Intoxication in the city: Investigating spatial patterns and determinants of drugs and alcohol-related illegal activities in India's geostrategic corridor

IF 4 2区 地球科学 Q1 GEOGRAPHY
Subham Roy, Indrajit Roy Chowdhury
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Abstract

Illicit drug and alcohol-related activities pose significant challenges to metropolitan centres globally, impacting public safety and socio-economic stability. This research analyzes the spatial and temporal patterns of drugs and alcohol-related illegal activities (DARIA) in Siliguri, known as the "Gateway of North-East India." The primary objectives are to explore DARIA patterns, identify clusters and concentrated areas, and investigate contributing factors. Using GIS-based spatial analysis and geographical models, we studied incidents recorded over three years from 2021 to 2023. Advanced spatial statistical approaches were applied to identify specific clusters of DARIA occurrences. The pure temporal analysis highlighted periods of increased illegal activity. Various geographical models, including ordinary least squares (OLS), geographically weighted regression (GWR), and multiscale geographically weighted regression (MGWR), were used to examine the spatial association. The MGWR model, with an explanatory power of R2 = 0.816, provided a detailed understanding of spatial relationships and variations in DARIA. Our findings indicate specific zones with frequent DARIA occurrences, mainly near major transportation hubs, commercial points, and areas with significant mobility. Key exploratory factors such as illiteracy rate, population density, proximity to playgrounds and slums were highly associated with DARIA incidents. These findings contribute to developing safer, more resilient, and more sustainable cities worldwide.

Abstract Image

城市中的酗酒:调查印度地缘战略走廊与毒品和酒精有关的非法活动的空间模式和决定因素
与毒品和酒精有关的非法活动给全球的大都市中心带来了巨大挑战,影响了公共安全和社会经济稳定。本研究分析了素有 "印度东北门户 "之称的西里古里与毒品和酒精有关的非法活动(DARIA)的时空模式。研究的主要目的是探索 DARIA 模式,确定集群和集中区域,并调查诱因。利用基于地理信息系统的空间分析和地理模型,我们研究了 2021 年至 2023 年三年内记录的事件。我们采用了先进的空间统计方法来识别 DARIA 事件的特定群集。纯粹的时间分析突出了非法活动增加的时期。各种地理模型,包括普通最小二乘法(OLS)、地理加权回归(GWR)和多尺度地理加权回归(MGWR),都被用来研究空间关联。多尺度地理加权回归模型的解释力为 R2 = 0.816,可详细了解 DARIA 的空间关系和变化。我们的研究结果表明,DARIA 频繁发生的特定区域主要靠近主要交通枢纽、商业点和流动性大的地区。文盲率、人口密度、游乐场附近和贫民窟等关键探索因素与 "危险区域 "事件高度相关。这些发现有助于在全球范围内建设更安全、更有韧性和更可持续的城市。
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来源期刊
Applied Geography
Applied Geography GEOGRAPHY-
CiteScore
8.00
自引率
2.00%
发文量
134
期刊介绍: Applied Geography is a journal devoted to the publication of research which utilizes geographic approaches (human, physical, nature-society and GIScience) to resolve human problems that have a spatial dimension. These problems may be related to the assessment, management and allocation of the world physical and/or human resources. The underlying rationale of the journal is that only through a clear understanding of the relevant societal, physical, and coupled natural-humans systems can we resolve such problems. Papers are invited on any theme involving the application of geographical theory and methodology in the resolution of human problems.
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