Locating new docked bike sharing stations considering demand suitability and spatial accessibility

被引:7
作者
Chen, Wendong [1 ,2 ]
Chen, Xuewu [1 ,2 ]
Cheng, Long [1 ,2 ]
Chen, Jingxu [1 ,2 ]
Tao, Sui [3 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing, Peoples R China
[2] Southeast Univ, Jiangsu Key Lab Urban ITS, Nanjing, Peoples R China
[3] Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Bike sharing; Station location; Location-allocation model; Spatial accessibility; RELATIVE IMPORTANCE; PUBLIC BICYCLE; HEALTH-CARE; SYSTEMS; EQUITY; DETERMINANTS; PERFORMANCE; REGRESSION; WALKING; INCOME;
D O I
10.1016/j.tbs.2023.100675
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In recent years, a growing number of cities worldwide have implemented docked bike sharing (DBS) systems. One of the most important features to the success of a DBS scheme is the deployment of the stations. However, prior studies on locating DBS stations have focused on travel demand while accessibility factors received limited attention. To tackle the above issue, this study proposes a three-stage framework to determine the appropriate locations for new DBS stations. Concretely, first, important factors influencing DBS usage are explored to yield a demand-based suitability map. Second, the ease of access to DBS services aggregated at demand points is assessed to generate a DBS accessibility map. Finally, combined with suitability and accessibility maps, a locationallocation model is leveraged to identify locations for building new stations to serve the most potential demand. A case study is conducted in Nanjing, China. The identification results show that ten new stations can further expand the DBS service area outward to some extent (from 80.71% to 83.87%) while meeting the high suitability and low accessibility conditions. These findings provide a useful tool for transportation planners and policymakers to take appropriate measures to achieve an equitable and profitable DBS system.
引用
收藏
页数:14
相关论文
共 81 条
[1]   Measuring spatial inequalities in the access to station-based bike-sharing in Barcelona using an Adapted Affordability Index [J].
Anaya-Boig, Esther ;
Cebollada, Angel ;
Castello Bueno, Marc .
JOURNAL OF TRANSPORT GEOGRAPHY, 2022, 98
[2]   Exploring the health and spatial equity implications of the New York City Bike share system [J].
Babagoli, Masih A. ;
Kaufman, Tanya K. ;
Noyes, Philip ;
Sheffield, Perry E. .
JOURNAL OF TRANSPORT & HEALTH, 2019, 13 :200-209
[3]   Optimal locations for bikeshare stations: A new GIS based spatial approach [J].
Banerjee, Snehanshu ;
Kabir, Md. Muhib ;
Khadem, Nashid K. ;
Chavis, Celeste .
TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2020, 4
[4]  
Batomen B., 2023, Multimodal Transp, V2, P2, DOI [10.1016/j.multra.2022.100067, DOI 10.1016/J.MULTRA.2022.100067]
[5]   Identifying locations for new bike-sharing stations in Glasgow: an analysis of spatial equity and demand factors [J].
Beairsto, Jeneva ;
Tian, Yufan ;
Zheng, Linyu ;
Zhao, Qunshan ;
Hong, Jinhyun .
ANNALS OF GIS, 2022, 28 (02) :111-126
[6]   A REVIEW OF STATISTICAL METHODS FOR DETERMINATION OF RELATIVE IMPORTANCE OF CORRELATED PREDICTORS AND IDENTIFICATION OF DRIVERS OF CONSUMER LIKING [J].
Bi, Jian .
JOURNAL OF SENSORY STUDIES, 2012, 27 (02) :87-101
[7]   OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks [J].
Boeing, Geoff .
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2017, 65 :126-139
[8]  
Buck D., 2012, 91 TRANSP RES BOARD, P703
[9]   Optimizing the location of stations in bike-sharing programs: A GIS approach [J].
Carlos Garcia-Palomares, Juan ;
Gutierrez, Javier ;
Latorre, Marta .
APPLIED GEOGRAPHY, 2012, 35 (1-2) :235-246
[10]   Bikesharing in Philadelphia: Do lower-income areas generate trips? [J].
Caspi, Or ;
Noland, Robert B. .
TRAVEL BEHAVIOUR AND SOCIETY, 2019, 16 :143-152