Carsharing: mitigation strategy for transport-related carbon footprint

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Carsharing: mitigation strategy for transport-related carbon footprint Qi Te 1

& Chen Lianghua

2

Received: 2 June 2019 / Accepted: 13 September 2019/ # Springer Nature B.V. 2019

Abstract

Carsharing (CS) plays an important role in environmental improvements and can be managed as a low-carbon transportation innovation to mitigate the transportation-related carbon footprint. By conducting a questionnaire survey regarding people’s willingness to adopt CS, as well as constructing metrological models to estimate the environmental consequences of the People’s Republic of China’s (hereinafter BChina^) CS market, we find that environmental consequences are closely associated with the CS market. The present study makes a significant breakthrough in the field by building a bridge between them. Previous studies only estimated the environmental impact of CS independently. Analysis shows that a high level of people’s acceptance of CS predetermines the market trend and its continuity. Environmental benefits increase with market size. Results suggest that in 2017 alone, 1.69 × 109 million joules ( MJ) of energy savings and an equivalent carbon dioxide (CO2) emission reduction of 13,6000 tons were due to China’s CS market. During the same period, China’s CS market size increased from 430 million Renminbi (RMB) in 2016 to 1.729 billion RMB in 2017. A greater magnitude of the impact is predicted in 2020 and 2025, according to an analysis of China’s lasting CS market. The impact of CS on parking land use can be quantified through a metrological model. Notably, this is the first study to build a combined dynamic and static model for estimating the reduced parking demands with regard to land use due to CS. Results suggest that in 2017, 4.68 × 109 square meters (m2) of land use savings was theoretically due to China’s CS market. While previous studies have qualitatively linked reduced vehicle ownership and parking demand, few studies have quantified the magnitude of that impact, and no models have been developed. Such complementarity makes it possible to * Qi Te [email protected] Chen Lianghua [email protected]

1

Jiangsu University of Science and Technology, Room 402, Building 122, Vanke Blue Mountain, Jiuhuashan Road, Zhenjiang, Jiangsu, People’s Republic of China

2

School of Economics & Management, Southeast University, No. 2, Southeast University Road, Jiangning District, Nanjing, Jiangsu, People’s Republic of China

Mitigation and Adaptation Strategies for Global Change

use multiple methods in a single research program, including a mixture of quantitative and qualitative approaches. While CS originated in Europe and America, numerous studies have examined the environmental impact of CS operations worldwide. Surveys in Europe indicate that per CS user reduces CO2 emissions by 50% and that the local environmental quality has been improved by CS. An estimated annual reduction of 0.58 tons of CO2-equivalent (CO2e) per household member per year was reported in North America due to observed changes in household driving. Anal