Identifying spatiotemporal transit deserts in Seoul, South Korea

Lee, Hye Kyung; Jiao, Junfeng; Choi, Seung Jun

doi:10.1016/j.jtrangeo.2021.103145

Cited by 9 publications

(16 citation statements)

References 38 publications

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“…Their results were consistent with the findings in U.S. transit deserts in the periphery of the city. Additionally, there was a study in Seoul measuring transit demand as the density of individuals without vehicles and considering land use and other transit modes (e.g., city buses and metro) in transit supply [24].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Given this advantage, we applied it in European cases to explore whether it can work in European cases, and there are different findings from the cases in other regions. Furthermore, we intended to compare the transit equity in these European cases and concluded practical suggestions such as where the next focal point of transit investment should be and used the seven criteria as the transit supply and residents without vehicles as the transit demand [21,24]. Although there are limitations, this study can contribute to public transit planning from a macro level in Europe.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In measuring the transit deserts, first, we modified the transit-dependent population as the residents without access to personal vehicles. To quantify it, we introduced vehicle ownership rates of each region/city and calculated the non-vehicle persons by multiplying the non-vehicle rates and the number of residents referencing a published study [24]. Then, we calculated its density as transit demand.…”

Section: Data and Measurementsmentioning

confidence: 99%

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Are There Transit Deserts in Europe? A Study Focusing on Four European Cases through Publicly Available Data

Chen

Jiao

2022

Sustainability

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Public transit has been proven as an affordable travel method, while the inequitable distribution is a rising concern among practitioners and researchers. A transit desert, based on the demand and supply concept in measuring the mismatch in allocating the level of public transit service, has proved its ability to be applied in cases across countries. According to this concept, this study investigated transit deserts in four cases in Europe. Results indicate that the public transit system in Grand Paris and Madrid are superior due to a smaller population living in areas where public transit cannot meet the demand. Moreover, we noticed that the spatial distributions of transit deserts were significantly different, and the public transit accessibility of green spaces in Greater London and Madrid requires attention. These findings prove the potentials of the transit desert concept in generally evaluating and comparing the performance of different regional public transit systems which can guide the public transit investments by regional/cross-national agencies.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Data and Measurementsmentioning

confidence: 99%

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Are There Transit Deserts in Europe? A Study Focusing on Four European Cases through Publicly Available Data

Chen

Jiao

2022

Sustainability

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“…The orientation of the transit desert is tamed by historical planning policies and practices [ 9 ]. Existing studies in transit deserts have well investigated its existence around the globe [ 10 – 12 ]. However, they stay at the stage of identifying transit deserts and fail to examine the underlying cause of the resulting transit deserts.…”

Section: Introductionmentioning

confidence: 99%

“…However, they stay at the stage of identifying transit deserts and fail to examine the underlying cause of the resulting transit deserts. It is already known that transit deserts possess a greater number of disadvantaged populations than regions where transit supply surpasses demand [ 12 ]. Still, the studies hardly address the cause of transit deserts or reform an ambiguous dialogue that there’s an issue with the supply side [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Developing a transit desert interactive dashboard: Supervised modeling for forecasting transit deserts

Choi,

Jiao

2024

PLoS ONE

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Transit deserts refer to regions with a gap in transit services, with the demand for transit exceeding the supply. This study goes beyond merely identifying transit deserts to suggest actionable solutions. Using a multi-class supervised machine learning framework, we analyzed factors leading to transit deserts, distinguishing demand by gender. Our focus was on peak-time periods. After assessing the Support Vector Machine, Decision Tree, Random Forest, and K-nearest Neighbor, we settled on the Random Forest method, supported by Diverse Counterfactual Explanation and SHapley Additive Explanation in our analysis. The ranking of feature importance in the trained Random Forest model revealed that factors such as density, design, distance to transit, diversity in the built environment, and sociodemographic characteristics significantly contribute to the classification of transit deserts. Diverse Counterfactual Explanation suggested that a reduction in population density and an increase in the proportion of green open spaces would likely facilitate the transformation of transit deserts into transit oases. SHapley Additive Explanation highlighted the differential impact of various features on each identified transit desert. Our analysis results indicate that identifying transit deserts can vary depending on whether the data is aggregated or separated by demographics. We found areas that have unique transit needs based on gender. The disparity in transit services was particularly pronounced for women. Our model pinpointed the core elements that define a transit desert. Broadly, to address transit deserts, strategies should prioritize the needs of disadvantaged groups and enhance the design and accessibility of transit in the built environment. Our research extends existing analyses of transit deserts by leveraging machine learning to develop a predictive model. We developed a machine learning-powered interactive dashboard. Integrating participatory planning approaches with the development of an interactive interface could enhance ongoing community engagement. Planning practices can evolve with AI in the loop.

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Identifying temporal variations in accessibility inequity to healthcare services across different travel strategies

Gan,

Liang,

Yang

2024

Journal of Transport & Health

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Identifying spatiotemporal transit deserts in Seoul, South Korea

Cited by 9 publications

References 38 publications

Are There Transit Deserts in Europe? A Study Focusing on Four European Cases through Publicly Available Data

Are There Transit Deserts in Europe? A Study Focusing on Four European Cases through Publicly Available Data

Developing a transit desert interactive dashboard: Supervised modeling for forecasting transit deserts

Identifying temporal variations in accessibility inequity to healthcare services across different travel strategies

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