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A Study on the Influence of the Space Syntax and the Urban Characteristics on the Incidence of Crime Using Negative Binomial Regression
Author(s) -
Hyeong Jun Kim,
Yeol Choi
Publication year - 2016
Publication title -
journal of the korean society of civil engineers
Language(s) - English
Resource type - Journals
eISSN - 2287-934X
pISSN - 1015-6348
DOI - 10.12652/ksce.2016.36.2.0333
Subject(s) - space syntax , negative binomial distribution , syntax , statistics , incidence (geometry) , binomial regression , econometrics , mathematics , regression analysis , regression , space (punctuation) , geography , computer science , artificial intelligence , poisson distribution , geometry , operating system
The aim of this study is to specifically understand the characteristics of the crime by empirical analysis for the determining factors that affect determining the crime through the space syntax in Busan. In this study, poisson regression and negative binomial regression were used for accurate analysis. 8 variables that were significant of the total 13 variables. The summary if this study based on the results is as follow. Statistically significant variables are female ratio, over 65 population ratio, administration are and commercial area ratio in characteristics. And the more CCTVs a region has, the lower crime rate it shows. As a results of examing whether space syntax variables can predict crime occurrence places. Space with low connectivity come to be a crime causal factor because they have few other related spaces and thereby have low possibility of sudden appearance of interrupters, which results in low surveillance levels of foot passengers. It will provide the basic data that can contribute to urban planning and implementation of crime prevention aspects.

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