Differences in Travel Behavior and Demand Potential of Tram-and Bus-Based Neighborhoods

Author:

Scherer Milena1,Weidmann Ulrich1

Affiliation:

1. Institute for Transport Planning and Systems, ETH Zurich, HIL F 13.3, Wolfgang-Pauli-Strasse 15, CH-8093 Zurich, Switzerland.

Abstract

One of the most contentious issues in public transport planning is whether passengers react differently to rail-based public transport and to bus-based public transport. A key problem is the difficulty in comparing the two modes. Specifically, rail-based modes are often built in higher-density environments that have higher latent public transport demand. Bus routes rarely offer the same service qualities (travel speed, service frequency) as rail service does. An approach that uses cluster analysis of public transport services as a basis for further comparison can account for these evaluated methodological shortcomings. This approach provides the opportunity to compare bus and rail under similar conditions. The authors describe the cluster analysis in which bus and rail transport in Zurich and Berne, Switzerland, were compared. The research considered several public transport qualities regarding travel time, frequency, and number of lines between bus and tram service to a particular stop. Where equivalent service qualities were provided, no significant higher effect existed in tram-based clusters compared with bus-based clusters. Nevertheless, demand potential (defined as numbers of residents and jobs) differed between clusters.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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