The Impact of Car-Sharing on the Use Dependency of Private Cars

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Qing Xu ◽  
Dong-Yuan Yang ◽  
Zheng-Yu Duan ◽  
Xian-Wei Wang ◽  
Yi-An Liu
2020 ◽  
Vol 12 (19) ◽  
pp. 8155
Author(s):  
Donald A. Chapman ◽  
Johan Eyckmans ◽  
Karel Van Acker

Private car-use is a major contributor of greenhouse gases. Car-sharing is often hypothesised as a potential solution to reduce car-ownership, which can lead to car-sharing users reducing their car-use. However, there is a risk that car-sharing may also increase car-use amongst some users. Existing studies on the impacts of car-sharing on car-use are often based on estimates of the users’ own judgement of the effects; few studies make use of quasi-experimental methods. In this paper, the impact of car-sharing on car-ownership and car-use in Flanders, Belgium is estimated using survey data from both sharers and non-sharers. The impact on car-use is estimated using zero-inflated negative binomial regression, applied to matched samples of car-sharing users and non-users. The results show that the car-sharing may reduce car-use, but only if a significant number of users reduce their car-ownership. Policy intervention may therefore be required to ensure car-sharing leads to a reduction in car-use by, for example, discouraging car-ownership. Further research using quasi-experimental methods is required to illuminate whether the promise of car-sharing is reflected in reality.


2021 ◽  
Vol 13 (13) ◽  
pp. 7384
Author(s):  
Aaron Kolleck

The sharing economy is making its way into our everyday lives. One of its business models, car-sharing, has become highly popular. Can it help us increase our sustainability? Besides emissions and vehicle miles traveled, one key aspect in the assessment regards the effect of car-sharing on car ownership. Previous studies investigating this effect have relied almost exclusively on surveys and come to very heterogeneous results, partly suggesting spectacular substitution rates between shared and private cars. This study empirically explores the impact of car-sharing on noncorporate car ownership and car markets in 35 large German cities. The analysis draws on publicly available data for the years 2012, 2013, 2015, and 2017, including, among others, the number of shared cars per operating mode (free-floating and station-based) and the number of cars owned and registered by private individuals (i.e., excluding company cars). We find that one additional station-based car is associated with a reduction of about nine private cars. We do not find a statistically significant relation between car ownership and free-floating car-sharing. Neither type of car-sharing appears to impact the markets for used and new cars significantly. Given the measurable impacts on car ownership levels, this result is surprising and invites future research to study car-sharing’s impact on the dynamics of car markets.


2020 ◽  
Vol 14 (6) ◽  
pp. 975-983
Author(s):  
Katsuya Tsuji ◽  
◽  
Kiyo Kurisu ◽  
Jun Nakatani ◽  
Yuichi Moriguchi

Sustainable production and consumption are categorized as target 12 in the United Nations’ Sustainable Development Goals. The “sharing economy” has been developing globally as a new consumption style, and it is often recognized as being environmentally friendly by both consumers and service providers. Several aspects of the practice, such as the avoidance of new production, can reduce the impact to the environment. However, additional factors, such as the expansion of consumption, namely rebound effects, can increase the impact to the environment. Although many variables exist to determine the total impact of sharing services on the environment, additional and rebound effects and the uncertainty of influential variables have not been well considered. In this study, we aim to reveal the conditions that car-sharing practices place in increasing or decreasing environmental loads, and to identify the significant influential factors on the environment imposed by car-sharing services. We analyze the CO2 emission of car sharing by considering various influential factors and their distributions. Furthermore, we consider differences in car size, fuel type, ownership condition, and several other factors in the simulation. The distribution of each variable is determined, and a Monte Carlo simulation is conducted. The CO2 emissions from the production and operational stages over a 10-y period are estimated. The simulation is conducted with sensitivity analysis to identify the variables that contribute significantly to the total CO2 emission. In some cases, the CO2 emission involved in car sharing exceeded cases in which car sharing is not practiced. Among those cases, although the main contributor to the total CO2 emission is in the operational stage, CO2 emission from the production stage increased the amount of emission. It is discovered that the number of cars increased significantly during the target 10 y after sharing is introduced in some cases. These results indicate a high probability that car sharing can achieve CO2 reduction, but the increase in CO2 emission can occur under certain conditions. Additionally, the sensitivity analysis shows that the main determinants of CO2 emission are the ratio of people who eliminated their private cars, degree of rebound effect, and increasing ratio of number of cars introduced to car-sharing practices. This suggests that whether car sharing becomes environmentally friendly depends substantially on consumer behavior and the manner in which sharing services are operated.


2016 ◽  
Vol 4 ◽  
pp. 814-819 ◽  
Author(s):  
Piotr Marek Smolnicki ◽  
Jacek Sołtys

Many examples from the past show how new technologies, designed to solve particular problems, can create new problems as a side-effect. Some unforeseen or unwanted results may influence the use of space and spatial structures, for example. Car-sharing is an invention that competes with car ownership and which can drastically rise the efficiency of car use and reduce the number of vehicles per users. Diffusion of car-sharing will accelerate in the near future. The spatial consequences of a car-ownership-oriented-century are already known. However, the complications of all travelers using shared automobiles is yet to be understood. It is therefore appropriate to anticipate and prepare for potential side effects of this innovation’s diffusion and thus avoid possible negative consequences. This reasoning has led to our research into the relationship between modern mobility innovations and metropolitan spatial structures. The earliest implementations of new transport technologies appeared in metropolises, which also have the highest level of general mobility. This article presents the assumptions and principles from scenario-based research. The example shows how diffusion of this innovation determine possible scenarios relating to future impacts of car-sharing on spatial structures.


2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Ying Hui ◽  
Yujiao Wang ◽  
Qinlu Sun ◽  
Lei Tang

This paper aims to explore the potential of car-sharing in reducing car ownership and what are the impact factors. Based on the data of Hangzhou “Fun Car-sharing” system, a discrete choice model was established to study the willingness to postpone car purchase with participation in car-sharing. Compared with previous studies, this study included the variables involved in the questionnaire and those related to the usage characteristics extracted from rental data and GPS data. The questionnaire data indicate that about 50% of respondents will postpone car purchase by participating in car-sharing. The discrete choice model indicates that car-sharing in China can play a role in delaying car purchase. The results further suggest that respondents who use car-sharing more frequently, travel to work by car, or have an activity anchor in their trip are more likely to postpone car purchase. Moreover, respondents whose most common travel purpose of car-sharing is work-related or car purchase plan is definite are less likely to postpone car purchase after participating in car-sharing. The insights gained in this study can help cities and car-sharing operators to formulate relevant policies and regulation that optimally integrate car-sharing services into the overall urban transport systems.


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