Literature DB >> 30015169

Do Silver Zones reduce auto-related elderly pedestrian collisions? Based on a case in Seoul, South Korea.

Yunwon Choi1, Heeyeun Yoon2, Eunah Jung3.   

Abstract

Inaugurated in 2007, in Seoul, South Korea, the Silver Zone is a designated pedestrian safety zone for the elderly that adopts speed limit measures such as traffic signage and road surface markings. In this study, we empirically investigate the effectiveness of the Silver Zone in two respects: first, whether the establishment of the Silver Zone has lowered the number of elderly pedestrian collisions, and second, whether Silver Zones are established in the appropriate areas, that is, those with the highest frequency of such collisions. From our quasi-experimental statistical analysis, Difference-in-Difference, we learn that the Silver Zone has no effects on reducing elderly pedestrian collisions. From our spatial statistical analyses-Kernel Density mapping and Bivariate Moran's I-we found a spatial mismatch between the frequency of senior pedestrian-vehicular collisions and the location of Silver Zones. For better performance of the Silver Zone system, we suggest additional types of physical measures to be integrated into the Silver Zone system. Municipal-level comprehensive master plan for Silver Zone system is also necessary, under which local governments should use periodic surveys to inventory and prioritise the locations of highest elderly pedestrian-vehicular collisions.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Bivariate Moran’s I; Difference-in-difference; Generalised linear model; Kernel density mapping; Pedestrian safety; Silver Zone

Mesh:

Year:  2018        PMID: 30015169     DOI: 10.1016/j.aap.2018.07.005

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

1.  Area-Wide Traffic-Calming Zone 30 Policy of Japan and Incidence of Road Traffic Injuries Among Cyclists and Pedestrians.

Authors:  Haruhiko Inada; Jun Tomio; Shinji Nakahara; Masao Ichikawa
Journal:  Am J Public Health       Date:  2019-12-19       Impact factor: 9.308

2.  A Multilevel Model Approach for Investigating Individual Accident Characteristics and Neighborhood Environment Characteristics Affecting Pedestrian-Vehicle Crashes.

Authors:  Seunghoon Park; Dongwon Ko
Journal:  Int J Environ Res Public Health       Date:  2020-04-29       Impact factor: 3.390

3.  Interventions to reduce pedestrian road traffic injuries: A systematic review of randomized controlled trials, cluster randomized controlled trials, interrupted time-series, and controlled before-after studies.

Authors:  Stellah Namatovu; Bonny Enock Balugaba; Kennedy Muni; Albert Ningwa; Linda Nsabagwa; Fredrick Oporia; Arthur Kiconco; Patrick Kyamanywa; Milton Mutto; Jimmy Osuret; Eva A Rehfuess; Jacob Burns; Olive Kobusingye
Journal:  PLoS One       Date:  2022-01-24       Impact factor: 3.240

  3 in total

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