江西师范大学—林珲教授团队 l 空间人文与社会地理计算专刊

原创 JGGS 智绘科服

🔷Title l 题目

Temporal-spatial Distribution of Various Types of Crime in the Special Wards of Tokyo

🔷Citation l 引文格式

Zhuo LIU,Hui LIN,Qinghua HE,Yuling WANG. Temporal-spatial Distribution of Various Types of Crime in the Special Wards of Tokyo[J]. Journal of Geodesy and Geoinformation Science, 2022, 5(2): 19-28.

🔷Abstract l 摘要

Based on the official criminal data released by the Tokyo Metropolitan Police Department in 2019, this paper discusses the temporal-spatial distribution of various types of crimes in the special wards of Tokyo. The results show that: ① The times of high and low incidence of different types of crime differ significantly. Although vicious crime and violent crime present no obvious monthly distribution, property crime clearly differs between the first and second half of a calendar year. ② The month before the new year sees a surge in most types of crime. ③ Vicious crime peaks in the hours between night and early morning. Violent crime and property crime correlate positively with the frequency of human interaction and peak in the morning and evening commuting hours. ④ The spatial distribution of crime resembles the concentric circles of the three rings of the special wards of Tokyo, with a central high-incidence area, a center-peripheral low-incidence area, and a marginal high-incidence area. In addition, the center sees more personal crime than the periphery, whereas property crimes show the opposite trend. ⑤ A spatial autocorrelation analysis shows that the special wards of Tokyo may be grouped into the “high-high” and “low-low” agglomeration modes of different types of crime, with marked differences between the various types of crime. The crime can be divided into three types: central agglomeration, double central agglomeration, and decentralized agglomeration.

🔷Key Words l 关键词

crime; geography; temporal-spatial; distribution; spatial; analysis; special wards of Tokyo

🔷Authors l 作者

Zhuo LIU,Hui LIN,Qinghua HE,Yuling WANG.

🔷全文摘录如下