Electrification of Online Ride-Hailing Vehicles in China: Intention Modelling and Market Prediction

Significant negative impact caused by climate changes, such as economy and life losses, has been experienced globally in recent years, which has called for imminent development and adoption of low carbon technologies in order to mitigate the impact. In 2020, the Chinese government outlined the ‘Dual...

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Autores principales:	Suyang Zhou, Jinyi Chen, Zhi Wu, Yue Qiu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	low carbon vehicle perceived value theory purchase intention market diffusion model Technology T
Acceso en línea:	https://doaj.org/article/4fb0c235b816458e96cbc0f7ec7963bd
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spelling	oai:doaj.org-article:4fb0c235b816458e96cbc0f7ec7963bd2021-11-11T16:05:28ZElectrification of Online Ride-Hailing Vehicles in China: Intention Modelling and Market Prediction10.3390/en142173801996-1073https://doaj.org/article/4fb0c235b816458e96cbc0f7ec7963bd2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7380https://doaj.org/toc/1996-1073Significant negative impact caused by climate changes, such as economy and life losses, has been experienced globally in recent years, which has called for imminent development and adoption of low carbon technologies in order to mitigate the impact. In 2020, the Chinese government outlined the ‘Dual Carbon’ Goal where its carbon emission will peak before 2030 whilst China will become ‘Carbon Neutral’ before 2060. In China, the amount of carbon emissions from the transportation industry stands in second place and it is predicted that the carbon emission of China’s automobile industry will reach between 21.5 and 30 billion tons in 2030. Actions should be taken as quickly as possible to facilitate the transition from traditional fossil fuel vehicles to low carbon vehicles such as electric vehicles in order to reduce carbon emissions effectively. Based on the questionnaire that is designed to survey the electrification of online ride-hailing vehicles, this paper first establishes a consumer purchase intention model according to the perceived value theory. By evaluating six aspects including functional value, emotional value, social value, functional risk, financial risk and physical and mental risk, the regression model of the consumer purchase intention for electric vehicles is built. Subsequently, the average operating models for petroleum fuel vehicles, hybrid vehicles and electric vehicles are established, and on top of this, a fossil fuel price model can be derived. This price model can identify from which price it will be advantageous to use electric vehicles to run an online ride-hailing service. Moreover, a multi-agent model is established to illustrate the spread of electric vehicles in the online ride-hailing sector and the private car sector, which is used to predict the trend of the EV market development in China from 2020 to 2040.Suyang ZhouJinyi ChenZhi WuYue QiuMDPI AGarticlelow carbon vehicleperceived value theorypurchase intentionmarket diffusion modelTechnologyTENEnergies, Vol 14, Iss 7380, p 7380 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	low carbon vehicle perceived value theory purchase intention market diffusion model Technology T
spellingShingle	low carbon vehicle perceived value theory purchase intention market diffusion model Technology T Suyang Zhou Jinyi Chen Zhi Wu Yue Qiu Electrification of Online Ride-Hailing Vehicles in China: Intention Modelling and Market Prediction
description	Significant negative impact caused by climate changes, such as economy and life losses, has been experienced globally in recent years, which has called for imminent development and adoption of low carbon technologies in order to mitigate the impact. In 2020, the Chinese government outlined the ‘Dual Carbon’ Goal where its carbon emission will peak before 2030 whilst China will become ‘Carbon Neutral’ before 2060. In China, the amount of carbon emissions from the transportation industry stands in second place and it is predicted that the carbon emission of China’s automobile industry will reach between 21.5 and 30 billion tons in 2030. Actions should be taken as quickly as possible to facilitate the transition from traditional fossil fuel vehicles to low carbon vehicles such as electric vehicles in order to reduce carbon emissions effectively. Based on the questionnaire that is designed to survey the electrification of online ride-hailing vehicles, this paper first establishes a consumer purchase intention model according to the perceived value theory. By evaluating six aspects including functional value, emotional value, social value, functional risk, financial risk and physical and mental risk, the regression model of the consumer purchase intention for electric vehicles is built. Subsequently, the average operating models for petroleum fuel vehicles, hybrid vehicles and electric vehicles are established, and on top of this, a fossil fuel price model can be derived. This price model can identify from which price it will be advantageous to use electric vehicles to run an online ride-hailing service. Moreover, a multi-agent model is established to illustrate the spread of electric vehicles in the online ride-hailing sector and the private car sector, which is used to predict the trend of the EV market development in China from 2020 to 2040.
format	article
author	Suyang Zhou Jinyi Chen Zhi Wu Yue Qiu
author_facet	Suyang Zhou Jinyi Chen Zhi Wu Yue Qiu
author_sort	Suyang Zhou
title	Electrification of Online Ride-Hailing Vehicles in China: Intention Modelling and Market Prediction
title_short	Electrification of Online Ride-Hailing Vehicles in China: Intention Modelling and Market Prediction
title_full	Electrification of Online Ride-Hailing Vehicles in China: Intention Modelling and Market Prediction
title_fullStr	Electrification of Online Ride-Hailing Vehicles in China: Intention Modelling and Market Prediction
title_full_unstemmed	Electrification of Online Ride-Hailing Vehicles in China: Intention Modelling and Market Prediction
title_sort	electrification of online ride-hailing vehicles in china: intention modelling and market prediction
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4fb0c235b816458e96cbc0f7ec7963bd
work_keys_str_mv	AT suyangzhou electrificationofonlineridehailingvehiclesinchinaintentionmodellingandmarketprediction AT jinyichen electrificationofonlineridehailingvehiclesinchinaintentionmodellingandmarketprediction AT zhiwu electrificationofonlineridehailingvehiclesinchinaintentionmodellingandmarketprediction AT yueqiu electrificationofonlineridehailingvehiclesinchinaintentionmodellingandmarketprediction
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Electrification of Online Ride-Hailing Vehicles in China: Intention Modelling and Market Prediction

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