We estimate an equilibrium model of residential sorting with endogenous traffic congestion to evaluate the efficiency and equity impacts of urban transportation policies. Leveraging fine-scale data on household travel diaries and housing transactions with home and work locations in Beijing, we...

Mandalay is the second-largest city in Myanmar and a gateway to the Bay of Bengal to neighboring economic hubs. Rapid economic and demographic growth, paired with the relaxation of import restrictions for new and used two, three, and four-wheeler has resulted in rapidly declining conditions for...

In recent years several European municipalities have paired market-based measures with urban distribution centres (UDC) in order to reduce CO2 emissions and make more sustainable urban freight ‡ows. However, UDCs may add reloading costs and extra delivery times which have relevant impact on...

In cities worldwide, the widespread use of single occupancy cars often leads to traffic congestion and its associated ill effects. Using high frequency data from Google Maps, we test whether high-occupancy vehicle (HOV) policies can be an effective tool to combat congestion. Using the unexpected...

We characterize optimal urban transportation policies in the presence of congestion and environmental externalities and evaluate their welfare and distributional effects. We present a framework of a municipal government that implements different transportation equilibria through its choice of...

We develop novel estimates of peak and off-peak price elasticities for urban mass transit demand in San Francisco using a large natural experiment with 3.6 million trip sessions and a natural field experiment that both have exogenous price subsidies. We then estimate the welfare impacts for...

This paper analyses the degree to which infrastructure reliability and urban economic activity in several African cities is impacted by flooding. It combines firm-level micro data, flood maps, and several spatial data layers across cities through a harmonized geospatial network analysis. The...