Spatial investigation of aging-involved crashes: A GIS-based case study in Northwest Florida

Ulak, Mehmet Baran; Özgüven, Eren Erman; Spainhour, Lisa K.; Vanli, O. Arda

doi:10.1016/j.jtrangeo.2016.11.011

Cited by 39 publications

(22 citation statements)

References 43 publications

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“…This suggests that older drivers are generally more cautious across all driving periods. Ulak et al [18] also found that factors related to visibility (such as lighting conditions) were negatively correlated with crash involvement for older drivers, possibly pointing to the reason why it was nonsignificant in this study. Weekend crashes were less severe than weekday crashes, as found in Uddin and Huynh [7].…”

Section: Environmental Characteristicsmentioning

confidence: 47%

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Age-Related Differences in Motor-Vehicle Crash Severity in California

Adebisi

Masaki

Sobanjo

2019

Safety

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With ongoing changes in the age distribution of drivers in the United States, it is important to obtain insights on how to make the roadways equally safe for drivers across different age groups. In light of this, the objective of this study is to examine various crash characteristics and make recommendations on how to potentially improve roadway safety for all age groups. Using the Highway Safety Information System (HSIS) data, this study investigates the factors influencing motor-vehicle crash injury severity for young (aged 16–25), middle-aged (aged 26–64), and older drivers (above 64) in the state of California. A multinomial logit model was used to separately model crashes involving each age group and to evaluate the weight of different predictor variables on driver injury severity. The predictor variables were classified into four—driver, roadway, accident and environmental characteristics. Results suggest that there are close relationships between severity determinants for young and middle-aged drivers. However, older drivers tend to be most cautious among all age groups under all environmental and roadway conditions. Young drivers are more likely to explore their driving skills due to newness to driving. Middle-aged drivers are familiar with driving and tend to demonstrate less cautious behaviors, especially male drivers. Another insight obtained from this study is that older driver behavior is less dynamic compared to other age groups; their driving pattern is usually regular regardless of the surrounding conditions.

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Section: Environmental Characteristicsmentioning

confidence: 47%

“…Specifically, age-related differences have been established. Ulak et al [18] analyzed crashes in northern Florida based on different age groups. The study found that older driver crashes totally differ from crashes involving other age groups, both spatially and temporally.…”

Section: Introductionmentioning

confidence: 99%

Age-Related Differences in Motor-Vehicle Crash Severity in California

Adebisi

Masaki

Sobanjo

2019

Safety

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“…The outcome of KDE, based on Euclidean distance over planer space, was found to be biased for location datasets over a network space, due to the over-estimation of crash clusters [24]. To overcome this limitation, a network-based KDE was developed and adopted in road network spaces to discern the crash patterns involving different age groups and severity levels [25,26].…”

Section: Spatial Analysis Of Crash Patternsmentioning

confidence: 99%

“…The tool iterates each crash location and uses it as the center point to generate a buffer with a user-defined radius distance (e.g., 200 m), and then selects and counts the crash points that are located entirely within the buffer. The search radii attempted by the authors include the ranges from 100 m to 300 m (with a 50 m incremental interval) for urban areas and the ranges from 800 m to 1000 m (with a 100 m incremental interval) for rural areas, by following the distance thresholds recommended by Thakali et al [16] and Ulak et al [26]. The results (in K percentage values) present the counts of adjacent crashes to a specific crash location in different cluster groups.…”

Section: K-nearest Neighbors (Knn)mentioning

confidence: 99%

Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions

Han

Zhang

2020

IJGI

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Adverse weather poses a significant threat to the serviceability of highway infrastructure, as it causes more frequent and severe crash incidents. This study focuses on evaluating the resilience of highway networks by examining the crash-induced safety impact in response to extreme weather events. Unlike traditional service drop-based methods for resilience evaluation, this study endeavors to evaluate highway resilience in a spatial context. Three spatial metrics, including K-nearest neighbors, proximity to highways, and Kernel density hot spot, are introduced and employed to compare and analyze the spatial patterns (magnitude and distribution) of crashes in pre- and post-weather conditions. An illustrative example is also provided to showcase the applications of the proposed spatial resilience metrics for two study areas in the State of Illinois, U.S. The contribution of this study is to provide transportation practitioners with a tool to evaluate highway spatial resilience both visually and quantitatively, and ultimately improve highway safety and operation.

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“…GIS spatial overlay analysis technology refers to the superposition for two or more sets of thematic features of graphics in the same region, the same scale and the same mathematical basis but different information; then according to the intersection of various elements and polygon boundary, or polygon properties to create a new feature layer with multiple attribute combinations [29] ( Fig. 2).…”

Section: Gis Spatial Overlay Analysis Technologymentioning

confidence: 99%

Quantifying Evaluation and Grading of Cultivated Land Fertility: A Case Study of Huaping, China

Yuan¹,

Yang²,

Chen³

2019

Pol. J. Environ. Stud.

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The level of cultivated land fertility (CLF) determines food production and quality directly. Therefore, research on evaluating CLF has always been a focus of attention in Chinese academia. Aiming at shortcomings of methods for evaluating CLF presently, this paper proposes an integrated method to evaluate and grade the CLF-adopted GIS, Delphi, analytic hierarchy process (AHP), fuzzy mathematics and comprehensive index model. Furthermore, based on data of the survey project of CLF in Huaping, this paper carried out an empirical study using this method. The result demonstrates that the methods are more scientific and reliable. This is reflected in the following aspects: First, the process of evaluation and grading of CLF is combined with qualitative analysis and quantitative analysis, which make the results more close to the objective reality. Second, the results of the evaluation and grading not only achieved a match between quantitative expression and spatial visualization, but also demonstrated the differences of CLF in quantity and space. Through this study, we hope that this method can further enrich the theory and technology of CLF evaluation to some extent, and also provide a good reference for similar study in other regions.

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Spatial investigation of aging-involved crashes: A GIS-based case study in Northwest Florida

Cited by 39 publications

References 43 publications

Age-Related Differences in Motor-Vehicle Crash Severity in California

Age-Related Differences in Motor-Vehicle Crash Severity in California

Evaluation of Spatial Resilience of Highway Networks in Response to Adverse Weather Conditions

Quantifying Evaluation and Grading of Cultivated Land Fertility: A Case Study of Huaping, China

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