What is on the Bicycle Paths? A Detailed Vehicle Taxonomy with Mode Share Data for Off-Street Paths in Metropolitan Vancouver, Canada

Author:

Hassanpour Amir1ORCID,Bigazzi Alexander12ORCID

Affiliation:

1. Department of Civil Engineering, University of British Columbia, Vancouver, British Columbia, Canada

2. School of Community and Regional Planning, University of British Columbia, Vancouver, British Columbia, Canada

Abstract

The trend of increasingly multi-modal urban transportation has accelerated with the advent of low-power vehicles such as electric-assist bicycles, scooters, and skateboards. Despite increased attention, little is known about the actual usage of these vehicles, such as their mode shares in off-street and cycling facilities. The objectives of this study are to: (1) catalog all motorized and non-motorized vehicles in use on cycling facilities in metropolitan Vancouver, Canada; (2) create a taxonomy of the vehicles using visually identifiable features; and (3) determine volumes and mode shares for each vehicle type. We develop and validate a field data collection method using pneumatic tubes synchronized with video cameras, and collect classified volume data at 12 strategically selected locations over four seasons. A total of 25,282 vehicles are classified from more than 450 h of video data, categorized into 27 types using 10 features, such as number of wheels, number of axles, and existence of a battery/motor. Conventional (non-shared) bicycles are still the dominant vehicle in use, with a mode share of 90%. Although a variety of motorized personal mobility devices are present in cycling facilities, their mode shares are still extremely small. Electric bicycles are the most common motorized vehicle, with a mean mode share of 4% (ranging from 0% to 20% by location-date). The proposed taxonomy enables consistent empirical data collection to evaluate mode share trends and patterns, and to study the impacts of regulatory changes, incentive programs, and new infrastructure.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 3 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