Investigating Spatial Interdependence in E-Bike Choice Using Spatially Autoregressive Model

  • Chengcheng Xu Southeast University
  • Chen Wang Southeast University
  • Wei Wang Southeast University
  • Jie Bao Southeast University
  • Menglin Yang Southeast University
DOI: https://doi.org/10.7307/ptt.v29i4.2144
Keywords: e-bike, spatial autocorrelation, spatially autoregressive regression, random-parameter regression, survey data,

Abstract

Increased attention has been given to promoting e-bike usage in recent years. However, the research gap still exists in understanding the effects of spatial interdependence on e-bike choice. This study investigated how spatial interdependence affected the e-bike choice. The Moran’s I statistic test showed that spatial interdependence exists in e-bike choice at aggregated level. Bayesian spatial autoregressive logistic analyses were then used to investigate the spatial interdependence at individual level. Separate models were developed for commuting and non-commuting trips. The factors affecting e-bike choice are different between commuting and non-commuting trips. Spatial interdependence exists at both origin and destination sides of commuting and non-commuting trips. Travellers are more likely to choose e-bikes if their neighbours at the trip origin and destination also travel by e-bikes. And the magnitude of this spatial interdependence is different across various traffic analysis zones. The results suggest that, without considering spatial interdependence, the traditional methods may have biased estimation results and make systematic forecasting errors.

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Chengcheng Xu, Southeast University

Chengcheng Xu is an Assistant Professor at the school of transportation in the Southeast University. Dr. Xu's research interests are transportation planning, traffic safety and intelligent transportation systems.

Chen Wang, Southeast University

Dr. Wang is an Associate Professor at the school of transportation in the Southeast University. Dr. Wang's research interests are traffic safety and intelligent transportation systems.

Wei Wang, Southeast University

Dr. Wang is currently a Professor with the Key Laboratory of Traffic Planning and Management, School of Transportation, Southeast University, Nanjing, China. His research interests are urban transportation and intelligent transportation systems. He is a member of the model traffic technology panel of the National High-tech R&D Program of China (863 Program) and a member of the panel of the National Natural Science Foundation of China. He was the recipient of National Distinguished Teacher Award of China in 2007.

Jie Bao, Southeast University
Mr. Bao is currently working toward the Ph.D. degree with the Key Laboratory of Traffic Planning and Management, School of Transportation, Southeast University, Nanjing, China.
Menglin Yang, Southeast University
Menglin Yang is currently working toward the Ph.D. degree with the Key Laboratory of Traffic Planning and Management, School of Transportation, Southeast University, Nanjing, China.

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Published
2017-08-28
How to Cite
1.
Xu C, Wang C, Wang W, Bao J, Yang M. Investigating Spatial Interdependence in E-Bike Choice Using Spatially Autoregressive Model. Promet [Internet]. 2017Aug.28 [cited 2024Dec.22];29(4):351-62. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/2144
Issue
Vol 29 No 4 (2017)
Section
Articles

Copyright (c) 2017 Chengcheng Xu, Chen Wang, Wei Wang, Jie Bao, Menglin Yang

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