Analysis of Geographical Distribution of Missing Children Based on the Missing Children Mobile GIS Mutual Assistance System of China

Gong, Xiaodong; Cheng, Hao; Yang, Lu; Duan, Yueming; Yao, Yuan; Feng, Yafei; Fu, Le; Liu, Jianhua; Du, Mingyi

doi:10.4236/gep.2017.512009

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Over the last few years, there have been global improvements to the way in which missing persons are recorded, with a concomitant increase in the overall number of recorded missing persons (Ferguson & Soave, 2020;Gong et al, 2017;National Crime Agency, 2016;National Crime Information Center-FBI, 2017;Stevenson & Thomas, 2018;Todorovi c & Butorac, 2017). In Spain, the Spanish National Centre of Missing Persons (CNDES), which depends on the Spanish Ministry of Interior, is the central authority in charge of the effective and continuous coordination of the "Sistema de Personas Desaparecidas y Restos Sin Identificar" (PDyRH system).…”

Section: Introductionmentioning

confidence: 99%

Behavioural themes in Spanish missing persons cases: An empirical typology

García-Barceló

Álvarez

Woolnough

et al. 2020

Journal Invest Psychology

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The high number of missing person reports that occur globally each year highlights the need for research in this academically neglected field. This research focuses on establishing whether there are different scenarios or behavioural themes that consistently appear in missing person cases in Spain, which could assist the police investigation process. A representative sample of 341 missing person police reports was collated and up to 27 behaviours, which occur during the disappearance, have been codified, as well as circumstances surrounding the case. Through multidimensional scaling four behavioural themes have been identified: intentional-escape, intentional-dysfunctional, unintentional-accidental, and forced-criminal. These findings entail implications, both in terms of prevention and in the scope of police investigations. Specifically, this research is considered a key step in the development of: (a) a predictive risk assessment system for harmed or deceased outcomes, and (b) in-depth review of forced-criminal disappearances that concur with homicide.

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Section: Introductionmentioning

confidence: 99%

Behavioural themes in Spanish missing persons cases: An empirical typology

García-Barceló

Álvarez

Woolnough

et al. 2020

Journal Invest Psychology

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“…Because the kernel density estimation method does not use the prior knowledge of data distribution and does not attach any assumptions to the data distribution, it is a method to study the characteristics of data distribution from the data sample itself (Gong et al, 2017). So that the kernel density analysis algorithm (Fu, Li, Yang et al, 2015;Shen & Guo, 2014) is used to analyze the urban management cases data.…”

Section: Methodsmentioning

confidence: 99%

The Spatial Distribution Pattern Analysis of City Infrastructure Cases of Urban Management

Hou¹,

Liu²,

Li³

et al. 2018

GEP

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The effective disposal of daily city infrastructure cases is an important issue for urban management. To more effectively utilize a large amount of historical cases data collected and accumulated in the urban grid management system, and to analyze their spatial distribution pattern information for city managers, this study used the comparative kernel density analysis method in two types of cases (i.e. power facilities and traffic guardrail) in Xicheng District, Beijing for the year 2016 and 2017. This research analyzes them at different scales (300 m, 600 m, 1,200 m), and the experiment results show that the method of comparative kernel density analysis is able to provide an intuitively spatial visualization distribution analysis of city infrastructure related cases. The quantitative information of spatial agglomeration degree is helpful for city managers making decision.

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Is It Possible to Estimate Spanish Missing Person’s Forced and Fatal Outcomes Cases Using Socio-demographic Data? Gender, Age and Nationality

García-Barceló

Córcoles

Menéndez

et al. 2022

Eur J Crim Policy Res

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Although research on missing persons has globally increased during the past few years, most of the studies conducted have focused on the description of socio-demographic and situational factors associated with this phenomenon. The aim of this study is to explore in-depth the relation between missing person’s socio-demographic factors and missing person’s typology and outcomes. A full 1-year sample of police recorded missing persons (n = 24,284) was extracted from the Spanish ‘Missing Persons and Unidentified Human Remains (PDyRH)’ system and a multivariate statistical approach was used. The findings of this research show that, although nationality and gender are mainly important from a descriptive level, age is the socio-demographic variable that better classifies the typology and outcome of missing person cases. These findings suggest that age is a modulating variable of this phenomenon. Thus, there is a need for the conduction of research for each specific age group focused on identifying psychosocial, criminological and geographical risk factors which could explain missing person case outcomes from a multifaceted approach. Considering previous research in the field, the findings of this research are mostly consistent with these previous studies and entail different implications, both at prevention level and in the scope of police investigations.

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Analysis of Geographical Distribution of Missing Children Based on the Missing Children Mobile GIS Mutual Assistance System of China

Cited by 4 publications

References 11 publications

Behavioural themes in Spanish missing persons cases: An empirical typology

Behavioural themes in Spanish missing persons cases: An empirical typology

The Spatial Distribution Pattern Analysis of City Infrastructure Cases of Urban Management

Is It Possible to Estimate Spanish Missing Person’s Forced and Fatal Outcomes Cases Using Socio-demographic Data? Gender, Age and Nationality

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