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ToolsZhuge, Chengxiang and Shao, Chunfu (2019) Investigating the factors influencing the uptake of electric vehicles in Beijing, China: Statistical and spatial perspectives. Journal of Cleaner Production, 213. pp. 199-216. ISSN 0959-6526
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Abstract
Electrifying urban transportation through the adoption of Electric Vehicles (EVs) has great potential to mitigate two global challenges, namely climate change and energy scarcity, and also to improve local air quality and further benefit human health. This paper was focused on the six typical factors potentially influencing the purchase behaviour of EVs in Beijing, China, namely vehicle price, vehicle usage, social influence, environmental awareness, purchase-related policies and usage-related policies. Specifically, this study used the data collected in a paper-based questionnaire survey in Beijing from September 2015 to March 2016, covering all of the 16 administrative regions, and tried to quantify the relative importance of the six factors, based on their weights (scores) given by participants. Furthermore, Multinomial Logit (MNL) models and Moran's I (a measure of global spatial autocorrelation) were used to analyse the weights of each factor from statistical and spatial perspectives, respectively. The results suggest that 1) vehicle price and usage tend to be more influential among the six factors, accounting for 32.3% and 28.1% of the importance; 2) Apart from the weight of social influence, the weights of the other five factors are closely associated with socio-demographic characteristics, such as individual income and the level of education; 3) people having similar attitudes towards vehicle usage (Moran's I = 0.10) and purchase restriction (Moran's I = 0.14) tend to live close to each other. This paper concludes with a discussion on applying the empirical findings in policy making and modelling of EV purchase behaviour.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | electric vehicle (ev),influential factors,multinomial logit (mnl) model,purchase behaviour,spatial analysis,renewable energy, sustainability and the environment,environmental science(all),strategy and management,industrial and manufacturing engineering,sdg 3 - good health and well-being,sdg 7 - affordable and clean energy,sdg 11 - sustainable cities and communities,sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/2100/2105 |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 19 Dec 2018 11:30 |
| Last Modified: | 05 Jul 2023 10:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/69363 |
| DOI: | 10.1016/j.jclepro.2018.12.099 |
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