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中南大学学报(英文版)

Journal of Central South University

Vol. 28    No. 6    June 2021

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Estimating model for urban carrying capacity on bike-sharing
YU Jia-jie(余佳洁)1, JI Yan-jie(季彦婕)1, 2, YI Chen-yu(易陈钰)3, LIU Yang(刘阳) 4

1. School of Transportation, Southeast University, Nanjing 211189, China;
2. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of
Modern Urban Traffic Technologies, Nanjing 211189, China;
3. Shenzhen Urban Transport Planning Center Co. Ltd., Shenzhen 518057, China;
4. Faculty of Transportation Engineering, Kunming University of Science and Technology,
Kunming 650051, China

Abstract:As the demand for bike-sharing has been increasing, the oversupply problem of bike-sharing has occurred, which leads to the waste of resources and disturbance of the urban environment. In order to regulate the supply volume of bike-sharing reasonably, an estimating model was proposed to quantify the urban carrying capacity (UCC) for bike-sharing through the demand data. In this way, the maximum supply volume of bike-sharing that a city can accommodate can be obtained. The UCC on bike-sharing is reflected in the road network carrying capacity (RNCC) and parking facilities’ carrying capacity (PFCC). The space-time consumption method and density-based spatial clustering of application with noise (DBSCAN) algorithm were used to explore the RNCC and PFCC for bike-sharing. Combined with the users’ demand, the urban load ratio on bike-sharing can be evaluated to judge whether the UCC can meet users’ demand, so that the supply volume of bike-sharing and distribution of the related facilities can be adjusted accordingly. The application of the model was carried out by estimating the UCC and load ratio of each traffic analysis zone in Nanjing, China. Compared with the field survey data, the effect of the proposed algorithm was verified.

 

Key words: bike-sharing; urban carrying capacity; space-time consumption method; density-based spatial clustering of application with noise (DBSCAN) algorithm

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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