Author(s)

Tian Fangzhou ¹, Chen Binglang ¹, Zhang Lu ¹, Fei Ningyuan ¹

Affiliation(s)

¹ College of Architecture, Southwest Jiaotong University, Chengdu, 610000, Sichuan, China

Corresponding Author

Tian Fangzhou

ABSTRACT

In the context of the policy goal of "carbon neutrality and carbon peaking", bicycle sharing, as a low-carbon and convenient way to travel, not only effectively meets the demand of the "last mile" of urban public transportation system, but also is one of the main ways to solve the problem of urban carbon emissions. It is also one of the main ways to solve the problem of urban carbon emission. This paper takes five urban areas in the center of Chengdu as an example, and uses Mobike order data and multi-source urban open data to conduct statistical analysis and spatial distribution visualization of shared bicycle data through Python and GIS, summarizing the spatial and temporal characteristics of shared bicycle travel activities at the street scale, and providing some data reference and theoretical basis for the placement and management of shared bicycles in the streets. It is of great significance to improve the efficiency of shared bicycle travel, achieve the goal of "carbon neutrality and carbon peaking" and improve the urban public transportation system.

KEYWORDS

Bicycle Sharing, Street, Big Data, Spatial and Temporal Characteristics, Chengdu City

CITE THIS PAPER

Tian Fangzhou, Chen Binglang, Zhang Lu, Fei Ningyuan, Spatial and Temporal Characteristics of Bike-Sharing Trips at Street Scale: A Case Study of Chengdu City. Journal of Civil Engineering and Urban Planning (2022) Vol. 4: 7-16. DOI: http://dx.doi.org/10.23977/jceup.2022.040402.

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• Journal of Sustainable Development and Green Buildings
  
  
• Landscape and Urban Horticulture
  
  
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• Soil Mechanics and Geotechnical Engineering
  
  
• Journal of Municipal Engineering
  
  
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• Computer Aided Architecture Design