{"title":"The association between e-moped usage and residents’ subjective well-being: a case study of Shanghai, China by using Bayesian network","authors":"Shichao Sun, Pingye Wang","doi":"10.1080/03081060.2023.2250341","DOIUrl":null,"url":null,"abstract":"ABSTRACT Subjective well-being (SWB) is known to significantly influence individuals’ happiness and health, as well as sustainable social development. One crucial factor that affects residents’ SWB is their choice of transport mode. However, limited research has been conducted on how the use of e-mopeds, one of the most prevalent transportation modes in China, impacts residents’ SWB. To address this gap, this study utilizes survey data from eight traffic analysis zones in Shanghai to conduct an empirical investigation focused on the relationship between the use of e-mopeds for various purposes and residents’ SWB. A Bayesian network (BN) model is established to explore the correlations among travel-related attributes, socio-demographics, and SWB. The model's results reveal a strong correlation between e-moped usage and the likelihood of achieving higher SWB. Consequently, supporting the development of e-mopeds in Shanghai is considered crucial, and targeted policies are suggested.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"16 1","pages":"976 - 997"},"PeriodicalIF":1.3000,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Planning and Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/03081060.2023.2250341","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT Subjective well-being (SWB) is known to significantly influence individuals’ happiness and health, as well as sustainable social development. One crucial factor that affects residents’ SWB is their choice of transport mode. However, limited research has been conducted on how the use of e-mopeds, one of the most prevalent transportation modes in China, impacts residents’ SWB. To address this gap, this study utilizes survey data from eight traffic analysis zones in Shanghai to conduct an empirical investigation focused on the relationship between the use of e-mopeds for various purposes and residents’ SWB. A Bayesian network (BN) model is established to explore the correlations among travel-related attributes, socio-demographics, and SWB. The model's results reveal a strong correlation between e-moped usage and the likelihood of achieving higher SWB. Consequently, supporting the development of e-mopeds in Shanghai is considered crucial, and targeted policies are suggested.
期刊介绍:
Transportation Planning and Technology places considerable emphasis on the interface between transportation planning and technology, economics, land use planning and policy.
The Editor welcomes submissions covering, but not limited to, topics such as:
• transport demand
• land use forecasting
• economic evaluation and its relationship to policy in both developed and developing countries
• conventional and possibly unconventional future systems technology
• urban and interurban transport terminals and interchanges
• environmental aspects associated with transport (particularly those relating to climate change resilience and adaptation).
The journal also welcomes technical papers of a more narrow focus as well as in-depth state-of-the-art papers. State-of-the-art papers should address transport topics that have a strong empirical base and contain explanatory research results that fit well with the core aims and scope of the journal.