Evaluating the Efficiency of Bike-Sharing Stations with Data Envelopment Analysis

Author:

Caggiani LeonardoORCID,Camporeale RosaliaORCID,Hamidi Zahra,Zhao Chunli

Abstract

This paper focuses on the efficiency evaluation of bike-sharing systems (BSSs) and develops an approach based on data envelopment analysis (DEA) to support the decisions regarding the performance evaluation of BSS stations. The proposed methodology is applied and tested for the Malmöbybike BSS in Malmö, Sweden. This was done by employing spatial analyses and data about the BSS usage trends as well as taking into account transport, land use, and socioeconomic context of the case study. The results of the application demonstrate consistency with the literature and highlight meaningful associations between the station relative efficiency and the urban context. More specifically, the paper provides in-depth knowledge about the preprocessing data, selection of input and output variables, and the underlying analytical approach to be potentially applied to other cases and urban contexts. Overall, the DEA-based methodology presented in this study could assist decision-makers and planners with developing operational strategies for planning and management of BSS stations and networks.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference79 articles.

1. Discourses, Travel Behaviour and the “Last Mile” in Londonhttps://www.ingentaconnect.com/content/alex/benv/2016/00000042/00000004/art00003;jsessionid=ouwsa66uvkmd.x-ic-live-02

2. Free-Floating Bike Sharing: Solving Real-Life Large-Scale Static Rebalancing Problems-ScienceDirecthttps://www.sciencedirect.com/science/article/pii/S0968090X17300992

3. A GIS-based MCDM approach for the evaluation of bike-share stations

4. The paradox of public acceptance of bike sharing in Gothenburg

Cited by 9 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

1. Efficiency variations of integrated urban transit stations before and during the COVID-19 pandemic: Insights from a Mega-City without pandemic lockdown measures;Cities;2024-09

2. Divide-and-train: A new approach to improve the predictive tasks of bike-sharing systems;Mathematical Biosciences and Engineering;2024

3. Optimising shared electric mobility hubs: Insights from performance analysis and factors influencing riding demand;Case Studies on Transport Policy;2023-09

4. Increasing the use of public bicycles: Efficiency and demand;Economic Analysis and Policy;2022-12

5. An efficiency indicator for micromobility safety assessment;2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2022-06-28

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