We develop a methodology to estimate robust city-level vehicular mobility indices, and apply it to 154 Indian cities using 22 million counterfactual trips measured by a web mapping service. There is wide variation in mobility across cities. An exact decomposition shows this variation is driven more by differences in uncongested mobility than congestion. Under plausible assumptions, a one-standard-deviation improvement in uncongested speed creates much more mobility than optimal congestion pricing. Denser and more populated cities are slower, only in part because of congestion. Urban economic development is correlated with better (uncongested and overall) mobility despite worse congestion.
Affordable Housing Architecture Asia Borrowing Constraints Canada China Colombia Commercial Brokerage covid-19 CRE Credit Risk Transfers Debt Market Demographics Development e-Commerce Equity Market Ethnic Factors Europe Foreclosures Global Global Financial Crisis hospitality Housing & Residential Housing Supply India inflation Investing land use regulation Macroeconomics Microeconomics Mixed-Use Mobility Mortgage Rates Mortgages Multi-family Non-Traditional Mortgages office sector Political Risk Real Estate Investment Trusts Recession Rental Retail South America Sub-Prime Mortgages Sustainability United States Urban Urbanization work from home