{"title":"电动汽车类型选择模型:潜在类别建模方法","authors":"Hasan Shahrier, Muhammad Ahsanul Habib","doi":"10.1016/j.ijtst.2024.08.004","DOIUrl":null,"url":null,"abstract":"<div><div>This study develops a flexible latent class model (LCM) to investigate the electric vehicle (EV) type choice decisions of Halifax residents. It utilizes cross-sectional data from the 2022 Halifax Travel Activity (HaliTRAC) survey, which includes questions related to EV adoption. This study also analyzes eight attitudes and lifestyle preferences related statements using the principal component analysis (PCA) technique, and finally extracts three components labeled as “EV enthusiasts”, “sustainable travellers”, and “remote work arrangement admirers”. This paper explores the heterogeneity between two classes for different alternative vehicle type choices, e.g., battery electric vehicle (BEV), plug-in hybrid electric vehicle (PHEV), hybrid electric vehicle (HEV), and regular internal combustion engine (ICE) vehicle. Based on class membership attributes, class-1 can be identified as those who live in suburban areas, have a large family with high vehicle ownership, and are interested in travelling with their family members, especially with their children and vice-versa for class-2. Results suggest that variables across two classes portray heterogeneity, e.g., full-time worker portray positive correlation for class-1 and negative to class-2; high annual household income group (more than $200 000) exhibit high propensity to choose BEV in class-2 and vice-versa for class-1. Sustainable travelers emphasize the adverse connection towards regular vehicles, while EV enthusiasts demonstrate a favorable association with embracing any type of EV (e.g., BEV, PHEV, or HEV). Furthermore, the findings from this analysis provide guidance for policy measures such as offering purchase incentives, expanding charging infrastructure, and implementing tax rebates to promote the uptake of EVs among the residents of Halifax.</div></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"18 ","pages":"Pages 315-329"},"PeriodicalIF":4.8000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electric vehicle (EV) type choice model: Latent class modelling approach\",\"authors\":\"Hasan Shahrier, Muhammad Ahsanul Habib\",\"doi\":\"10.1016/j.ijtst.2024.08.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study develops a flexible latent class model (LCM) to investigate the electric vehicle (EV) type choice decisions of Halifax residents. It utilizes cross-sectional data from the 2022 Halifax Travel Activity (HaliTRAC) survey, which includes questions related to EV adoption. This study also analyzes eight attitudes and lifestyle preferences related statements using the principal component analysis (PCA) technique, and finally extracts three components labeled as “EV enthusiasts”, “sustainable travellers”, and “remote work arrangement admirers”. This paper explores the heterogeneity between two classes for different alternative vehicle type choices, e.g., battery electric vehicle (BEV), plug-in hybrid electric vehicle (PHEV), hybrid electric vehicle (HEV), and regular internal combustion engine (ICE) vehicle. Based on class membership attributes, class-1 can be identified as those who live in suburban areas, have a large family with high vehicle ownership, and are interested in travelling with their family members, especially with their children and vice-versa for class-2. Results suggest that variables across two classes portray heterogeneity, e.g., full-time worker portray positive correlation for class-1 and negative to class-2; high annual household income group (more than $200 000) exhibit high propensity to choose BEV in class-2 and vice-versa for class-1. Sustainable travelers emphasize the adverse connection towards regular vehicles, while EV enthusiasts demonstrate a favorable association with embracing any type of EV (e.g., BEV, PHEV, or HEV). Furthermore, the findings from this analysis provide guidance for policy measures such as offering purchase incentives, expanding charging infrastructure, and implementing tax rebates to promote the uptake of EVs among the residents of Halifax.</div></div>\",\"PeriodicalId\":52282,\"journal\":{\"name\":\"International Journal of Transportation Science and Technology\",\"volume\":\"18 \",\"pages\":\"Pages 315-329\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Transportation Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2046043024000984\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Transportation Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2046043024000984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
Electric vehicle (EV) type choice model: Latent class modelling approach
This study develops a flexible latent class model (LCM) to investigate the electric vehicle (EV) type choice decisions of Halifax residents. It utilizes cross-sectional data from the 2022 Halifax Travel Activity (HaliTRAC) survey, which includes questions related to EV adoption. This study also analyzes eight attitudes and lifestyle preferences related statements using the principal component analysis (PCA) technique, and finally extracts three components labeled as “EV enthusiasts”, “sustainable travellers”, and “remote work arrangement admirers”. This paper explores the heterogeneity between two classes for different alternative vehicle type choices, e.g., battery electric vehicle (BEV), plug-in hybrid electric vehicle (PHEV), hybrid electric vehicle (HEV), and regular internal combustion engine (ICE) vehicle. Based on class membership attributes, class-1 can be identified as those who live in suburban areas, have a large family with high vehicle ownership, and are interested in travelling with their family members, especially with their children and vice-versa for class-2. Results suggest that variables across two classes portray heterogeneity, e.g., full-time worker portray positive correlation for class-1 and negative to class-2; high annual household income group (more than $200 000) exhibit high propensity to choose BEV in class-2 and vice-versa for class-1. Sustainable travelers emphasize the adverse connection towards regular vehicles, while EV enthusiasts demonstrate a favorable association with embracing any type of EV (e.g., BEV, PHEV, or HEV). Furthermore, the findings from this analysis provide guidance for policy measures such as offering purchase incentives, expanding charging infrastructure, and implementing tax rebates to promote the uptake of EVs among the residents of Halifax.