Porush Kumar, Mahendra Pratap Choudhary, Anil K Mathur
{"title":"Analyzing the relationship between municipal solid waste generation and urban land use using integrated geospatial and spatial statistical techniques.","authors":"Porush Kumar, Mahendra Pratap Choudhary, Anil K Mathur","doi":"10.1093/inteam/vjaf128","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding the spatial variability of municipal solid waste (MSW) generation is critical for informed urban planning and sustainable waste management. This study examines the relationship between land use patterns and MSW generation across the urban ecosystem of Kota City, India, to identify spatial clusters and assess the influence of urban form and density. An integrated geospatial-statistical approach was applied to 146 urban wards using Hotspot Analysis (Getis-Ord Gi*), Global and Local Moran's I, overlay analysis, and zonal statistics. Waste generation data were spatially linked with land use typologies and population density to detect statistically significant patterns. Daily waste generation ranged from 0.43 to 11.13 metric tons (t/day) across wards. High-intensity hotspots were found in densely populated and mixed-use zones, such as Ward 15 (0.61 kg/person/day) and Ward 5 (0.88 kg/person/day). Spatial autocorrelation analysis confirmed significant clustering (Global Moran's I = 0.056, z = 2.59, p = 0.009), with prominent hotspots identified in Wards 12, 13 (Kota-North) and Wards 16, 17 (Kota-South) at 99% confidence. Residential zones contributed the highest MSW load (541.97 t/day), followed by industrial (55.69 t/day) and commercial areas (50.20 t/day). Urban land use, population density, and mixed-use zoning significantly influence waste generation patterns. The spatial-statistical framework developed herein provides a scalable decision-support tool for waste planning, zoning policy, and sustainable resource management in rapidly urbanizing cities.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":" ","pages":""},"PeriodicalIF":8.4000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrated Environmental Assessment and Management","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1093/inteam/vjaf128","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding the spatial variability of municipal solid waste (MSW) generation is critical for informed urban planning and sustainable waste management. This study examines the relationship between land use patterns and MSW generation across the urban ecosystem of Kota City, India, to identify spatial clusters and assess the influence of urban form and density. An integrated geospatial-statistical approach was applied to 146 urban wards using Hotspot Analysis (Getis-Ord Gi*), Global and Local Moran's I, overlay analysis, and zonal statistics. Waste generation data were spatially linked with land use typologies and population density to detect statistically significant patterns. Daily waste generation ranged from 0.43 to 11.13 metric tons (t/day) across wards. High-intensity hotspots were found in densely populated and mixed-use zones, such as Ward 15 (0.61 kg/person/day) and Ward 5 (0.88 kg/person/day). Spatial autocorrelation analysis confirmed significant clustering (Global Moran's I = 0.056, z = 2.59, p = 0.009), with prominent hotspots identified in Wards 12, 13 (Kota-North) and Wards 16, 17 (Kota-South) at 99% confidence. Residential zones contributed the highest MSW load (541.97 t/day), followed by industrial (55.69 t/day) and commercial areas (50.20 t/day). Urban land use, population density, and mixed-use zoning significantly influence waste generation patterns. The spatial-statistical framework developed herein provides a scalable decision-support tool for waste planning, zoning policy, and sustainable resource management in rapidly urbanizing cities.
期刊介绍:
Integrated Environmental Assessment and Management (IEAM) publishes the science underpinning environmental decision making and problem solving. Papers submitted to IEAM must link science and technical innovations to vexing regional or global environmental issues in one or more of the following core areas:
Science-informed regulation, policy, and decision making
Health and ecological risk and impact assessment
Restoration and management of damaged ecosystems
Sustaining ecosystems
Managing large-scale environmental change
Papers published in these broad fields of study are connected by an array of interdisciplinary engineering, management, and scientific themes, which collectively reflect the interconnectedness of the scientific, social, and environmental challenges facing our modern global society:
Methods for environmental quality assessment; forecasting across a number of ecosystem uses and challenges (systems-based, cost-benefit, ecosystem services, etc.); measuring or predicting ecosystem change and adaptation
Approaches that connect policy and management tools; harmonize national and international environmental regulation; merge human well-being with ecological management; develop and sustain the function of ecosystems; conceptualize, model and apply concepts of spatial and regional sustainability
Assessment and management frameworks that incorporate conservation, life cycle, restoration, and sustainability; considerations for climate-induced adaptation, change and consequences, and vulnerability
Environmental management applications using risk-based approaches; considerations for protecting and fostering biodiversity, as well as enhancement or protection of ecosystem services and resiliency.