Urban planning / spatial analytics / investment research
Shubhankar Sharma
I work across urban development, spatial analytics, and investment research, connecting planning judgment with data-driven analysis, valuation, and decision support.
Urban planning / spatial analytics / investment research
I work across urban development, spatial analytics, and investment research, connecting planning judgment with data-driven analysis, valuation, and decision support.
I develop simulation models that examine how changes in infrastructure, policy, and human behavior influence movement, accessibility, and urban performance.
A good map or dashboard makes complex systems easier to understand by revealing where access breaks, where risk clusters, how movement flows, and which assumptions shape the outcome.
My market work focuses on understanding businesses, assets, valuation, risk, and capital allocation with the same evidence-first discipline used in planning and spatial analysis.
About
My work combines development advisory, regulatory coordination, project appraisal, spatial data systems, and market research. At URPAC, I have worked across planning and development assignments in multiple cities while extending the practice into real estate and public-market research.
Focus areas
Development feasibility, approvals, zoning interpretation, site planning, and project coordination.
GIS, network analysis, accessibility models, mapping systems, dashboards, and urban data workflows.
Financial statement analysis, valuation, business fundamentals, risk assessment, and capital allocation.
Interactive tools for route-finding, mobility, land use, public access, simulation, and planning decisions.
Research
In urban planning and computing, I have worked on development feasibility, zoning and approvals, route finding, street networks, green-space accessibility, land-use patterns, school access, parking supply, public safety, and emergency response.
In investment research, I study financial statements, business fundamentals, valuation, risk, capital allocation, project appraisal, and portfolio questions across real estate and public markets.
Network access
Route-finding, accessibility, street connectivity, and service-area analysis.
Developed an interactive route-planning system that applies the A* search algorithm to real urban street networks in Mumbai, Delhi, Bengaluru, and New York. The project visualizes both the shortest path and the algorithm’s search behavior, making route optimization, graph traversal, and urban network structure easier to interpret.
Built a comparative street-network analysis of dead-end road patterns in Delhi, Mumbai, and Bengaluru to study urban permeability, local accessibility, and circulation constraints. The project examines how fragmented street layouts affect neighborhood movement, route choice, and connectivity.
Designed a walkability scoring model using street networks, amenities, land use, pedestrian infrastructure, safety conditions, and urban design factors. The project evaluates how accessible, connected, and pedestrian-friendly different urban areas are.
Analyzed school accessibility in Shibuya, Japan by evaluating walking access, school locations, street networks, and safe-route conditions. The project studies how easily children and families can reach schools within the neighborhood environment.
Developed a retail accessibility analysis evaluating travel-time access to Walmart locations. The project uses isochrone-based spatial analysis to show how easily people can reach retail services from different areas.
Developed an urban wayfinding prototype grounded in city legibility, pedestrian navigation, and behavioral movement theory. The project connects urban design literature with interactive visual explanation of how people understand and navigate cities.
Spatial dashboards
Interactive maps, dashboards, globes, and visual systems for reading urban data.
Designed a green-space accessibility framework to evaluate parks not just by location, but by practical usability, service area, size, coverage, and surrounding urban context. The project developed a Park Usability Index to compare how effectively different green spaces serve nearby populations.
Developed an interactive land-use and traffic analysis project to examine how building functions, urban density, and spatial clustering relate to movement patterns. The project connects apartments, commercial activity, and mixed-use areas with traffic and accessibility conditions.
Developed a 3D global air-pollution visualization to compare city-level PM2.5 patterns across the world. The project turns environmental pollution data into an interactive geographic interface for identifying spatial differences in air-quality exposure.
Created a 3D migration-flow globe to visualize movement between places through animated spatial flows. The project represents migration as a dynamic geographic system, helping communicate direction, scale, and connectivity between regions.
Developed an interactive energy visualization comparing production and consumption patterns across countries. The project explains differences in energy resources, infrastructure, supply, and demand through spatial comparison.
Built a reusable 3D globe visualization system for global spatial analysis and interactive data presentation. The system supports multiple themes, including migration, pollution, climate, and country-level data overlays.
Created a transparent country-boundary globe to explore alternative ways of representing world geography. The project focuses on global boundary visualization, spatial form, and interactive geographic design beyond conventional flat maps.
Built a climate and temperature globe visualization to communicate environmental change across time and geography. The project uses a global interface to show temporal climate patterns and spatial differences in temperature-related data.
Built an interactive geospatial map of meteorite landings to practice spatial visualization, point clustering, and geographic data exploration. Although outside core urban planning, the project demonstrates transferable mapping and geographic analysis skills.
Developed a migration-focused globe visualization system for representing world geography and movement flows. The project supports interactive global mapping and migration-flow analysis through a 3D spatial interface.
Developed a city-pulse dashboard prototype using NYC building and spatial data to represent urban geometry, grid structure, and city attributes. The project explores how raw spatial information can be converted into an interactive dashboard for reading city activity.
Mobility systems
Traffic behavior, transport demand, parking, vehicle movement, and travel patterns.
Analyzed how major event venues in Manhattan influence nearby traffic pressure and street-level congestion. The project focuses on high-activity locations such as Madison Square Garden and evaluates how event demand can reshape movement patterns around surrounding road networks.
Built an emergency vehicle dispatch simulation to evaluate ambulance movement, signal response, departure timing, and traffic-priority scenarios. The project compares how different signal-priority distances affect emergency vehicle flow and response behavior in urban traffic conditions.
Built a multi-city parking analysis project to compare parking supply across central business districts and wider urban areas. The project examines how parking availability, land consumption, and CBD structure differ across global cities and influence urban form.
Designed a shared autonomous taxi simulation comparing roaming autonomous taxis with conventional taxis that require parking between trips. The project evaluates how autonomous mobility could affect parking demand, vehicle circulation, waiting time, and transport efficiency.
Conducted a comparative congestion-pricing study across Manhattan, Singapore, London, and Stockholm. The project examines cordon pricing, peak/off-peak pricing, road-use charges, and demand- management logic to understand how pricing can influence urban traffic behavior.
Built a taxi and commercial-center simulation to study how transport demand interacts with business districts and activity nodes. The project examines how movement, waiting, and commercial concentration shape urban mobility patterns.
Explored taxi trajectory data to analyze vehicle movement over time using location traces. The project focuses on transforming raw mobility traces into interpretable urban movement patterns.
Built Uber pickup-location visualizations to analyze ride-hailing demand patterns across New York City. The project identifies where demand concentrates and how pickup activity varies spatially across the city.
Built a vehicle waiting-time visualization to show how delay, queueing, and movement evolve in traffic and congestion scenarios. The project communicates operational traffic behavior through animated visual analysis.
Built an aircraft movement visualization to represent spatial movement, density, and clustering patterns. The project compares different visual methods for communicating aircraft location and movement behavior across space.
Housing and development
Housing dynamics, neighborhood change, land-use regulation, and development workflows.
Designed a housing dynamics simulation to model affordability, rent pressure, income groups, neighborhood desirability, migration, and district-level housing change. The project compares planning scenarios such as affordable housing allocation, density, sprawl, workplace proximity, and income inequality.
Developed a neighborhood-change model to study gentrification through housing, income, education, demographic composition, and neighborhood transition variables. The project translates urban theory into a simulation framework for analyzing how neighborhoods evolve under economic and social pressure.
Built a CBD activity analysis project comparing downtown intensity and central business district performance across global cities. The project evaluates urban-center strength, activity concentration, and differences in how CBDs function across city contexts.
Prepared a formal planning report on craft beverage and brewery zoning strategies. The project analyzes land-use regulation, zoning constraints, local economic development, and planning considerations for brewery-related development.
Developed a sustainable neighborhood design framework using international case studies such as Vauban, Freiburg and Hammarby Sjostad, Stockholm. The project connects car-free design, mixed use, green infrastructure, and energy systems with algorithmic planning concepts.
Designed a real-estate and district movement simulation to study how population density, district attractiveness, and development conditions influence movement between urban areas. The project models how people, investment, and urban activity can shift across changing districts.
Developed a planning advisory web concept focused on zoning navigation, site plan approvals, environmental review, development guidance, and urban project support. The project frames planning services around the practical workflow from regulation to project implementation.
Safety and risk
Public safety, emergency movement, road risk, and urban vulnerability analysis.
Developed a child-friendly city safety analysis combining crime exposure, traffic risk, collision patterns, pedestrian safety, and safe-zone mapping. The project evaluates how urban conditions affect children’s ability to move safely through neighborhoods and public spaces.
Researched and designed a bicycle safety simulation framework focused on cyclist-vehicle interaction, near-miss events, conflict points, and road-risk behavior. The project studies how safety risks emerge from traffic movement, speed, proximity, and interaction patterns.
Analyzed Manhattan public-safety patterns using crime and arrest data to identify offense categories, spatial hotspots, and neighborhood-level risk patterns. The project translates public-safety data into interactive geographic analysis.
Designed a metro-station crowd evacuation simulation modeling passenger flows, platform crowding, stair bottlenecks, boarding, exiting, and train movement. The project evaluates how people move through high-density transit environments during normal and emergency scenarios.
Analyzed alcohol-impaired driving patterns using traffic-safety data to study crash risk, fatality patterns, and BAC-related variables. The project examines how impaired driving contributes to road-safety outcomes.
Prototyped a disaster-oriented 3D city visualization focused on evacuation planning, hazard awareness, and emergency preparedness. The project communicates urban vulnerability and evacuation logic through an interactive city environment.
Developed an urban traffic-noise simulation to study how congestion, vehicle flow, and driver behavior affect honking frequency. The project models junction-level sound behavior and evaluates how traffic conditions can contribute to urban noise stress.
Designed autonomous vehicle and pedestrian interaction scenarios for crosswalks, jaywalking, pedestrian-heavy areas, and mixed-traffic environments. The project examines how vehicle reaction time, braking, speed, and pedestrian movement affect safety outcomes.
Policy and social systems
Scenario tools for governance, resource allocation, public goods, and collective behavior.
Designed an interactive urban policy game that converts planning decisions into scenario-based tradeoffs and consequences. The project models policy choices across housing, traffic, crime prevention, green space, disaster management, budgets, stakeholders, equity, and governance constraints.
Built an interactive resource-allocation visualization to show how public funding can be distributed across urban districts. The project examines inequality, funding priorities, and spatial tradeoffs in public resource planning.
Built a social belonging simulation to model how individuals shift between groups such as friends, workplace, local community, religion, and other social categories. The project represents belonging as a dynamic system shaped by social connection, group identity, and movement between communities.
Developed a social-network simulation showing how echo chambers and polarization emerge from ideology, income, education, identity, preference scores, and connection strength. The project models how individual similarity and social links can produce clustered belief systems.
Built a public-goods simulation using a free-bus-ride scenario to model cooperators, defectors, and loners in a shared urban service system. The project explains collective-action problems in public transport funding through an interactive simulation.
Developed a social unrest simulation modeling transitions between government supporters, dissidents, and insurgents. The project examines how group behavior, social pressure, and changing conditions can influence conflict dynamics.
Built a misinformation-spread simulation to model how information travels through a network based on susceptibility, connection strength, and node behavior. The project shows how misinformation can be accepted, resisted, or transmitted across social systems.
Simulation prototypes
Agent-based models, synthetic cities, procedural environments, and experimental urban interfaces.
Prototyped a 3D synthetic city environment with buildings, lighting, vehicles, and animated urban movement. The project explores how interactive 3D environments can be used to represent city form, mobility, and urban activity.
Built a suite of cellular automata simulations covering city growth, segregation, taxi movement, commercial centers, and airport-style movement systems. The project uses agent-based rules to show how simple local decisions can generate larger urban and social patterns.
Built a green city generator that combines roads, buildings, houses, and green-space elements into a procedural urban environment. The project explores how sustainable city form and environmental design ideas can be represented visually.
Built 3D vehicle movement prototypes for cars, trucks, and transport simulation environments. The project created reusable visual assets and motion logic for mobility, traffic, and autonomous-vehicle scenario development.
Developed an image-based city analysis project to study how urban places are visually represented through scene categories and visual features. The project uses classification outputs, charts, and image galleries to compare the visual identity of different cities.
Developed a coffee shop location analysis to study amenity density, urban retail distribution, and state- level location patterns. The project connects retail geography with neighborhood character, accessibility, and real-estate context.
Developed a Los Angeles business-location visualization to study urban economic activity and spatial business distribution. The project represents businesses as part of a broader urban network shaped by location, clustering, and commercial concentration.
Experience
Aug 2020-Present
Director, Bengaluru
Lead URPAC's planning and development work across development feasibility, regulatory coordination, project appraisal, financial analysis, valuation, risk-return assessment, and capital deployment.
Apr 2022-Present
URPAC, Bengaluru
Conduct research across real estate and public markets, covering financial statements, business fundamentals, valuation, risk, capital allocation, portfolio analysis, and investment opportunities.
Mar 2021-Apr 2022
URPAC (OPC) Private Limited, Bengaluru
Established a planning and development advisory practice supporting land feasibility, planning approvals, zoning interpretation, site planning, development strategy, and project coordination.
2019-2020
School of Public and International Affairs, Virginia Tech
Supported SPIA 3554 Transdisciplinary Problem Solving and UAP 3354 Environmental Policy through course delivery, assignments, class activities, and student mentoring.
2018-2019
School of Public and International Affairs, Virginia Tech
Conducted spatial research and map development for a renewable energy facility siting project, while developing online research and communication materials to support dissemination.
Dec 2018-Dec 2019
Community Change Collaborative, Virginia Tech Institute for Policy and Governance
Managed communications and outreach for programs and events, supporting publicity, audience engagement, and event visibility.
Aug 2019-Aug 2020
Virginia Chapter of the American Planning Association
Represented graduate planning students and supported professional engagement with the Virginia planning community.
Jun-Sep 2017
Ministry of Housing and Urban Affairs, Government of India
Contributed to a Karkardooma, New Delhi research project on plant-based interventions for reducing the impacts of vehicular pollution.
Jun-Sep 2016
National Real Estate Development Council (NAREDCO), Haryana
Conducted real estate and urban-development research focused on Gurugram, contributed to the Realty India article "Planning an Integrated City", and supported a stakeholder seminar with Urban Local Bodies and real estate developers.
Education
Master of Urban and Regional Planning, 2018-2020
Capstone: zoning ordinance strategies for craft breweries in Blacksburg, Virginia.
Bachelor in Planning, Gold Medalist, Rank 1, 2014-2018
Thesis: human psychology and physical planning as an integrated approach to urban well-being.
School Education
Toolkit
Python, JavaScript, SQL, probability, big data modeling, data pipelines, feature construction, statistical analysis, and experiment tracking.
ArcGIS, QGIS, PostGIS, OpenStreetMap, Leaflet, MapLibre, spatial indexing, network analysis, accessibility modeling, and urban visualization.
AutoCAD, SketchUp, Photoshop, Illustrator, C# Unity, 3D geographic visualization, simulation systems, and scenario tools.
Financial statement analysis, valuation, capital allocation, risk analysis, development finance, portfolio research, and public-market research.