271
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Optimization of traffic demand management policy in China: towards a sustainable mode split

, ORCID Icon &
Pages 198-210 | Received 21 Apr 2016, Accepted 19 Jul 2017, Published online: 27 Nov 2017
 

ABSTRACT

The rapid increase in private car use in large metropolitan areas has led to irrational travel mode splits and severe traffic problems. Traffic demand management (TDM) is an effective policy to achieve a more sustainable development of traffic systems. This study analyzes the relationships between TDM policy, mode split, and travel mode choice using Stackelberg game theory. Then, using 0–1 programming, it establishes a combination of TDM policy instruments that can achieve a more sustainable mode split in a city and provides a case study in China. The method presented in this research has strong theoretical implications for TDM policymakers.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The authors thank the National High Technology Research and Development Program (‘863’ Program) of China (2014AA110304) for supporting this research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 823.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.