Transit-Oriented Development Plan for a Namma Metro Purple Line Station Corridor, Bengaluru (QGIS)

Bengaluru built the metro, but the city around most stations still looks and behaves exactly as it did before: low-slung commercial strips, gated plots, compounds, and roads designed for cars. The Transit-Oriented Development (TOD) Policy for Bengaluru notified by the Directorate of Urban Land Transport (DULT) in 2022 defines a Standard TOD Zone of roughly 500 metres (about a six-minute walk) and an Area of Influence of 500–1,000 metres around stations, and the Metro Rail Policy 2017 makes TOD adoption a condition for central assistance to metro projects. The gap between the policy on paper and the city on the ground is the subject of this thesis.

The study takes a four-station segment of the Purple Line — Baiyyappanahalli, Indiranagar, Trinity and Halasuru — and produces an evidence-based station-area TOD plan. Working in QGIS with OpenStreetMap data, Census 2011 ward tables and BMRCL's published station-wise ridership, it delineates network-based walking catchments instead of the usual straight-line buffers, audits built form (footprint, estimated floors, ground coverage, land-use mix, population and jobs density), scores street networks and pedestrian access, and runs a small station-exit survey on how people actually arrive at the metro.

The output is a gap matrix between current zoning and TOD policy, and station-area local plans for two contrasting stations — a dense commercial core and a regenerating terminal — with development-control provisions, pedestrian-priority streets, parking management and public-space proposals that a planning authority could adopt.

Bengaluru's metro carries several lakh passenger entries a day, yet the areas within a five-minute walk of most stations remain functionally car-oriented: pedestrian networks are broken by arterials, flyovers and compound walls, land-use mix is frozen by older zoning, and development rights granted by TOD policy are unused because station-area plans do not exist. The result is a growing mismatch between the corridors where the public has paid to concentrate accessibility and the places where people can actually live, work and walk.

The problem this thesis addresses is: within the Standard TOD Zone and Area of Influence of four Purple Line stations, how far do existing land use, built form, street networks and station access behaviour diverge from what the DULT TOD Policy and the National TOD Policy prescribe — and what station-area plans and development-control provisions would close that gap for each station's distinct context? The answer must be measured, mapped and site-specific, not asserted.

Abstract

India has invested heavily in metro rail, and the Metro Rail Policy 2017 requires that this investment be matched by compact, mixed-use, walkable development around stations. Bengaluru has a TOD policy that defines station influence zones and promises higher development rights within them, yet station areas continue to develop according to pre-metro logic. This thesis measures that gap for a four-station Purple Line segment and converts the findings into station-area plans written in the language of development-control regulations.

Introduction

The Purple Line is Namma Metro's oldest and busiest corridor, running from Whitefield in the east through the CBD to Challaghatta in the south-west. Its stations sit in sharply different contexts: Baiyyappanahalli is a rail-and-industry quarter being regenerated, Indiranagar and Trinity are dense commercial-residential neighbourhoods, Halasuru is an old core layered with institutional uses. A TOD policy written city-wide lands differently in each of these contexts, which is precisely why a corridor-level audit is more useful than a generic city study.

Literature gap

International TOD literature is extensive, and Indian studies commonly map straight-line station buffers or rank cities on TOD indices. Three things are rarer: network-based walking catchments that reflect footbridges, flyovers and compound walls; plot-level built-form audits that estimate how much of the permitted density is actually used; and policy-gap analysis that compares observed built form with what the state's own TOD policy prescribes. This thesis combines all three and ends in implementable provisions rather than principles.

Existing practice vs proposed approach

• Existing practice: buffer maps of 500–800 m drawn as circles; generic recommendations ("increase FSI near stations"); no link between observed station access behaviour and the pedestrian network actually available.
• Proposed approach: network service areas computed on the OSM pedestrian graph, a sampled built-form audit validated against imagery, ridership and an exit survey used as behavioural evidence, and a gap matrix that leads directly to station-specific provisions.

Feasibility

• Data: every core dataset is public and free — OSM via Geofabrik, Census 2011 ward tables from the Census of India, BMRCL station-wise ridership collated on the Open City data portal, and the DULT TOD policy as a public PDF.
• Technical: QGIS with standard plugins handles network analysis, auditing and cartography on an ordinary laptop.
• Field work: one two-week station-exit survey (about 50 respondents per station) and a walking audit of sampled streets are realistic for a single student within a semester.
• Institutional: recommendations are written against the DULT policy, URDPFI 2015 and the local development-control regulations, so they can be discussed with the planning authority.

In scope

• A four-station segment of the Purple Line: Baiyyappanahalli, Indiranagar, Trinity and Halasuru, each with a 500 m Standard TOD Zone and a 500–1,000 m Area of Influence.
• Land use, built form, density, street networks and pedestrian accessibility; station access behaviour (walk, feeder bus, two-wheeler, auto).
• Policy benchmarking against the DULT TOD Policy (2022), National TOD Policy (2017), Metro Rail Policy (2017), URDPFI 2015 and the city's development-control regulations.
• Station-area local plans for two contrasting stations, with DCR-style provisions and a phasing note.

Out of scope

• Transport demand modelling, trip assignment and metro timetable optimisation.
• Property valuation or land-price econometrics (land value capture is discussed qualitatively).
• Detailed engineering design of footpaths, junctions or stations.
• The Yellow, Green and Blue Lines, and any rail terminals outside the study segment.

The thesis follows a sequential mixed-method research design with five stages, each ending in a departmental review. Roughly 24 weeks are available.

Built-form audit: every plot in each zone is classified by use; building footprints come from OSM, floor counts are estimated from high-resolution imagery and verified for a 15% random sample of plots by field visit; ground coverage and estimated floor-area ratio are computed per zone and compared with permitted norms.

Survey ethics: the station-exit survey is anonymous, collects no identifiers, records approximate age group and occupation category only, and is conducted after informing respondents of the academic purpose; data are stored in aggregate.

Quality checks: two auditors independently score 10% of street segments and agreement is reported; network catchments are cross-checked against survey-reported walking times to expose where the mapped network and reality diverge.

The study is a funnel: spatial measurement narrows into a policy-gap diagnosis, which widens into station-specific plans. The flowchart is the method sheet carried through report, PPT and jury.

flowchart TD
  ST["Purple Line segment: Baiyyappanahalli · Indiranagar · Trinity · Halasuru"] --> Z1["Network-based 500 m Standard TOD Zone from OSM pedestrian graph"]
  ST --> Z2["Area of Influence: 500 to 1,000 m"]
  Z1 --> BF["Built-form audit: footprints, floors, ground coverage, land-use mix entropy"]
  Z2 --> BF
  BF --> DEN["Density and mix maps vs Census 2011 population"]
  ST --> RID["BMRCL station-wise ridership from the Open City dataset"]
  NET["Street network: intersection density, block length, footway continuity"] --> PES["Pedestrian-accessibility score per station"]
  SUR["Station-exit survey, ~50 respondents per station"] --> PES
  RID --> PES
  BF --> GAP["Policy-gap matrix: observed built form vs DULT TOD Policy and DCR"]
  PES --> GAP
  DEN --> GAP
  GAP --> SEL["Select two contrasting stations for local plans"]
  SEL --> PLAN["Station-area plans: densification areas, pedestrian-priority streets, parking, public space"]
  PLAN --> DCR["DCR-aligned provisions and phasing with land-value-capture notes"]

Reading the design

• Measurement layer (top): the same four audits are run identically in all eight zones (four stations × two zones) so results are comparable; all rasters and vectors carry a common projected CRS (UTM 43N, EPSG:32643).
• Behavioural layer (middle): ridership and the exit survey supply the demand side that buffer maps usually ignore; where survey-reported access differs from the mapped network, the barrier is photographed and logged.
• Proposal layer (bottom): the gap matrix decides which two stations get detailed plans — one where TOD is already consolidating, one where it is failing — so the proposals demonstrate both densification and retrofit situations.

Key indicator definitions

• Land-use mix (entropy): H = −Σ p·ln(p) over built-floor area in residential, commercial, institutional and mixed categories, normalised by ln(4) so scores run 0–1.
• Intersection density: four-way-plus-three-way junctions per km² of street network, a standard design indicator.
• Ground coverage: footprint area ÷ plot area, aggregated by zone from the audited sample.

• Extend the audit to every Purple Line station and build a corridor-wide TOD index that ranks stations for investment.
• Couple the accessibility analysis with feeder-bus GTFS data to test last-mile integration scenarios.
• Add a land-price panel (guideline values) to test how TOD zones affect property values over time.
• Re-run the audit after the next census to measure whether densification is actually following the metro.
• Draft a model station-area development-control clause that any planning authority could adopt.