 C u R ban I s ME: A Photographic Self-Analysis to Evaluate the Likelihood of the Occurrence of Predatory Crimes in Downtown HamburgRomina Fucà and
Serena Cubico
Sustainability, 2020, vol. 12, issue 19, 1-29 Abstract: In this study, a triangulation of (a) spatial data, (b) self-awareness, and (c) behavioral self-analysis seeks to provide an explanation from an innovative perspective for the likelihood of the occurrence of predatory crimes in the city center. This study does not examine the circumstances in which criminal acts occur. Instead, it focuses on a broader concept that combines both the configurational factors and the behavioral interconnections in which criminal acts occur. We orient the occurrence probability of crime towards appropriate objectives in the presence or absence of attractors/detractors, with interesting variation in the behavior of the acting subject—in our case, a random walker (also called the Random Movement–displacement Agent, or RDMA, in the text), which is the key variable that triggers the occurrence probability of predatory crimes. The relationship between spatial and/or behavioral observations and the probability of the crimes that may result from such observations is limited in this text to “predatory crimes,” which are the most common and light forms of crimes that endanger both human quality of life and the related safety in the city. Such crimes include theft, damage (specifically crime against public property and all similar offensive acts, such as littering and incivility), physical attacks (restrained to attempted violence against defenseless people), robberies, and car thefts (i.e., the most frequent crimes in urban areas). The theory of complexity, specifically as illustrated by the in-depth work of the 20th century German sociologist Niklas Luhmann, also suggests the importance of self-analysis in specific contexts to construct a mosaic of social phenomena. We conducted both a behavioral self-survey and a metric-based self-analysis by measuring random walks (RWs) to achieve some common behaviors—for example, buying food, shopping, or just looking at shop windows—on the streets of downtown Hamburg, Germany. RWs are used in our article to indicate random walks in the city center and any activities that may arise from them, such as protecting oneself from potentially hostile contexts, seeking information, or conforming oneself to official signals and customs. The hundreds of images taken by us in October 2019 during their RWs in Hamburg form a reservoir of our pictures, with the aim of showing the acceptable patterns of random movements–displacements that emerge. This method was primarily discursive but based on the ongoing search for a transformative conduit of behaviors that were intuitively established and observable for us but actually involved a complex process of imaginative ideation that was impossible to promote and pass on to the reader. Keywords: calculation of the likelihood of occurrence of predatory crimes; Tobler’s law as an extension of Fotheringham et al.; Luhmann’s systemic perspective; elements of spatial knowledge of geometry; focal points; elements of probability; Random Movement–displacement Agent (RMDA); photographic methods; behavioral self-investigation; transformation of imaginative ideation into quantitative metrics (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:19:p:7859-:d:417888 Access Statistics for this article Sustainability is currently edited by Ms. Alexandra Wu More articles in Sustainability from MDPI |
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