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Accid Anal Prev. 2018 Oct;119:104-113. doi: 10.1016/j.aap.2018.07.005. Epub 2018 Jul 14.

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

Author information

1
Interdisciplinary Program in Landscape Architecture, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, Republic of Korea. Electronic address: yunwon.choi@snu.ac.kr.
2
Department of Landscape Architecture and Rural Systems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-921, Republic of Korea; Research Institute of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-921, Republic of Korea. Electronic address: hyyoon@snu.ac.kr.
3
Research Institute of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-921, Republic of Korea. Electronic address: jea0610@snu.ac.kr.

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.

KEYWORDS:

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

PMID:
30015169
DOI:
10.1016/j.aap.2018.07.005
[Indexed for MEDLINE]

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