Disparities in travel times between car and transit: Spatiotemporal patterns in cities

Liao, Yuan; Gil, Jorge; Pereira, Rafael H. M.; Yeh, Sonia; Verendel, Vilhelm

doi:10.1038/s41598-020-61077-0

Cited by 53 publications

(48 citation statements)

References 43 publications

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“…Low-income households likely want cars for many of the same reasons that more affluent households want cars: to participate in economic and social life (Blumenberg and Smart, 2011;Currie and Delbosc, 2011). Having a car provides greater access to jobs and other opportunities in a shorter time and permits more flexibility in travel compared with transit in almost all neighborhoods (Grengs et al, 2010;Kawabata and Shen, 2007;Shen, 2001;Liao et al, 2020). A large body of research, mostly in the U.S., has examined the relationship between transportation and employment outcomes.…”

Section: Car Ownership Among Low-income Householdsmentioning

confidence: 99%

“Desperately Need a Car”: Analyzing crowdfunding campaigns for car purchases and repairs on Gofundme.com

Klein

Tran

Riley

2020

Travel Behaviour and Society

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Our study explores the phenomenon of using the crowdfunding website GoFundMe.com to raise money to purchase and or repair a personal vehicle. We use both text mining and qualitative analysis methods to ask three research questions about GoFundMe campaigns from the United States created in 2018 and 2019. First, how do campaigners on GoFundMe describe their need for personal vehicles? Second, what precipitating events led them to seek crowdfunding for a car purchase or repair? Third, what are broader contexts for these requests for financial assistance? We find that many campaigns describe several interrelated crises, complications, or challenges that the campaigners faced, such as medical conditions, loss of employment, and housing crises. Most campaigners are without a functioning car because of an unexpected event-a car crash, a breakdown, or repairs piling up-combined with their inability to pay for the repairs or replacement. Finally, campaigners wanted cars to travel to work and school, to chauffeur children, and to access medical care.

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Section: Car Ownership Among Low-income Householdsmentioning

confidence: 99%

“Desperately Need a Car”: Analyzing crowdfunding campaigns for car purchases and repairs on Gofundme.com

Klein

Tran

Riley

2020

Travel Behaviour and Society

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“…These factors determine the cost incurred by travellers when selecting a mode of transportation. Car or public transport ridership is driven by the users’ perceived cost [41–44].…”

Section: Modelling Car-based Mobility As a Collective Behaviourmentioning

confidence: 99%

A paradox of traffic and extra cars in a city as a collective behaviour

et al. 2021

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Promoting walking or cycling and reducing cars’ use is one of the city planners’ main targets, contributing to a sustainable transport method. Yet, the number of vehicles worldwide is increasing as fast as the population, and motorized mobility has become the primary transport method in most cities. Here, we consider modal share as an emergent behaviour of personal decisions. All individuals minimize their commuting time and reach an equilibrium under which no person is willing to change their transportation mode. In terms of the minimum travel time, the best-case scenario is used to determine the extra commuting time and the excess cars, computed as a social inefficiency. Results show that commuting times could increase up to 25% with many more vehicles than optimum. Paradoxically, all individuals trying to minimize their time could collectively reach the maximum commuting times in the extreme case, with all individuals driving during rush hour.

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“…Chen et al (2011) applied a temporal component in jobbased accessibility. Liao, Gil, Pereira, Yeh, and Verendel (2020) analyzed travel time between cars and transit in four different cities around world and found car traveling time is shorter in majority parts of the all four cities.…”

Section: Accessibility In Public Transitmentioning

confidence: 99%

A novel big data approach to measure and visualize urban accessibility

Jiang

Guo

et al. 2021

Comput.Urban Sci.

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Accessibility is a topic of interest to multiple disciplines for a long time. In the last decade, the increasing availability of data may have exceeded the development of accessibility modeling approaches, resulting in a modeling gap. In part, this modeling gap may have resulted from the differences needed for single versus multimodal opportunities for access to services. With a focus on large volumes of transportation data, a new measurement approach, called Urban Accessibility Relative Index (UARI), was developed for the integration of multi-mode transportation big data, including taxi, bus, and subway, to quantify, visualize and understand the spatiotemporal patterns of accessibility in urban areas. Using New York City (NYC) as the case study, this paper applies the UARI to the NYC data at a 500-m spatial resolution and an hourly temporal resolution. These high spatiotemporal resolution UARI maps enable us to measure, visualize, and compare the variability of transportation service accessibility in NYC across space and time. Results demonstrate that subways have a higher impact on public transit accessibility than bus services. Also, the UARI is greatly affected by diurnal variability of public transit service.

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Disparities in travel times between car and transit: Spatiotemporal patterns in cities

Cited by 53 publications

References 43 publications

“Desperately Need a Car”: Analyzing crowdfunding campaigns for car purchases and repairs on Gofundme.com

“Desperately Need a Car”: Analyzing crowdfunding campaigns for car purchases and repairs on Gofundme.com

A paradox of traffic and extra cars in a city as a collective behaviour

A novel big data approach to measure and visualize urban accessibility

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