Risk perception and intention to discontinue use of ride-hailing services in China: Taking the example of DiDi Chuxing

Ma, Liang; Xin, Zhang; Ding, Xiuzhen; Wang, Gaoshan

doi:10.1016/j.trf.2019.09.021

Cited by 83 publications

(52 citation statements)

References 58 publications

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“…As expected, users who do not prefer to travel with strangers were less likely to use ridesourcing services compared to conventional modes. Trust issue with strangers is one of the primary concerns discouraging people from using ridesourcing services, consistent with findings of the literature (Ma et al 2019 ; Alemi et al 2019 ; Azimi et al 2020 ).…”

Section: Model Resultssupporting

confidence: 87%

Exploring the attitudes of Millennials and Generation Xers toward ridesourcing services

2021

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This paper presents a study investigating the potential market of ridesourcing services, with a focus on the attitudinal and preferential differences between Millennials and Generation Xers. Data obtained from a stated preference survey were utilized, where the respondents were asked to choose between a conventional mode (private vehicle driver, transit, or private vehicle passenger) and ridesourcing modes (exclusive ride and shared ride). Error component nested logit models were developed for Generation Xers and Millennials, respectively. Latent attitudes derived through factor analysis were incorporated into models. A wide range of attitudinal indicators, including general mobility attitudes, perceived benefits and concerns of shared mobility services, reasons for or against owning a car, reasons for ridings Autonomous Vehicles (AV), and the most desired AV features were considered to extract latent attitudes. Model results indicated distinct mode choice behavior between Millennials and Generation Xers. For Generation Xers, the choice to switch to ridesourcing was highly dependent on the perceived time and cost benefits of shared mobility. On the other hand, Millennials’ choices were more likely to be influenced by their attitudes or desire toward technology, on-demand services, and driving stress relief. Interestingly, the joy of driving showed a negative impact on Millennials' use of shared-ride services only. The findings from this study provide a more in-depth understanding of the distinct behavior of Generation Xers and Millennials toward shared mobility services, which could help develop strategies and policies to focus more effectively on the needs and concerns of individuals based on their characteristics and attitudes and help promote sustainable transportation system.

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Section: Model Resultssupporting

confidence: 87%

Exploring the attitudes of Millennials and Generation Xers toward ridesourcing services

2021

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“…Risk perceptions related to individual health, crime, and traffic safety can affect individuals’ preference or avoidance of specific travel modes ( Hilland et al, 2020 , Hotle et al, 2020 , Ma et al, 2019 , Wang and Akar, 2019 ). Studies focusing on risk perceptions, COVID-19, and travel outcomes state that perceived risk of infection is negatively associated with out-of-home activity participation and trip frequency ( Parady et al, 2020 , Wise et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Perceived risk of infection while traveling during the COVID-19 pandemic: Insights from Columbus, OH

Ozbilen

Slagle

Akar

2021

Transportation Research Interdisciplinary Perspectives

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The COVID-19 outbreak caused major disruptions on individuals’ out-of-home activities. Worldwide mandates to slow down the spread of the disease resulted in significant reductions in travel. This study analyzes the changes in individuals’ travel outcomes and their risk perceptions related to exposure and specific travel modes during the COVID-19 pandemic. We use data collected through an online survey with residents of Columbus, OH from April 30 to May 7, 2020. Employing multiple generalized estimating equations (GEEs) with a logit link function, we analyze the perceived risk of infection while traveling with different modes controlling for socio-demographics. The findings show that on average individuals are more likely to find shared modes (i.e., transit, ride-hailing, carsharing) riskier as compared to individual ones (i.e., walking, autos) when it comes to COVID-19 exposure. This study also suggests that the associations between perceptions related to exposure and various travel modes vary across groups with (1) different primary mode preferences (auto users vs non-auto users (e.g., transit users, bicyclists, etc.)), and (2) different socio-demographics. For example, auto users are more likely to find shared modes such as ride-hailing or transit riskier as compared to personal car. The conclusions present recommendations for future transportation policies in the post-COVID era. These include building upon the emerging positive perceptions towards non-motorized modes as an opportunity to promote sustainable transportation as well as formulating viable solutions to address the high-risk perceptions associated with transit.

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“…Data provided by Didi's online service have informed the field of urban and traffic planning (Ma and Long, 2020). Though few in quantity, research on Didi itself has also been conducted to examine service quality and user perceptions (Ma et al, 2019). But no prior research has studied the process and mechanism of Didi's mediating role in building trust between strangers as a third-party platform.…”

mentioning

confidence: 99%

Trust transfer and the intention to use app-enabled carpooling service

Neill

2020

APJML

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PurposeIn China, with the rapid dissemination of mobile communications technology along with congested traffic and increasingly expensive transportation costs, consumers are turning to smartphone-enabled, ride-sharing services. Sharing economy requires trust in strangers. Based on trust transfer theory and a dyadic conceptualization of trust from cognitive to affective, the purpose of this study is to examine trust building through the use of Didi, a third-party, ride-sharing platform that mediates exchanges among strangers.Design/methodology/approachStructural equation modeling (SEM) results based on 242 observations indicate that the platform functions as an important enabler of trust, which influences a consumer's behavioral intention.FindingsSpecifically, Didi's reputation and security assurance have a positive influence on passengers' cognitive trust in drivers. There is also evidence that the interaction as mediated by the app between passengers and drivers helps the formation of affective trust, while the results do not support a relationship between cognitive and affective trust.Originality/valueThe research findings address trust transference between participants in the sharing economy and its effects, which have significant theoretical and practical implications and offer opportunities for future research in other sectors of the sharing economy.

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Risk perception and intention to discontinue use of ride-hailing services in China: Taking the example of DiDi Chuxing

Cited by 83 publications

References 58 publications

Exploring the attitudes of Millennials and Generation Xers toward ridesourcing services

Exploring the attitudes of Millennials and Generation Xers toward ridesourcing services

Perceived risk of infection while traveling during the COVID-19 pandemic: Insights from Columbus, OH

Trust transfer and the intention to use app-enabled carpooling service

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