Quantifying the impact of urban physical provisioning systems and environmental attributes on subjective wellbeing: insights from Chennai, India

Quantitatively understanding how physical provisioning systems (energy, mobility, shelter, water, waste management, greenery) and environmental conditions (pollution, noise, extreme heat) shape subjective well-being (SWB) is central to decoupling human well-being from natural resource use, especially in urban areas where most of the world’s population resides. Yet, large-N urban surveys that measure both evaluative and emotional SWB and methods to quantitatively unpack infrastructure and environmental impacts from well-known social systems and individual factors (e.g., age, income, employment) are lacking. This paper advances both areas through a case study in India, the world’s most populous and a rapidly urbanizing nation. (1) We developed a novel survey instrument, tested in Chennai, India, capturing SWB from 2,400 metropolitan residents alongside satisfaction with > 40 physical and social provisioning systems, environmental attributes, and individual-level variables. Metro Chennai’s average Cantril Ladder and Happiness scores were 7.13 and 7.62, comparable to developed nations and far above the Indian average. (2) We applied three complementary methods to quantify SWB impacts of urban physical provisioning systems and environmental attributes: (a) Ordered logistic regression shows household and neighborhood infrastructure (e.g., home size, cooling, sidewalks) can be as influential as social and personal variables; (b) Income-stratified propensity score matching quantified effect sizes, with household and neighborhood infrastructure and environment yielding 0.9–1.14 point SWB improvements, increasing to 2 points for the lowest-income residents for household infrastructure; (c) Split regression identified foundational, consistently important, or added bonus attributes, revealing home size, electricity, heating/cooling, water supply, internet/phone, air quality, and noise as SWB-enhancing priorities.

Authors

Institutions

Publication Details

Journal
Journal of Industrial Ecology
Published
2026-05-18
DOI
https://doi.org/10.1007/s44498-026-00046-8
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying the impact of urban physical provisioning systems and environmental attributes on subjective wellbeing: insights from Chennai, India

Anu Ramaswami, Kirti Das
Journal of Industrial Ecology
Urban Transport and Accessibility
article

Quantifying the impact of urban physical provisioning systems and environmental attributes on subjective wellbeing: insights from Chennai, India

Anu Ramaswami, Kirti Das
article en

Abstract

Quantitatively understanding how physical provisioning systems (energy, mobility, shelter, water, waste management, greenery) and environmental conditions (pollution, noise, extreme heat) shape subjective well-being (SWB) is central to decoupling human well-being from natural resource use, especially in urban areas where most of the world’s population resides. Yet, large-N urban surveys that measure both evaluative and emotional SWB and methods to quantitatively unpack infrastructure and environmental impacts from well-known social systems and individual factors (e.g., age, income, employment) are lacking. This paper advances both areas through a case study in India, the world’s most populous and a rapidly urbanizing nation. (1) We developed a novel survey instrument, tested in Chennai, India, capturing SWB from 2,400 metropolitan residents alongside satisfaction with > 40 physical and social provisioning systems, environmental attributes, and individual-level variables. Metro Chennai’s average Cantril Ladder and Happiness scores were 7.13 and 7.62, comparable to developed nations and far above the Indian average. (2) We applied three complementary methods to quantify SWB impacts of urban physical provisioning systems and environmental attributes: (a) Ordered logistic regression shows household and neighborhood infrastructure (e.g., home size, cooling, sidewalks) can be as influential as social and personal variables; (b) Income-stratified propensity score matching quantified effect sizes, with household and neighborhood infrastructure and environment yielding 0.9–1.14 point SWB improvements, increasing to 2 points for the lowest-income residents for household infrastructure; (c) Split regression identified foundational, consistently important, or added bonus attributes, revealing home size, electricity, heating/cooling, water supply, internet/phone, air quality, and noise as SWB-enhancing priorities.

Journal of Industrial Ecology
Princeton University (US)
Sustainable cities and communities
Openalex Percentile: Top 4%
Urban Transport and Accessibility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantifying the impact of urban physical provisioning systems and environmental attributes on subjective wellbeing: insights from Chennai, India — Anu Ramaswami, Kirti Das · Journal of Industrial Ecology (2026) | TGRS Research Map | TGRS