Analyzing Census data for patterns of mobility inequity: gender, geography, and public policy in India
Analyzing Census data for patterns of mobility inequity: gender, geography, and public policy in India
We study gender- and residence-based inequities in travel mobility across India using the 2011 Census—the country’s largest household travel dataset, covering over 200 million person-trips across 35 states and union territories. For each state and for four Census-defined groups (rural male, urban male, rural female, urban female), we estimate empirical survival functions for trip distance (probability of traveling at least x kilometers) via nonlinear least squares and summarize expected trip lengths via the conditional mean up to a 50 kilometer cutoff. Nationally, rural males consistently travel farther than urban males, whereas urban females travel farther than rural females; these orderings persist across policy-relevant thresholds (5, 10, 20 kms). Inter-state variation is marked, e.g., short-distance mobility for rural males is much lower in Punjab than in Nagaland suggesting state-tailored transportation policies. Our results also indicate substantial constraints on rural female mobility. We translate these findings into data-informed guidance for facility siting and transport improvements, emphasizing state-specific targeting and near-access enhancements. The framework provides a scalable basis for macroscopic mobility analysis in India and supports progress towards Sustainable Development Goals 5 (Gender Equality) and 11 (Sustainable Cities and Communities).
Gender disparity, Indian Census, Public policy, Rural–urban mobility, Sustainable development goals, Travel mobility inequity
Singh, Bismark
9d3fc6cb-f55e-4562-9d5f-42f9a3ddd9a1
16 December 2025
Singh, Bismark
9d3fc6cb-f55e-4562-9d5f-42f9a3ddd9a1
Singh, Bismark
(2025)
Analyzing Census data for patterns of mobility inequity: gender, geography, and public policy in India.
Annals of Operations Research.
(doi:10.1007/s10479-025-06972-3).
Abstract
We study gender- and residence-based inequities in travel mobility across India using the 2011 Census—the country’s largest household travel dataset, covering over 200 million person-trips across 35 states and union territories. For each state and for four Census-defined groups (rural male, urban male, rural female, urban female), we estimate empirical survival functions for trip distance (probability of traveling at least x kilometers) via nonlinear least squares and summarize expected trip lengths via the conditional mean up to a 50 kilometer cutoff. Nationally, rural males consistently travel farther than urban males, whereas urban females travel farther than rural females; these orderings persist across policy-relevant thresholds (5, 10, 20 kms). Inter-state variation is marked, e.g., short-distance mobility for rural males is much lower in Punjab than in Nagaland suggesting state-tailored transportation policies. Our results also indicate substantial constraints on rural female mobility. We translate these findings into data-informed guidance for facility siting and transport improvements, emphasizing state-specific targeting and near-access enhancements. The framework provides a scalable basis for macroscopic mobility analysis in India and supports progress towards Sustainable Development Goals 5 (Gender Equality) and 11 (Sustainable Cities and Communities).
Text
s10479-025-06972-3
- Version of Record
More information
Accepted/In Press date: 19 November 2025
e-pub ahead of print date: 16 December 2025
Published date: 16 December 2025
Keywords:
Gender disparity, Indian Census, Public policy, Rural–urban mobility, Sustainable development goals, Travel mobility inequity
Identifiers
Local EPrints ID: 508638
URI: http://eprints.soton.ac.uk/id/eprint/508638
ISSN: 0254-5330
PURE UUID: ed498293-bbcf-46ac-8238-e172679a1977
Catalogue record
Date deposited: 28 Jan 2026 17:57
Last modified: 31 Jan 2026 07:50
Export record
Altmetrics
Contributors
Author:
Bismark Singh
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics