测绘学报(英文版) ›› 2022, Vol. 5 ›› Issue (2): 19-28.doi: 10.11947/j.JGGS.2022.0203

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  • 收稿日期:2021-10-11 接受日期:2022-01-02 出版日期:2022-06-20 发布日期:2022-07-22

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

Zhuo LIU1(),Hui LIN1,2(),Qinghua HE1,2,Yuling WANG1   

  1. 1. School of Geography and Environment/UNESCO HIST-NB, Jiangxi Normal University, Nanchang 330022, China
    2. Key Laboratory of Poyang Lake Wetland and Watershed research Ministry of Education, Nanchang 330022, China
  • Received:2021-10-11 Accepted:2022-01-02 Online:2022-06-20 Published:2022-07-22
  • Contact: Hui LIN E-mail:lz1129@jxnu.edu.cn;huihin@cuhk.edu.hk
  • About author:Zhuo LIU(1996—), male, majors in criminal geography, spatial integrated humanities and social science research. E-mail: lz1129@jxnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(U1811464)

Abstract:

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: crime, geography:, temporal-spatial, distribution:, spatial, analysis:, special, wards, of, Tokyo