How does your city move?
Transport quality of life rankings for 10 Indian cities, based on 19 open-source indicators from WHO, GHSCI & DEFRA.
Framework: GHSCI (Lancet 2022), WHO HEAT, DEFRA/EPA
"Open-source transport QOL assessment — GHSCI-derived dimensions, equal-weight composite"
Chennai
7 points from grade B — improving data coverage would enable targeted upgrade analysis
Active & Sustainable Mobility
Weight: 25% | Score: 36%Transit Infrastructure & Access
Weight: 25% | Score: 68%Safety & Liveability
Weight: 25% | Score: 51%Environmental Health
Weight: 25% | Score: 57%Biggest Gap
Active & Sustainable Mobility → Cycle Infrastructure
Only 20 km of dedicated cycle infrastructure, compounded by cycling share at just 4% of trips
Recommendation
Building 60 km of protected cycle lanes would significantly improve active mobility access
Data Readiness
59%Publishing walking/cycling infrastructure data enables corridor-level safety analysis
Kolkata Metropolitan Region
11 points from grade B — improving data coverage would enable targeted upgrade analysis
Active & Sustainable Mobility
Weight: 25% | Score: 51%Transit Infrastructure & Access
Weight: 25% | Score: 39%Safety & Liveability
Weight: 25% | Score: 59%Environmental Health
Weight: 25% | Score: 51%Biggest Gap
Transit Infrastructure & Access → Transit Stop Density
Transit stop density of 1.1 stops/km², compounded by bus fleet of only 20 per lakh population
Recommendation
Adding feeder bus routes in underserved areas would improve stop density and last-mile coverage
Data Readiness
63%New Town Rajarhat lacks published bus route and walking infrastructure data; WBTC publishing GTFS feeds and KMC mapping footpath encroachment would enable corridor-level NMT analysis
Kochi
15 points from grade B — improving data coverage would enable targeted upgrade analysis
Active & Sustainable Mobility
Weight: 25% | Score: 29%Transit Infrastructure & Access
Weight: 25% | Score: 25%Safety & Liveability
Weight: 25% | Score: 57%Environmental Health
Weight: 25% | Score: 73%Biggest Gap
Transit Infrastructure & Access → Transit Stop Density
Transit stop density of 1.4 stops/km², compounded by rail transit network at 29 km
Recommendation
Adding feeder bus routes in underserved areas would improve stop density and last-mile coverage
Data Readiness
43%Publishing safety and NMT infrastructure data unlocks health dimension scoring
Mumbai Metropolitan Region
15 points from grade B — improving data coverage would enable targeted upgrade analysis
Active & Sustainable Mobility
Weight: 25% | Score: 32%Transit Infrastructure & Access
Weight: 25% | Score: 43%Safety & Liveability
Weight: 25% | Score: 45%Environmental Health
Weight: 25% | Score: 61%Biggest Gap
Active & Sustainable Mobility → Cycle Infrastructure
Only 23 km of dedicated cycle infrastructure, compounded by cycling share at just 3% of trips
Recommendation
Building 69 km of protected cycle lanes would significantly improve active mobility access
Data Readiness
52%TMT, NMMT, and KDMT do not publish GTFS feeds, making satellite city transit coverage hard to verify; no OpenAQ sensors are configured for the MMR, and walking infrastructure data is unavailable across all four constituent cities
Hyderabad
1 points from grade C — improving data coverage would enable targeted upgrade analysis
Active & Sustainable Mobility
Weight: 25% | Score: 28%Transit Infrastructure & Access
Weight: 25% | Score: 33%Safety & Liveability
Weight: 25% | Score: 55%Environmental Health
Weight: 25% | Score: 63%Biggest Gap
Active & Sustainable Mobility → Cycle Infrastructure
Only 31 km of dedicated cycle infrastructure, compounded by cycling share at just 5% of trips
Recommendation
Building 93 km of protected cycle lanes would significantly improve active mobility access
Data Readiness
61%Publishing walking/cycling infrastructure data would enable complete active mobility assessment
Greater Bengaluru
4 points from grade C — improving data coverage would enable targeted upgrade analysis
Active & Sustainable Mobility
Weight: 25% | Score: 32%Transit Infrastructure & Access
Weight: 25% | Score: 47%Safety & Liveability
Weight: 25% | Score: 46%Environmental Health
Weight: 25% | Score: 42%Biggest Gap
Active & Sustainable Mobility → Cycle Infrastructure
Only 30 km of dedicated cycle infrastructure, compounded by cycling share at just 5% of trips
Recommendation
Building 90 km of protected cycle lanes would significantly improve active mobility access
Data Readiness
74%Publishing walking/cycling infrastructure GIS data enables corridor-level gap analysis
Pune Metropolitan Region
7 points from grade C — improving data coverage would enable targeted upgrade analysis
Active & Sustainable Mobility
Weight: 25% | Score: 38%Transit Infrastructure & Access
Weight: 25% | Score: 43%Safety & Liveability
Weight: 25% | Score: 48%Environmental Health
Weight: 25% | Score: 25%Biggest Gap
Environmental Health → PM₂.₅
PM2.5 at 182 µg/m³ — 12.1x the WHO guideline, compounded by green cover at only 1.2 m² per person — below WHO minimum of 9 m\u00B2
Recommendation
Fleet electrification + congestion pricing could cut transport-related PM2.5 by 30%
Data Readiness
48%PMPML does not publish separate ridership data for PMC vs PCMC zones, making it impossible to assess whether Pimpri-Chinchwad gets proportional bus service; PCMC lacks pedestrian audit data
Ahmedabad
12 points from grade C — improving data coverage would enable targeted upgrade analysis
Active & Sustainable Mobility
Weight: 25% | Score: 31%Transit Infrastructure & Access
Weight: 25% | Score: 21%Safety & Liveability
Weight: 25% | Score: 42%Environmental Health
Weight: 25% | Score: 41%Biggest Gap
Transit Infrastructure & Access → Transit Stop Density
Transit stop density of 0.3 stops/km², compounded by rail transit network at 40 km
Recommendation
Adding feeder bus routes in underserved areas would improve stop density and last-mile coverage
Data Readiness
52%Publishing AMTS GTFS feeds and walking infrastructure data enables corridor-level access analysis
National Capital Region
14 points from grade C — improving data coverage would enable targeted upgrade analysis
Active & Sustainable Mobility
Weight: 25% | Score: 22%Transit Infrastructure & Access
Weight: 25% | Score: 47%Safety & Liveability
Weight: 25% | Score: 30%Environmental Health
Weight: 25% | Score: 26%Biggest Gap
Active & Sustainable Mobility → Footpath Coverage
Only 22% of roads have paved footpaths, compounded by cycling share at just 5% of trips
Recommendation
Mandating footpaths on all arterial and sub-arterial roads would improve walkability scores — Gurugram has ~10% footpath coverage (notoriously poor pedestrian infrastructure) vs Delhi's 25%
Data Readiness
46%Noida and Ghaziabad publish no city bus data (zero dedicated services), Gurugram lacks pedestrian audit data, and none of the satellite cities publish open GTFS feeds or walking infrastructure data
Indore
11 points from grade D — reducing VRU fatality share from 42% to 29%, reducing fatalities from 18.3 to 10.2 per lakh, and expanding footpath coverage from 20% to 55% would add 7 points toward this target
Active & Sustainable Mobility
Weight: 25% | Score: 22%Transit Infrastructure & Access
Weight: 25% | Score: 13%Safety & Liveability
Weight: 25% | Score: 14%Environmental Health
Weight: 25% | Score: 30%Biggest Gap
Transit Infrastructure & Access → Transit Stop Density
Transit stop density of 1.8 stops/km², compounded by rail transit network at 6 km
Recommendation
Adding feeder bus routes in underserved areas would improve stop density and last-mile coverage
Data Readiness
30%Publishing bus frequency and walking infrastructure data enables transit coverage gap analysis