Exploring impacts of COVID-19 on city-wide taxi and ride-sourcing markets: Evidence from Ningbo, China

Yu, Jingru; Xie, Ningke; Zhu, Jiangtao; Qian, Yiwei; Zheng, Sijing; Chen, Xiqun

doi:10.1016/j.tranpol.2021.11.017

Cited by 29 publications

(18 citation statements)

References 21 publications

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Section: Introductionmentioning

confidence: 99%

“…Previous literature revealed that the pandemic has significantly influenced demand for all modes of transportation [18,19] as well as changed individual's travel behaviour and preferences [20][21][22][23]. During the COVID-19 first and second waves, public transit, taxi, and ridesourcing services have experienced substantial reductions in the ridership [19,24,25]. However, public transit users were more likely to change their travel mode compared with the users of other modes, due to their concerns regarding the safety of the service and fears of getting infected [19,20,[26][27][28].…”

Section: Introductionmentioning

confidence: 99%

“…During the COVID-19 first and second waves, public transit, taxi, and ridesourcing services have experienced substantial reductions in the ridership [19,24,25]. However, public transit users were more likely to change their travel mode compared with the users of other modes, due to their concerns regarding the safety of the service and fears of getting infected [19,20,[26][27][28]. Moreover, user's low confidence in public transit is expected to slow down the recovery of the system [29].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, user's low confidence in public transit is expected to slow down the recovery of the system [29]. On the contrary, the use of private vehicles, motorcycles, and active means of transportation have become more common [19,26].…”

Section: Introductionmentioning

confidence: 99%

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The impact of COVID-19 pandemic on ridesourcing services differed between small towns and large cities

Alsaleh

Farooq

2022

PLoS ONE

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To curb the spread of the ongoing 2019 novel coronavirus (COVID-19), authorities have adopted several non-pharmaceutical (NPIs) and pharmaceutical interventions, which significantly affected our daily activities and mobility patterns. However, it is still unclear how severity of NPIs, COVID-19-related variables, and vaccination rates have affected demand for ridesourcing services, and whether these effects vary across small towns and large cities. We analyzed over 220 million ride requests in the City of Chicago (population: 2.7 million), Illinois, and 52 thousand in the Town of Innisfil (population: 37 thousand), Ontario, to investigate the impact of the COVID-19 pandemic on the ridesourcing demand in the two locations. Overall, the pandemic resulted in fewer trips in areas with higher proportions of seniors and more trips to parks and green spaces. Ridesourcing demand was adversely affected by the stringency index and COVID-19-related variables, and positively affected by vaccination rates. However, compared to Innisfil, ridesourcing services in Chicago experienced higher reductions in demand, were more affected by the number of hospitalizations and deaths, were less impacted by vaccination rates, and had lower recovery rates.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The impact of COVID-19 pandemic on ridesourcing services differed between small towns and large cities

Alsaleh

Farooq

2022

PLoS ONE

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“…While on the other hand, shared mobility could provide non-car owners with more protective spaces while traveling due to its in-vehicle crowding avoidance and lower close contact. Therefore, it could play an important role in the post-pandemic era (Song et al, 2022;Wang W. et al, 2022;Yu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Exploring the Role of Shared Mobility in Alleviating Private Car Dependence and On-Road Carbon Emissions in the Context of COVID-19

Zhang

Shao

Wang

et al. 2022

Front. Environ. Sci.

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Shared mobility is becoming increasingly popular worldwide, and travelers show more complex choice preferences during the post-pandemic era. This study explored the role of shared mobility in the context of coronavirus disease (COVID-19) by comparing the travel mode choice behavior with and without shared mobility. Considering the shared mobility services of ride-hailing, ride-sharing, car-sharing, and bike-sharing, the stated preference survey was designed, and the mixed logit model with panel data was applied. The results show that if shared mobility is absent, approximately 50% of motorized mobility users and 84.62% of bike-sharing adopters will switch to using private car and public transport, respectively. The perceived pandemic severity positively affects the usage of car-sharing and bike-sharing, while it negatively affects the ride-sharing usage. Under different pandemic severity levels, the average probabilities of private car choice with and without shared mobility are 38.70 and 57.77%, respectively; thus, shared mobility would alleviate the dependence on private car in post-pandemic future. It also helps to decrease the on-road carbon emissions when the pandemic severity is lower than 53. These findings suggest policymakers to maintain the shared mobility ridership and simultaneously contain the pandemic. Additionally, pricing discount and safety enhancement are more effective than reducing detour time to protect ride-sharing against COVID-19.

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Understanding evolving user choices: a neural network analysis of TAXI and ride-hailing services in Barcelona

Guillén-Pujadas,

Vizuete-Luciano,

Alaminos

et al. 2023

Soft Comput

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Urban mobility stands as a fundamental element worthy of consideration by both society and its leaders. Often, decisions in this realm are made by governing figures without duly factoring in the preferences and needs of citizens. In our study, we delve into the changes that have unfolded within Barcelona from the standpoint of its users. The primary aim of this article is to observe the preferences that these users hold regarding the array of mobility options available to them in the urban environment. To this end, we’ve incorporated various aspects of significant relevance and contemporary presence in today’s society, such as mobility and sustainability, focusing specifically on the two most frequently used types of commercial passenger vehicles (CPV) within urban contexts: taxis and ride-hailing services. To gather the necessary sample data, a survey was conducted with a significance level of 95%. Following an exhaustive examination of the existing literature surrounding these concepts, we proceeded with the analysis of the sample using neural networks. The outcomes garnered encompass user receptiveness to the technological evolution shaping the sector, the utilization of mobile applications, a predisposition to opt for fixed tariffs, and the pivotal role of new blockchain-based technologies (NFTs and fan tokens) in influencing user decision-making.

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Exploring impacts of COVID-19 on city-wide taxi and ride-sourcing markets: Evidence from Ningbo, China

Cited by 29 publications

References 21 publications

The impact of COVID-19 pandemic on ridesourcing services differed between small towns and large cities

The impact of COVID-19 pandemic on ridesourcing services differed between small towns and large cities

Exploring the Role of Shared Mobility in Alleviating Private Car Dependence and On-Road Carbon Emissions in the Context of COVID-19

Understanding evolving user choices: a neural network analysis of TAXI and ride-hailing services in Barcelona

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