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作者

Kathryn Baragwanath;Ran Goldblatt;Gordon Hanson;Amit K. Khandelwal

来源

来源 JOURNAL OF URBAN ECONOMICS,Vol.125,P.

语言

英文

关键字

Satellite;Landsat;Nightlight data;Market access;Cities;Urbanization;R1;O1;O18

作者单位

UCSD, United States;New Light Technologies, United States;UCSD & NBER, United States;Columbia GSB & NBER, United States;UCSD, United States;New Light Technologies, United States;UCSD & NBER, United States;Columbia GSB & NBER, United States

摘要

We propose a methodology for defining urban markets based on builtup landcover classified from daytime satellite imagery. Compared to markets defined using minimum thresholds for nighttime light intensity, daytime imagery identify an order of magnitude more markets, capture more of India’s urban population, are more realistically jagged in shape, and reveal more variation in the spatial distribution of economic activity. We conclude that daytime satellite data are a promising source for the study of urban forms.