EconPapers    
Economics at your fingertips  
 

The association between e-moped usage and residents’ subjective well-being: a case study of Shanghai, China by using Bayesian network

Shichao Sun and Pingye Wang

Transportation Planning and Technology, 2023, vol. 46, issue 8, 976-997

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.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03081060.2023.2250341 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:transp:v:46:y:2023:i:8:p:976-997

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GTPT20

DOI: 10.1080/03081060.2023.2250341

Access Statistics for this article

Transportation Planning and Technology is currently edited by Dr. David Gillingwater

More articles in Transportation Planning and Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:transp:v:46:y:2023:i:8:p:976-997