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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. 2
Location of the study area
Other figure/table from this article
Fig. 1
Research and analysis framework
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. 5
Four-layer structure of potential substitution effect between ride-hailing and public transport
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)