{"title":"考虑到内燃机汽车和电动汽车之间的差异,影响家庭 VMT 的因素","authors":"Kihyun Kwon","doi":"10.1002/tjo3.12007","DOIUrl":null,"url":null,"abstract":"This study examines factors affecting household vehicle miles traveled (VMT) with a focus on the differences between electric vehicles (EVs) and conventional internal combustion engine vehicles (ICEVs). This study mainly utilizes detailed individual‐level data from the 2017 National Household Travel Survey‐California Add‐on (2017 NHTS‐CA). We first classify households into three groups such as (1) households with only ICEVs, (2) households with only EVs, and (3) households with both ICEVs and EVs. We then employ ordinary least square regression models to analyze the determinants of household VMT across three groups. Second, we focus on households with both ICEVs and EVs to look at the substitute patterns between ICEVs and EVs. We employ a fractional logit model to analyze the factors affecting the share of EVs' VMT in total household VMT. Key findings are as follows. First, households with only EVs tend to have lower household VMT than others. Second, available charging stations near residential locations lead to longer households VMT in households with only EVs. Third, employment density has different effects on household VMT by groups. For instance, high employment density leads to shorter household VMT in households with only ICEVs and with both ICEVs and EVs. On the other hand, high employment density reveals a statistically positive effect on household VMT in households with only EVs. Lastly, in households with both ICEVs and EVs, the share of EVs' VMT is likely to increase in total household VMT if EVs are used more for work trips and shopping/family errands.","PeriodicalId":46529,"journal":{"name":"Transportation Journal","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors influencing household VMT considering differences between ICE and electric vehicles\",\"authors\":\"Kihyun Kwon\",\"doi\":\"10.1002/tjo3.12007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines factors affecting household vehicle miles traveled (VMT) with a focus on the differences between electric vehicles (EVs) and conventional internal combustion engine vehicles (ICEVs). This study mainly utilizes detailed individual‐level data from the 2017 National Household Travel Survey‐California Add‐on (2017 NHTS‐CA). We first classify households into three groups such as (1) households with only ICEVs, (2) households with only EVs, and (3) households with both ICEVs and EVs. We then employ ordinary least square regression models to analyze the determinants of household VMT across three groups. Second, we focus on households with both ICEVs and EVs to look at the substitute patterns between ICEVs and EVs. We employ a fractional logit model to analyze the factors affecting the share of EVs' VMT in total household VMT. Key findings are as follows. First, households with only EVs tend to have lower household VMT than others. Second, available charging stations near residential locations lead to longer households VMT in households with only EVs. Third, employment density has different effects on household VMT by groups. For instance, high employment density leads to shorter household VMT in households with only ICEVs and with both ICEVs and EVs. On the other hand, high employment density reveals a statistically positive effect on household VMT in households with only EVs. Lastly, in households with both ICEVs and EVs, the share of EVs' VMT is likely to increase in total household VMT if EVs are used more for work trips and shopping/family errands.\",\"PeriodicalId\":46529,\"journal\":{\"name\":\"Transportation Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/tjo3.12007\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Journal","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/tjo3.12007","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MANAGEMENT","Score":null,"Total":0}
Factors influencing household VMT considering differences between ICE and electric vehicles
This study examines factors affecting household vehicle miles traveled (VMT) with a focus on the differences between electric vehicles (EVs) and conventional internal combustion engine vehicles (ICEVs). This study mainly utilizes detailed individual‐level data from the 2017 National Household Travel Survey‐California Add‐on (2017 NHTS‐CA). We first classify households into three groups such as (1) households with only ICEVs, (2) households with only EVs, and (3) households with both ICEVs and EVs. We then employ ordinary least square regression models to analyze the determinants of household VMT across three groups. Second, we focus on households with both ICEVs and EVs to look at the substitute patterns between ICEVs and EVs. We employ a fractional logit model to analyze the factors affecting the share of EVs' VMT in total household VMT. Key findings are as follows. First, households with only EVs tend to have lower household VMT than others. Second, available charging stations near residential locations lead to longer households VMT in households with only EVs. Third, employment density has different effects on household VMT by groups. For instance, high employment density leads to shorter household VMT in households with only ICEVs and with both ICEVs and EVs. On the other hand, high employment density reveals a statistically positive effect on household VMT in households with only EVs. Lastly, in households with both ICEVs and EVs, the share of EVs' VMT is likely to increase in total household VMT if EVs are used more for work trips and shopping/family errands.
期刊介绍:
Transportation Journal is devoted to the publication of articles that present new knowledge relating to all sectors of the supply chain/logistics/transportation field. These sectors include supply chain/logistics management strategies and techniques; carrier (transport firm) and contract logistics firm (3PL and 4PL) management strategies and techniques; transport economics; regulation, promotion, and other dimensions of public policy toward transport and logistics; and education.