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Figure/Table detail

Measuring the potential substitution effect of ride-hailing travel on public transport and its influencing factors: A case study of Chengdu
ZHENG Zhicheng, ZHANG Lijun, QIN Yaochen, RONG Peijun, LI Yang, ZHANG Jingfei
Acta Geographica Sinica, 2025, 80(2): 503-522.   DOI: 10.11821/dlxb202502015

Fig. 5 Four-layer structure of potential substitution effect between ride-hailing and public transport
Other figure/table from this article
  • Fig. 1 Research and analysis framework
  • Fig. 2 Location of the study area
  • Fig. 3 Ride-hailing data sample
  • Tab. 1 Descriptive statistics of trip cost comparison between ride-hailing and public transport for the same trip
  • Fig. 4 Construction and measurement of urban built environment indicators based on the Web big data platform
  • Tab. 2 Built environment indicators
  • Tab. 3 POIs categories and open hours
  • Fig. 6 Trip cost comparison in Chengdu
  • Fig. 7 Threshold sensitivity analysis
  • Fig. 8 Spatial distribution of substitution rates for full time sequence in Chengdu
  • Fig. 9 Spatio-temporal characteristics of substitution rates
  • Tab. 4 Performance of random forest regression model in various time contexts
  • Fig. 10 Importance ranking and action direction of influencing factors
  • Fig. 11 Nonlinear effects of key factors on substitution rates (top 6 in full-time sequence)
  • Fig. 12 Impact of key factors and interaction effects on substitution rates (top 15 for each time period)

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