Understanding car sharing preferences and mode substitution patterns: A stated preference experiment

2020 ◽  
Vol 98 ◽  
pp. 139-147 ◽  
Author(s):  
Andrea Papu Carrone ◽  
Valerie Maria Hoening ◽  
Anders Fjendbo Jensen ◽  
Stefan Eriksen Mabit ◽  
Jeppe Rich
Author(s):  
Edith Weisberg ◽  
Deborah Bateson ◽  
Stephanie Knox ◽  
Marion Haas ◽  
Rosalie Viney ◽  
...  

Author(s):  
J.D. Hunt

A stated-preference experiment was performed in Calgary, Alberta, Canada, to examine the nature of various influences on location decisions by various categories of small independent retail firms. A total of 287 completed observations were obtained. In each observation the respondent shop owner or manager was presented with a set of possible shop locations and asked to indicate the order of preference for those locations. These observations were used to estimate the parameter values for a range of alternative utility functions in logit models representing this choice behavior. The results indicate that all the included attributes have significant effects except for the driving time to the nearest electrical substation, which was included as an irrelevant variable to see if the method would indicate it was irrelevant. The results also indicate that the addition of one more competitor nearby is as onerous as an increase in rent of C$127 per month; a switch from a separate location on a minor road to a separate location on a major road is as desirable as a decrease in rent of C$388 per month; a switch from a separate location on a minor road to a mall is as desirable as a decrease in rent of C$665 per month; and an increase in parking charge of C$1 per hour for customers is as onerous as an increase in rent of almost C$200 per month. Some results are novel and others are broadly consistent with findings in other research, which is seen to add credence to the approach used.


2019 ◽  
Vol 11 (3) ◽  
pp. 808 ◽  
Author(s):  
Irfan Ullah ◽  
Kai Liu ◽  
Tran Vanduy

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.


2019 ◽  
Vol 20 (1) ◽  
pp. 04018029 ◽  
Author(s):  
Chiradip Chatterjee ◽  
Evan Flugman ◽  
Fan Jiang ◽  
Pallab Mozumder ◽  
Arindam Gan Chowdhury

2019 ◽  
Vol 24 (4) ◽  
pp. 636-653
Author(s):  
Nataša Bojković ◽  
Veljko Jeremić ◽  
Marijana Petrović ◽  
Slaven Tica

Car sharing is a specific business model that allows a new form of personal mobility. University students, generally very receptive to the concept of a sharing economy, are recognized as a prospective customer group for car sharing operators. This paper proposes an ex ante analysis that aims to reveal how students from an area where car sharing is underdeveloped perceive this mobility option. University students in Belgrade were asked to state their preferences regarding a mix of attributes and levels replicating service design from current practice. Preferences for particular service attributes were explored using stated preference survey and Choice-Based Conjoint analysis, while further preference-based segmentation was obtained using the Partitioning Around Medoids method. The contribution of this work is that it delivers findings on an emerging car-sharing market where there is very little research on user profiles. From a methodological point of view, we form distinctive customer clusters based on the uniformity of their preferences. By being aware of users’ prior expectations, service providers can determine their operational priorities more easily when unlocking the market. The paper outlines both the similarities and differences between students in an emerging market and their counterparts in more developed countries. Our findings reveal that the student population is homogeneous regarding critical aspects of service adoption like cost, distance to vehicles, and parking convenience. Specific service attributes such as the pricing scheme and keeping vehicles clean are found to be issues of peculiar interest in our study market. Although our proposed approach to shaping user preferences was developed for car sharing analysis it is applicable to other service-oriented businesses in the initiation phase.


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