Worli Koliwada

Urban informatics, Mumbai, India

2018, 2026

Role

Urban designer

Medium

Urban informatics: spatial data, environmental metrics, decision support. Studio project 2018, revisited 2026

Year

2018, 2026

Tools

Year

ArcGIS, Google Earth Engine, AutoCAD, Illustrator, Lumion, Photoshop. Data: Landsat 8, Sentinel-2, Copernicus GLO-30, OpenStreetMap

Collaborators

N. Stoliarova, S. Santos, E. Petraki. Urban Planning II, Technical University of Crete, 2017–18. Professor D. Dimelli

Worli Koliwada is a Koli fishing village on the Worli headland in Mumbai: 35.5 ha and 2,857 buildings. The project started as a 2018 urban planning studio at the Technical University of Crete and returns in 2026 as an urban informatics study of ten analysis boards and six proposal boards.

Synthesis. Six open datasets, resampled to a 100 m grid, produce nine built-environment metrics: Landsat 8 surface temperature, Sentinel-2 canopy, Copernicus terrain, and OpenStreetMap streets, buildings and services. Heat, access, flood exposure and crowding read together cell by cell. 12 of the 15 highest-need cells lie inside Koliwada, and the combined need averages 0.55 in the village against 0.21 in the 1 km ring around it.

Decision support. Each metric links to a municipal need and to the design move that answers it. The site averages 39.9 °C surface temperature, so the proposal plants 331 trees and 5.2 ha of green. Only 34 % of homes reach a clinic within a 10 minute walk; the proposal places services so every home sits inside a service radius. Against an 18 m² median building footprint, three block typologies give 12.7 m² per person on average, and 1.1 ha stays as working ground for the fishing economy.

Evaluation. The same metrics run again on the 2018 masterplan, registered to OpenStreetMap. Public green space grows from 4 % to 15 % of the site, vegetated cover from 5.4 % to 16.4 %, and homes within 400 m of a school, clinic or public use from 34 % to 100 %. Built coverage drops from 31 % to 23 %, freeing ground for public space. Homes within 300 m of green fall from 100 % to 90 %, and metro access stays at 0 %: it needs an off-site walking route and a feeder service.

The full set: ten analysis boards and six proposal boards, in reading order
The full set: ten analysis boards and six proposal boards, in reading order

The full set: ten analysis boards and six proposal boards, in reading order

A01 Mumbai context: from seven islands to one city, land added by era, monsoon and population
A01 Mumbai context: from seven islands to one city, land added by era, monsoon and population

A01 Mumbai context: from seven islands to one city, land added by era, monsoon and population

A02 The village today: landmarks, lanes and houses, and what the open map records inside Koliwada

A03 Heat stack: ground, built form, vegetation and surface temperature combined into a heat priority index

A04 How people move: walking times from the village centre, and trips by mode and purpose
A04 How people move: walking times from the village centre, and trips by mode and purpose

A04 How people move: walking times from the village centre, and trips by mode and purpose

A05 Access stack: walking time to bus stops, schools, clinics and metro on the street network
A05 Access stack: walking time to bus stops, schools, clinics and metro on the street network

A05 Access stack: walking time to bus stops, schools, clinics and metro on the street network

A06 Public ground and public life: mapped open spaces, and what residents say about shared space
A06 Public ground and public life: mapped open spaces, and what residents say about shared space

A06 Public ground and public life: mapped open spaces, and what residents say about shared space

A07 Built form and land use: footprints, coverage, grain and density
A07 Built form and land use: footprints, coverage, grain and density

A07 Built form and land use: footprints, coverage, grain and density

A08 Flood stack: terrain, ground height, distance to the sea and sealed surface combined into a flood exposure index
A08 Flood stack: terrain, ground height, distance to the sea and sealed surface combined into a flood exposure index

A08 Flood stack: terrain, ground height, distance to the sea and sealed surface combined into a flood exposure index

A09 Livelihood: the fishing year, the non-fishing economy and the spine from road to sea
A09 Livelihood: the fishing year, the non-fishing economy and the spine from road to sea

A09 Livelihood: the fishing year, the non-fishing economy and the spine from road to sea

A10 Needs synthesis: heat, access, flood and crowding read together on one 100 m grid
A10 Needs synthesis: heat, access, flood and crowding read together on one 100 m grid

A10 Needs synthesis: heat, access, flood and crowding read together on one 100 m grid

Aerial impression of the proposal

P01 Strategy: five municipal needs, five design goals, each tied to a measured indicator
P01 Strategy: five municipal needs, five design goals, each tied to a measured indicator

P01 Strategy: five municipal needs, five design goals, each tied to a measured indicator

P02 Today and proposal: ground, movement, green and buildings, layer by layer at the same scale
P02 Today and proposal: ground, movement, green and buildings, layer by layer at the same scale

P02 Today and proposal: ground, movement, green and buildings, layer by layer at the same scale

P03 Masterplan and networks: green network, public space network and buildings by use

P04 Movement and services: four street types, and school and green catchments

P05 Housing typologies A, B and C: unit mix, residents per bay and space per person
P05 Housing typologies A, B and C: unit mix, residents per bay and space per person

P05 Housing typologies A, B and C: unit mix, residents per bay and space per person

P06 Proposal evaluation: the 2018 masterplan measured against today on the same metrics

NEFELI MANOUDAKI

Architect-Engineer &
Creative Technologist

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