Optimizing transit service headways and planning activity location with carbon credit charge scheme: An activity-based approach

Document Type

Journal Article

Publication Date

2025

Subject Area

technology - emissions, ridership - mode choice, ridership - behaviour, ridership - modelling, policy - environment, policy - equity, economics - value of time, planning - environmental impact, planning - methods, planning - network design, land use - planning

Keywords

Carbon emissions, travel choice behavior, carbon credit charge

Abstract

In the transportation system, carbon emissions are generated as a result of individuals’ activity and travel choices. The simultaneous planning of transport networks (e.g., optimizing transit services) and land use (e.g., planning activity locations), along with the implementation of environmental policies, collectively influence individuals’ activity and travel choices, thereby impacting carbon emissions. This paper presents a carbon credit charge scheme without initial credit allocations. Under this scheme, travelers are required to pay credits for emitting carbon dioxide and other greenhouse gases based on their chosen mode of transport, travel route, and departure time. We develop a bi-level programming model to capture the interaction between transit service headways, activity location plan, credit price, and their effects on individuals’ activity and travel choice behaviors. In the upper-level model, we optimize transit service headways and activity locations as well as credit price to attain green mobility and equity goals. In the lower-level model, we account for travelers’ heterogeneity in value of time and propose a comprehensive framework to schedule their activity and travel choice behaviors within a multi-modal transport network using a time-dependent activity-based approach. With our proposed model, we comprehensively analyze the activity-travel choice behaviors of heterogeneous travelers and resulting carbon emissions. The application of our proposed model is demonstrated using the Nyguen-Dupuis network. Numerical results show that our proposed model effectively enhances transport management by modeling individuals’ activity-travel choice behavior under the new transport policy.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part A Home Page:

http://www.sciencedirect.com/science/journal/09658564

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