On the inefficiency of ride-sourcing services towards urban congestion
Published 2020 View Full Article
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Title
On the inefficiency of ride-sourcing services towards urban congestion
Authors
Keywords
Ride-sourcing, Traffic congestion, Human mobility, Public transport, Transportation
Journal
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Volume 124, Issue -, Pages 102890
Publisher
Elsevier BV
Online
2020-12-24
DOI
10.1016/j.trc.2020.102890
References
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Note: Only part of the references are listed.- Shared autonomous vehicle services: A comprehensive review
- (2020) Santhanakrishnan Narayanan et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Networks and long-range mobility in cities: A study of more than one billion taxi trips in New York City
- (2020) A. P. Riascos et al. Scientific Reports
- Scaling in the recovery of urban transportation systems from massive events
- (2020) Aleix Bassolas et al. Scientific Reports
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- (2020) Leonardo Bellocchi et al. Scientific Reports
- Modeling and managing ridesharing in a multi-modal network with an aggregate traffic representation: A doubly dynamical approach
- (2020) Bangyang Wei et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Empirical analysis of large-scale multimodal traffic with multi-sensor data
- (2020) Hui Fu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Morning commute problem with supply management considering parking and ride-sourcing
- (2019) Qida Su et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Characterization of ridesplitting based on observed data: A case study of Chengdu, China
- (2019) Wenxiang Li et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- On the supply curve of ride-hailing systems
- (2019) Zhengtian Xu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Scale-free resilience of real traffic jams
- (2019) Limiao Zhang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The electric autonomous dial-a-ride problem
- (2019) Claudia Bongiovanni et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Travel and energy implications of ridesourcing service in Austin, Texas
- (2019) Tom Wenzel et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Do transportation network companies decrease or increase congestion?
- (2019) Gregory D. Erhardt et al. Science Advances
- Ride-Sourcing modeling and pricing in non-equilibrium two-sided markets
- (2019) Mehdi Nourinejad et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Bus bunching as a synchronisation phenomenon
- (2019) Vee-Liem Saw et al. Scientific Reports
- Revealing latent characteristics of mobility networks with coarse-graining
- (2019) Homayoun Hamedmoghadam et al. Scientific Reports
- Investigating objective and subjective factors influencing the adoption, frequency, and characteristics of ride-hailing trips
- (2019) Patrícia S. Lavieri et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Understanding traffic capacity of urban networks
- (2019) Allister Loder et al. Scientific Reports
- A survey of dial-a-ride problems: Literature review and recent developments
- (2018) Sin C. Ho et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Mixed logical dynamical modeling and hybrid model predictive control of public transport operations
- (2018) Isik Ilber Sirmatel et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- An empirical study on travel patterns of internet based ride-sharing
- (2018) Yongqi Dong et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Addressing the minimum fleet problem in on-demand urban mobility
- (2018) M. M. Vazifeh et al. NATURE
- The dial-a-ride problem with electric vehicles and battery swapping stations
- (2018) Mohamed Amine Masmoudi et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Macroscopic dynamics and the collapse of urban traffic
- (2018) Luis E. Olmos et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Ride-sharing with travel time uncertainty
- (2018) Jiancheng Long et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
- (2017) Javier Alonso-Mora et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The morning commute in urban areas with heterogeneous trip lengths
- (2017) Raphaël Lamotte et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Surge pricing and labor supply in the ride-sourcing market
- (2017) Liteng Zha et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- On the use of reservation-based autonomous vehicles for demand management
- (2017) Raphaël Lamotte et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Optimal parking provision for ride-sourcing services
- (2017) Zhengtian Xu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Dynamic modeling and control of taxi services in large-scale urban networks: A macroscopic approach
- (2017) Mohsen Ramezani et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Revealing the day-to-day regularity of urban congestion patterns with 3D speed maps
- (2017) Clélia Lopez et al. Scientific Reports
- Scaling Law of Urban Ride Sharing
- (2017) R. Tachet et al. Scientific Reports
- Agent based model for dynamic ridesharing
- (2016) Mehdi Nourinejad et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Economic analysis of ride-sourcing markets
- (2016) Liteng Zha et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Making dynamic ride-sharing work: The impact of driver and rider flexibility
- (2016) Mitja Stiglic et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Understanding congested travel in urban areas
- (2016) Serdar Çolak et al. Nature Communications
- Dynamic Shared-Taxi Dispatch Algorithm with Hybrid-Simulated Annealing
- (2015) Jaeyoung Jung et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Modeling taxi services with smartphone-based e-hailing applications
- (2015) Fang He et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- An agent-based simulation model to assess the impacts of introducing a shared-taxi system: an application to Lisbon (Portugal)
- (2014) Luis M. Martinez et al. JOURNAL OF ADVANCED TRANSPORTATION
- Quantifying the benefits of vehicle pooling with shareability networks
- (2014) Paolo Santi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The shared-taxi problem: Formulation and solution methods
- (2014) Hadi Hosni et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A three-dimensional macroscopic fundamental diagram for mixed bi-modal urban networks
- (2014) Nikolas Geroliminis et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Empirical Observations of Congestion Propagation and Dynamic Partitioning with Probe Data for Large-Scale Systems
- (2014) Yuxuan Ji et al. TRANSPORTATION RESEARCH RECORD
- Ridesharing: The state-of-the-art and future directions
- (2013) Masabumi Furuhata et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Optimization for dynamic ride-sharing: A review
- (2012) Niels Agatz et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Dynamic pickup and delivery problems
- (2009) Gerardo Berbeglia et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- The pickup and delivery problem with transfers: Formulation and a branch-and-cut solution method
- (2009) Cristián E. Cortés et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings
- (2008) Nikolas Geroliminis et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
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