How app-based ride-hailing services influence travel behavior: An empirical study from China

Tang, Bao-Jun; Li, Xiaoyi; Yu, Biying; Wei, Yi‐Ming

doi:10.1080/15568318.2019.1584932

Cited by 91 publications

(62 citation statements)

References 16 publications

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“…This new industry has posed several challenges to policymakers: on the one hand, riders have been using these new mobility services due to several advantages they offer for specific types of trips. The advantages of this form of door-to-door, car-based mobility, as reported by users, include short travel time and waiting time, ease of payment, fare transparency, no need of finding or paying for parking, no need to drive after drinking alcohol, and increased comfort (Rayle et al 2016;Henao 2017;Tang et al 2019;Tirachini and del Río 2019). On the other hand, even though ride-hailing has the potential to reduce car ownership, this does not straightforwardly translate into a reduction of traffic levels and traffic-related externalities.…”

Section: Introductionmentioning

confidence: 99%

The sharing economy and the job market: the case of ride-hailing drivers in Chile

Fielbaum

Tirachini

2020

Transportation

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Ride-hailing (ridesourcing) companies such as Uber, Lyft, and Didi Chuxing have been a disruptive force in the urban mobility landscape around the world during the past decade. In this paper, we analyse the working conditions, earnings, and job satisfaction of ridehailing drivers. We begin by discussing the regulatory, labour, financial, and urban mobility effects of ride-hailing companies. Then, we present the results of a self-administered survey to ride-hailing drivers in Chile, which is complemented with the use of online tools for the estimation of driving earnings. Our findings show that the flexibility to choose work times is the most appreciated attribute of this job, even though most drivers follow a somewhat fixed routine each week. By contrast, the level of transparency with which ride-hailing apps determine driver pay is the attribute with the lowest satisfaction score. A large number of respondents drive for long daily and weekly periods, which is a health and safety hazard. Current drivers are not concerned about the future deployment of driverless vehicles for on-demand mobility services. Ordered probit models for job satisfaction show that ride-hailing was better evaluated by drivers who use it as a complement to another part-time job, by those who earn more money per week, and by those who have not experienced undesirable situations while working, such as harassment or traffic crashes.

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Section: Introductionmentioning

confidence: 99%

The sharing economy and the job market: the case of ride-hailing drivers in Chile

Fielbaum

Tirachini

2020

Transportation

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“…Moreover, the studies in American cities reported a substitution of active modes, such as biking, in the range of 9% and 13% of total ridesourcing trips in San Francisco, Boston, and Denver [ 35 , 45 , 73 ]. Moreover, a similar study in Chinese cities reported that 6.5% of ridesourcing users reduced walking and biking in the Chinese cities [ 75 ]. The finding of this paper, that in Tehran and Cairo, where cycling does not constitute a considerable travel mode, the adaptation of ridesourcing has a positive association with the likelihood of cycling, is important.…”

Section: Discussionmentioning

confidence: 99%

The Association between the Regular Use of ICT Based Mobility Services and the Bicycle Mode Choice in Tehran and Cairo

Mostofi

Masoumi

Dienel

2020

IJERPH

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Regarding the sharp growth rate of ICT (information and communication technology)—based mobility services like ridesourcing, it is essential to investigate the impact of these new mobility services on the transport mode choices, particularly on active mobility modes like cycling. This impact is more important in the MENA context (the Middle East and North Africa), where cycling does not constitute the main mobility mode in the modal split of most MENA cities. This paper studies the relationship between the regular use of ICT-based mobility services like ridesourcing and the tendency to cycle to near destinations. This paper contains the analysis of 4431 interviews in two large cities of the MENA region (Cairo and Tehran). This research uses logistic regression to analyze and compare the odds of cycling among regular and non-regular users of ridesourcing by considering the socio-economic, land use, and perception variables. The findings indicate that the odds of cycling among the regular users of ridesourcing are 2.30 and 1.94 times greater than these odds among non-regular ridesourcing users in Tehran and Cairo, respectively. Therefore, the regular users of ridesourcing are more likely to cycle to their near destinations than non-regular ridesourcing users in these cities.

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“…Apart from the aforementioned studies that focused on proposing and developing apps for promoting behavioral changes, Vasserman et al ( 2015 ), Khoo and Asitha ( 2016 ), Jin et al ( 2018 ), and Tang et al ( 2019 ) studied the impacts of several popular travel information maps (Google Maps, Apple Maps, and Waze) and ridesharing apps (Lyft, Uber and DIDI Chuxing). Vasserman et al ( 2015 ) and Khoo and Asitha ( 2016 ) concluded that these travel information maps can assist their users to make more informed travel decisions.…”

Section: Introductionmentioning

confidence: 99%

“…Vasserman et al ( 2015 ) and Khoo and Asitha ( 2016 ) concluded that these travel information maps can assist their users to make more informed travel decisions. Jin et al ( 2018 ) and Tang et al ( 2019 ) suggested that these ridesharing services can potentially help to reduce private vehicle ownership and vehicle miles traveled. Most of these commercial apps have well-designed information-based feedback, gamification, and social components, and have great impacts on users’ travel behavior.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Pokémon GO on route and mode choice decisions: exploring the potential for integrating augmented reality, gamification, and social components in mobile apps to influence travel decisions

et al. 2021

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This study aims to understand the impacts of Pokémon GO, a popular location-based augmented reality (AR) mobile gaming app, on route and mode choices. Pokémon GO leverages AR to introduce virtual objects at fixed and dynamic locations that translate through the app interface to incentives in the real world that potentially influence users’ route and mode choices. Its gaming nature and social components can possibly enhance long-term user engagement through applying the characteristics of game elements and providing opportunities for competition, collaboration, companionship, and social reinforcement. An online survey is conducted to collect the self-reported behavior of a group of Pokémon GO users to explore its impacts on the following aspects of travel behavior: (1) the frequency of changing the route to interact with virtual objects; (2) the likelihood of carpooling more instead of driving alone for more in-app collaboration; and (3) the likelihood of shifting mode from drive alone to public transit, walking, and cycling if provided with additional incentives. The ordered survey responses including frequency and likelihood are analyzed using random parameters ordered probit models to account for the unobserved heterogeneity across users and identify subpopulations of travelers who are more susceptible to the influence of Pokémon GO. The modeling results identify four types of variables (attitude and perceptions related to Pokémon GO, app engagement, play style, and sociodemographic characteristics) that affect users’ travel behavior. The results illustrate that such apps with integrated AR, gamification, and social components can be used by policymakers to influence various aspects of travel behavior. The study findings and insights can provide valuable feedback to system operators for designing such apps to dynamically manage traffic in real-time and promote long-term sustainable mode shifts.

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How app-based ride-hailing services influence travel behavior: An empirical study from China

Cited by 91 publications

References 16 publications

The sharing economy and the job market: the case of ride-hailing drivers in Chile

The sharing economy and the job market: the case of ride-hailing drivers in Chile

The Association between the Regular Use of ICT Based Mobility Services and the Bicycle Mode Choice in Tehran and Cairo

Impacts of Pokémon GO on route and mode choice decisions: exploring the potential for integrating augmented reality, gamification, and social components in mobile apps to influence travel decisions

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