Pedestrian Crash Exposure Analysis Using Alternative Geographically Weighted Regression Models
| Autor: | Hamid Reza Behnood, Ramin Arvin, Seyed Ahmad Almasi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Economics and Econometrics
Traffic analysis Article Subject Computer science Strategy and Management Crash Pedestrian Poisson distribution symbols.namesake 0502 economics and business Statistics 0501 psychology and cognitive sciences Statistical dispersion Poisson regression 050107 human factors HE1-9990 050210 logistics & transportation TA1001-1280 Mechanical Engineering 05 social sciences Regression Computer Science Applications Spatial heterogeneity Transportation engineering Automotive Engineering symbols human activities Transportation and communications |
| Zdroj: | Journal of Advanced Transportation, Vol 2021 (2021) |
| ISSN: | 2042-3195 0197-6729 |
| Popis: | In order to develop a sustainable, safe, and dynamic transportation system, proper attention must be paid to the safety of pedestrians. The purpose of this study is to analyze the surrogate measures related to pedestrian crash exposure in urban roads, including the use of sociodemographic characteristics, land use, and geometric characteristics of the network. This study develops pedestrian exposure models using geographical spatial models including geographically weighted regression (GWR), geographically weighted Poisson regression (GWPR), and geographically weighted Gaussian regression (GWGR). In general, the results of the GWPR model show that the presence of a bus station, population density, type of residential use, average number of lanes, number of traffic control cameras, and sidewalk width are negatively associated with increasing the number of crashes. In this study, in order to identify traffic analysis zones (TAZ) based on the observed and predicted crash data, spatial distance-based methods using GWPR outputs have been used. This study shows the dispersion and density of pedestrian crashes without possessing the volume of pedestrians. Comparison of the performance of GWPR and Poisson models shows a significant spatial heterogeneity in the analysis. |
| Databáze: | OpenAIRE |
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