Ritualization operated by analyzing macro-sectors in a city (e.g., neighborhoods) has concluded irreversibly for condemning some dilapidated areas instead of others. Taking its cue from the scenario of the 17 Sustainable Development Goals, particularly Goal 11-Make cities inclusive, safe, resilient and sustainable (United Nations)-the realized analysis links a sustainable urban design with the citizens' role in the city in a particular urban landmark, the "local town market area" (LTMA), with a focus on developing the well-being of the local community, also referred to as the psychology of sustainability and sustainable development. Principal methods of inquiry used, along a geospatial Google-driven investigation, were self-observation and self-assessment, which reflect both the study of self-organizing systems in the context of complexity and systemic theory, choosing to detect the spatial state of a specific area, as it has neither official nor institutional boundaries. The approach to crime prevention through environmental design (CPTED) is therefore discussed through the maximizing of the LTMA functional urban unit in Enna, Sicily, to reach the idea of a community that is innovative and participatory.Keywords: sustainable urban environment; psychology of sustainability and sustainable development; systems theory; self-organizing systems; spatial crime attractors and detractors; geospatial investigation Google-driven; areas with no institutional boundaries; quadrant counts method
The location of this research is the university, through which we are progressively channeled into a seemingly insoluble Gordian knot. What is our participation in the university and what cultural and human commitments inform this participation? More trivially, what rights and duties does the individual acquire or lose within his or her academic identities? Our main target was finding an ideal organizational practice to examine, such as an emergency event. What strategy can the university adopt? Can it realign its distortions and retain its resources? How and in what ways? What information is needed for this purpose? Which actors are relevant in this process? A systemic survey model is, therefore, presented to analyze data obtained from a sample of 200 respondents from various academic groups, including students, professors, administrative staff, and other stakeholders. Quotas were used for the primary challenge posed by the pictures representing dimensions according to a systemic schema of organizational effectiveness (OE). Respondents were then asked to judge the dimensions and pictures against their personal capacity for intellectual identity, functionalism, and materialism. During the test, the participants were expected to develop their capacity to approach phenomenal consciousness and the search for its neural correlates, thereby becoming familiar with the high-order demands and challenges posed by the current information available to them. A nine-item interval behaviorally anchored rating scale (BARS) was used to develop a systemic matrix that could show the participants’ collective OE when an emergency event occurs at the university. This study aims to stimulate a broader investigation into the preparation of programs and plans that should be a priority today in the context of sustainability in educational institutions, thereby setting useful thresholds on decision-making paths. To develop the collective model, a matrix generated by each respondents’ dimensional modal values (DMVs) in the test and the overall samples’ modal values (OMMVs) were used. Borrowing from Luce’s theory of probability, we analyzed the similarity of the OE university matrix from the results in descending order, restricting our attention to modal values which were chosen for the test and demonstrate how the learning model was formulated to assume that each group with evolved behavior could respond adaptively to a conditional function thanks to its permanence in a university environment.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.