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Article: Booking cum rationing strategy for equitable travel demand management in road networks

TitleBooking cum rationing strategy for equitable travel demand management in road networks
Authors
KeywordsCapacity constraint
Equity
Traffic rationing
Trip booking
Issue Date1-Jul-2023
PublisherElsevier
Citation
Transportation Research Part B: Methodological, 2023, v. 167, p. 261-274 How to Cite?
Abstract

Trip booking and traffic rationing have been proposed as two alternative travel demand management (TDM) strategies over the last two decades. Through artificially restricting demand (vehicle travel) by booking or rationing the scarce road capacity during the peak periods, the negative externalities generated by travel demand over available supply or road capacity can be reduced. In many cases, the two strategies also have the main goal of reduction of air pollution. Trip booking system allows vehicles/drivers to reserve prescribed areas or some lanes/segments of freeways/roads for their use during specific time periods, thereby maintaining a certain level of service of the roadway space. It is often in the form of a permit to control the number of reservations issued. On the other hand, traffic rationing is often achieved in reality through restricting access into an urban cordoned-off area or city center based on the last digits of the license number on pre-established days and during certain periods, usually the peak hours. However, theoretical studies and practical implementation of the two strategies have been conducted separately. Taking their advantages, this paper proposes and demonstrates a novel hybrid strategy of booking cum rationing for efficient and equitable TDM. We show that the problem of interest can be simply formulated as a convenient linear programming problem in a general network. Simple examples are provided to elucidate how this hybrid strategy can achieve a traffic flow distribution pattern prescribed by the traffic planner while maintaining the fairness, efficiency, and flexibility of individual choices.


Persistent Identifierhttp://hdl.handle.net/10722/337927
ISSN
2021 Impact Factor: 7.632
2020 SCImago Journal Rankings: 3.150

 

DC FieldValueLanguage
dc.contributor.authorLi, X-
dc.contributor.authorYang, H-
dc.contributor.authorKe, J-
dc.date.accessioned2024-03-11T10:24:59Z-
dc.date.available2024-03-11T10:24:59Z-
dc.date.issued2023-07-01-
dc.identifier.citationTransportation Research Part B: Methodological, 2023, v. 167, p. 261-274-
dc.identifier.issn0191-2615-
dc.identifier.urihttp://hdl.handle.net/10722/337927-
dc.description.abstract<p>Trip booking and traffic rationing have been proposed as two alternative travel demand management (TDM) strategies over the last two decades. Through artificially restricting demand (vehicle travel) by booking or rationing the scarce road capacity during the peak periods, the negative externalities generated by travel demand over available supply or road capacity can be reduced. In many cases, the two strategies also have the main goal of reduction of air pollution. Trip booking system allows vehicles/drivers to reserve prescribed areas or some lanes/segments of freeways/roads for their use during specific time periods, thereby maintaining a certain level of service of the roadway space. It is often in the form of a permit to control the number of reservations issued. On the other hand, traffic rationing is often achieved in reality through restricting access into an urban cordoned-off area or city center based on the last digits of the license number on pre-established days and during certain periods, usually the peak hours. However, theoretical studies and practical implementation of the two strategies have been conducted separately. Taking their advantages, this paper proposes and demonstrates a novel hybrid strategy of booking cum rationing for efficient and equitable TDM. We show that the problem of interest can be simply formulated as a convenient linear programming problem in a general network. Simple examples are provided to elucidate how this hybrid strategy can achieve a traffic flow distribution pattern prescribed by the traffic planner while maintaining the fairness, efficiency, and flexibility of individual choices.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofTransportation Research Part B: Methodological-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCapacity constraint-
dc.subjectEquity-
dc.subjectTraffic rationing-
dc.subjectTrip booking-
dc.titleBooking cum rationing strategy for equitable travel demand management in road networks-
dc.typeArticle-
dc.identifier.doi10.1016/j.trb.2022.12.004-
dc.identifier.scopuseid_2-s2.0-85144591763-
dc.identifier.volume167-
dc.identifier.spage261-
dc.identifier.epage274-
dc.identifier.eissn1879-2367-
dc.identifier.issnl0191-2615-

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