Should Optimal Stop Spacing Vary by Land Use Type?: New Methodology

Author:

Chen Jingxu12,Currie Graham2,Wang Wei1,Liu Zhiyuan1,Li Zhibin3

Affiliation:

1. Jiangsu Key Laboratory of Urban Intelligent Transportation Systems, Southeast University, Si Pai Lou No. 2, Nanjing 210096, China

2. Public Transport Research Group, Institute of Transport Studies, Department of Civil Engineering, Monash University, Building 60, Clayton, Victoria 3800, Australia

3. Department of Civil and Environmental Engineering, College of Engineering, University of Washington, 201 More Hall, Box 352700, Seattle, WA 98195-2700

Abstract

This study aimed to establish whether optimal stop spacing should vary by land use type. A new stop clustering method was proposed with stops divided into catchments on the basis of land use. A bilevel optimization model was then used to suggest optimal stop spacing for these catchments. The upper-level problem minimized a cost function that represented the perspectives of the passengers, the operators, and the local authority, and the lower-level problem was the transit assignment problem. Results show that stop spacing in the catchments with residential usage is generally larger than in those catchments with nonresidential or mixed land use. Near-optimal solutions were proposed to accommodate local considerations of stop placement. The spacing interval created by near-optimal solutions could be used to adjust existing stop placement. A case study of Tram Route 109 in Melbourne, Australia, revealed that the practical implication of the proposed analytical approach indeed improved the practical operations of the tram service. In future studies, the model could be extended to a network of tram routes. Overall, the results suggest that optimal stop spacing on public transport should be a function of land use type.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference35 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3