![]() ![]() In short, we find that HOV policies can greatly improve traffic conditions.ĭebunking the Stereotype of the Lazy Welfare Recipient: Evidence from Cash Transfer Programs Worldwide, (with Abhijit Banerjee, Rema Hanna, and Ben Olken), World Bank Research Observer, Vol. ![]() The lifting of the policy led to worse traffic throughout the city, even on roads that had never been restricted or at times when restrictions had never been in place. After the policy was abruptly abandoned in April 2016, delays rose from 2.1 to 3.1 minutes per kilometer (min/km) in the morning peak and from 2.8 to 5.3 min/km in the evening peak. We studied Jakarta’s “three-in-one” policy, which required all private cars on two major roads to carry at least three passengers during peak hours. Using anonymized traffic speed data from Android phones collected through Google Maps, we investigated whether high-occupancy vehicle (HOV) policies can combat congestion. Press coverage: Los Angeles Times, CNN, Spectrum IEEE, The GuardianĪbstract: Widespread use of single-occupancy cars often leads to traffic congestion. We show that hartals (transportation strikes) in Dhaka reduce commuting more for high model-predicted wage and high-skill commuters.Ĭitywide effects of high-occupancy vehicle restrictions: Evidence from “three-in-one” in Jakarta, (with Rema Hanna and Ben Olken), Science, Vol. Unlike machine learning approaches, our method does not require training data, yet achieves comparable predictive power. Model-predicted income predicts separate income data, at the workplace and residential level, and by skill group. We implement this method with cell phone transaction data from Dhaka and Colombo. A simple workplace choice model predicts a gravity equation for commuting flows whose destination fixed effects correspond to wages. With Yuhei Miyauchi, updated February 2021 (Accepted, The Review of Economics and Statistics) Working paper, NBERĪbstract: We show how to use commuting flows to infer the spatial distribution of income within a city. Measuring Commuting and Economic Activity inside Cities with Cell Phone Records Overall, these results suggest limited commuter welfare benefits from peak-spreading traffic policies in cities like Bangalore. This result is driven primarily by the shape of the congestion externality. My policy simulations with endogenous congestion indicate that optimal congestion charges would lead to a small reduction in travel times, and small commuter welfare gains. I then show that in Bangalore, traffic density has a moderate and linear impact on travel delay. Commuter responses in the experiment reveal moderate schedule inflexibility and a high value of time. To measure travel preferences, I use a model of departure time choice to design a field experiment with congestion pricing policies and implement it using precise GPS data. I study the peak-hour traffic congestion equilibrium in Bangalore. (resubmitted, Econometrica)Ībstract: Developing country megacities suffer from severe road traffic congestion, yet the level of congestion is not a direct measure of equilibrium inefficiency. Peak-Hour Road Congestion Pricing: Experimental Evidence and Equilibrium Implications ![]()
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