Access to sustained clean cooking in India is essential to addressing the health burden of indoor air pollution from biomass fuels, but spatial inequality in cities can adversely affect uptake and effectiveness of policies amongst low-income households. Limited data exists on the spatial distribution of energy use in Indian cities, particularly amongst low-income households, and most quantitative studies focus primarily on the effect of economic determinants. A microsimulation approach is proposed, using publicly available data and a Bayesian multi-level model to account for effects of current cooking practices, local socio-cultural context, and spatial effects. This approach offers previously unavailable insight into the spatial distribution of fuel use and residential energy transition within Indian cities. Uncertainty in the modelled effects is propagated through to fuel use estimates. The model is applied to four cities in the south Indian states of Kerala and Tamil Nadu, and comparison against ward-level survey data shows consistency with the model estimates. Ward-level effects exemplify how wards compare to the city average and to other urban area in the state, which can help stakeholders design and implement clean cooking interventions tailored to the needs of households.
Urban mobility enables deprivation bubble breaking in Indian and Mexican cities
Chalmers University of Technology（查尔姆斯理工大学）；Technical University of Denmark（丹麦技术大学）；Lund University（隆德大学）；Centro Ricerche Enrico Fermi（恩里科·费米研究中心）；ISI Foundation（ISI基金会）
Heatwave-Related Mortality Across Indian Cities Under Future Climate Scenarios
FriskaAi；School of Computational & Integrative Sciences, Jawaharlal Nehru University（贾瓦哈拉尔·尼赫鲁大学计算与整合科学学院）；University College London（伦敦大学学院）；AI 4 Water LTD（AI 4 Water有限公司）；Institute for Interdisciplinary Research（跨学科研究所）；School of Public Health, University of Sydney（悉尼大学公共卫生学院）
Invariant features of spatial inequality in consumption: the case of India
Saha Institute of Nuclear Physics（萨哈核物理研究所）；Indian Institute of Management（印度管理学院）；Aalto University School of Science（阿尔托大学理学院）；Jawaharlal Nehru University（贾瓦哈拉尔·尼赫鲁大学）；Centre for Studies in Social Sciences, Calcutta（加尔各答社会科学研究中心）
Classifying Urban Regions by Aggregated Pollutant Weather Correlation Strength: A Spatiotemporal Study
Maulana Abul Kalam Azad University of Technology, West Bengal（西孟加拉马乌拉纳·阿卜杜勒·卡兰·阿扎德理工大学）；S. N. Bose National Centre for Basic Sciences（S.N.玻色基础科学国家中心）；Indian Statistical Institute（印度统计研究所）
A Machine Learning Approach for Modelling Parking Duration in Urban Land-use
Sardar Vallabhbhai National Institute of Technology (SVNIT)（萨达尔·瓦拉巴伊国家理工学院（SVNIT））；Maulana Azad National Institute of Technology（毛拉纳·阿扎德国家理工学院）；The Maharaja Sayajirao University of Baroda（巴罗达摩诃拉贾·萨亚吉拉奥大学）
COVID-19's Unequal Toll: An assessment of small business impact disparities with respect to ethnorace in metropolitan areas in the US using mobility data
