Sustainable Transportation with Electric Vehicles

Kong, Fanxin; Xue, Lixin

doi:10.1561/3100000016

Cited by 8 publications

(2 citation statements)

References 108 publications

(35 reference statements)

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“…Electric vehicles (EVs) have become representative new-energy vehicles [5]. EVs are increasingly popular as an effective component of sustainable transport systems by reducing reliance on fossil fuels and reducing transport-related emissions [6,7]. From the perspective of sustainable development, China has implemented the policy of exempting the purchase tax of battery electric vehicles (BEVs) [8].…”

Section: Introductionmentioning

confidence: 99%

What Influences Chinese Consumers’ Adoption of Battery Electric Vehicles? A Preliminary Study Based on Factor Analysis

et al. 2020

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The rapid development of automobile industry in China did improve people’s quality of life. However, it has also damaged the ecological environment. The emission of a large amount of automobiles is one of the serious air pollution sources. In recent years, the shortage of petrochemical energy, the rapid rise of harmful particles in the air (e.g., PM2.5 and PM10), and the increasing worse atmospheric environment are becoming obstacles to China’s sustainable development. Battery electric vehicles (BEVs) are recognized as an ideal alternative to conventional cars. This study aims to explore the factors that can promote consumers’ adoption of BEVs and to construct domains of these factors. Firstly, an open web questionnaire and semi-structured interviews were conducted to widely collect factors that promote consumers’ purchase of BEVs. Then, questionnaire survey and exploratory factor analysis were used to construct domains of promoting consumers’ purchasing willingness. A total of six factors that promote consumers’ adoption of BEVs were obtained. Finally, the research results can provide references for the Chinese government and the BEV manufacturers in the development and promotion of EVs.

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Section: Introductionmentioning

confidence: 99%

What Influences Chinese Consumers’ Adoption of Battery Electric Vehicles? A Preliminary Study Based on Factor Analysis

et al. 2020

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“…According to statistics, the transportation sector contributes over a half of the oil consumption and a quarter of the CO 2 emissions, which is considered one of the factors resulting in the Greenhouse effect [1]. Electric vehicles (EVs), by reducing the dependency on crude oil and minimizing the transportation-related pollutants emission, are regarded as an effective component in a sustainable transportation system and are becoming increasing popular [2][3][4]. China produced 794,000 new energy vehicles in 2017, a substantial rise of 53.8% from a year earlier, including 478,000 battery-electric passenger vehicles, 114,000 plug-in hybrid passenger vehicles, and 188,000 battery-electric commercial vehicles [5].…”

Section: Introductionmentioning

confidence: 99%

Planning of the Charging Station for Electric Vehicles Utilizing Cellular Signaling Data

2019

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Electric Vehicles (EVs), by reducing the dependency on fossil fuel and minimizing the traffic-related pollutants emission, are considered as an effective component of a sustainable transportation system. However, the massive penetration of EVs brings a big challenge to the establishment of charging infrastructures. This paper presents the approach to locate charging stations utilizing the reconstructed EVs trajectory derived from the Cellular Signaling Data (CSD). Most previous work focused on the commute trips estimated from the number of jobs and households between traffic analysis zones (TAZs). This paper investigated the large-scale CSD and illustrated the method to generate the 24-hour travel demand for each EV. The complete trip in a day for EV was reconstructed through merging the time sequenced trajectory derived from simulation. This paper proposed a two-step model that grouped the charging demand location into clusters and then identified the charging station site through optimization. The proposed approach was applied to investigate the charging behavior of medium-range EVs with Cellular Signaling Data collected from the China Unicom in Tianjin. The results indicate that over 50% of the charging stations are located within the central urban area. The developed approach could contribute to the planning of future charging stations.

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