Socioeconomic characteristics and crash injury exposure: A case study in Florida using two-step floating catchment area method

Kocatepe, Ayberk; Ulak, Mehmet Baran; Özgüven, Eren Erman; Horner, Mark W.; Arghandeh, Reza

doi:10.1016/j.apgeog.2017.08.005

Cited by 25 publications

(14 citation statements)

References 38 publications

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“…For example, night-light data could be upgraded for the latest population distribution; residents’ spatial preferences could be investigated under different cultural contexts and for different healthcare demands; and real-time traffic data could be calculated via different traffic choices and for different time periods to generate additional temporal pattern estimations. A variety of socioeconomic factors, including residents’ demographic characteristics, the built environment and other local features should be considered in future studies [32]. Within the metropolitan area there is an increasing number of private hospital and rehabilitation institutions providing different types and levels of healthcare services.…”

Section: Discussionmentioning

confidence: 99%

Spatial Equity of Multilevel Healthcare in the Metropolis of Chengdu, China: A New Assessment Approach

Zhang

Song

Wei

et al. 2019

IJERPH

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The spatial equity of the healthcare system is an important factor in assessing how the different medical service demands of residents are met by different levels of medical institutions. However, previous studies have not paid sufficient attention to multilevel healthcare accessibility based on both the divergence of hierarchical healthcare supplies and variations in residents’ behavioral preferences for different types of healthcare. This study aims to propose a demand-driven “2R grid-to-level” (2R-GTL) method of analyzing the spatial equity in access to a multilevel healthcare system in Chengdu. Gridded populations, real-time travel distances and residents’ spatial behavioral preferences were used to generate a dynamic and accurate healthcare accessibility assessment. The results indicate that significant differences exist in the spatial accessibility to different levels of healthcare. Approximately 90% of the total population living in 57% of the total area in the city can access all three levels of healthcare within an acceptable travel distance, whereas multilevel healthcare shortage zones cover 42% of the total area and 12% of the population. A lack of primary healthcare is the most serious problem in these healthcare shortage zones. These results support the systematic monitoring of multilevel healthcare accessibility by decision-makers. The method proposed in this research could be improved by introducing nonspatial factors, private healthcare providers and other cultural contexts and time periods.

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Section: Discussionmentioning

confidence: 99%

Spatial Equity of Multilevel Healthcare in the Metropolis of Chengdu, China: A New Assessment Approach

Zhang

Song

Wei

et al. 2019

IJERPH

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“…The 2SFCA method has been widely applied in studies on the spatial accessibility of public service facilities and various extensions of the 2SFCA method have been proposed. These extensions can be divided into four classes [17]: the extensions improving the distance decay function [29][30][31], competition effect of supply and demand [32,33], measurement of travel cost [28,34] and calculation of catchment sizes [35,36]. However, there have been relatively fewer studies on shelter accessibility based on the 2SFCA method [37,38].…”

Section: Gravity Modelmentioning

confidence: 99%

“…However, there are still some issues that could be studied further. First, there are various extensions of the 2SFCA method for calculating health care accessibility by optimizing the distance-decay function [29][30][31] or competition effect of supply and demand [32,33], such as the 2SFCA method based on distance-decay [29] and 3SFCA method [32]. Although the method proposed in this paper applies the Gaussian equation to describe distance decay, it needs to be further studied on how to identify the proper distance-decay function and the competition effect of supply and demand for shelter accessibility.…”

Section: Possibilities For Prospective Researchmentioning

confidence: 99%

An Improved Two-Step Floating Catchment Area Method for Evaluating Spatial Accessibility to Urban Emergency Shelters

et al. 2018

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As an important component of urban disaster prevention and mitigation systems, the balance and equity of emergency shelter distribution can be measured based on spatial accessibility utilizing the two-step floating catchment area (2SFCA) method. However, there are some issues in previous studies on emergency shelter accessibility evaluated by the 2SFCA method: (1) the high discretization of population distribution data and the travel cost being measured base on Euclidean distance; (2) ignoring the difference between shelter and population catchment sizes. To address these issues, we propose an improved 2SFCA method that computes the shelter and population catchments respectively to evaluate the emergency shelter accessibility in Changchun, China. We compare the proposed improved 2SFCA method to the original 2SFCA method. The results indicate that the catchment size and shelter accessibility calculated by the proposed method are more realistic and objective. The improved 2SFCA method is applicable method for evaluating the shelter accessibility and can provide advice for the planning and management of emergency shelters in the future.

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“…They found significantly higher incidences of pedestrian‐vehicle crashes in these areas than the rest of the metropolitan area. Kocatepe et al () found that African‐Americans under 17 years old were more exposed to pedestrian crashes in a certain part of Pasco County than other groups of people. In the same study, college‐aged (18–21) African‐Americans living below the poverty level were similarly more exposed to pedestrian crashes in another part of the county, introducing the possibility of additional underlying spatial phenomenon in these geographic areas.…”

Section: Introductionmentioning

confidence: 99%

An analysis of pedestrian crashes using a spatial count data model

Apardian

Smirnov

2020

Papers in Regional Science

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We develop a methodology to analyze pedestrian crash frequency in relation to neighborhood characteristics and exposure to traffic using a spatial count data model with a Poisson framework that is expanded to consider spatial factors, a methodological innovation. We also develop and apply a methodology for defining urban boundaries in mid‐sized metropolitan areas, following the functionality of the urban area. These methodologies are applied to a case study. The case study identifies specific neighborhood sociodemographic characteristics associated with higher pedestrian crash frequencies. It also finds vehicle exposure to be insignificant. Results suggest that neighborhood‐level planning policies may best address pedestrian crashes.

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Socioeconomic characteristics and crash injury exposure: A case study in Florida using two-step floating catchment area method

Cited by 25 publications

References 38 publications

Spatial Equity of Multilevel Healthcare in the Metropolis of Chengdu, China: A New Assessment Approach

Spatial Equity of Multilevel Healthcare in the Metropolis of Chengdu, China: A New Assessment Approach

An Improved Two-Step Floating Catchment Area Method for Evaluating Spatial Accessibility to Urban Emergency Shelters

An analysis of pedestrian crashes using a spatial count data model

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