Ridesharing in Adelaide: Segmentation of users
Ridesharing and the tech companies that enable it have become household names. However, as research has focused on users rather than non-users, much less is known about the latter. Understanding the characteristics, behaviours, and motivations of non-users is quite important too, if the planning goa...
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| Published in | Journal of transport geography Vol. 92; p. 103030 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
Elsevier Ltd
01.04.2021
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Ridesharing and the tech companies that enable it have become household names. However, as research has focused on users rather than non-users, much less is known about the latter. Understanding the characteristics, behaviours, and motivations of non-users is quite important too, if the planning goal is to shift urban populations from private cars to ridesharing. This study examines both users and non-users in the context of Adelaide, an Australian metropolis of 1.3 million inhabitants. We segment (potential) ridesharers into three groups: (1) users, (2) interested non-users, and (3) non-interested non-users in order to investigate the determinants of their behaviours and preferences in more detail. Applying advanced statistical analyses, we find that population density and housing value at neighbourhood level, higher levels of education and income, causal work status, younger age, and access to smartphones are the key factors associated with higher ridesharing use and/or higher interest in ridesharing. Factors such as concern over safety and security, advanced age, digital illiteracy, and suburban living lead non-interested non-users to shun ridesharing. Socio-demographic factors such as car ownership, ethnic background; gender, and household size, are not associated with ridesharing behaviours or preferences. We conclude that the choice of ridesharing in Adelaide is driven by the notion of socio-economic status. |
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| AbstractList | Ridesharing and the tech companies that enable it have become household names. However, as research has focused on users rather than non-users, much less is known about the latter. Understanding the characteristics, behaviours, and motivations of non-users is quite important too, if the planning goal is to shift urban populations from private cars to ridesharing. This study examines both users and non-users in the context of Adelaide, an Australian metropolis of 1.3 million inhabitants. We segment (potential) ridesharers into three groups: (1) users, (2) interested non-users, and (3) non-interested non-users in order to investigate the determinants of their behaviours and preferences in more detail. Applying advanced statistical analyses, we find that population density and housing value at neighbourhood level, higher levels of education and income, causal work status, younger age, and access to smartphones are the key factors associated with higher ridesharing use and/or higher interest in ridesharing. Factors such as concern over safety and security, advanced age, digital illiteracy, and suburban living lead non-interested non-users to shun ridesharing. Socio-demographic factors such as car ownership, ethnic background; gender, and household size, are not associated with ridesharing behaviours or preferences. We conclude that the choice of ridesharing in Adelaide is driven by the notion of socio-economic status. |
| ArticleNumber | 103030 |
| Author | Khalaj, Fahimeh Pojani, Dorina Soltani, Ali Mehdizadeh, Milad Allan, Andrew |
| Author_xml | – sequence: 1 givenname: Ali surname: Soltani fullname: Soltani, Ali email: Ali.Soltani@unisa.edu.au, Soltani@shirazu.ac.ir organization: University of South Australia, Australia – sequence: 2 givenname: Andrew surname: Allan fullname: Allan, Andrew email: Andrew.Allan@unisa.edu.au organization: University of South Australia, Australia – sequence: 3 givenname: Fahimeh surname: Khalaj fullname: Khalaj, Fahimeh email: f.khalaj@uq.edu.au organization: University of Queensland, Australia – sequence: 4 givenname: Dorina surname: Pojani fullname: Pojani, Dorina email: d.pojani@uq.edu.au organization: University of Queensland, Australia – sequence: 5 givenname: Milad surname: Mehdizadeh fullname: Mehdizadeh, Milad email: milad_mehdizadeh@ymail.com organization: Norwegian University of Science and Technology, Norway |
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| SubjectTerms | Adelaide Australia Car pools Ethnic factors Housing Population density Ridesharing Security Segmentation Sharing mobility Smartphones Socioeconomics Statistical analysis Uber Urban populations |
| Title | Ridesharing in Adelaide: Segmentation of users |
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