The local spatial autocorrelation and the kernel method for identifying black zones

Flahaut, Benoît; Mouchart, Michel; Martı́n, Ernesto San; Thomas, Isabelle

doi:10.1016/s0001-4575(02)00107-0

Cited by 196 publications

(123 citation statements)

References 20 publications

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“…LaScala et al (2000) found that significant spatial relationships exist between specific environmental and demographic characteristics of the City and County of San Francisco and pedestrian injury crashes. Flahaut et al (2003) presented different methods for identifying and delimiting accidents black-zones. This was an application of spatial correlation in defining accident blackzones which share similar characteristics.…”

Section: Introductionmentioning

confidence: 99%

Application of Geographically Weighted Regression Technique in Spatial Analysis of Fatal and Injury Crashes

et al. 2014

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Section: Introductionmentioning

confidence: 99%

Application of Geographically Weighted Regression Technique in Spatial Analysis of Fatal and Injury Crashes

et al. 2014

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“…A well-established method used to identify spatial patterns is kernel density, which calculates the density of events around each point, scaled by the distance from the point to each event. Kernel density describes a smooth and continuous surface map of risk targets because a discrete density surface is made continuously by interpolation (Flahaut 2003). Therefore, this method can compensate for a paucity of data.…”

Section: Multivariable Statistical Clusteringmentioning

confidence: 99%

GIS-based regional assessment of seismic site effects considering the spatial uncertainty of site-specific geotechnical characteristics in coastal and inland urban areas

Sun

Kim

2017

Geomatics, Natural Hazards and Risk

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Earthquake-induced hazards are profoundly affected by site effects related to the amplification of ground motions, which are strongly influenced by site-specific geologic conditions such as soil thickness, bedrock depth and soil stiffness. Seismic disasters are often more severe in coastal or riverside locations than over stiff soils or rocks due to differences in local site effects. In this study, a recently developed geographic information system-based framework was applied in coastal and inland urban areas in Korea, and its applicability for regional assessments was evaluated using appropriate geostatistical zonation of site-specific seismic site effects. The proposed framework was composed of four functional components: multivariable statistical clustering, geostatistical optimization, geotechnical analysis, and local visualization. The framework was applied in the Seoul and Busan areas of Korea for consideration of site effects in inland and coastal urban areas. Such zones of thick soil, or with a deep depth to bedrock, are susceptible to ground motion amplification due to site effects during earthquakes. The earthquake losses associated with possible building damage can be estimated based on spatial zoning maps considering geological and topographical characteristics and by a comparison of the spatial correlations of seismic site classes between inland and coastal areas of Korea.

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“…이러한 사업을 진행할 때, 어떤 지점에 안전 대책을 우 선적으로 수립하여야 교통안전을 크게 개선할 수 있는지 파 악하는 것은 매우 중요하다 (Khan et al, 2008). 많은 연구들이 교통사고 핫스팟 선정에 KDE를 사용하였 으며 (Anderson, 2009;Flahaut et al, 2003;Plug et al, 2011;Prasannakumar et al, 2011;Truong and Somenahalli, 2011;Vemulapalli, 2015), 일부 연구들은 KDE를 시행하여 보행자 사고 핫스팟을 선정하였다 (Blazquez and Celis, 2013;Jang et al, 2013;Loo et al, 2011;Pulugurtha et al, 2007;Rankavat and Tiwari, 2013 일부 연구들은 Getis-ord Gi*를 시행하여 교통사고 핫스팟 을 선정하였다 (Khan et al, 2008;Kingham et al, 2011;Kuo et al, 2011;Manepalli et al, 2011;Vemulapalli, 2015). 특히, Getis-ord Gi*를 사용한 기존 연구들은 Getis-ord Gi*로 …”

Section: 서 론unclassified

A Selection of High Pedestrian Accident Zones Using Traffic Accident Data and GIS: A Case Study of Seoul

양종현¹,

김정옥²,

유기윤³

2016

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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To establish objective criteria for high pedestrian accident zones, we combined Getis-ord Gi* and Kernel Density Estimation to select high pedestrian accident zones for 54,208 pedestrian accidents in Seoul from 2009 to 2013. By applying Getis-ord Gi* and considering spatial patterns where pedestrian accident hot spots were clustered, this study identified high pedestrian accident zones. The research examined the microscopic distribution of accidents in high pedestrian accident zones, identified the critical hot spots through Kernel Density Estimation, and analyzed the inner distribution of hot spots by identifying the areas with high density levels.Keywords: Pedestrian Accident, Hotspot, Getis-ord Gi*, Kernel Density Estimation This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

show abstract

The local spatial autocorrelation and the kernel method for identifying black zones

Cited by 196 publications

References 20 publications

Application of Geographically Weighted Regression Technique in Spatial Analysis of Fatal and Injury Crashes

Application of Geographically Weighted Regression Technique in Spatial Analysis of Fatal and Injury Crashes

GIS-based regional assessment of seismic site effects considering the spatial uncertainty of site-specific geotechnical characteristics in coastal and inland urban areas

A Selection of High Pedestrian Accident Zones Using Traffic Accident Data and GIS: A Case Study of Seoul

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