Mining Carsharing Use Patterns from Rental Data: A Case Study of Chefenxiang in Hangzhou, China

Chen, Qian; Liu, Weifeng; Ding, Mengtao; Hui, Ying; Xu, Qing; Yang, Dongyuan

doi:10.1016/j.trpro.2017.05.307

Cited by 19 publications

(12 citation statements)

References 6 publications

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“…The results showed that people who are non-car-owners preferred using car sharing for round-trips. In Hangzhou, the Chefenxiang car sharing organization which offers round-trip services, has 79 parking locations throughout the city [32]. Shaheen and Martin conducted survey to investigate citizens' attitudes towards car sharing systems [33], and the results indicate that younger and well-educated people are more likely to use car sharing systems.…”

Section: Introductionmentioning

confidence: 99%

Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan

2019

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In recent years, car sharing has emerged as a novel alternative to private car ownership in urban areas worldwide. Potential benefits of this system include improved mobility and reduced congestion, vehicle ownership, parking issues, and greenhouse gas (GHG) emissions. This study aimed to investigate travelers' acceptance of car sharing systems through a stated preference survey in the city of Peshawar, Pakistan. The questionnaires were distributed online via a Google form. Questions were designed from numerous aspects of car sharing systems, such as awareness of car sharing systems, attributes related to travel modes in the choice set, and demographic characteristics. A total of 453 valid responses were received. The Multinomial and Nested Logit models were employed for evaluation and analysis of survey responses. Demographic characteristics including gender, job, and income were found to be significant. Service attributes including travel time, travel cost, registration fees, and capital cost, were also significant. The multinomial logit model based on both car-owners and non-car-owners fit a little better than the nested logit model. Our findings in the present study could be beneficial for transport planners and policy makers to timely implement car sharing systems in cities in order to mitigate increased car ownership and traffic congestion.Sustainability 2019, 11, 808 2 of 16 numbers have increased by~229% over the past decade. During peak hours, one cannot exit the city in less than an hour [3,6]. The motorization growth in Peshawar is shown in Table 1.

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Section: Introductionmentioning

confidence: 99%

Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan

2019

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“…Shopping and visiting friends also have a strong effect, as both activities usually require time spent making decisions and communicating with people. Finally, “out for business” is also a strong explanation for longer rental time, because this kind of activity requires efficiency on the road but takes considerable time when handling the business [ 43 ].…”

Section: Resultsmentioning

confidence: 99%

User characteristics and service satisfaction of car sharing systems: Evidence from Hangzhou, China

et al. 2022

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Car sharing has become a new mode of transport during the past two decades in the world. Its rapid growth in China has attracted a wide range of users and posed some problems. The main focus is on service efficiency and user satisfaction. To explore possible service enhancement and management intervention, this study aims at capturing the user characteristics according to different user types and scrutinizing their satisfaction with station-based one-way car sharing service. The study firstly illustrates descriptive statistics of user profile. This is followed by a study of user satisfaction influenced by user rates on staffs, the efficiency of rental process, vehicle situation, the use of credit card and their familiarity towards rental station. Furthermore, by clustering users according to the total travel time and distance during one rent, two different types of users are identified and defined as User Group A (UGA) and User Group B (UGB). To examine how fully do users utilize the shared cars, ANOVA was conducted implying family car ownership, total travel distance and main travel purpose have strong impact on total rental time for UGB, while for UGA, travel purpose and age have strong impact. Finally, ordinal logistic regression was introduced to find that for UGB, “shopping” is the main travel purpose with longer rental time, whereas for UGA, “out for business”, “shopping”, “visit friends” or “pick up others” are the main travel purposes with longer total travel time. Based on the findings, advices for operators on how to improve service quality and suggestions for government management strategy are discussed, respectively.

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“…With the advancement of mobile internet technologies and location-aware technologies, it has become easier to obtain trajectory data such as spatial trajectories of people and vehicles [28]. For such data, what people care about are the moving objects, spatial regions, temporal characteristics and moving patterns [28][29][30][31]. Studies on those aspects usually involve many trajectory parameters, including original parameters such as geographic coordinates and timestamp and derived parameters such as distance and spatial distribution [29].…”

Section: The Travel Behavior Characteristics Of Car Sharing Usersmentioning

confidence: 99%

“…In recent years, in order to discover the rich semantic information contained in trajectory data and to speculate people's travel purposes, scholars have begun to consider the relationship between travel behavior characteristics and points of interest, and they have made good progress [28]. Qian et al inferred that car sharing users utilize the transportation mode mainly because of commuting or business purposes, and most of the orders of car sharing are of short-to medium-distances and temporary [30]. By analyzing the frequencies of people using car sharing, Hui et al noted that, among all the car sharing users, the regular users often choose car sharing for commuting; while the non-regular users tend to use the transportation mode for recreation and entertainment [31].…”

Section: The Travel Behavior Characteristics Of Car Sharing Usersmentioning

confidence: 99%

Understanding the Competitive Advantages of Car Sharing from the Travel-Cost Perspective

Dong

Cai

Cheng

et al. 2020

IJERPH

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The emergence and development of car sharing can not only satisfy people’s diverse travel demands, but also can bring a new solution to facilitate urban low-carbon and green development. With the increasing acceptance of car sharing, the market competition between car sharing and traditional taxis is becoming increasingly fierce. Therefore, we explore the advantages of car sharing to travelers compared with taxis. In this paper, we first use the GPS (Global Positioning System) trajectory data of car sharing orders to construct a comparative advantage model based on travel-cost. Then, we take Beijing as the research area to explore the travel-cost advantages of car sharing in terms of the time and space dimensions compared with taxis, through calculating the travel-cost of car sharing and using simulation to calculate that of taxis. The results of the comparison between car sharing and taxis from the perspective of travel-cost are as follows: (1) Compared with short trips, the travel-cost advantage of car sharing is relatively higher in medium and long trips; for travelers, the taxi has a higher travel-cost advantage when the travel time is either very long or very short. (2) On weekdays, it is more cost-effective to travel by shared cars for travelers before the rush hours in the evening, and the travel-cost advantage of using taxis is greater after the evening peak. (3) Compared with weekdays, it is more cost-effective to travel by shared cars on weekends wherever travelers are living in the main urban areas or in the remote suburbs. It is suggested that relevant departments should understand the travelers’ preference and analyze the influence mechanism of other various factors on the market demand for car sharing as per the focus on the market on the travel-cost advantages of car sharing, so as to promote the healthy and sustainable development of urban shared transportation.

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Mining Carsharing Use Patterns from Rental Data: A Case Study of Chefenxiang in Hangzhou, China

Cited by 19 publications

References 6 publications

Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan

Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan

User characteristics and service satisfaction of car sharing systems: Evidence from Hangzhou, China

Understanding the Competitive Advantages of Car Sharing from the Travel-Cost Perspective

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