Case Studies
Oct 25, 2021

Bilevel Programming Model for Park-and-Ride Versus Transit-Oriented Development: A Case Study of Chengdu City, China

Publication: Journal of Urban Planning and Development
Volume 148, Issue 1

Abstract

Park-and-ride (P&R) and transit-oriented development (TOD) are two major strategies to leverage the high capacity of rail transit systems in urban areas. Both rooted in the station-area land, the two strategies must be reconciled in an integrated planning framework. To this end, a bilevel programming model is proposed to tackle the competitive location issue of P&R and TOD near rail transit stations: the upper level is a 0–1 programming model, simulating governmental land-use decision-making behavior with the objective of maximizing metro patronage and minimizing vehicle kilometers traveled, or minimizing vehicle hours of delay; and the lower level is the multimodal network equilibrium model, simulating travelers’ responses and assigning traffic and passenger flows in the network. The traffic analysis zones containing rail stations are divided into transit station areas and auto-oriented zones. The household residential relocation model, accessibility quantitative model, and generation-distribution joint model are used to describe the complex interactions between transit system and land-use development near rail stations. A hypothetical scenario is designed to quantitatively analyze the impacts of different station-based land-use decisions and parameters of population and employment densities. A real case study is presented to illustrate the implementation of the proposed model.

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Acknowledgments

This study was funded by the Science and Technology Planning Project of Sichuan Science and Technology Department (No. 2020YJ0255), China Scholarship Council (No. 201807000044), Sichuan Innovation and Entrepreneurship Training Program for College Students (No. 2020092), the National Natural Science Foundation of China (No. 51608455), and Sichuan Provincial Science & Technology Innovation Cooperation Funds (No. 2020YFH0038). Helpful comments from the editor and two anonymous reviewers are greatly appreciated.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 148Issue 1March 2022

History

Received: Dec 18, 2020
Accepted: Aug 6, 2021
Published online: Oct 25, 2021
Published in print: Mar 1, 2022
Discussion open until: Mar 25, 2022

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Ph.D. Candidate, National United Engineering Laboratory of Integrated and Intelligent Transportation, Key Laboratory of Big Data Application Technologies for Comprehensive Transport, School of Transportation and Logistics, Southwest Jiaotong Univ., 999 Xi’an Rd., Chengdu 611756, China. Email: [email protected]
Xia Luo, Ph.D. [email protected]
Professor, National United Engineering Laboratory of Integrated and Intelligent Transportation, Key Laboratory of Big Data Application Technologies for Comprehensive Transport, School of Transportation and Logistics, Southwest Jiaotong Univ., 999 Xi’an Rd., Chengdu 611756, China. Email: [email protected]
Ph.D. Candidate, National United Engineering Laboratory of Integrated and Intelligent Transportation, Key Laboratory of Big Data Application Technologies for Comprehensive Transport, School of Transportation and Logistics, Southwest Jiaotong Univ., 999 Xi’an Rd., Chengdu 611756, China. ORCID: https://orcid.org/0000-0001-7509-576X. Email: [email protected]
Yuansen Qiu [email protected]
National United Engineering Laboratory of Integrated and Intelligent Transportation, Key Laboratory of Big Data Application Technologies for Comprehensive Transport, School of Transportation and Logistics, Southwest Jiaotong Univ., 999 Xi’an Rd., Chengdu 611756, China. Email: [email protected]
Wenbo Fan, Ph.D. [email protected]
Associate Professor, School of Transportation and Logistics, Southwest Jiaotong Univ., 999 Xi’an Rd., Chengdu 611756, China (corresponding author). Email: [email protected]

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  • Land Premium Effects of Urban Rail Transit and the Associated Policy Insights for TOD: A Case of Ningbo, China, Urban Rail Transit, 10.1007/s40864-022-00180-z, 8, 3-4, (157-166), (2022).

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