{"title":"Toward resilient logistics electrification: Assessing diesel-to-electric fleet transition under variable temperatures","authors":"Hanieh Rastegar Moghaddam, Amir Shafiee, Jane Lin","doi":"10.1016/j.trd.2025.104971","DOIUrl":null,"url":null,"abstract":"<div><div>Electric trucks (ETs) face operational challenges due to limited range, sparse charging infrastructure, and temperature-sensitive energy consumption. To assess these vulnerabilities, we formulate a Pickup and Delivery Mixed-Fleet Vehicle Routing Problem (PDMFVRP) that incorporates constraints for both ETs and diesel trucks (DTs), including partial charging and temperature-dependent energy use. An Adaptive Large Neighborhood Search (ALNS) algorithm solves the model on Walmart’s Illinois store network. The electric-to-diesel truck (ET-to-DT) replacement ratio ranges between 1.1 to 1.7 under different temperature conditions, with up to 77% increase in vehicle miles traveled (VMT). Enhancing battery capacity, charging rate, and station density can reduce ET fleet size and VMT by up to 10%–30% and 9%–58%, respectively. This study contributes a mixed-fleet routing formulation, an efficient solution approach for large-scale applications, a metric to quantify electrification impacts, and a resilience-focused scenario analysis to inform infrastructure planning, fleet composition, and policy strategies for sustainable logistics.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"148 ","pages":"Article 104971"},"PeriodicalIF":7.7000,"publicationDate":"2025-09-07","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/S1361920925003815","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
Electric trucks (ETs) face operational challenges due to limited range, sparse charging infrastructure, and temperature-sensitive energy consumption. To assess these vulnerabilities, we formulate a Pickup and Delivery Mixed-Fleet Vehicle Routing Problem (PDMFVRP) that incorporates constraints for both ETs and diesel trucks (DTs), including partial charging and temperature-dependent energy use. An Adaptive Large Neighborhood Search (ALNS) algorithm solves the model on Walmart’s Illinois store network. The electric-to-diesel truck (ET-to-DT) replacement ratio ranges between 1.1 to 1.7 under different temperature conditions, with up to 77% increase in vehicle miles traveled (VMT). Enhancing battery capacity, charging rate, and station density can reduce ET fleet size and VMT by up to 10%–30% and 9%–58%, respectively. This study contributes a mixed-fleet routing formulation, an efficient solution approach for large-scale applications, a metric to quantify electrification impacts, and a resilience-focused scenario analysis to inform infrastructure planning, fleet composition, and policy strategies for sustainable logistics.
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.