At Urban Geo Analytics, we believe that spatial equity begins with access. From pedestrian catchments to multimodal connectivity, our tools and methods help urban planners, researchers, and municipalities assess how well the built environment serves its people. Whether you’re evaluating proximity to essential services, analyzing access gaps in transit infrastructure, or modeling future urban development scenarios, we provide the geospatial intelligence needed to make informed, human-centered decisions.

What We Offer

We develop open-source, data-driven solutions to measure and visualize accessibility across urban landscapes, tailored to your goals:

  • Proximity & Walkability Models
    Estimate how far residents can walk, bike or drive in 5, 10, 15 minutes or more from key locations.

  • Catchment-Based Population Analysis
    Combine street networks with population data to assess potential reach of services.

  • Multimodal Accessibility Mapping
    Integrate pedestrian, cycling, and public transport networks to build composite accessibility scores.

  • Scenario Testing for Urban Plans
    Simulate the impact of new infrastructure or zoning changes on spatial access and equity.

  • Street Network and Urbanization Indicators
    Compute centrality, density, and reachability metrics using custom network analytics.

  • Land Use and Service Coverage Assessment
    Map urban functions like healthcare, education, green space, and identify underserved areas.

How It Works

We work with a range of geospatial datasets—from OpenStreetMap to governmental land use plans—and integrate them using Python, QGIS, and Google Earth Engine.

Our workflows leverage tools such as:

  • osmnx, networkx, and geopandas for spatial and network processing

  • Custom scripts for network snapping, buffer creation, and travel time estimation

  • Visualization in Jupyter Notebooks or web-based dashboards

  • Optional integration with cloud services or enterprise GIS systems

Each project can be run via scripts, delivered as an interactive dashboard, or packaged into a web-based interface for non-technical users.

Use Cases

  • Identifying which schools are within walking distance for a given population

  • Evaluating the impact of new bike lanes on neighborhoods

  • Mapping the distribution of green space access in dense districts

  • Supporting smart city policies with equity-focused data layers

  • Comparing different urban development scenarios through catchment-based metrics

What We’ve Done

Population Potential on Catchment Area

Identification and Quantification of Urban Space in India

Classification of Residential Buildings into Spatial Patterns of Urban Growth

New Indicators to Explore Housing Inequalities in India

Our protocols and notebooks are designed for reuse and customization. You can use them to replicate your own studies, or we can assist in adapting them to your specific city or project area. Ready? Get in touch with us.