% Bibliographie — Covoiturage offre↔demande & réseau en milieu urbain/périurbain
% Ciblé sur la problématique de thèse (2020-2026)

@article{papoutsis2021relaxing,
  title     = {{Relaxing door-to-door matching reduces passenger waiting times: a workflow for the analysis of driver GPS traces in a stochastic carpooling service}},
  author    = {Papoutsis, Panayotis and Fennia, Safa and Bridon, Constant and Duong, Tarn},
  journal   = {Transportation Engineering / arXiv},
  year      = {2021},
  url       = {https://arxiv.org/abs/2102.06381},
  keywords  = {PUDO, meeting points, stochastic matching, carpooling, peri-urban, demand-driven, offer-driven}
}

@article{thao2022drt,
  title     = {{Demand responsive transport: New insights from peri-urban experiences}},
  author    = {Thao, V. T. and Imhof, S. and von Arx, W.},
  journal   = {Travel Behaviour and Society},
  volume    = {31},
  pages     = {141--150},
  year      = {2022},
  doi       = {10.1016/j.tbs.2022.11.012},
  keywords  = {DRT, peri-urban, supply-demand, PT network, Switzerland, adoption}
}

@article{monchambert2020carpooling,
  title     = {{Why do (or don't) people carpool for long distance trips? A discrete choice experiment in France}},
  author    = {Monchambert, Guillaume},
  journal   = {Transportation Research Part A: Policy and Practice},
  volume    = {132},
  pages     = {911--931},
  year      = {2020},
  doi       = {10.1016/j.tra.2019.09.055},
  keywords  = {carpooling, discrete choice, demand-driven, behavioral factors, BlaBlaCar, France}
}

@article{chen2024commuter,
  title     = {{Multi-Objective Planning of Commuter Carpooling under Time-Varying Road Network}},
  author    = {Chen, et al.},
  journal   = {Sustainability},
  volume    = {16},
  number    = {2},
  pages     = {647},
  year      = {2024},
  doi       = {10.3390/su16020647},
  keywords  = {carpooling, commuter, multi-objective, offer-driven, road network, INSGA-II}
}

@article{acceqdrt2023,
  title     = {{AccEq-DRT: Planning Demand-Responsive Transit to reduce inequality of accessibility}},
  author    = {Bongiovanni, Claudia and others},
  journal   = {arXiv:2310.04348},
  year      = {2023},
  url       = {https://arxiv.org/pdf/2310.04348},
  keywords  = {DRT, equity, accessibility, peri-urban, supply-demand, network}
}

@article{qian2021bottleneck,
  title     = {{Temporal-spatial allocation of bottleneck capacity for managing morning commute with carpool}},
  author    = {Qian, Zhen Sean and others},
  journal   = {Transportation Research Part B: Methodological},
  volume    = {143},
  pages     = {177--200},
  year      = {2021},
  doi       = {10.1016/j.trb.2020.11.008},
  keywords  = {carpooling, bottleneck, morning commute, network capacity, supply-demand equilibrium, Wardrop}
}

% --- Articles générés automatiquement (2020-2026) ---

@article{yaorui2023general,
  title    = {{A general equilibrium model for multi-passenger ridesharing systems with stable matching}},
  author   = {Yao Rui and  Bekhor Shlomo},
  year     = {2023},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2023.05.012},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0191261523000929},
  keywords = {ridesharing equilibrium, stable matching, multi-passenger, supply-demand, network model}
}

@article{majie2022general,
  title    = {{General stochastic ridesharing user equilibrium problem with elastic demand}},
  author   = {Ma Jie and  Meng Qiang and  Cheng Lin and  Liu Zhiyuan},
  year     = {2022},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2022.05.011},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0191261522000947},
  keywords = {stochastic user equilibrium, ridesharing, elastic demand, route choice, network assignment}
}

@article{kejintao2022coordinating,
  title    = {{Coordinating supply and demand in ride-sourcing markets with pre-assigned pooling service and traffic congestion externality}},
  author   = {Ke Jintao and  Chen Xiqun and  Yang Hai and  Li Sen},
  year     = {2022},
  journal  = {Transportation Research Part E: Logistics and Transportation Review},
  doi      = {10.1016/j.tre.2022.102887},
  url      = {https://ideas.repec.org/a/eee/transe/v166y2022ics1366554522002642.html},
  keywords = {ride-sourcing, pooling service, supply-demand coordination, congestion externality, platform pricing}
}

@article{liuyining2023planning,
  title    = {{Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach}},
  author   = {Liu Yining and  Ouyang Yanfeng},
  year     = {2023},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2023.102910},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0191261523001029},
  keywords = {ride-pooling planning, detour restrictions, queuing network, spatial heterogeneity, service design}
}

@article{zwickfelix2022ridepooling,
  title    = {{Ride-pooling demand prediction: A spatiotemporal assessment in Germany}},
  author   = {Zwick Felix and  Axhausen Kay W.},
  year     = {2022},
  journal  = {Journal of Transport Geography},
  doi      = {10.1016/j.jtrangeo.2022.103307},
  url      = {https://www.sciencedirect.com/science/article/pii/S0966692322000308},
  keywords = {ride-pooling demand, spatiotemporal prediction, urban mobility, demand forecasting, Germany}
}

@article{goddejan2023characteristics,
  title    = {{User characteristics and spatial correlates of ride-pooling demand: Evidence from Berlin and Munich}},
  author   = {Gödde Jan and  Ruhrort Lisa and  Allert Viktoria and  Scheiner Joachim},
  year     = {2023},
  journal  = {Journal of Transport Geography},
  doi      = {10.1016/j.jtrangeo.2023.103596},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0966692323000686},
  keywords = {ride-pooling demand, user characteristics, spatial correlates, urban mobility, multimodal trips}
}

@article{catsoded2022shareability,
  title    = {{The shareability potential of ride-pooling under alternative spatial demand patterns}},
  author   = {Cats Oded},
  year     = {2022},
  journal  = {Transportmetrica A: Transport Science},
  doi      = {10.1080/23249935.2022.2140022},
  url      = {https://www.tandfonline.com/doi/full/10.1080/23249935.2022.2140022},
  keywords = {shareability, ride-pooling, spatial demand, pooling potential, urban structure}
}

@article{wujiyan2023managing,
  title    = {{Managing ridesharing with incentives in a bottleneck model}},
  author   = {Wu Jiyan and  Tian Ye and  Sun Jian},
  year     = {2023},
  journal  = {Research in Transportation Economics},
  doi      = {10.1016/j.retrec.2023.101349},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0739885923000896},
  keywords = {ridesharing, bottleneck model, incentives, user equilibrium, demand management}
}

@article{gaochang2025modeling,
  title    = {{Modeling and analyzing ride-hailing market equilibrium considering drivers' multi-homing choice behavior}},
  author   = {Gao Chang and  Wang Yineng and  He Fang and  Lin Xi},
  year     = {2025},
  journal  = {Transportation Research Part E: Logistics and Transportation Review},
  doi      = {10.1016/j.tre.2025.104055},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S1366554525000961},
  keywords = {ride-hailing equilibrium, multi-homing drivers, platform competition, supply-demand matching, market dynamics}
}

@article{wangyao2026subsidy,
  title    = {{Does subsidy increase the use of carpooling via platforms? The case of short-distance carpooling in France}},
  author   = {Wang Yao and  Monchambert Guillaume},
  year     = {2026},
  journal  = {Transportation Research Part A: Policy and Practice},
  doi      = {10.1016/j.tra.2025.104008},
  url      = {https://www.sciencedirect.com/science/article/pii/S0965856425004008},
  keywords = {carpooling subsidy, platform carpooling, France, demand elasticity, short-distance}
}

@article{legoffarnaud2025promoting,
  title    = {{Promoting urban carpooling: a social cost approach based on the Lyon case study}},
  author   = {Le Goff Arnaud and  Koning Martin and  Monchambert Guillaume and  Marchal Christophe and  Ray Jean-Baptiste},
  year     = {2025},
  journal  = {Les Cahiers Scientifiques du Transport},
  doi      = {10.46298/cst.13086},
  url      = {https://cst.episciences.org/16883},
  keywords = {urban carpooling, social cost, modal choice, Lyon, mobility policy}
}

@article{shulikaolha2022start,
  title    = {{Can we start sharing our rides again? The postpandemic ride-pooling market}},
  author   = {Shulika Olha and  Kucharski Rafal},
  year     = {2022},
  journal  = {arXiv preprint},
  url      = {https://arxiv.org/abs/2209.02229},
  keywords = {ride-pooling, post-pandemic, market recovery, supply-demand, traveller behaviour}
}

@article{kademkhadidja2024multimodal,
  title    = {{Multimodal urban transportation network equilibrium including intermodality and shared mobility services}},
  author   = {Kadem Khadidja and  Leclercq Ludovic and  Becarie Clément and  Delhoum Yanis},
  year     = {2024},
  journal  = {arXiv preprint},
  url      = {https://arxiv.org/abs/2402.00735},
  keywords = {multimodal equilibrium, shared mobility, intermodality, network assignment, urban transport}
}

@article{wangyao2025promoting,
  title    = {{Promoting carpooling on car-hailing platforms: Order allocation and motivating subsidy}},
  author   = {Wang Yao and  Liu Zhiyuan and  Chow Joseph Y.J.},
  year     = {2025},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2025.103131},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0191261525001316},
  keywords = {carpooling promotion, order allocation, car-hailing platform, queuing model, subsidy design}
}

@article{mavih2024ruralurban,
  title    = {{What does it take for rural-urban commuters to switch from driving to carpooling?}},
  author   = {Mavi H. and  Ranjbari A. and  Guler S.I. and  Gayah V.V.},
  year     = {2024},
  journal  = {Transportation Research Part F: Traffic Psychology and Behaviour},
  doi      = {10.1016/j.trf.2024.09.007},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S1369847824002845},
  keywords = {rural-urban commuting, carpooling adoption, willingness to carpool, time flexibility, behavioral factors}
}

@article{zhangj2025solving,
  title    = {{On solving the suburban commuting problem in megacities: Integrating ridesharing with urban rail transit}},
  author   = {Zhang J. and  Liu Y. and  Wang W. and  Chen X.},
  year     = {2025},
  journal  = {Transportation Research Part C: Emerging Technologies},
  doi      = {10.1016/j.trc.2025.104921},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0968090X2500124X},
  keywords = {suburban commuting, ridesharing, urban rail transit, megacity, multimodal integration}
}

@article{legoffa2022driving,
  title    = {{Are solo driving commuters ready to switch to carpool? Heterogeneity of preferences in Lyon's urban area}},
  author   = {Le Goff A. and  Monchambert G. and  Raux C.},
  year     = {2022},
  journal  = {Transport Policy},
  doi      = {10.1016/j.tranpol.2021.10.001},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0967070X21002833},
  keywords = {carpooling, discrete choice experiment, commuting, mode shift, value of travel time}
}

@article{bulteauj2023encouraging,
  title    = {{Encouraging carpooling for commuting in the Paris area (France): which incentives and for whom?}},
  author   = {Bulteau J. and  Feuillet T. and  Dantan S. and  Abbes S.},
  year     = {2023},
  journal  = {Transportation},
  doi      = {10.1007/s11116-021-10237-w},
  url      = {https://link.springer.com/article/10.1007/s11116-021-10237-w},
  keywords = {carpooling incentives, Paris region, commuting, willingness to carpool, logistic regression}
}

@article{cellinaf2024trust,
  title    = {{Trust me if you can: Practical challenges affecting the integration of carpooling in Mobility-as-a-Service platforms}},
  author   = {Cellina F. and  Derboni M. and  Giuffrida V. and  Tomic U. and  Hoerler R.},
  year     = {2024},
  journal  = {Travel Behaviour and Society},
  doi      = {10.1016/j.tbs.2024.100832},
  url      = {https://www.sciencedirect.com/science/article/pii/S2214367X24000954},
  keywords = {carpooling, Mobility-as-a-Service, MaaS, trust, peri-urban mobility}
}

@article{cellinaf2026uneasy,
  title    = {{(Un)Easy Riders: The real-world potential of integrating carpooling into digital travel planners}},
  author   = {Cellina F. and  Tomic U. and  Hoerler R. and  Derboni M. and  Giuffrida V.},
  year     = {2026},
  journal  = {Travel Behaviour and Society},
  doi      = {10.1016/j.tbs.2026.101258},
  url      = {https://www.sciencedirect.com/science/article/pii/S2214367X2600027X},
  keywords = {carpooling, digital travel planner, MaaS, critical mass, Switzerland}
}

@article{saxenaa2023carpooling,
  title    = {{Carpooling: Who is closest to adopting it? An investigation into the potential car-poolers among private vehicle users: A case of a developing country, India}},
  author   = {Saxena A. and  Gupta V.},
  year     = {2023},
  journal  = {Transport Policy},
  doi      = {10.1016/j.tranpol.2023.03.007},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0967070X23000665},
  keywords = {carpooling adoption, private vehicle users, two-step cluster, India, sustainable commuting}
}

@article{yix2022research,
  title    = {{Research on commuters' carpooling behavior in the mobile internet context}},
  author   = {Yi X. and  Lian F. and  Yang Z.},
  year     = {2022},
  journal  = {Transport Policy},
  doi      = {10.1016/j.tranpol.2022.05.001},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0967070X22001810},
  keywords = {carpooling behavior, mobile internet, logit model, information asymmetry, commuting}
}

@article{adeles2020learning,
  title    = {{Learning from the real practices of users of a smart carpooling app}},
  author   = {Adelé S. and  Dionisio C.},
  year     = {2020},
  journal  = {European Transport Research Review},
  doi      = {10.1186/s12544-020-00429-3},
  url      = {https://etrr.springeropen.com/articles/10.1186/s12544-020-00429-3},
  keywords = {carpooling app, commuting, user behavior, smart mobility, short-distance carpooling}
}

@inproceedings{chaabouniy2022poollines,
  title    = {{PoolLines: Modeling Carpooling as Ephemeral Lines in GTFS for effective integration with Public Transit}},
  author   = {Chaabouni Y. and  Araldo A. and  de Palma A. and  Arib S.},
  year     = {2022},
  booktitle  = {Proceedings of the 15th International Workshop on Computational Transportation Science (IWCTS 2022)},
  doi      = {10.1145/3557991.3567795},
  url      = {https://arxiv.org/abs/2210.07578},
  keywords = {carpooling, GTFS, public transit integration, first mile, multimodal transport}
}

@article{dongx2024analytical,
  title    = {{An analytical model of many-to-one carpool system performance under cost-based detour limits}},
  author   = {Dong X. and  Liu H. and  Gayah V.V.},
  year     = {2024},
  journal  = {International Journal of Transportation Science and Technology},
  doi      = {10.1016/j.ijtst.2024.05.007},
  url      = {https://www.sciencedirect.com/science/article/pii/S2046043024000637},
  keywords = {carpooling, many-to-one demand, suburban commute, match rate, analytical model}
}

@article{thaovuthi2023demand,
  title    = {{Demand responsive transport: New insights from peri-urban experiences}},
  author   = {Thao Vu Thi and  Imhof Sebastian and  von Arx Widar},
  year     = {2023},
  journal  = {Travel Behaviour and Society},
  doi      = {10.1016/j.tbs.2022.11.012},
  url      = {https://doi.org/10.1016/j.tbs.2022.11.012},
  keywords = {demand responsive transport, peri-urban, modal shift, DRT design, user behaviour}
}

@article{itanialaa2024guiding,
  title    = {{Guiding principles for integrating on-demand transit into conventional transit networks: A review of literature and practice}},
  author   = {Itani Alaa and  Klumpenhouwer Willem and  Shalaby Amer and  Hemily Brendon},
  year     = {2024},
  journal  = {Transport Policy},
  doi      = {10.1016/j.tranpol.2024.01.007},
  url      = {https://doi.org/10.1016/j.tranpol.2024.01.007},
  keywords = {on-demand transit, transit network integration, ODT planning, microtransit, flexible transit}
}

@article{capodiciandreaemanuele2024de,
  title    = {{Designing microtransit services in suburban areas: A case study in Palermo, Italy}},
  author   = {Capodici Andrea Emanuele and  D'Orso Gabriele and  Migliore Manfredi and  Vittorietti Matteo},
  year     = {2024},
  journal  = {Transportation Research Interdisciplinary Perspectives},
  doi      = {10.1016/j.trip.2024.101132},
  url      = {https://www.sciencedirect.com/science/article/pii/S2210539524000932},
  keywords = {microtransit, suburban, service design, stated preference, demand modelling}
}

@article{capodiciandreaemanuele2025st,
  title    = {{A Stated Preference Survey to Forecast Microtransit Choice in Suburban Areas with Low Public Transport Ridership}},
  author   = {Capodici Andrea Emanuele and  D'Orso Gabriele and  Migliore Manfredi and  Vittorietti Matteo},
  year     = {2025},
  journal  = {Journal of Urban Planning and Development},
  doi      = {10.1061/JUPDDM.UPENG-5100},
  url      = {https://doi.org/10.1061/JUPDDM.UPENG-5100},
  keywords = {microtransit, stated preference, suburban, modal choice, low ridership}
}

@article{calabrogiovanni2025where,
  title    = {{Where and when does demand-responsive transport work best? A parametric analysis using agent-based modelling}},
  author   = {Calabrò Giovanni and  Le Pira Michela and  Inturri Giuseppe},
  year     = {2025},
  journal  = {European Journal of Transport and Infrastructure Research},
  doi      = {10.1016/j.ejtl.2025.100173},
  url      = {https://www.sciencedirect.com/science/article/pii/S2192437625000226},
  keywords = {demand-responsive transport, agent-based modelling, parametric analysis, urban context, DRT performance}
}

@article{hoingniklas2025integrating,
  title    = {{Integrating demand-responsive services into public transport networks – Results from agent-based simulation of demand-responsive transport scenarios for the city of Aachen}},
  author   = {Höing Niklas and  Burla Pradeep and  Louen Conny and  Böhnen Carina and  Kuhnimhof Tobias},
  year     = {2025},
  journal  = {Research in Transportation Economics},
  doi      = {10.1016/j.retrec.2025.101477},
  url      = {https://www.sciencedirect.com/science/article/pii/S1077291X25000281},
  keywords = {DRT, agent-based simulation, public transport network, feeder scenario, replacement scenario}
}

@article{wangduo2025planning,
  title    = {{Planning Demand-Responsive Transit to reduce inequality of accessibility}},
  author   = {Wang Duo and  Araldo Andrea and  El Yacoubi Mounim},
  year     = {2025},
  journal  = {Transportation Research Part A: Policy and Practice},
  doi      = {10.1016/j.tra.2025.104544},
  url      = {https://doi.org/10.1016/j.tra.2025.104544},
  keywords = {DRT planning, accessibility equity, continuous approximation, multimodal graph, transport inequality}
}

@article{bursabartosz2026benefits,
  title    = {{Benefits and harms of DRT in suburban areas – analysis of user motivations, ridership, and side effects of an app-based demand-responsive transit}},
  author   = {Bursa Bartosz and  Rabeneick Nils and  Ebner Ferdinand and  Mailer Markus},
  year     = {2026},
  journal  = {Transportation Research Interdisciplinary Perspectives},
  doi      = {10.1016/j.trip.2026.101364},
  url      = {https://www.sciencedirect.com/science/article/pii/S2667091726000099},
  keywords = {DRT, suburban areas, ridership, user motivations, side effects}
}

@article{mahfouzhussein2025delineatin,
  title    = {{Delineating potential DRT operating areas: An origin–destination clustering approach}},
  author   = {Mahfouz Hussein and  Morgan Malcolm and  Heinen Eva and  Lovelace Robin},
  year     = {2025},
  journal  = {Journal of Urban Mobility},
  doi      = {10.1016/j.urbmob.2025.100135},
  url      = {https://doi.org/10.1016/j.urbmob.2025.100135},
  keywords = {DRT, service area delineation, origin-destination clustering, spatial analysis, network planning}
}

@article{hochinhquoc2025suitable,
  title    = {{Suitable placement for on-demand Transport (SPOT): A systematic approach to network integration}},
  author   = {Ho Chinh Quoc and  Kieu Long Minh and  Yeh Chung-Jen},
  year     = {2025},
  journal  = {Research in Transportation Business and Management},
  doi      = {10.1016/j.rtbm.2025.101364},
  url      = {https://www.sciencedirect.com/science/article/pii/S2210539525000793},
  keywords = {on-demand transport, network integration, service area selection, ODT planning, market segments}
}

@article{vasiutinahanna2025simflex,
  title    = {{SimFLEX: A methodology for comparative analysis of urban areas for implementing new on-demand feeder bus services}},
  author   = {Vasiutina Hanna and  Shulika Olha and  Bujak Michal and  Ghasemi Farnoud and  Kucharski Rafal},
  year     = {2025},
  journal  = {Research in Transportation Economics},
  doi      = {10.1016/j.retrec.2025.101478},
  url      = {https://www.sciencedirect.com/science/article/pii/S1077291X2500027X},
  keywords = {on-demand feeder, microsimulation, comparative analysis, DRT, service attractiveness}
}

@article{kimjunghwan2026causal,
  title    = {{Causal impacts of demand responsive transit on public transit demand: A spatial assessment framework}},
  author   = {Kim Junghwan and  Choi Keechoo},
  year     = {2026},
  journal  = {Transport Policy},
  doi      = {10.1016/j.tranpol.2026.104008},
  url      = {https://www.sciencedirect.com/science/article/pii/S0967070X26000181},
  keywords = {DRT, causal impact, public transit demand, spatial framework, rural Korea}
}

@article{powellbenjamin2024improving,
  title    = {{Improving demand responsive transit services: Insights from the London field test}},
  author   = {Powell Benjamin and  Acharya Siddharth and  Zakaria Randa and  Grahn Ryan and  Henao Alejandro},
  year     = {2024},
  journal  = {Journal of Public Transportation},
  doi      = {10.1016/j.jpubtr.2024.100062},
  url      = {https://www.sciencedirect.com/science/article/pii/S1077291X24000274},
  keywords = {DRT field test, London, GoSutton, service evaluation, suburban DRT}
}

@article{chenzhiwei2025optimal,
  title    = {{Optimal design of fixed-route and demand-responsive transit with a dynamic stop strategy}},
  author   = {Chen Zhiwei and  Li Xiaopeng and  Liu Xiaobo},
  year     = {2025},
  journal  = {Transportation Research Part A: Policy and Practice},
  doi      = {10.1016/j.tra.2025.104509},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0965856425002095},
  keywords = {hybrid transit, dynamic stop strategy, fixed-route, DRT, network design optimisation}
}

@article{tafreshianamirmahdi2020front,
  title    = {{Frontiers in Service Science: Ride Matching for Peer-to-Peer Ride Sharing: A Review and Future Directions}},
  author   = {Tafreshian Amirmahdi and  Masoud Neda and  Yin Yafeng},
  year     = {2020},
  journal  = {Service Science},
  doi      = {10.1287/serv.2020.0258},
  url      = {https://pubsonline.informs.org/doi/10.1287/serv.2020.0258},
  keywords = {peer-to-peer ridesharing, ride matching, driver-passenger compatibility, carpooling algorithms, shared mobility}
}

@article{liuxin2020passengertodriver,
  title    = {{A passenger-to-driver matching model for commuter carpooling: Case study and sensitivity analysis}},
  author   = {Liu Xin and  Titheridge Helena and  Yan Xuedong and  Wang Rui and  Tan Wenxuan and  Chen Di and  Zhang Jianyuan},
  year     = {2020},
  journal  = {Transportation Research Part C: Emerging Technologies},
  doi      = {10.1016/j.trc.2020.102702},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0968090X20306173},
  keywords = {commuter carpooling, passenger-driver matching, sensitivity analysis, shared mobility, London}
}

@article{liyuanyuan2020pathbased,
  title    = {{A path-based equilibrium model for ridesharing matching}},
  author   = {Li Yuanyuan and  Liu Yang and  Xie Jun},
  year     = {2020},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2020.05.007},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0191261520303234},
  keywords = {ridesharing equilibrium, path-based matching, driver-rider matching, traffic assignment, network equilibrium}
}

@article{depalmaandre2022influence,
  title    = {{Influence of dynamic congestion with scheduling preferences on carpooling matching with heterogeneous users}},
  author   = {de Palma André and  Stokkink Patrick and  Geroliminis Nikolas},
  year     = {2022},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2021.11.005},
  url      = {https://www.sciencedirect.com/science/article/pii/S0191261521002113},
  keywords = {carpooling matching, dynamic congestion, scheduling preferences, heterogeneous users, bottleneck model}
}

@article{liuhongping2023multiobjectiv,
  title    = {{Multi-Objective Intercity Carpooling Route Optimization Considering Carbon Emission}},
  author   = {Liu Hongping and  Zhang Jing and  Li Wenfeng and  Chen Peng},
  year     = {2023},
  journal  = {Sustainability},
  doi      = {10.3390/su15032261},
  url      = {https://www.mdpi.com/2071-1050/15/3/2261},
  keywords = {intercity carpooling, multi-objective optimization, carbon emission, PSO-NSGA-II, route optimization}
}

@article{zhangjing2023driverrider,
  title    = {{Driver-rider matching and route optimization in carpooling service for delivering intercity commuters to the high-speed railway station}},
  author   = {Zhang Jing and  Liu Hongping and  Chen Peng and  Wang Jiahui},
  year     = {2023},
  journal  = {Expert Systems with Applications},
  doi      = {10.1016/j.eswa.2023.120099},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0957417423007339},
  keywords = {driver-rider matching, route optimization, intercity carpooling, high-speed railway, NSGA-II}
}

@article{lijin2024multiobjective,
  title    = {{Multi-Objective Planning of Commuter Carpooling under Time-Varying Road Network}},
  author   = {Li Jin and  Zhang Hongping and  Liu Huasheng and  Wang Shiyan},
  year     = {2024},
  journal  = {Sustainability},
  doi      = {10.3390/su16020647},
  url      = {https://doi.org/10.3390/su16020647},
  keywords = {commuter carpooling, multi-objective optimization, time-varying network, INSGA-II, vehicle capacity}
}

@article{liuyang2024estimating,
  title    = {{Estimating emissions reductions with carpooling and vehicle dispatching in ridesourcing mobility}},
  author   = {Liu Yang and  Wang Jiawei and  Zhang Hao and  Chen Xiqun},
  year     = {2024},
  journal  = {npj Sustainable Mobility and Transport},
  doi      = {10.1038/s44333-024-00015-3},
  url      = {https://www.nature.com/articles/s44333-024-00015-3},
  keywords = {carpooling optimization, emissions reduction, vehicle dispatching, ridesourcing, fleet size}
}

@article{dumuqing2024stochastic,
  title    = {{A stochastic ridesharing user equilibrium model with origin-destination-based ride-matching strategy}},
  author   = {Du Muqing and  Zhou Jiankun and  Li Guoyuan and  Tan Heqing and  Chen Anthony},
  year     = {2024},
  journal  = {Transportation Research Part E: Logistics and Transportation Review},
  doi      = {10.1016/j.tre.2024.103540},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S1366554524002795},
  keywords = {stochastic user equilibrium, ridesharing matching, origin-destination, elastic demand, network assignment}
}

@article{lotfisalma2022matching,
  title    = {{Ride matching and vehicle routing for on-demand mobility services}},
  author   = {Lotfi Salma and  Abdelghany Khaled},
  year     = {2022},
  journal  = {Journal of Heuristics},
  doi      = {10.1007/s10732-022-09491-7},
  url      = {https://link.springer.com/article/10.1007/s10732-022-09491-7},
  keywords = {ride matching, vehicle routing, on-demand mobility, hybrid heuristic, ridesharing}
}

@article{tuncelkerem2023integrated,
  title    = {{An integrated ride-matching and vehicle-rebalancing model for shared mobility on-demand services}},
  author   = {Tuncel Kerem and  Bish Douglas R.},
  year     = {2023},
  journal  = {Computers and Operations Research},
  doi      = {10.1016/j.cor.2023.106266},
  url      = {https://www.sciencedirect.com/science/article/pii/S0305054823001818},
  keywords = {ride-matching, vehicle rebalancing, shared mobility, on-demand services, integrated optimization}
}

@article{fathollahifardamirmohammad20,
  title    = {{Sustainable ridesharing routing and scheduling problem: an efficient multi-objective adaptive large neighborhood search}},
  author   = {Fathollahi-Fard Amir Mohammad and  Liu Weilong and  Du Ningning},
  year     = {2025},
  journal  = {Annals of Operations Research},
  doi      = {10.1007/s10479-025-06477-z},
  url      = {https://link.springer.com/article/10.1007/s10479-025-06477-z},
  keywords = {ridesharing routing, multi-objective optimization, adaptive large neighborhood search, carbon emissions, passenger delays}
}

@article{fielbaumandres2021ondemand,
  title    = {{On-demand ridesharing with optimized pick-up and drop-off walking locations}},
  author   = {Fielbaum Andres and  Bai Xiaoshan and  Alonso-Mora Javier},
  year     = {2021},
  journal  = {Transportation Research Part C: Emerging Technologies},
  doi      = {10.1016/j.trc.2021.103061},
  url      = {https://doi.org/10.1016/j.trc.2021.103061},
  keywords = {ridesharing, virtual stops, pickup dropoff optimization, walking locations, on-demand mobility}
}

@article{lotzecharlotte2022dynamic,
  title    = {{Dynamic stop pooling for flexible and sustainable ride sharing}},
  author   = {Lotze Charlotte and  Marszal Philip and  Schröder Malte and  Timme Marc},
  year     = {2022},
  journal  = {New Journal of Physics},
  doi      = {10.1088/1367-2630/ac47c9},
  url      = {https://doi.org/10.1088/1367-2630/ac47c9},
  keywords = {stop pooling, ridesharing, sustainability, walking distance, dynamic optimization}
}

@article{lotzecharlotte2023taming,
  title    = {{Taming Travel Time Fluctuations through Adaptive Stop Pooling}},
  author   = {Lotze Charlotte and  Marszal Philip and  Schröder Malte and  Timme Marc},
  year     = {2023},
  journal  = {arXiv preprint},
  url      = {https://arxiv.org/abs/2306.13356},
  keywords = {adaptive stop pooling, travel time reliability, ridesharing, demand variability, service quality}
}

@article{fielbaumandres2024improving,
  title    = {{Improving public transportation via line-based integration of on-demand ridepooling}},
  author   = {Fielbaum Andres and  Tirachini Alejandro and  Alonso-Mora Javier},
  year     = {2024},
  journal  = {Transportation Research Part A: Policy and Practice},
  doi      = {10.1016/j.tra.2024.104289},
  url      = {https://doi.org/10.1016/j.tra.2024.104289},
  keywords = {line-based ridepooling, public transport integration, fixed route, on-demand, hybrid transit}
}

@article{lixiang2023enhanced,
  title    = {{An Enhanced Semi-Flexible Transit Service with Introducing Meeting Points}},
  author   = {Li Xiang and  Liu Wei and  Qiao Junfeng and  Li Jingwei},
  year     = {2023},
  journal  = {Networks and Spatial Economics},
  doi      = {10.1007/s11067-022-09583-8},
  url      = {https://doi.org/10.1007/s11067-022-09583-8},
  keywords = {semi-flexible transit, meeting points, flexible stop, detour reduction, transit optimization}
}

@article{harmanndennis2022methodologi,
  title    = {{Methodological Distribution of Virtual Stops for Ridepooling}},
  author   = {Harmann Dennis and  Knoll Christian and  Schäfer Tobias and  Lüttmerding Arne},
  year     = {2022},
  journal  = {Transportation Research Procedia},
  doi      = {10.1016/j.trpro.2022.02.055},
  url      = {https://doi.org/10.1016/j.trpro.2022.02.055},
  keywords = {virtual stops, ridepooling, PUDO placement, stop distribution, shared mobility}
}

@article{kucharskirafal2024hyper,
  title    = {{Hyper pooling private trips into high occupancy transit like attractive shared rides}},
  author   = {Kucharski Rafal and  Cats Oded},
  year     = {2024},
  journal  = {npj Sustainable Mobility and Transport},
  doi      = {10.1038/s44333-024-00006-4},
  url      = {https://doi.org/10.1038/s44333-024-00006-4},
  keywords = {hyper-pooling, transit-like ridesharing, high occupancy, demand aggregation, shared rides}
}

@article{cortenbachleoniee2024dialari,
  title    = {{The Dial-a-Ride Problem with Meeting Points: A Problem Formulation for Shared Demand-Responsive Transit}},
  author   = {Cortenbach Leonie E. and  Gkiotsalitis Konstantinos and  van Berkum Eric C. and  Walraven Erwin},
  year     = {2024},
  journal  = {Transportation Research Part C: Emerging Technologies},
  doi      = {10.1016/j.trc.2024.104869},
  url      = {https://doi.org/10.1016/j.trc.2024.104869},
  keywords = {dial-a-ride, meeting points, demand-responsive transit, tabu search, shared mobility}
}

@article{lixiang2024applicability,
  title    = {{Applicability Analysis of a Line-Based Hybrid Transit System in Different Road Structures}},
  author   = {Li Xiang and  Liu Wei and  Chen Zhiyuan},
  year     = {2024},
  journal  = {Journal of Transportation Engineering, Part A: Systems},
  doi      = {10.1061/JTEPBS.TEENG-8314},
  url      = {https://doi.org/10.1061/JTEPBS.TEENG-8314},
  keywords = {line-based hybrid transit, fixed route, demand-responsive, road structure, transit applicability}
}

@article{ngmaxtm2024semiondemand,
  title    = {{Semi-on-Demand Hybrid Transit Route Design with Shared Autonomous Mobility Services}},
  author   = {Ng Max T. M. and  Dandl Florian and  Mahmassani Hani S. and  Bogenberger Klaus},
  year     = {2024},
  journal  = {arXiv preprint},
  url      = {https://arxiv.org/abs/2403.15804},
  keywords = {semi-on-demand transit, hybrid route design, shared autonomous vehicles, flexible route, fixed route}
}

@article{papoutsispanayotis2021relaxi,
  title    = {{Relaxing door-to-door matching reduces passenger waiting times: a workflow for the analysis of driver GPS traces in a stochastic carpooling service}},
  author   = {Papoutsis Panayotis and  Fennia Safa and  Bridon Constant and  Duong Tarn},
  year     = {2021},
  journal  = {Transportation Engineering},
  doi      = {10.1016/j.treng.2021.100061},
  url      = {https://doi.org/10.1016/j.treng.2021.100061},
  keywords = {stochastic carpooling, meeting points, door-to-door, peri-urban, GPS traces}
}

@article{fanwenbo2024optimal,
  title    = {{Optimal design of ride-pooling as on-demand feeder services}},
  author   = {Fan Wenbo and  Gu Weihua and  Xu Meng},
  year     = {2024},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2024.102964},
  url      = {https://doi.org/10.1016/j.trb.2024.102964},
  keywords = {ride-pooling, feeder service, transit terminal, hold-dispatch strategy, network design}
}

@article{wangshen2025networkbased,
  title    = {{Network-based pick-up and drop-off location optimization for shared autonomous vehicles}},
  author   = {Wang Shen and  Ding Fang and  Wang Yinhai and  Zhang Lei},
  year     = {2025},
  journal  = {Urban Informatics},
  doi      = {10.1007/s44212-025-00073-z},
  url      = {https://doi.org/10.1007/s44212-025-00073-z},
  keywords = {PUDO optimization, network kernel density, shared autonomous vehicles, pick-up drop-off, spatial optimization}
}

@inproceedings{wangjiachuan2022online,
  title    = {{Online Ridesharing with Meeting Points}},
  author   = {Wang Jiachuan and  Cheng Peng and  Zheng Libin and  Chen Lei and  Zhang Wenjie},
  year     = {2022},
  booktitle  = {Proceedings of the VLDB Endowment},
  doi      = {10.14778/3565838.3565849},
  url      = {https://doi.org/10.14778/3565838.3565849},
  keywords = {online ridesharing, meeting points, NP-hard, PUDO, algorithmic optimization}
}

@article{liujianming2023advanced,
  title    = {{Advanced algorithms for optimal meeting points in road networks}},
  author   = {Liu Jianming and  Zhang Jingwei},
  year     = {2023},
  journal  = {IET Intelligent Transport Systems},
  doi      = {10.1049/itr2.12323},
  url      = {https://doi.org/10.1049/itr2.12323},
  keywords = {meeting points, road networks, optimal location, spatial queries, transportation algorithms}
}

@article{laupichlermoritz2023manytoma,
  title    = {{Fast Many-to-Many Routing for Ridesharing with Multiple Pickup and Dropoff Locations}},
  author   = {Laupichler Moritz and  Sanders Peter},
  year     = {2023},
  journal  = {European Symposium on Algorithms (ESA 2023)},
  doi      = {10.48550/arXiv.2305.05417},
  url      = {https://arxiv.org/abs/2305.05417},
  keywords = {ridesharing routing, multiple PUDO, fleet scheduling, meeting points, algorithm}
}

@article{stumpemiriam2024designing,
  title    = {{Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study}},
  author   = {Stumpe Miriam and  Dieter Peter and  Schryen Guido and  Müller Oliver and  Beverungen Daniel},
  year     = {2024},
  journal  = {Transportation Research Part A: Policy and Practice},
  doi      = {10.1016/j.tra.2024.104063},
  url      = {https://doi.org/10.1016/j.tra.2024.104063},
  keywords = {taxi ridesharing, shared PUDO, rolling horizon, computational study, service design}
}

@article{hunterchristianb2024allocati,
  title    = {{Curb Allocation and Pick-Up Drop-Off Aggregation for a Shared Autonomous Vehicle Fleet}},
  author   = {Hunter Christian B. and  Kockelman Kara M. and  Djavadian Shadi},
  year     = {2024},
  journal  = {International Regional Science Review},
  doi      = {10.1177/01600176231160498},
  url      = {https://doi.org/10.1177/01600176231160498},
  keywords = {PUDO aggregation, shared autonomous vehicles, curb allocation, agent-based simulation, fleet operations}
}

@article{yanjulia2025trading,
  title    = {{Trading Flexibility for Adoption: From Dynamic to Static Walking in Ride-Sharing}},
  author   = {Yan Julia and  Martin Sébastien and  Taylor Sean J.},
  year     = {2025},
  journal  = {Management Science},
  doi      = {10.1287/mnsc.2022.03201},
  url      = {https://doi.org/10.1287/mnsc.2022.03201},
  keywords = {static walking, dynamic walking, PUDO, ride-sharing adoption, pickup location}
}

@article{liyafei2025ondemand,
  title    = {{On-demand ride-sharing with the walking incentive for meeting points}},
  author   = {Li Yafei and  Sun Huijun and  Zhang Wei and  Lv Ying and  Chang Ximing},
  year     = {2025},
  journal  = {Transportation Research Part C: Emerging Technologies},
  doi      = {10.1016/j.trc.2025.105098},
  url      = {https://doi.org/10.1016/j.trc.2025.105098},
  keywords = {walking incentive, meeting points, ride-sharing, multi-objective optimization, PUDO}
}

@article{mahtabzuhayer2025ridesharing,
  title    = {{The ridesharing routing problem with flexible pickup and drop-off points}},
  author   = {Mahtab Zuhayer and  Hu Shichun and  Dessouky Maged and  Ordoñez Fernando},
  year     = {2025},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2025.103234},
  url      = {https://doi.org/10.1016/j.trb.2025.103234},
  keywords = {flexible PUDO, ridesharing routing, branch-and-price, meeting points, vehicle travel time}
}

@article{dongtingting2025integrated,
  title    = {{Integrated optimization of ride-pooling and shared micro-mobility services with meeting points}},
  author   = {Dong Tingting and  Hu Yulong and  Wang Zemin and  Li Sen},
  year     = {2025},
  journal  = {Transportation Research Part C: Emerging Technologies},
  doi      = {10.1016/j.trc.2025.104953},
  url      = {https://doi.org/10.1016/j.trc.2025.104953},
  keywords = {ride-pooling, micro-mobility, meeting points, multimodal optimization, PUDO}
}

@article{alonsogonzalezmariaj2021dete,
  title    = {{What are the determinants of the willingness to share rides in pooled on-demand services?}},
  author   = {Alonso-González María J. and  Cats Oded and  van Oort Niels and  Hoogendoorn-Lanser Sascha and  Hoogendoorn Serge},
  year     = {2021},
  journal  = {Transportation},
  doi      = {10.1007/s11116-020-10110-2},
  url      = {https://link.springer.com/article/10.1007/s11116-020-10110-2},
  keywords = {ride-pooling, willingness to share, on-demand mobility, behavioral determinants, user preferences}
}

@article{stiglicmitja2021performance,
  title    = {{Performance of reservation-based carpooling services under detour and waiting time restrictions}},
  author   = {Stiglic Mitja and  Agatz Niels and  Savelsbergh Martin and  Gradisar Mirko},
  year     = {2021},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2021.06.007},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0191261521001181},
  keywords = {carpooling, reservation-based, detour restrictions, waiting time, matching performance}
}

@article{deruijterarjan2023ridepoolin,
  title    = {{Ride-pooling adoption, efficiency and level of service under alternative demand, behavioural and pricing settings}},
  author   = {de Ruijter Arjan and  Cats Oded and  Alonso-Mora Javier and  Hoogendoorn Serge},
  year     = {2023},
  journal  = {Transportation Planning and Technology},
  doi      = {10.1080/03081060.2023.2194874},
  url      = {https://www.tandfonline.com/doi/full/10.1080/03081060.2023.2194874},
  keywords = {ride-pooling, adoption, behavioral settings, pricing, level of service}
}

@article{camargomorenoyessenia2024dec,
  title    = {{Decision-making in open carpooling programs: Perspectives of drivers versus passengers}},
  author   = {Camargo-Moreno Yessenia and  García-Mora Felipe and  Sarmiento Ivan},
  year     = {2024},
  journal  = {Travel Behaviour and Society},
  doi      = {10.1016/j.tbs.2024.100759},
  url      = {https://www.sciencedirect.com/science/article/pii/S2214367X2400022X},
  keywords = {carpooling, decision-making, drivers, passengers, integrated choice latent variable}
}

@article{diazcelyjorge2026exploring,
  title    = {{Exploring peer-to-peer paid carpooling in Bogotá: A path to sustainable shared mobility}},
  author   = {Díaz-Cely Jorge and  Cantillo Víctor and  Arellana Julián},
  year     = {2026},
  journal  = {Travel Behaviour and Society},
  doi      = {10.1016/j.tbs.2026.101243},
  url      = {https://www.sciencedirect.com/science/article/pii/S2214367X26000128},
  keywords = {peer-to-peer carpooling, Bogotá, sustainable mobility, logit model, machine learning}
}

@article{kucharskirafa2025urban,
  title    = {{An urban shared pooled mobility system cuts distance travelled by over 50%}},
  author   = {Kucharski Rafał and  Cats Oded and  Sienkiewicz Julita},
  year     = {2025},
  journal  = {Transportation Research Part D: Transport and Environment},
  doi      = {10.1016/j.trd.2025.104501},
  url      = {https://www.sciencedirect.com/science/article/pii/S1361920925001361},
  keywords = {ride-pooling, vehicle mileage reduction, urban mobility, demand aggregation, shared vehicles}
}

@article{zengtao2023integrated,
  title    = {{Integrated design framework for on-demand transit system based on spatiotemporal mobility patterns}},
  author   = {Zeng Tao and  Li Xinwei and  Ke Jintao and  Yang Hai},
  year     = {2023},
  journal  = {Transportation Research Part C: Emerging Technologies},
  doi      = {10.1016/j.trc.2023.104047},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0968090X23000761},
  keywords = {on-demand transit, spatiotemporal patterns, network design, demand-driven, mobility data}
}

@article{fielbaumandres2024ridepoolin,
  title    = {{Ride-pooling service assessment with heterogeneous travellers in non-deterministic setting}},
  author   = {Fielbaum Andrés and  Alonso-Mora Javier},
  year     = {2024},
  journal  = {Transportation},
  doi      = {10.1007/s11116-024-10527-z},
  url      = {https://link.springer.com/article/10.1007/s11116-024-10527-z},
  keywords = {ride-pooling, heterogeneous travelers, behavioral uncertainty, service assessment, demand modeling}
}

@article{manzonivaleria2024demandresp,
  title    = {{Demand-Responsive Transport for Urban Mobility: Integrating Mobile Data Analytics to Enhance Public Transportation Systems}},
  author   = {Manzoni Valeria and  Morreel Emma and  Leclercq Ludovic and  Calabrò Gaetano},
  year     = {2024},
  journal  = {Sustainability},
  doi      = {10.3390/su16114367},
  url      = {https://www.mdpi.com/2071-1050/16/11/4367},
  keywords = {demand-responsive transport, mobile data, urban mobility, user-centric, public transport enhancement}
}

@article{venterchristoffel2023integra,
  title    = {{Integration of ridesharing and activity travel pattern generation}},
  author   = {Venter Christoffel and  Joubert Jan and  Mitteregger Mathias},
  year     = {2023},
  journal  = {Transportmetrica A: Transport Science},
  doi      = {10.1080/23249935.2023.2241570},
  url      = {https://www.tandfonline.com/doi/full/10.1080/23249935.2023.2241570},
  keywords = {ridesharing, activity-based demand, travel pattern, demand modeling, behavioral simulation}
}

@article{zhonglin2020dynamic,
  title    = {{Dynamic carpool in morning commute: Role of high-occupancy-vehicle (HOV) and high-occupancy-toll (HOT) lanes}},
  author   = {Zhong Lin and  Zhang Kenan and  Nie Yu and  Xu Jiuping},
  year     = {2020},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2020.03.002},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0191261519302255},
  keywords = {carpooling, HOV lanes, morning commute, supply-side policy, bottleneck model}
}

@article{boysennils2021optimizing,
  title    = {{Optimizing carpool formation along high-occupancy vehicle lanes}},
  author   = {Boysen Nils and  Briskorn Dirk and  Schwerdfeger Stefan and  Stephan Konrad},
  year     = {2021},
  journal  = {European Journal of Operational Research},
  doi      = {10.1016/j.ejor.2020.12.053},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0377221720310997},
  keywords = {carpool formation, HOV lanes, vehicle routing, supply optimization, combinatorial optimization}
}

@article{xiaolingling2021temporalspat,
  title    = {{Temporal-spatial allocation of bottleneck capacity for managing morning commute with carpool}},
  author   = {Xiao Ling-Ling and  Liu Tian-Liang and  Huang Hai-Jun and  Liu Ronghui},
  year     = {2021},
  journal  = {Transportation Research Part B: Methodological},
  doi      = {10.1016/j.trb.2020.11.007},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0191261520304379},
  keywords = {bottleneck capacity, morning commute, carpool lane, supply-side management, road pricing}
}

@article{weibangyang2022capacity,
  title    = {{Capacity allocation and tolling-rewarding schemes for the morning commute with carpooling}},
  author   = {Wei Bangyang and  Zhang Xiang and  Liu Wei and  Saberi Meead and  Waller S. Travis},
  year     = {2022},
  journal  = {Transportation Research Part C: Emerging Technologies},
  doi      = {10.1016/j.trc.2022.103789},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0968090X22002169},
  keywords = {capacity allocation, tolling, rewarding schemes, morning commute, carpooling supply}
}

@article{cohenmaximec2022impact,
  title    = {{The impact of high-occupancy vehicle lanes on carpooling}},
  author   = {Cohen Maxime C. and  Jacquillat Alexandre and  Ratzon Avia and  Sasson Roy},
  year     = {2022},
  journal  = {Transportation Research Part A: Policy and Practice},
  doi      = {10.1016/j.tra.2022.08.021},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0965856422002257},
  keywords = {HOV lanes, carpooling supply, driver behavior, infrastructure policy, causal inference}
}

@article{leejungbeom2022companywide,
  title    = {{Company-Wide Carpooling for Long Distance Commuting in South Korea and Its Effects on Reducing Transportation Problems}},
  author   = {Lee Jung-Beom},
  year     = {2022},
  journal  = {KSCE Journal of Civil Engineering},
  doi      = {10.1007/s12205-022-0215-1},
  url      = {https://link.springer.com/article/10.1007/s12205-022-0215-1},
  keywords = {company carpooling, long-distance commute, supply-driven program, employer-organized, Korea}
}

@article{sijinhua2024vehicle,
  title    = {{Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach}},
  author   = {Si Jinhua and  He Fang and  Lin Xi and  Tang Xindi},
  year     = {2024},
  journal  = {Transportation Research Part E: Logistics and Transportation Review},
  doi      = {10.1016/j.tre.2024.103551},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S136655452400142X},
  keywords = {vehicle dispatching, intercity ride-pooling, hierarchical reinforcement learning, fleet management, supply-demand balance}
}

@article{kucharskirafal2024hyperpool,
  title    = {{Hyper-pool: pooling private trips into high-occupancy transit-like attractive shared rides}},
  author   = {Kucharski Rafal and  Cats Oded},
  year     = {2024},
  journal  = {npj Sustainable Mobility and Transport},
  doi      = {10.1038/s44333-024-00006-4},
  url      = {https://www.nature.com/articles/s44333-024-00006-4},
  keywords = {ride-pooling, high-occupancy, supply-driven algorithm, transit-like, offline optimization}
}

@article{keshvariniamehdi2023vehicle,
  title    = {{Vehicle Routing Problem for Urban and Grey Zones Considering Heterogeneous Fleets and Carpooling}},
  author   = {Keshvarinia Mehdi},
  year     = {2023},
  journal  = {arXiv preprint},
  url      = {https://arxiv.org/abs/2312.00905},
  keywords = {vehicle routing problem, heterogeneous fleet, carpooling, urban zones, NSGA-II}
}

@article{reymerchanmariadelcarmen2022,
  title    = {{Carpooling Systems for Commuting among Teachers: An Expert Panel Analysis of Their Barriers and Incentives}},
  author   = {Rey-Merchán María del Carmen and  López-Arquillos Antonio and  Pires Rosa Manuela},
  year     = {2022},
  journal  = {International Journal of Environmental Research and Public Health},
  doi      = {10.3390/ijerph19148533},
  url      = {https://doi.org/10.3390/ijerph19148533},
  keywords = {carpooling barriers, commuting incentives, teachers, sustainable mobility, expert panel}
}

@article{sihongyun2023influences,
  title    = {{What influences people to choose ridesharing? An overview of the literature}},
  author   = {Si Hongyun and  Shi Jiangang and  Hua Wenwen and  Cheng Long and  De Vos Jonas and  Li Wenxiang},
  year     = {2023},
  journal  = {Transport Reviews},
  doi      = {10.1080/01441647.2023.2208290},
  url      = {https://doi.org/10.1080/01441647.2023.2208290},
  keywords = {ridesharing adoption, literature review, demographic factors, psychological factors, barriers}
}

@article{salihoufawaz2024impacts,
  title    = {{The impacts of combining incentives on carpooling for commuting in the Paris region}},
  author   = {Salihou Fawaz and  Bulteau Julie and  Le Boennec Rémy and  Berrada Jaafar and  Da Costa Pascal},
  year     = {2024},
  journal  = {Journal of Environmental Planning and Management},
  doi      = {10.1080/09640568.2024.2392645},
  url      = {https://doi.org/10.1080/09640568.2024.2392645},
  keywords = {carpooling incentives, nudges, employer subsidies, Paris commuting, multinomial logit}
}

@article{luojie2024money,
  title    = {{Money is power: Carpooling stimulus with evidence from an interactive long-term laboratory experiment}},
  author   = {Luo Jie and  Chen Xiqun and  Xiao Feng and  Zheng Zuduo},
  year     = {2024},
  journal  = {Transport Policy},
  doi      = {10.1016/j.tranpol.2024.04.013},
  url      = {https://doi.org/10.1016/j.tranpol.2024.04.013},
  keywords = {financial incentives, laboratory experiment, carpooling adoption, long-term behavior, commuting}
}

@article{zhanganchi2026promoting,
  title    = {{Promoting carpooling in ride-hailing services with motivational messages in-app and defaults}},
  author   = {Zhang Anchi and  Nisa Claudia},
  year     = {2026},
  journal  = {Travel Behaviour and Society},
  doi      = {10.1016/j.tbs.2026.101275},
  url      = {https://doi.org/10.1016/j.tbs.2026.101275},
  keywords = {nudges, defaults, ride-hailing, carpooling promotion, behavioral intervention}
}

@article{shenqing2021exploring,
  title    = {{Exploring partnership between transit agency and shared mobility company: an incentive program for app-based carpooling}},
  author   = {Shen Qing and  Wang Yiyuan and  Gifford Casey},
  year     = {2021},
  journal  = {Transportation},
  doi      = {10.1007/s11116-020-10140-w},
  url      = {https://doi.org/10.1007/s11116-020-10140-w},
  keywords = {app-based carpooling, transit partnership, monetary incentive, King County Metro, VMT reduction}
}

@article{zhaochuan2026optimal,
  title    = {{The optimal government policy towards carpooling market: A differential game analysis considering carbon emission reduction}},
  author   = {Zhao Chuan and  Sun Yiran and  Ding Jiahui and  Wang Kun},
  year     = {2026},
  journal  = {Transportation Research Part A: Policy and Practice},
  doi      = {10.1016/j.tra.2025.104816},
  url      = {https://doi.org/10.1016/j.tra.2025.104816},
  keywords = {differential game, government policy, carpooling subsidy, carbon emission, e-hailing}
}

@article{mullerj2024exploring,
  title    = {{Exploring the dynamics of dynamic ride-sharing: insights from a sensitivity analysis with an agent-based simulation}},
  author   = {Müller J. and  Nassar E. and  Straub M.},
  year     = {2024},
  journal  = {Transportation (Springer)},
  doi      = {10.1007/s11116-024-10564-8},
  url      = {https://link.springer.com/article/10.1007/s11116-024-10564-8},
  keywords = {dynamic ridesharing, MATSim, agent-based simulation, sensitivity analysis, departure time flexibility}
}

@article{yaor2024ridesharing,
  title    = {{A ridesharing simulation model that considers dynamic supply-demand interactions}},
  author   = {Yao R. and  Bekhor S.},
  year     = {2024},
  journal  = {Journal of Intelligent Transportation Systems},
  doi      = {10.1080/15472450.2022.2098730},
  url      = {https://www.tandfonline.com/doi/abs/10.1080/15472450.2022.2098730},
  keywords = {ridesharing simulation, supply-demand interaction, driver acceptance, cancellation behaviour, dynamic matching}
}

@article{bastariantoff2023agentbased,
  title    = {{Agent-based models in urban transportation: review, challenges, and opportunities}},
  author   = {Bastarianto F. F. and  Hancock T. O. and  Choudhury C. F. and  Manley E.},
  year     = {2023},
  journal  = {European Transport Research Review},
  doi      = {10.1186/s12544-023-00590-5},
  url      = {https://link.springer.com/article/10.1186/s12544-023-00590-5},
  keywords = {agent-based models, urban transportation, bibliometric review, shared mobility, simulation frameworks}
}

@article{tikoudisi2021ridesharing,
  title    = {{Ridesharing services and urban transport CO2 emissions: Simulation-based evidence from 247 cities}},
  author   = {Tikoudis I. and  Martinez L. and  Farrow K. and  Bouyssou C. G. and  Petrik O. and  Oueslati W.},
  year     = {2021},
  journal  = {Transportation Research Part D: Transport and Environment},
  doi      = {10.1016/j.trd.2021.102923},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S1361920921002224},
  keywords = {ridesharing, CO2 emissions, urban simulation, mode choice, cross-city analysis}
}

@article{sunr2022assessing,
  title    = {{Assessing the impacts of ridesharing services: An agent-based simulation approach}},
  author   = {Sun R. and  Wu X. and  Chen Y.},
  year     = {2022},
  journal  = {Journal of Cleaner Production},
  doi      = {10.1016/j.jclepro.2022.134156},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S0959652622032425},
  keywords = {ridesharing, agent-based simulation, energy consumption, emissions reduction, urban transport}
}

@article{gallands2023agentbased,
  title    = {{Agent-Based Approach for (Peri-)Urban Inter-Modality Policies: Application to Real Data from the Lille Metropolis}},
  author   = {Galland S. and  Balbo F. and  Gaud N. and  Rodriguez S.},
  year     = {2023},
  journal  = {Sensors},
  doi      = {10.3390/s23052540},
  url      = {https://www.mdpi.com/1424-8220/23/5/2540},
  keywords = {agent-based model, peri-urban intermodality, modal choice, multinomial logit, Lille metropolis}
}

@article{karolemeasc2024shared,
  title    = {{Shared autonomous vehicles and agent based models: a review of methods and impacts}},
  author   = {Karolemeas C. and  Tsigdinos S. and  Moschou E. and  Kepaptsoglou K.},
  year     = {2024},
  journal  = {European Transport Research Review},
  doi      = {10.1186/s12544-024-00644-2},
  url      = {https://link.springer.com/article/10.1186/s12544-024-00644-2},
  keywords = {shared autonomous vehicles, agent-based models, review, urban mobility, MATSim}
}

@article{zhouz2026simulationbased,
  title    = {{Simulation-based assessment of operational ridesharing strategies for shared autonomous vehicles in large-scale networks}},
  author   = {Zhou Z. and  Agriestic S. and  Roncoli C.},
  year     = {2026},
  journal  = {European Transport Research Review},
  doi      = {10.1186/s12544-026-00787-4},
  url      = {https://link.springer.com/article/10.1186/s12544-026-00787-4},
  keywords = {ridesharing, shared autonomous vehicles, traffic simulation, large-scale network, Tallinn}
}

@article{chenw2024quantifying,
  title    = {{Quantifying traffic emission reductions and traffic congestion alleviation from high-capacity ride-sharing}},
  author   = {Chen W. and  Shi H. and  Ke J.},
  year     = {2024},
  journal  = {Transportmetrica B: Transport Dynamics},
  doi      = {10.1080/21680566.2024.2423235},
  url      = {https://www.tandfonline.com/doi/full/10.1080/21680566.2024.2423235},
  keywords = {high-capacity ridesharing, traffic emissions, congestion, agent-based simulation, heuristic algorithm}
}

@article{chenw2025hrsim,
  title    = {{HRSim: An agent-based simulation platform for high-capacity ride-sharing services}},
  author   = {Chen W. and  Shi H. and  Ke J.},
  year     = {2025},
  journal  = {arXiv preprint},
  url      = {https://arxiv.org/abs/2505.17758},
  keywords = {ride-sharing simulator, agent-based platform, open-source, fleet management, urban transport}
}

@article{huangh2022overview,
  title    = {{An Overview of Agent-Based Models for Transport Simulation and Analysis}},
  author   = {Huang H. and  Chang Y. and  Sun Z. and  Zhao D.},
  year     = {2022},
  journal  = {Journal of Advanced Transportation},
  doi      = {10.1155/2022/1252534},
  url      = {https://onlinelibrary.wiley.com/doi/10.1155/2022/1252534},
  keywords = {agent-based model, transport simulation, multi-agent systems, review, urban mobility}
}

@article{alisoltanin2024agentbased,
  title    = {{An agent-based simulation modeling framework for Mobility-as-a-Service (MaaS)}},
  author   = {Alisoltani N. and  Leclercq L. and  Zargayouna M.},
  year     = {2024},
  journal  = {Case Studies on Transport Policy},
  doi      = {10.1016/j.cstp.2024.101288},
  url      = {https://www.sciencedirect.com/science/article/abs/pii/S2213624X24001494},
  keywords = {MaaS, agent-based simulation, shared mobility, demand-supply balancing, fleet optimisation}
}