Electric fence planning for dockless bike-sharing services

JOURNAL OF CLEANER PRODUCTION

卷:206

Article

Zhang, Yongping^1,2,3  Lin, Diao⁴  Mi, Zhifu⁵ 

[1] Nankai Univ, Zhou Enlai Sch Govt, Tianjin 300350, Peoples R China

[2] UCL, Bartlett Ctr Adv Spatial Anal, 90 Tottenham Court Rd, London W1T 4TJ, England

[3] Nankai Univ, Expt Teaching Ctr Appl Social Sci, Tianjin 300350, Peoples R China

[4] Tech Univ Munich, Chair Cartog, Arcisstr 21, D-80333 Munich, Germany

[5] UCL, Bartlett Sch Construct & Project Management, London WC1E 7HB, England

关键词: Dockless bike-sharing;    Electric fences;    Location allocation model;    Big data;    Shanghai;   

DOI  :  10.1016/j.jclepro.2018.09.215

来源: Elsevier

【 摘 要 】

A new generation of bike-sharing services is emerging in China. With this service, bikes can be unlocked and paid by using a smartphone and then picked up and left anywhere at users' convenience. The unprecedented development of dockless bike-sharing services results in considerable socioeconomic and environmental benefits but also creates new urban issues. One of the most severe issues is users' inappropriate parking behaviour. To solve this problem, electric fence (or geo-fence) policy and technology have been introduced in China to guide users to park bikes in designated zones. In this paper, we first propose a methodological framework to support electric fence planning for dockless bike-sharing services. We then apply our framework in a case study of Shanghai using a big dataset of bike trips. Results show that when the number of planned electric fences is 7,500, our electric fence plan can cover 91.8% of total parking demand. In addition, our plan can ensure that at least 95.8% of all bikes can be docked at one of planned electric fences and can help efficiently and accurately determine suitable locations for setting up planned electric fences.(C) 2018 Elsevier Ltd. All rights reserved.

【 授权许可】

Free