Examining Complex Impacts of E-shopping and Built Environment Factors on Shopping VMT

被引:0
作者
Sohi, Manreet [1 ]
Loa, Patrick [1 ]
Ozbilen, Basar [1 ]
Iogansen, Xiatian [1 ]
Lee, Yongsung [1 ]
Circella, Giovanni [1 ,2 ]
机构
[1] Univ Calif Davis, Inst Transportat Studies, 1605 Tilia St, Davis, CA 95616 USA
[2] Univ Ghent, Dept Geog, Bldg S8,Krijgslaan 281, B-9000 Ghent, Belgium
关键词
Online shopping; E; -commerce; Vehicle miles traveled (VMT); Built environment; Sustainable transportation; Machine learning; VEHICLE; TRAVEL;
D O I
10.1016/j.trd.2024.104567
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The pandemic increased the prevalence of online shopping, prompting greater interest in its post- pandemic impacts. While current research often examines how online shopping replaces shopping trips, it rarely directly addresses its impact on vehicle miles traveled (VMT). This study explores how online shopping frequency affects VMT for shopping trips using data from fall 2023. By employing a Light Gradient Boosting model we predict shopping VMT and identify key factors influencing it using SHapley Additive exPlanations (SHAP) values. Our analysis distinguishes between the impacts of online shopping for food and non-food items. The findings elucidate the impacts of online shopping and other key determinants on post-pandemic shopping VMT. These insights will inform planning and policy efforts to manage the environmental impacts of online shopping, balancing reduced passenger VMT with potential delivery VMT increases. This research lays the foundation for future studies on transportation sustainability, aiding policymakers in creating sustainable systems.
引用
收藏
页数:17
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