Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China

Tian Li, Peng Jing, Linchao Li, Dazhi Sun and Wenbo Yan
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Tian Li: School of Automotive and Traffic Engineering, Jiangsu University, Jiangsu 212013, China
Peng Jing: School of Automotive and Traffic Engineering, Jiangsu University, Jiangsu 212013, China
Linchao Li: School of Transportation, Southeast University, Nanjing 210096, China
Dazhi Sun: School of Automotive and Traffic Engineering, Jiangsu University, Jiangsu 212013, China
Wenbo Yan: School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 264209, China

Sustainability, 2019, vol. 11, issue 5, 1-17

Abstract: Online car-hailing travel is an increasingly popular mode of urban transport. A fundamental understanding of the relationship between the urban built environment and online car-hailing travel is essential for developing the corresponding traffic strategy and addressing sustainable urban planning and design. However, the varying impact of the urban built environment on online car-hailing travel in the spatial dimension has not been sufficiently investigated. This paper aims to fill this gap by using geographically weighted regression (GWR) to check the spatial heterogeneity of the likely influence. The result shows that the GWR model is superior to the global model (OLS) from the perspective of goodness of fit. The study finds that the recreation and entertainment Point of Interest (POI) and the residential district POI are the most influential factors on night online car-hailing travel. Land-use mix is found to have a positive effect on online car-hailing travel, and online car-hailing services can be a complementary mode for public transport, especially in suburban areas.

Keywords: urban built environment; online car-hailing travel; geographical weighted regression; POI (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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