Azevedo Vanessa, Maia Rui Leandro, Guerreiro Maria João, Oliveira Gisela, Sani Ana, Caridade Sónia, Dinis Maria Alzira Pimenta, Estrada Rui, Paulo Daniela, Magalhães Mariana, Nunes Laura M
Permanent Observatory of Violence and Crime (OPVC) at UFP, University Fernando Pessoa (UFP), Porto, Portugal.
UFP Energy, Environment and Health Research Unit (FP-ENAS), University Fernando Pessoa (UFP), Praça 9 de Abril 349, Porto 4249-004, Portugal.
Data Brief. 2021 Nov 10;39:107560. doi: 10.1016/j.dib.2021.107560. eCollection 2021 Dec.
This article describes a curated dataset entitled "Looking at Crime: Communities and Physical Spaces", which comprises data from different sources, namely Diagnosis of Local Security (DLS), Diagnosis of School Environment (DSE) and observation of physical spaces. The main topic covered was crime and related variables at the Historic Centre of Porto (HCP), a well-known urban area located in the North of Portugal. It is currently attended by inhabitants, workers, students and tourists. This dataset includes i) data from two different self-reports: i.1) demographics, perception of (in)security, victimization, social control and community cohesion obtained through an inquiry applied to the adult community; and i.2) data from school climate and students behavioural problems, which may be seen as risk factors for juvenile delinquency, collected through a web-survey applied to school personnel; and ii) data from observation of physical spaces, attending to the Crime Prevention through Environmental Design (CPTED) principles. The dataset allows descriptive and inferential statistical analyses, being useful for students, academics, stakeholders, police forces and policy-makers, to better understand crime and its related variables, forecast criminal incidents, and further develop associated preventive and intervention programmes.
本文介绍了一个名为“审视犯罪：社区与物理空间”的精选数据集，该数据集包含来自不同来源的数据，即地方安全诊断（DLS）、学校环境诊断（DSE）以及对物理空间的观察。所涵盖的主要主题是位于葡萄牙北部的著名市区波尔图历史中心（HCP）的犯罪及相关变量。目前，该地区有居民、工人、学生和游客。这个数据集包括：i）来自两种不同自我报告的数据：i.1）通过对成年社区进行的一项调查获得的人口统计学、对（不）安全的认知、受害情况、社会控制和社区凝聚力；以及i.2）通过对学校工作人员进行的网络调查收集的学校氛围和学生行为问题数据，这些数据可能被视为青少年犯罪的风险因素；ii）来自对物理空间观察的数据，遵循通过环境设计预防犯罪（CPTED）原则。该数据集允许进行描述性和推断性统计分析，对学生、学者、利益相关者、警察部队和政策制定者有用，有助于更好地理解犯罪及其相关变量、预测犯罪事件，并进一步制定相关的预防和干预计划。
