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Sustainability
Volume 11
Issue 5
10.3390/su11051336
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Article

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

by
Tian Li
1,2,
Peng Jing
1,
Linchao Li
3,
Dazhi Sun
1,2,* and
Wenbo Yan
2
1
School of Automotive and Traffic Engineering, Jiangsu University, Jiangsu 212013, China
2
School of Transportation and Logistics Engineering, Shandong Jiaotong University, Jinan 264209, China
3
School of Transportation, Southeast University, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(5), 1336; https://doi.org/10.3390/su11051336
Submission received: 21 January 2019 / Revised: 16 February 2019 / Accepted: 23 February 2019 / Published: 4 March 2019
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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 urban built environment; online car-hailing travel; geographical weighted regression; POI

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MDPI and ACS Style

Li, T.; Jing, P.; Li, L.; Sun, D.; Yan, W. Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China. Sustainability 2019, 11, 1336. https://doi.org/10.3390/su11051336

AMA Style

Li T, Jing P, Li L, Sun D, Yan W. Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China. Sustainability. 2019; 11(5):1336. https://doi.org/10.3390/su11051336

Chicago/Turabian Style

Li, Tian, Peng Jing, Linchao Li, Dazhi Sun, and Wenbo Yan. 2019. "Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China" Sustainability 11, no. 5: 1336. https://doi.org/10.3390/su11051336

APA Style

Li, T., Jing, P., Li, L., Sun, D., & Yan, W. (2019). Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China. Sustainability, 11(5), 1336. https://doi.org/10.3390/su11051336

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