{"title":"Intra-city disparities in urban green space proximity and its association with infrastructures and demography","authors":"Aman Gupta , Bhaskar De , Zhiqiang Feng","doi":"10.1016/j.rsase.2025.101724","DOIUrl":null,"url":null,"abstract":"<div><div>Proximity to urban green space is a crucial parameter that enriches urban livability and social health. Conversely, the disparity in green space proximity leads to environmental injustice. This becomes a major hindrance to reach sustainable goals at community level. The inequity in green space proximity may be generated from various socio-economic reasons, and such factors need to be evaluated to overcome the issue. Simultaneously, the patterns of green space will affect different age groups in separate manners. In densely built, vastly populated cities from the global south, not much attention is given to the demographic dynamics and urban health. The present study was carried out to recognize these shortcomings. Computation and mapping of Per Capita Green Space (PCGS) were performed at 1 km × 1 km grid level for a tropical megacity from India. About 59 % of the grids within the city depicted remarkably low PCGS, lower than sustainable standards. While the same areas contained more than 9.5 million people, creating severe health hazard risks. Alarmingly low PCGS (even zero) were mostly noted in the northern parts of the city and also in the suburbs towards the north. More than half a million children (age <10 years) were present at risk within the most critical grids. Sample grid observations using floor space area suggested that lower PCGS was common in lower economic residences within the city. The work aimed to draw the attention of urban policymakers to a much-needed environmental injustice and build the latest geospatial database to aid future sustainable city planning.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"39 ","pages":"Article 101724"},"PeriodicalIF":4.5000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352938525002770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Proximity to urban green space is a crucial parameter that enriches urban livability and social health. Conversely, the disparity in green space proximity leads to environmental injustice. This becomes a major hindrance to reach sustainable goals at community level. The inequity in green space proximity may be generated from various socio-economic reasons, and such factors need to be evaluated to overcome the issue. Simultaneously, the patterns of green space will affect different age groups in separate manners. In densely built, vastly populated cities from the global south, not much attention is given to the demographic dynamics and urban health. The present study was carried out to recognize these shortcomings. Computation and mapping of Per Capita Green Space (PCGS) were performed at 1 km × 1 km grid level for a tropical megacity from India. About 59 % of the grids within the city depicted remarkably low PCGS, lower than sustainable standards. While the same areas contained more than 9.5 million people, creating severe health hazard risks. Alarmingly low PCGS (even zero) were mostly noted in the northern parts of the city and also in the suburbs towards the north. More than half a million children (age <10 years) were present at risk within the most critical grids. Sample grid observations using floor space area suggested that lower PCGS was common in lower economic residences within the city. The work aimed to draw the attention of urban policymakers to a much-needed environmental injustice and build the latest geospatial database to aid future sustainable city planning.
接近城市绿地是丰富城市宜居性和社会健康的关键参数。相反,绿地接近度的差异导致环境不公正。这成为在社区一级实现可持续目标的主要障碍。绿地接近度的不平等可能是由各种社会经济原因造成的,需要对这些因素进行评估以克服这一问题。同时,绿地格局会以不同的方式影响不同年龄段的人群。在来自全球南方的建筑密集、人口众多的城市中,人们对人口动态和城市卫生没有给予太多关注。进行本研究就是为了认识到这些缺点。以印度某热带特大城市为研究对象,在1 km × 1 km网格水平上进行了人均绿地面积(PCGS)的计算和制图。该市约59%的电网显示的PCGS非常低,低于可持续标准。而同一地区的人口超过950万,造成严重的健康危害风险。令人担忧的低PCGS(甚至为零)主要出现在城市北部和北部郊区。在最关键的网格中,有50多万儿童(10岁)处于危险之中。使用建筑面积的抽样网格观测表明,较低的PCGS在城市内较低经济水平的住宅中很常见。这项工作旨在引起城市决策者对急需的环境不公的关注,并建立最新的地理空间数据库,以帮助未来的可持续城市规划。
期刊介绍:
The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems