A research dataset examines the effect of safe public transit on women's mobility and labor outcomes in Delhi, India. The project combines administrative establishment data, geospatial infrastructure layers, and primary survey data collected between 2025 and 2026. It was authored by Kovvuri, Akhila and released through IDSC Harvested Dataverse.
Use Cases
- Analyze changes in female labor-force participation based on metro accessibility indicators.
- Study firm entry and hiring patterns around metro corridors using establishment-level data.
- Model commuting behavior changes using primary survey data from commuters and households.
- Assess spatial economic restructuring based on geospatial infrastructure layers and firm locations.
Strengths
- Combines multiple data sources: Economic Census cross-sections from 1990, 2005, and 2013, plus establishment records from 2011 to 2024.
- Includes original primary survey data collected between 2025 and 2026.
- Applies spatially granular matching and geocoding procedures to connect firms and households with metro indicators.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to the Delhi, India study area.
Provenance
- Source
- IDSC Harvested Dataverse
- Collection Method
- Combines administrative establishment-level data, geospatial layers, and original primary survey data.
- Time Range
- Administrative data spans 1990 to 2024; primary survey data collected 2025-2026.
- Freshness
- Last updated 2026-06-08 09:10:09; freshness should be verified.
- Geography
- Delhi, India