{"title":"How to improve PHEV electric mileage ratios? Factor decomposition with Explainable AI","authors":"Hayato Goto , Tomoki Nishi , Takahiro Shiga , Takeyuki Sasai , Shintaro Fukushima","doi":"10.1016/j.trd.2025.104876","DOIUrl":null,"url":null,"abstract":"<div><div>Plug-in hybrid electric vehicles (PHEVs) are yet another practical solution for reducing <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions, although the effect depends on the electric mileage ratio (EMR). This study explored the relationship between EMRs and charging habits, traffic conditions, driver disposition, socioeconomic attributes, and area characteristics using an Explainable Boosting Machine (EBM). Utilizing an extensive dataset from Japan, the fifth-largest <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> emitter worldwide, the EBM offers higher prediction accuracy and clearer interpretations than traditional methods. This approach allowed us to conduct a comprehensive analysis, thereby filling an important gap in the literature. Charging habits and driver disposition had a greater impact on the EMR compared with other factors. Encouraging home charging could be more effective in improving the EMR than developing public charging stations by promoting policies based on the learned EBM. Our results provide useful information for developing policies to improve the on-road <span><math><msub><mrow><mi>CO</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> emission reduction benefits of PHEVs.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104876"},"PeriodicalIF":7.3000,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S136192092500286X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Plug-in hybrid electric vehicles (PHEVs) are yet another practical solution for reducing emissions, although the effect depends on the electric mileage ratio (EMR). This study explored the relationship between EMRs and charging habits, traffic conditions, driver disposition, socioeconomic attributes, and area characteristics using an Explainable Boosting Machine (EBM). Utilizing an extensive dataset from Japan, the fifth-largest emitter worldwide, the EBM offers higher prediction accuracy and clearer interpretations than traditional methods. This approach allowed us to conduct a comprehensive analysis, thereby filling an important gap in the literature. Charging habits and driver disposition had a greater impact on the EMR compared with other factors. Encouraging home charging could be more effective in improving the EMR than developing public charging stations by promoting policies based on the learned EBM. Our results provide useful information for developing policies to improve the on-road emission reduction benefits of PHEVs.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.