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Classification of Service Functions in the Life Circle of Beijing Subway Line 7

Journal of Landscape Research 2024年第4期16卷 21-26页

作者： SUN Shuai XIANG Zixiong North China University of Technology Beijing 100144China

As a key node for the surrounding area,metro stations are closely connected with the surrounding urban space and develop *** types of metro stations have differences in land use and functional *** paper mainly used the methods of Tyson polygon,kernel density analysis and correlation analysis,based on POI data,to classify the stations of Beijing Metro Line *** paper made a detailed analysis of commercial subway stations,and analyzed the distribution characteristics of commercial metro stations on Line 7.

关键词： POI data kernel density analysis Correlation analysis Function analysis around metro station

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GIS-based spatial analysis of urban traffic accidents： Case study in Mashhad, Iran

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Journal of Traffic and Transportation Engineering(English Edition) 2017年第3期4卷 290-299页

作者： Gholam Ali Shafabakhsh Afshin Famili Mohammad Sadegh Bahadori Department of Civil Engineering Semnan University Semnan Iran Glenn Department of Civil Engineering Clemson Unioersity Clemson SC 29634 USA Instituto Superior Tecnico University of Lisbon Lisbon 1600-276 Portugal

There is a growing concern in traffic accident rate in recent years. Using Mashhad city （Iran second populous city） traffic accident records as case study, this paper applied the combi- nation of geo-information technology and spatial-statistical analysis to bring out the influence of spatial factors in their formation. The aim of the study is to examine 4 clustering analyses to have a better understanding of traffic accidents patterns in complex urban network. In order to deploy the clustering technique in urban roads, 9331 point features for inner city traffic accidents during 12 months have been registered according to their x and y location in geographic information system （GIS）. The mentioned areas were analyzed by kernel density estimation （KDE） using ARCMAP and two other analyses using SANET 4th edition software so that the results of network analysis can be compared with traditional KDE method. In addi- tion, this research introduces five classifications for determining the eventfulness of the under study area based on standard deviation and to make priority in creating security in the area. The nearest neighbor and K-function output analysis consist of four curves and regarding the fact that for all fatal, injury and property damage only crashes, the observed value curve is above the 5% confidence interval. Accidents in the study region are more clustered than ex- pected by random chance. The importance of this study is to use GIS as a management system for accident analysis by combination of spatial-statistical methods.

关键词： Traffic accidents Hotspots kernel density analysis Nearest neighbor K-function

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