How to analyse spatial distribution of crime? Crime risk indicator in an attempt to design an original method of spatial crime analysis

Lisowska-Kierepka, Agnieszka

doi:10.1016/j.cities.2021.103403

Cited by 12 publications

(5 citation statements)

References 2 publications

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“…At the time, criminal statistics were only being started, with relatively little data available. Agnieszka Lisowska's research has validated the use of cartographic statistical data to evaluate the existence and type of connections between crime and socioeconomic indicators, proving that the occurrence of crime in some locations is not a coincidence [11].…”

Section: Correlation Of Increase In Number Of Tourists and Increase I...mentioning

confidence: 98%

The Social Disorganization Theory Approach as a Crime Prevention Effort in Sumenep, Indonesia

Tolib Effendi,

Rusmilawati Windari,

Rayhan Afief Arfarizky

2023

TSSJ

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There was an increase in crime rates along with an increase in the number of tourism visitors in Sumenep Regency in the 2017-2019 period. The increase in crime rates mainly occurred in areas that have new high demand tourist objects. The increase in crime is mainly in several forms of crime that can be categorized as social pathology. The increase in crime in tourist sites can be viewed from the point of view of social disorganization theory, namely criminological theory which sees the relationship between crime and geography. This study uses a socio-legal research method that examines the correlation between an increase in the number of tourists and an increase in crime rates in Sumenep and attmpts to prevent crimes committed by the Sumenep Police by using a social disorganization theory approach. There is a concrete correlation between the increase in the number of tourist visitors and the increase in crime according to social disorganization theory, and secondary prevention is carried out by carrying out three prevention policies.

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Section: Correlation Of Increase In Number Of Tourists and Increase I...mentioning

confidence: 98%

The Social Disorganization Theory Approach as a Crime Prevention Effort in Sumenep, Indonesia

Tolib Effendi,

Rusmilawati Windari,

Rayhan Afief Arfarizky

2023

TSSJ

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“…Jednak do tej pory nie znajduje ona szerokiego zastosowania w badaniach geografii społeczno-ekonomicznej. zastosowanie autokorelacji Przestrzennej... Autokorelacja przestrzenna dotychczas była wykorzystywana najczęściej w badaniach przestępczości, w kontekście zależności przestrzennej miejsc dokonywania czynów kryminalnych (Mordwa 2011(Mordwa , 2013a(Mordwa , 2013bLisowska-Kierepka 2019, 2022. W literaturze można znaleźć również opracowania poświęcone przestrzennym analizom różnych wskaźników społeczno-ekonomicznych, np.…”

Section: Zarys Problemu W Literaturze Przedmiotuunclassified

Zastosowanie autokorelacji przestrzennej w badaniach migracji wewnętrznych

Długosz

2022

Pr. Geogr.

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The use of spatial autocorrelation in the study of internal migration Spatial redistribution of the population in Poland results in migration outflow from some units and migration inflow to others. The uneaven spatial distribution of this process results in different migration characteristics of communes in Poland. In the literature this issue has often been the subject of research and works in this area were based on traditional research methods, based on statistical data analysis. In the paper below the author describes the possibilities of conducting migration studies using spatial autocorrelation methods. The commonly used coefficients of migration turnover and migration efficiency were analysed using Moran’s global and local I statistics. The results obtained by the author lead to the conclusion that the application of spatial autocorrelation tools allows for a new perspective in the study of internal migration, making it possible to determine the spatial distribution of the phenomenon under study in spatial units, taking into account the situation in neighbouring units. The analysis with the use of spatial autocorrelation tools may replace or supplement the research methods used so far, mainly with regard to indicating clusters of high and low values of a given variable, which allows to identify clusters of a specific migration character. It also allows to unambiguously determine whether the similarity of municipalities in terms of migration behaviour is statistically significant or random. Additionally, the juxtaposition of the results with the conclusions drawn from the literature search also allowed for comparison with traditional methods of studying migration processes. Zarys treści: Redystrybucja przestrzenna ludności w Polsce powoduje odpływ migracyjny z jednych jednostek oraz napływ migracyjny do drugich. Nierównomierny rozkład przestrzenny tego procesu powoduje odmienną charakterystykę migracyjną gmin w Polsce. W literaturze zagadnienie to często było przedmiotem badań, a prace z tego zakresu bazowały na wykorzystaniu tradycyjnych metod badawczych opartych na analizie danych statystycznych. W poniższym opracowaniu autor opisuje możliwości prowadzenia badań migracyjnych, stosując metody autokorelacji przestrzennej. Powszechnie używane współczynniki obrotu migracyjnego oraz efektywności migracji zostały przeanalizowane z zastosowaniem statystyki globalnej i lokalnej I Morana. Uzyskane przez autora wyniki pozwalają stwierdzić, że stosowanie narzędzi autokorelacji przestrzennej umożliwia nowe spojrzenie w badaniach migracji wewnętrznych, ułatwiając określanie rozkładu przestrzennego badanego zjawiska w jednostkach przestrzennych przy uwzględnieniu sytuacji w jednostkach sąsiadujących z nimi. Analiza z wykorzystaniem narzędzi autokorelacji przestrzennej może zastępować lub uzupełniać dotychczas stosowane metody badawcze, głównie w zakresie wskazywania skupisk wysokich i niskich wartości danej cechy, co daje możliwość identyfikacji klastrów o określonym charakterze migracyjnym. Pozwala również jednoznacznie stwierdzić, czy podobieństwo gmin w zakresie zachowań migracyjnych jest istotne statystycznie czy też losowe. Dodatkowo zestawienie wyników z wnioskami płynącymi z kwerendy literatury umożliwiło też porównanie z tradycyjnymi metodami badań procesów migracyjnych.

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“…Only a few specialists have addressed the problem of evaluating the incidence of crime in a set of cities using a multicriteria approach (e.g., [6], [12], [13]). Instead, most have focused on identifying the factors that influence public insecurity in a city and their level of impact using a multidimensional statistical method (e.g., [14]- [16]. Among these works, some tend to assess the performance of various factors or schemes through a cost function, this function merges several measures that influence the public security in a city [17].…”

Section: Introductionmentioning

confidence: 99%

“… (Merida city) is the only city in the first rank of the ranking, while the ranking related to PSCC,14 A…”

mentioning

confidence: 99%

Multicriteria Decision Model to Support the Evaluation of Common Jurisdiction Violence in the Capital Cities of the States of Mexico

et al. 2023

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The capital cities of the states of the Mexican Republic present a considerable heterogeneity in terms of their level of public security, so their correct characterization is an essential requirement, but not sufficient, for the elaboration of public policies for the prevention of crimes in the common jurisdiction. In this paper, we propose a multicriteria decision model based on the hierarchical ELECTRE III method that assists in how a policymaker can carry out this task. The objective of the work is to measure and compare the incidence of crimes of common jurisdiction in the capital cities of the states of the Mexican Republic. This model compares public security in 31 capital cities, adapting the situation as a multicriteria ranking problem to order the different capitals by their level of public security. The results showed that the model could identify the level of comprehensive public security of a capital city compared to the rest. Similarly, it also shows the disparities of this phenomenon between capital cities in relation to high, medium and low impact crimes.

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How to analyse spatial distribution of crime? Crime risk indicator in an attempt to design an original method of spatial crime analysis

Cited by 12 publications

References 2 publications

The Social Disorganization Theory Approach as a Crime Prevention Effort in Sumenep, Indonesia

The Social Disorganization Theory Approach as a Crime Prevention Effort in Sumenep, Indonesia

Zastosowanie autokorelacji przestrzennej w badaniach migracji wewnętrznych

Multicriteria Decision Model to Support the Evaluation of Common Jurisdiction Violence in the Capital Cities of the States of Mexico

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