Chapter Essence
India's cities are engines of growth, magnets for talent, and crucibles of innovation — yet they remain sites of daily strain: long commutes, uneven services, and shared spaces that fall short of collective expectations. The chapter frames India's urban story as one of unfinished promise, neither decline nor adequacy.
The central argument: Cities are not merely habitats — they are a form of critical economic infrastructure. Density and proximity power productivity, deepen labour markets, and enable learning. Yet supply-side constraints in land, housing, and mobility — alongside fragmented metropolitan governance and limited fiscal autonomy — prevent Indian cities from fully realising agglomeration-led growth.
Key themes running through the chapter: land market dysfunction, restricted FSI, transport planning failures, sanitation evolution (SBM-U), housing shortage, urban governance deficit (74th Amendment gap), informal economy integration, smart city technology, civic norms, and the urban identity challenge. The chapter closes with a vision of cities that are economically dynamic, socially inclusive, environmentally sustainable, and institutionally capable — cities designed around people's time, choices, and creativity.
31%
Urban population share (Census 2011)
63%
India urban by DEGURBA method (2015 estimate)
0.15%
Property tax as % of GDP (India vs 0.3–0.6% LMIC avg)
₹8,300–₹23,800
Annual loss per skilled worker due to congestion
98%
Urban wards with door-to-door MSW collection (2025–26)
484
Urban-type settlements in Kerala beyond statutory limits (2020)
~1,036 km
Metro/RRTS operational across ~24 cities (2025)
122.06 lakh
Houses sanctioned under PMAY-U (as on 24.11.2025)
28%
Urban wastewater actually treated
₹1 lakh cr
Urban Challenge Fund (Budget 2025–26)
Agglomeration Economies — Why Cities Boost Productivity
The economic logic underpinning urbanisation rests on three mechanisms of agglomeration:
- Matching: Larger, denser cities enable more efficient matching between workers and jobs — reducing search frictions for both firms and workers.
- Learning: Frequent interactions and knowledge spillovers accelerate innovation and skill diffusion.
- Sharing: Infrastructure, services, and specialised inputs can be shared, lowering per-unit costs for firms.
Key finding (Grover, Lall & Timmis, 2021): Doubling city size typically boosts productivity by 12% in India. Edward Glaeser's "Triumph of the City" — "Cities are humanity's greatest invention because they make us more productive, more innovative, and ultimately richer."
A settlement becomes a 'city' when it crosses three thresholds simultaneously:
- Demographic scale and density — sufficient for sustenance of multiple non-agrarian livelihoods
- Economic diversification — multiple avenues of non-agrarian livelihoods
- Institutional recognition — presence of an urban local body, statutory boundary, or formal planning authority
| RBI Classification | Population Size |
|---|
| Tier 1 | 1 lakh and above |
| Tier 2 | 50,000 to 99,999 |
| Tier 3 | 20,000 to 49,999 |
| Tier 4 | 10,000 to 19,999 |
| Tier 5 | 5,000 to 9,999 |
| Tier 6 | Less than 5,000 |
Census Definition of Urban Areas: (a) Population > 5,000; (b) 75% male employment non-agricultural; (c) Population density ≥ 400 persons/sq. km — plus statutory towns. Over 70% of urban population resided in Class I cities (>1 lakh people) in 2011. India's 52 metropolitan cities (>10 lakh) alone accounted for 42.3% of all urban residents.
Urbanisation Rate Paradox
India vs. LMIC Average
- India's urbanisation rate (Census) is marginally lower than average LMICs and LICs
- Mohan (2025) attributes this to "ruralisation of industry" — rural areas account for a significant chunk of manufacturing output
- Contrast with China, East Asia, Southeast Asia — where urban manufacturing drove rural-urban migration
- DEGURBA (satellite-based) methodology: India was 63% urban in 2015 — nearly double Census 2011 figure
Top Cities & GDP
Urban Concentration of Output
- Top-10 Indian cities account for ~9% of population but ~28% of GDP — ratio of ~3x
- Far higher concentration than US (~1.5x), Germany (~1.5x), or China (~1.8x)
- World Bank: by 2036, India's cities will house 600 million people (40% of population), contributing ~70% of GDP
- "Global cities compete; Indian cities comply"
Night-Time Lights (NTL) as Urban Proxy
NTL data from satellites (via ISRO's Bhuvan geo-sensing platform, NRSC) has become a key indicator for analysing urbanisation, population density, and economic activity. Light radiance is measured in nanowatts per square centimetre per steradian (nW/cm²/sr).
- Red shading: Major urban zones, commercial districts, densely populated regions
- Pale yellow: Semi-urban or peri-urban areas
- Grey: Small villages and less-populated suburban zones
- Black: Rural regions with minimal artificial lighting
Key findings (2012–2023): Older cities like Mumbai and Bangalore show smaller increases in highly dense regions but notable peri-urban expansion. Pune and Hyderabad show substantial growth in densely populated areas AND peri-urban expansion. In 16 major cities, periphery-to-core growth ratio >1, confirming that metropolitan expansion is overwhelmingly outward.
India's Peri-Urban Challenge
India's metropolitan expansion is overwhelmingly outward — new growth concentrates in urban fringes beyond municipal boundaries. Key findings:
- In Mumbai, Chennai, Delhi, and Kolkata, urban growth is closely aligned with transport corridors and accompanied by rapid conversion of agricultural land (Debroy & Misra, 2024)
- Kerala case study (DEGURBA): By 2020, 484 urban-type settlements (48 New Urban Centres + 436 New Urbanising Settlements) exist beyond statutory limits; estimated urbanisation 80.8%
- By 2025, projected 526 spatially identified urban-type settlements — urbanisation estimate rises to 82.6% in Kerala
- Periphery-to-core ratios: as high as 5.9 in Kannur and 5.2 in Kochi
- Policy implication: Planning frameworks must adopt broader metropolitan and regional perspectives — GIS-based master plans, multimodal mobility frameworks, Special Planning Zones
The Urban Paradox: India's population scale has NOT translated proportionately into urban productivity, liveability, or global economic influence. High population density manifests as congestion, informalisation, and infrastructure stress — diluting potential productivity gains. Despite economic scale, India's cities struggle to perform as nodes in global production networks, financial systems, logistics chains, and knowledge ecosystems.
Core Structural Constraint: Indian cities remain embedded within multi-layered governance structures. Urban functions are fragmented across: Urban Local Bodies (ULBs), Development Authorities, State line departments, and Parastatal agencies. Key functions — land use, policing, utilities, cadre management — continue to be exercised at the STATE level, not the municipal tier.
OSR (Own Source Revenue) — Why ULBs are Fiscally Weak
Urban property tax is the largest OSR for ULBs, but remains minuscule relative to comparators:
- India: OSR = only 0.15% of GDP in aggregate nationwide (property tax)
- LMICs average: 0.3–0.6% of GDP
- OECD cities: roughly 2–4% of GDP; property tax alone 1–1.5%, up to 3% in some US cities
- For most large Indian cities, OSR covers only 30–40% of total municipal expenditure
- For smaller cities, OSR covers below 20% of total municipal expenditure
- Indian cities raise less than 0.6% of GDP in own-source revenues overall, borrow negligibly, and depend overwhelmingly on intergovernmental transfers
Result: Cities function primarily as implementation units rather than autonomous economic actors. "Administration disperses power to avoid blame. Governance concentrates it to enable action and accountability."
74th Amendment Gap
What Was Intended vs. Reality
- 74th Constitutional Amendment intended to empower Urban Local Bodies as the third tier of governance
- Reality: Electoral, fiscal, and administrative responsibilities remain distributed across multiple tiers
- Global contrast: Mayors in US cities oversee citywide planning, capital budgeting, service delivery — funded by strong local taxation powers
- Indian cities remain politically peripheral despite being economically central
- Mayoral leadership operates within a system where authority is shared across multiple levels
Municipal Bond Market
Emerging Urban Finance Instruments
- Municipal bonds have been issued by cities including Greater Hyderabad MC, Ahmedabad MC, Indore MC, Pune MC, Surat MC, Lucknow MC, Greater Chennai Corp., and others
- Urban Infrastructure Development Fund (UIDF): ₹10,000 crore revolving fund (Budget 2023–24) for Tier-2 and Tier-3 cities via National Housing Bank
- Urban Challenge Fund (UCF): ₹1 lakh crore (Budget 2025–26); co-finances up to 25% of cost of bankable projects; at least 50% must come from bonds, bank loans, PPPs
- Initial allocation of ₹10,000 crore in 2025–26 to kick-start the UCF
Reform Agenda for Urban Fiscal Empowerment: (1) Property tax converted to self-updating area-based or capital-value tax in all large cities, with mandatory revaluation using GIS and transaction data; (2) Cities meeting minimum revenue-effort benchmarks allowed to issue municipal bonds without state guarantees, backed by escrowed property tax or user-charge revenues; (3) Central transfers shifted from scheme-based grants to performance-linked urban block grants — rewarding cities that increase OSR, reduce approval timelines, and meet housing and mobility targets; (4) Every million-plus city to prepare a statutory 20-year City Spatial and Economic Plan (updated every 5 years) with: transport network plan, housing supply plan with annual targets, land-value capture framework.
Policy Contradiction: "Cities are expected to deliver growth, productivity, and jobs, yet policy is designed to restrain density, fragment authority, and ration urban land." Metro rail, flyovers, and expressways are built without parallel land-use reform, housing supply, or skill clustering. "Infrastructure without institutional reform is concrete without consequence."
Land as Dead Capital: In economic parlance, dead capital refers to assets unable to function as productive capital due to regulatory, legal, or market inefficiencies. In many Indian cities, land has effectively become dead capital due to: restrictive land-use regulations, title insecurity, fragmented markets, and speculative incentives leading to low land recycling.
FSI Restrictions
Floor Space Index (FSI) Problem
- Low FSI caps built-up area per unit of land — constrains vertical development, forces horizontal sprawl
- India's FSI: Thane (1), Pune (1.3), Mumbai (1.3–2.5), Ahmedabad (2), Chennai (2.5), Kolkata (3), Delhi (3.5–4), Bangalore (4)
- Global contrast: Tokyo (20), Singapore (25), New York (17), Denver (15), Hong Kong (12)
- Low FSI → artificial scarcity in core urban areas → higher land values → limited housing supply → prices rise relative to incomes
- Chennai CMDA (third master plan): considering higher FSI in key zones, mixed-use development
- MoHUA guidance document on TOD plans available for cities to optimise densities
Title Insecurity
Land Records Modernisation
- Unclear land titles, fragmented records, and opaque ownership prevent land from functioning as capital (collateral, traded in formal markets, redeveloped efficiently)
- Digital India Land Records Modernisation Programme (DILRMP): introduced ULPIN (Bhu-Aadhaar) and NGDRS (National Generic Document Registration System)
- Telangana: Bhu Bharati portal — revenue, stamps, and registration departments integrated
- Karnataka: Bhu Suraksha scheme — digital land records
- Critical caveat: FSI increase without augmenting infrastructure leads to traffic gridlocks, water shortages, overwhelmed sanitation systems
Housing Shortage Data: TG-12 (2012): 18.8 million urban housing deficit; 15 million households in congested houses. ICRIER working paper (Roy & ML, 2020): shortage rose to 29 million in 2018; 99% of shortage in low-income economic groups. Knight Frank-NAREDCO (2025): cumulative affordable housing demand by 2030 estimated at 30 million units. In India's top 8 cities, supply of affordable housing (under ₹50 lakh) declined from 52.4% in 2018 to 17% by 2025.
PMAY-U
Government Housing Intervention
- Under two phases of PMAY-U, total 122.06 lakh houses sanctioned
- 96.02 lakh completed/delivered to beneficiaries (as on 24.11.2025)
- Direct tax and GST benefits for affordable housing
- Priority-sector lending with higher LTV ratios
- Infrastructure status for affordable housing
Peripheral Housing
Affordable Housing Dilemma
- Affordable housing increasingly appears in peripheral areas — lower land cost, easier access to large plots
- But peripheral locations lack sufficient infrastructure: poor connectivity to employment centres, inadequate mass transit, limited civic amenities
- Creates a dilemma: affordable price but poor liveability and long-term appeal
- Solution: TOD principles to cluster affordable housing near transit nodes
Greenfield Cities
New Urban Experiments
- Amaravati (Andhra Pradesh): Greenfield capital city — designing urban living space from scratch
- GIFT City (Gujarat): Global financial services hub — special economic zone model
- Represent a rare window of opportunity to shape growth deliberately, rather than retrofit after congestion sets in
- Lessons from Cochin International Airport (world's first fully solar-powered airport) applicable to greenfield planning
Rent Control Legacy: Legacy rent control legislation in many cities has distorted housing markets by reducing incentives for landlords to maintain or upgrade properties, constraining the rental supply, and locking accommodation at below-market rates. This, combined with FSI restrictions, has compounded the formal housing shortage and driven migrants toward informal settlements.
Congestion Costs: CSE report on Delhi — unskilled worker loses ₹7,200–₹19,600/year; skilled worker loses ₹8,300–₹23,800/year; highly skilled loses ₹9,000–₹25,900/year due to congestion. ISEC working paper: Bengaluru lost 7.07 lakh productive hours in 2018 due to congestion — monetary cost ~₹11.7 billion. Uber-BCG (2018): traffic congestion costs in Delhi, Mumbai, Bengaluru, Kolkata = USD 22 billion/year. TomTom Traffic Index 2024: Bengaluru commuters lost 117 hours/year, Mumbai 103 hours, Delhi 76 hours.
Transit-Oriented Development (TOD)
TOD is an urban planning approach that concentrates mixed-use, higher-density development within walkable distances (500–800 metres) of transit stations — especially metro/RRTS corridors.
- National TOD Policy (2017): Encourages compact, mixed-use growth, multimodal integration, and value-capture financing around stations
- Key elements: Higher FAR in station influence zones; mixed-use zoning; value-capture tools (land value increment tax, development charges) to fund first-last mile connectivity
- First statutory TOD implementation in India: Meerut and Ghaziabad master plans notified TOD zones for Namo Bharat RRTS; New Meerut (350 ha) and New Ghaziabad/Harnandipuram (541 ha) townships planned around RRTS stations
- Global lesson: Metro divorced from TOD principles stands as an engineering project, not a city-shaping project — station areas remain low-density, poorly connected, resulting in weak farebox recovery
Metro Expansion
Mass Rapid Transit Progress
- ~1,036 km of Metro/RRTS operational across ~24 cities (as of 2025)
- Delhi–Ghaziabad–Meerut Namo Bharat RRTS: ~55 km in service; full 82 km corridor progressing
- RRTS design speed: up to 180 kmph; Delhi–Meerut travel time reduced to under 1 hour (vs. 1.5–2 hrs by road)
- RRTS financing: 20% Centre + 20% states + 60% ADB/AIIB/NDB
- Capital cost saving of ~₹6,300 crore by sharing RRTS infrastructure for Meerut Metro
- 25 lakh vehicle trips avoided since partial operations; ~69 lakh kg CO₂ offset
- Nearly 2,900 km of potential Namo Bharat RRTS corridors identified across India
Bus Transport
City Bus Deficit
- MoHUA recommends 40–60 buses per 1,00,000 people
- Nationally, only ~47,650 buses serve urban residents
- Nearly 61% of these buses concentrated in just 9 megacities
- PM e-Bus Sewa: 10,000 e-buses via PPP; ₹20,000 crore central assistance; Payment Security Mechanism for operators; 7,293 e-buses approved across 14 states and 4 UTs in FY25
- Green Mobility Credit Facility proposed: interest subvention to ~3–4%, credit guarantees, refinancing — to lower tariffs and accelerate e-bus adoption
Congestion Pricing — International Experiences (Box XV.3)
Congestion pricing charges drivers a fee for using roads during peak congestion periods — internalising external costs (delays, pollution, fuel waste). Factors determining charges: location, time (peak vs. off-peak), demand level (dynamic pricing), vehicle type. Technology: ANPR, RFID tags, GPS-based charging.
- Singapore ERP (Electronic Road Pricing, 1975/1998): Area Licensing Scheme (1975) reduced CBD car entries by ~45%. ERP (1998) achieved additional 10–15% reduction. ERP 2.0: GPS-based 'pay-as-you-drive' charging beyond fixed gantry locations. Equity concern addressed by Park-and-Ride network and improved bus services.
- London Congestion Charge (2003): Cordon-based area licensing for ~21 km² of Central London. Charge: £15/day (after revisions). Result: Traffic decreased by 16% (30% for cars); 32% reduction in congestion (delay/km); average speeds rose from 13 to 17 km/h; 150,000 fewer car trips/day into zone. Revenue hypothecation: all proceeds ring-fenced for public transport investments.
- Stockholm and New York City: Also implemented congestion pricing systems with demonstrated traffic reduction and public transport shift benefits.
- India's step: Chennai Metropolitan Area Parking Policy (2025) — treats parking as valuable real estate; prioritises walking, cycling, and public transport.
- UPSC note: Targeted congestion pricing in dense business districts (Box XV.3) with demand-based parking management is recommended as a demand management tool for Indian cities.
5-Point Mobility Reform Agenda: (a) Augment and digitise bus fleets toward 40–60 buses/lakh population; (b) Finance-first e-bus deployment via Green Mobility Credit Facility; (c) Mainstream last-mile and shared mobility — legalise and standardise share autos, e-rickshaws, bike taxis via simple permits, ONDC integration; (d) Operationalise TOD with 500–800m station influence zones, higher FAR, mixed-use zoning, value-capture financing; (e) Manage demand via congestion pricing in dense business districts and demand-based parking management.
SBM-U Progress
Swachh Bharat Mission – Urban
- SBM-U 1.0: Elimination of open defecation across all cities — most notable achievement
- SBM-U 2.0: Launched October 2021; focus shifted from access to better outcomes
- Door-to-door MSW collection: from negligible in 2014–15 to 98% of urban wards by 2025–26
- Fleet of over 2.5 lakh waste collection vehicles nationwide; GPS-enabled in large cities
- MSW generated: ~1.6 lakh tonnes/day; ~80% reported processed (vs. 16% in 2014–15)
- 15.74 lakh CTUs (Cleanliness Target Units) transformed out of 16 lakh identified; 7.75 crore citizens participated
- Indore: ranked 25th in 2016; consistently ranked 1st since 2017 through behavioural change — "Do Bin Har Din" campaign, SHGs, religious leaders, strict penalties
Garbage-Free City
Star Rating Framework
- Cities rated 1-Star to 7-Star based on door-to-door collection, segregation rates, waste processing, and legacy dumpsite remediation
- 3-Star city: ≥60% segregation, ≥70% processing
- 7-Star city: ≥90% segregation and processing + near-complete dumpsite remediation
- Assessment reveals: while door-to-door collection improved rapidly, segregation at source, waste processing, and dumpsite remediation lag behind
- Urban cleanliness is no longer primarily an access issue — it is an institutional and behavioural one
- CEEW (2025): over half of 97 root causes in SWM challenges linked to people's mindset, organisational rules, and physical facilities
Wastewater Crisis: India is the world's third-largest generator of wastewater — producing ~112 billion litres/day of domestic and industrial effluent. Urban areas account for two-thirds of this as domestic used water, yet only 28% is treated. Cities recycle only 8% of treated wastewater for reuse. Less than 27% of households are connected to underground sewerage systems.
Circular Water Economy Opportunity: Reuse of treated used water (TUW) for non-potable purposes (industrial cooling, construction, landscaping) could create a market of ₹2.4–3.2 lakh crore by 2047 and generate over 1 lakh employment opportunities. Full utilisation of current treatment capacity could free up enough freshwater to irrigate nine times the area of Delhi. 'Jal hi Amrit' initiative under AMRUT 2.0: 860 STPs with total treatment capacity of 17,613 MLD enrolled across 402 cities in 21 States and 4 UTs. Capital investment needed for 100% sewage treatment by 2047: ₹1.5–2.3 lakh crore in technologies alone.
AMRUT 2.0: Atal Mission for Rejuvenation and Urban Transformation (AMRUT) and AMRUT 2.0 complement SBM-U through investments in water supply, sewerage, drainage, and urban transport. Together with SBM-U and Smart Cities Mission, they address different aspects of urban infrastructure — coverage (AMRUT), cleanliness behaviour (SBM-U), and technology-enabled governance (Smart Cities Mission).
Smart Cities Mission (SCM): Launched June 2015; designed to transform 100 select cities by strengthening core city infrastructure, promoting sustainable citizen-focused services, and leveraging technology. Two tracks: (1) Area-based development — focused investments in selected urban districts; (2) Pan-city solutions — digital tools for water supply, mobility, waste processing, public safety, and real-time governance.
Outcomes (as of May 2025)
SCM Achievements
- Over 90% of ~8,067 projects completed
- Nearly ₹1.64 lakh crore invested
- Projects include: smart roads, cycle tracks, ICCCs, upgraded water and sewerage networks, vibrant public spaces
- All 100 Smart Cities now have operational Integrated Command and Control Centres (ICCCs)
- ICCCs use data and digital platforms to monitor urban services in real time
Technology Adoption
Urban Tech Applications
- SCADA systems: Water supply monitoring in Smart Cities
- GPS-enabled waste vehicles: Monitored through ICCCs for collection route optimisation
- Intelligent Transport Management Systems (ITMS): Improve traffic flows in dense city centres
- GIS-based planning: Master plans, property tax revaluation (recommended for large cities)
- Technology used to improve accessibility to basic education and health needs
- Digital vendor database under PM SVANidhi for better planning and monitoring of street vendors
Ease of Living Index (MoHUA, 2025) — Top 10 Cities: Pune, Navi Mumbai, Greater Mumbai, Tirupati, Chandigarh, Thane, Raipur, Indore, Vijaywada, and Bhopal. Notably, these are largely newer or Tier-2 urban centres not yet subjected to the intense population pressures of Bengaluru, Delhi, or Mumbai — offering a rare window for deliberate growth shaping.
Informality is one of the most persistent and visible features of urbanisation in India — manifesting across housing, labour markets, and enterprises. The chapter argues for a paradigm shift: from eradication to integration.
Informal Housing
Role of Slums in Urban Economy
- Informal housing and slums facilitate geographical proximity between labour and place of work
- In absence of affordable housing, settlements cluster near residential areas, industrial zones, and commercial establishments
- Slums provide access to employment and services otherwise inaccessible to low-income migrants
- From economic perspective, eviction policies "disrupt embedded capital" — location, social networks, proximity to jobs
- Recommended approach: in-situ upgrading with secure tenure, infrastructure, and incremental formalisation (as tried in Ahmedabad)
Informal Labour
Structural Importance
- A substantial share of urban employment (self-employment and casual wage work) is informal
- Informal jobs — construction, domestic work, vending, micro-services — offer flexibility and immediate income where formal jobs are scarce
- Gurugram case (mid-2025): Departure of Bengali-speaking informal sanitation workers collapsed garbage collection overnight; streets littered; residents scrambled; showed informal labour is a "foundational component of everyday urban life"
- PM SVANidhi: LOR (Letter of Recommendation) as valid ID for street vendors; national digital vendor database; expanded to census towns and peri-urban areas
Integration over Eradication: (a) Integration and upgradation of informal settlements through infrastructure provision and tenure security; (b) Recognising informal workers through simplified registration, access to social protection (e.g., PM SVANidhi), and improved working conditions raises productivity without compromising flexibility; (c) Street Vendors Act 2014 + PM SVANidhi: formalised street vending zones in Madhya Pradesh, Odisha, Assam; (d) FSSAI training of street food vendors for improved hygiene and dignified livelihoods; (e) Home-based enterprises embedded in urban supply chains — sensitive to high compliance costs, credit constraints, land access barriers.
Key Insight: "Informality is likely to remain a defining feature of our cities as India continues to urbanise further. Therefore, it becomes imperative to acknowledge this feature as a response to opportunity amid constraints." Informal housing and enterprises deliver essential goods and services at price points that formal firms often cannot match. Clusters of informal activity demonstrate significant economic output and employment intensity despite operating outside formal regulatory frameworks.
"Cities as Growth Hubs" — Urban Challenge Fund (UCF): ₹1 lakh crore announced in Budget 2025–26. Performance-linked urban financing mechanism to implement 'Cities as Growth Hubs' through 'Creative Redevelopment', water and sanitation, and bankable projects. Co-finances up to 25% of cost; at least 50% must come from bonds, bank loans, PPPs. Pushes cities toward innovative, sustainable, and bankable infrastructure development rather than entitlement-based grants.
Time as Urban Resource
Neighbourhood Planning Principle
- Most liveable global cities systematically minimise time lost to commuting, services, and uncertainty
- Neighbourhood planning: align housing, schools, anganwadis, health centres, and workplaces within short travel radii
- Commute loss reduction is fundamentally a productivity and quality-of-life intervention
Streets as Social Infrastructure
8-80 Philosophy
- Guillermo Penalosa's "8-80" principle: good streets must work equally well for an 8-year-old and an 80-year-old
- Barcelona "superblock" model: reclaims streets for walking, play, cafés, culture
- Melbourne laneways: turned leftover spaces into cultural assets
- Recommendation: 10–15% of city streets as pedestrian-first or low-traffic; "weekend streets" pilots
Creative Density
Cultural Urban Policy
- Globally engaging cities actively nurture art, music, design, food, and street culture as urban policy
- Indian cities are "culturally rich but institutionally hostile to creativity"
- Recommendation: Low-rent creative zones in inner cities (e.g., craft clusters in Jaipur) using public/underutilised land
- Single-window approvals for studios, theatres, rehearsal spaces, galleries (e.g., Okhla Institutional Area, Delhi)
Climate-Resilient Design
Nature-Based Urban Infrastructure
- Infrastructure funding conditional on city-climate plans — design for future rainfall and temperature patterns
- Grey-water reuse mandated through building codes
- Climate-responsive building codes: ventilation norms, shading, reflective materials, green roofs
- Nature-based solutions: stormwater drains integrated with lakes, wetlands, open spaces
- Ahmedabad: pioneered heat-action planning; IIM Kozhikode: rainwater harvesting; Cochin Airport: fully solar-powered
- Use of local building materials and local designs (Solar Passive Hostel, Jodhpur; TERI SRC building, Bengaluru)
Behavioural Dimensions
Gross Domestic Behaviour Survey
- 'India Today' GDB Survey: explored Civic Behaviour, Public Safety, Gender Attitudes, Diversity & Discrimination across 20 states and 2 UTs
- Finding: "Civic Behaviour reflects a blend of contradictions, where individuals acknowledge the importance of public responsibility but often struggle to uphold those values when faced with personal gain or convenience"
- Urban cleanliness is an institutional and behavioural challenge, not just an infrastructure challenge
- Elinor Ostrom's commons insight: shared spaces depend as much on norms, trust, and collective behaviour as on formal rules
- D.R. Gadgil: development outcomes shaped by institutions and social organisation, not investment alone
Participatory Governance
Citizens in Decision-Making
- Movement from procedural urban governance to participatory models
- Neighbourhood councils, participatory budgeting, cultural grants, transparent planning processes
- Planning documents, zoning changes, infrastructure proposals: publicly accessible and open to public comment by default
- "Endowment effect": citizens who feel ownership of cities assume responsibility for them like their own houses
- Improving daily service delivery reduces cognitive load and fosters stronger sense of urban ownership
Bengaluru vs. Detroit — The Human Capital City: Detroit: massive investments in highways, factories, stadia — population collapsed. Boston: infrastructure-light, old housing, narrow lanes but swarming with universities — shifted to education, finance, biotech. Bengaluru: insufficient physical infrastructure but Silicon Valley of India — grew due to concentration of engineering talent and institutions. Glaeser: "A 10 percentage point increase in the share of college graduates in a city is associated with ~0.5–1 percentage point higher annual population and income growth."
Beyond infrastructure, the quality of everyday urban life is shaped by the implicit social contract between citizens and urban institutions. The chapter argues: the difference between global and Indian cities is less about engineering and more about whether institutions make cooperation rational and worthwhile.
Fragile Social Contract
Why Civic Norms Break Down
- Where enforcement is inconsistent, service delivery unreliable, and penalties uncertain — compliance becomes contingent
- Striking contrast: Indian households invest heavily in private spaces; common spaces receive far less care
- People protect private property meticulously but hesitate to invest in common assets when collective restraint is not matched by collective benefit
- Civic order is best understood as an institutional equilibrium, not a cultural trait
- "When rules are applied unevenly, cooperation gives way to individual calculation"
Contextual Compliance
Metro Rail as Case Study (Box XV.5)
- Orderly behaviour in Indian Metro rail vs. disorderly behaviour elsewhere in same city — same people, different context
- 5 factors that make Metro work: (1) Clear design reduces ambiguity; (2) Credible, consistent, impersonal enforcement; (3) High service reliability; (4) Repeated interaction allows norms to develop; (5) Status/identity attached to space (Metro as symbol of modernity)
- Lesson: Commons works when institutions make cooperation rational, visible, and dignified
- Similar pockets: Boarding discipline in Chennai, Bengaluru metros; queue discipline at airports
5-Point Civic Order Reform: (1) Rule certainty over rule proliferation — fewer, enforceable by-laws; digitised challans; time-bound adjudication; visible enforcement in high-friction public spaces; (2) Urban design as behavioural instrument — legible street design, pedestrian priority, physically segregated lanes, defined vending zones reduce compliance costs; (3) Incentives aligned with correct behaviour — property taxes, user charges, fines transparently linked to neighbourhood service improvements; (4) Behavioural nudges — footpath markings, queue lines, bin placement at waste-generation points, countdown signals; (5) System-based awareness — repetitive, local messaging reinforcing predictable systems (not episodic campaigns).
Distributional Dimensions of Rules: Street vending, informal transport, home-based enterprises, and low-income rental housing are integral to the urban economy. Poorly designed or abruptly enforced regulations can impose disproportionate burdens on vulnerable groups. Rule certainty requires not only consistency but also fairness, consultation, and transitional support — so compliance is experienced as legitimate rather than punitive.
Global Reference: Singapore, Tokyo, London, New York — clear rules, visible and proportionate penalties, high-quality municipal services, and legible urban design make compliance the rational choice. Over time, these systems reduce the need for constant exhortation because cooperation is embedded in everyday governance. "Global cities institutionalise cooperation through design, certainty and credible enforcement."
UPSC Prelims Practice MCQs
Q1. With reference to the 74th Constitutional Amendment Act, which of the following statements is/are correct?
1. It mandates the transfer of 18 specific functions to Urban Local Bodies (ULBs).
2. It provides for the constitution of Ward Committees in municipalities with a population of one lakh or more.
3. Under the Act, ULBs in India have been granted significant administrative and fiscal autonomy comparable to global cities.
- (a) 1 and 2 only
- (b) 1 and 2 only [Note: Statement 3 is incorrect]
- (c) 2 and 3 only
- (d) 1, 2 and 3
Correct: (b) The 74th Amendment includes the 12th Schedule with 18 functions that may be transferred to ULBs, and mandates Ward Committees for municipalities with population ≥1 lakh. However, Statement 3 is incorrect — the Economic Survey 2025–26 explicitly notes that "unlike global cities that operate with significant administrative and fiscal autonomy, Indian cities remain embedded within multi-layered governance structures." Key functions like land use, policing, utilities, and cadre management remain at the state level. Indian cities raise less than 0.6% of GDP in own-source revenues and depend overwhelmingly on intergovernmental transfers.
Q2. According to the Economic Survey 2025–26, India's urban property tax as a percentage of GDP stands at approximately:
- (a) 0.6% of GDP, comparable to LMIC average
- (b) 0.3% of GDP, at the lower end of the LMIC range
- (c) 0.15% of GDP, far below the LMIC average of 0.3–0.6%
- (d) 1.0% of GDP, similar to OECD cities
Correct: (c) The Economic Survey 2025–26 states: "Urban property tax is the largest OSR (Own Source Revenue) but remains minuscule relative to comparators, being only 0.15 per cent of GDP in aggregate nationwide, compared to 0.3–0.6 per cent of GDP for low- and middle-income countries on average." OECD cities have property tax of 1–1.5% of GDP (up to 3% in some US cities), making India's gap with comparators stark.
Q3. Consider the following statements regarding Swachh Bharat Mission – Urban (SBM-U) 2.0:
1. SBM-U 2.0 was launched in October 2021, shifting focus from improving access to achieving better outcomes.
2. Door-to-door municipal solid waste collection has expanded to 98 per cent of urban wards by 2025–26.
3. Under the Garbage-Free City framework, a 7-Star city must achieve 90% segregation and 90% waste processing.
4. Indore has consistently ranked first in the Swachh Survekshan since 2016.
- (a) 1, 2 and 3 only
- (b) 2, 3 and 4 only
- (c) 1, 2 and 3 only
- (d) 1, 2, 3 and 4
Correct: (c) Statements 1, 2, and 3 are correct as per the Economic Survey. Statement 4 is incorrect — Indore ranked 25th in 2016 and has been ranked first since 2017 (not since 2016). SBM-U 2.0 launched October 2021; door-to-door collection at 98% of urban wards; 7-Star city requires ≥90% segregation AND processing plus near-complete dumpsite remediation. The Garbage-Free City framework uses a 1-Star to 7-Star rating system with progressively stringent benchmarks.
Q4. Which of the following best describes the AMRUT 2.0 initiative 'Jal hi Amrit'?
- (a) A scheme to provide piped water supply to all urban households by 2024
- (b) A programme to build rainwater harvesting structures in Smart Cities
- (c) An initiative to incentivise States and UTs to manage sewage treatment plants efficiently for recyclable good-quality treated water
- (d) A campaign to eliminate open defecation in urban areas
Correct: (c) The 'Jal hi Amrit' initiative was launched under AMRUT 2.0 by MoHUA to incentivise States and UTs to manage used water (sewage) treatment plants efficiently for ensuring recyclable, good-quality treated water meeting environmental standards. As of the Economic Survey, 860 STPs with total treatment capacity of 17,613 MLD in 402 cities across 21 States and 4 UTs have been enrolled. This is part of India's circular water economy strategy — addressing the fact that India produces ~112 billion litres/day of wastewater but only treats 28% of it.
Q5. With reference to Transit-Oriented Development (TOD) in India, consider the following:
1. The National TOD Policy was announced in 2017 and encourages compact, mixed-use growth around transit stations.
2. The first statutory implementation of TOD in India was enabled by the Namo Bharat RRTS, with TOD zones notified in the master plans of Meerut and Ghaziabad.
3. The recommended station influence zone for TOD implementation is 500–800 metres.
Which of the above statements is/are correct?
- (a) 1 and 3 only
- (b) 2 and 3 only
- (c) 1, 2 and 3
- (d) 1 only
Correct: (c) All three statements are correct. The National TOD Policy (2017) encourages compact, mixed-use growth, multimodal integration, and value-capture financing around stations. The Namo Bharat RRTS corridor represents India's first statutory TOD implementation — master plans for Meerut and Ghaziabad have notified TOD zones, with large greenfield townships (New Meerut: 350 ha; New Ghaziabad/Harnandipuram: 541 ha) planned around RRTS stations. The Economic Survey explicitly recommends implementing the National TOD Policy via 500–800 metre station influence zones with higher FAR and mixed-use zoning.
Q6. Which of the following accurately describes the Smart Cities Mission (SCM)?
1. It was launched in June 2015, targeting 100 select cities.
2. As of May 2025, over 90 per cent of ~8,067 planned projects have been completed with nearly ₹1.64 lakh crore invested.
3. All 100 Smart Cities now have operational Integrated Command and Control Centres (ICCCs).
4. The Mission focuses exclusively on area-based development projects within selected urban districts.
- (a) 1 and 2 only
- (b) 2, 3 and 4 only
- (c) 1, 2 and 3 only
- (d) 1, 2, 3 and 4
Correct: (c) Statements 1, 2, and 3 are correct. Statement 4 is incorrect — the SCM pursues BOTH (a) area-based development through focused investments in selected urban districts AND (b) pan-city solutions that deploy digital tools for water supply management, mobility, waste processing, public safety, and real-time municipal governance. ICCCs use data and digital platforms to monitor urban services, and many cities have adopted SCADA systems for water monitoring and GPS-enabled waste management systems.
Q7. With respect to congestion pricing experiences cited in the Economic Survey 2025–26, which of the following is NOT correct?
- (a) Singapore's Area Licensing Scheme (ALS), introduced in 1975, reduced car entries into the CBD by about 45 per cent
- (b) London's Congestion Charge (2003) covers approximately 21 km² of Central London and resulted in a 32 per cent reduction in congestion
- (c) Singapore's ERP 2.0 system continues to use fixed gantry locations along key expressways and arterial roads for charging
- (d) London's congestion charge revenue is legally ring-fenced for public transport investments through revenue hypothecation
Correct: (c) This statement about Singapore is INCORRECT. The Economic Survey explicitly states that Singapore's ERP 2.0 extends congestion pricing beyond fixed gantry locations by enabling spatially dynamic, GPS-based 'pay-as-you-drive' charging — in contrast to the previous ERP system that used fixed gantries along expressways and arterial roads. All other statements are accurate: Singapore's ALS (1975) reduced CBD car entries by ~45%; London's Congestion Charge covers ~21 km² with 32% congestion reduction; and London legally ring-fences all proceeds for public transport through revenue hypothecation.
Q8. The DEGURBA (Degree of Urbanisation) methodology used in the Economic Survey 2025–26's analysis of Kerala classifies settlements into three categories. Which of the following is the correct classification criterion for an "Urban Centre"?
- (a) Population density ≥400 persons/km² and total population ≥5,000 people
- (b) Population density ≥300 persons/km² and total population ≥5,000 people
- (c) Population density ≥1,500 persons/km² and total population ≥50,000 people
- (d) Population density ≥1,000 persons/km² and total population ≥20,000 people
Correct: (c) The Economic Survey's Box XV.1 on Kerala specifies the DEGURBA (GHS-SMOD) classification criteria: Urban Centres require ≥1,500 persons/km² AND ≥50,000 people total; Urban Clusters require ≥300 persons/km² AND ≥5,000 people total; remaining areas are classified as Rural. Option (a) reflects the Census of India's statutory urban definition (400 persons/km² and population >5,000). Using this methodology, Kerala's estimated urbanisation increased to ~80.8% in 2020 (vs. statutory 53.81%), and 82.6% in 2025 estimates.
