#8048. Exploring the nonlinear and asymmetric influences of built environment on CO2 emission of ride-hailing trips

October 2026publication date
Proposal available till 03-06-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Geography, Planning and Development;
Ecology;
Management, Monitoring, Policy and Law;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
Emerging in many cities, ride-hailing is recognized as an approach to reduce car dependence and to lower CO2 emissions. Despite a number of studies on the impact of the built environment on travel behavior, the impacts of ride-hailing on carbon emissions is largely overlooked. Using gradient boosting decision trees (GBDT) method to deal with the data from Chengdu, China, this study examines the nonlinear influence of built environment on carbon emissions of ride-hailing trips at a disaggregated level. Meanwhile, the asymmetry of this influence is explored at origin and destination in several spatiotemporal contexts.
Keywords:
Built environment; CO2 emission; Gradient boosting decision trees; Nonlinear; Ride-hailing

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