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马来西亚电动汽车采用影响因素的数据集:结构方程模型(SEM)分析。

The datasets of factors influencing adoption of electric Cars in Malaysia: A structural equation modelling (SEM) analysis.

作者信息

Khazaei Hamed

机构信息

Malaysia-Japan International Institute of Technology, UTM, Kuala Lumpur, Malaysia.

出版信息

Data Brief. 2019 Oct 11;27:104644. doi: 10.1016/j.dib.2019.104644. eCollection 2019 Dec.

Abstract

The datasets designated in this article were obtained as a result of 10 months of data collection, carried out between august 2017 and May 2018 in Kuala Lumpur, Malaysia. The aim of study was to evaluate the factors Influencing adoption of battery electric vehicles (BEVs) in Malaysia. The data were collected from University Technology Malaysia (Kuala Lumpur campus) and five different companies in Kuala Lumpur. A total of 500 questionnaires were distributed and 322 questionnaires were obtained. After data screening, 312 datasets were analysed. Respondents of the study were postgraduate students, university lecturers and top to low level managers.

摘要

本文指定的数据集是2017年8月至2018年5月在马来西亚吉隆坡进行的为期10个月的数据收集工作的成果。该研究的目的是评估影响马来西亚纯电动汽车(BEV)采用率的因素。数据收集自马来西亚科技大学(吉隆坡校区)和吉隆坡的五家不同公司。总共发放了500份问卷,回收了322份问卷。经过数据筛选,对312个数据集进行了分析。该研究的受访者包括研究生、大学讲师以及从高层到低层的管理人员。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2873/6820117/b3e09642a9a7/gr1.jpg

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