Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto

Loa, Patrick; Habib, Khandker Nurul

doi:10.1016/j.tra.2021.02.002

Cited by 39 publications

(14 citation statements)

References 40 publications

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“…Irawan et al [9] used the shorter waiting time and less ingress and egress time in the usefulness of ride-sourcing. The journey benefit (i.e., safety, reliability, convenience) was also among the significant variables that shaped ride-sourcing use in Toronto [47]. Etminani-Ghasrodashti and Hamidi [24] extend the travel advantages with cost-effectiveness and trip security when using ridesourcing.…”

Section: The Effects Of Multi-tasking and Travel Advantages Of Using Ride-sourcingmentioning

confidence: 96%

The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia

et al. 2021

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This paper explores the effects of on-journey (i.e., waiting and travel time reliability, driver quality), before-journey (i.e., service coverage, application quality, fare, etc.), and multi-tasking advantages when using ride-sourcing, the perceived usefulness of ride-sourcing and, in turn, the frequency of usage. Assuming a structural form without any reciprocal effects, the modified Structural Equation Model is used. This study collected data from 497 ride-sourcing users in Bandung city in 2018. As expected, ride-sourcing users who appreciate the usefulness of ride-sourcing services correlate with a higher frequency of use. This study found that situational variables or variables related to travel and built environment conditions (e.g., on-journey advantages, built environment, and travel characteristics) play a role in keeping travellers using the services. This study confirms that multi-tasking is not a reason for ride-sourcing users to use the services more often. Moreover, those who previously used motorcycles and car-based ride-sourcing (CBRS) are more loyal travellers than car, public transport users, and motorcycle-based-ride-sourcing (MBRS) users, respectively.

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Section: The Effects Of Multi-tasking and Travel Advantages Of Using Ride-sourcingmentioning

confidence: 96%

The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia

et al. 2021

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“…UberPool is an example of a dynamic ride sharing service. The most popular findings from prior research indicated that ride sharing services users were mainly in the younger adult, highly educated and high-income groups [18,19]. However, an opposite trend was confirmed in the contemporary study, where users of ride sharing primarily came from low-and middle-income households [20][21][22].…”

Section: Definition Of Shared Mobilitymentioning

confidence: 97%

Analysis of the Use and Perception of Shared Mobility: A Case Study in Western Australia

Standing

Jie

et al. 2021

Sustainability

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The sharing economy has acquired a lot of media attention in recent years, and it has had a significant impact on the transport sector. This paper investigates the existing impact and potential of various forms of shared mobility, concentrating on the case study of Wanneroo, Western Australia. We adopted bibliometric analysis and visualization tools based on nearly 700 papers collected from the Scopus database to identify research clusters on shared mobility. Based on the clusters identified, we undertook a further content analysis to clarify the factors affecting the potential of different shared mobility modes. A specially designed questionnaire was applied for Wanneroo’s residents to explore their use of shared mobility, their future behaviour intentions, and their perspectives on the advantages and challenges of adoption. The empirical findings indicate that the majority of respondents who had used shared mobility options in the last 12 months belong to the low-mean-age group. The younger age group of participants also showed positive views on shared mobility and would consider using it in the future. Household size in terms of number of children did not make any impact on shared mobility options. Preference for shared mobility services is not related to income level. Bike sharing was less commonly used than the other forms of shared mobility.

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“…These studies generally use survey results to forecast market penetration of autonomous vehicles (AVs) (1)(2)(3) or mode choice with the introduction of AVs as a modal alternative (4). Similar research streams exist for electric vehicles (EVs) (5) and ridehailing adoption and mode choice (6,7). Vertical takeoff and landing (VTOL) urban air mobility is also an emerging topic of interest in travel behavior research (8,9).…”

Section: Technology Technology Adoptionmentioning

confidence: 99%

Anticipating Current and Coming Technologies that Affect U.S. Travel Choices

Hawkins

Kockelman

Huang

2023

Transportation Research Record: Journal of the Transportation R

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Understanding the preferences for new and future transportation technologies is important to ensure an efficient and equitable future transportation system. A survey was conducted of Americans’ preferences for several such technologies. Americans are concerned about vehicle range and charging station availability for electric vehicles (EVs) and hesitant about autonomous vehicle (AV) safety. Opinions about many transportation technologies, such as vertical takeoff and landing (i.e., air taxis), shared parking, and air-drone delivery are mixed. These less familiar technologies require continued tracking of preferences. A 55% increase is estimated in the probability of an individual choosing a battery electric vehicle (BEV) pickup truck if its fuel economy increases by about 9%. This result supports a market for BEV pickup trucks currently under development by many automakers. The preference for vehicle autonomation appears to depend on the use case. Driving task automation is preferred by residents of low-density, car-dependent areas where long commutes are common. In contrast, automated parking technologies are favored by those living in denser communities. Intermittent bus lanes are favored by those living in high population density areas, but not among those in areas with high shares of zero-vehicle households. These results provide indications of where to direct future research in the field.

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Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto

Cited by 39 publications

References 40 publications

The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia

The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia

Analysis of the Use and Perception of Shared Mobility: A Case Study in Western Australia

Anticipating Current and Coming Technologies that Affect U.S. Travel Choices

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