Investigating proximity of crash locations to aging pedestrian residences
| Autor: | Angela E. Kitali, Henrick J. Haule, Thobias Sando, Robert D. Richardson |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Male
Human Factors and Ergonomics Crash Pedestrian Generalized linear mixed model Transport engineering Residence Characteristics Risk Factors Traffic volume 0502 economics and business Humans 0501 psychology and cognitive sciences Safety Risk Reliability and Quality Recreation 050107 human factors Aged Pedestrians Spatial Analysis 050210 logistics & transportation 05 social sciences Accidents Traffic Public Health Environmental and Occupational Health social sciences Geography Work (electrical) Florida Linear Models Wounds and Injuries Female Residence human activities |
| Zdroj: | Accident Analysis & Prevention. 122:215-225 |
| ISSN: | 0001-4575 |
| DOI: | 10.1016/j.aap.2018.10.008 |
| Popis: | Many campaigns promote walking for recreation, work, and general-purpose trips for health and environmental benefits. This study investigated factors that influence the occurrence of crashes involving elderly pedestrians in relation to where they reside. Using actual pedestrian residential addresses, a Google integrated GIS-based method was developed for estimating distances from crash locations to pedestrian residences. A generalized linear mixed model (GLMM) was used to evaluate the effect of factors associated with residences, such as age group, roadway features, and demographic characteristics on the proximity of crash locations. Results indicated that the proximity of crash locations to pedestrian residences is influenced by the pedestrian age, gender, roadway traffic volume, seasons of the year, and pedestrian residence demographic characteristics. The findings of this study can be used by transportation agencies to develop plans that enhance aging pedestrian safety and improve livability. |
| Databáze: | OpenAIRE |
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