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City-Size Distribution as a Function of Socioeconomic Conditions: An Eclectic Approach to Downscaling Global Population

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dc.contributor.author Nam, K.-M.
dc.contributor.author Reilly, J.M.
dc.date.accessioned 2012-05-10T14:52:49Z
dc.date.available 2012-05-10T14:52:49Z
dc.date.issued 2012-03
dc.identifier.uri http://hdl.handle.net/1721.1/70561
dc.description http://globalchange.mit.edu/research/publications/2254 en_US
dc.description.abstract In this study, we introduce a new method of downscaling global population distribution, for which purpose conventional approaches have serious limitations in application. Our approach is “eclectic,” as it explores the intersection between an optimization framework and the empirical regularities involved in rank-size distributions. The novelty of our downscaling model is that it allows city-size distributions to interact with socioeconomic variables. Our contribution to the urban studies literature is twofold. One is our challenge to the conventional view that the proportionate growth dynamics underlies empirical rank-size regularities. We first show that the city-size distribution of a region can deviate substantially from a log-normal distribution with cross-regional and time variations, and then demonstrate that such variations can be explained by certain socioeconomic conditions that each region confronts at a particular time point. In addition to expanding academic debates on city-size distributions, our study can pave the way for various academic and professional research projects, which need spatial distribution of global population at fine grid cell levels as key input. Our model is applicable to the entire globe, including regions for which reliable sub-regional population data sets are limitedly available, and can be extended easily to function as a forecasting model. en_US
dc.description.sponsorship The Joint Program on the Science and Policy of Global Change is funded by the U.S. Department of Energy, Office of Science under grants DE-FG02-94ER61937, DE-FG02- 93ER61677, DE-FG02-08ER64597, and DE-SC0003906; the U.S. Department of Energy, National Renewable Energy Laboratory under grant XEU-0-9920-01; the U.S. Environmental Protection Agency under grants XA-83344601-0, XA-83240101, PI-83412601-0, and RD- 83427901-0; the U.S. National Science Foundation under grants SES-0825915, EFRI-0835414, BCS-0410344, ATM-0329759, DMS-0426845, and AGS-0944121; the U.S. National Aeronautics and Space Administration under grants NNX07AI49G, NNX08AY59A, NNX06AC30A, NNX09AK26G, NNX08AL73G, NNX09AI26G, NNG04GJ80G, NNG04GP30G, and NNA06CN09A; the U.S. National Oceanic and Atmospheric Administration under grant NA070AR4310050; the U.S. Federal Aviation Administration under grants 06-C-NE-MIT and 09-C-NE-MIT; the U.S. Department of Transportation under grant DTRT57-10-C-10015; the U.S. Department of Agriculture under grant 58-0111-9-001; the Electric Power Research Institute under grant EP-P32616/C15124; and a consortium of 40 industrial and foundation sponsors en_US
dc.language.iso en_US en_US
dc.publisher MIT Joint Program on the Science and Policy of Global Change en_US
dc.relation.ispartofseries Joint Program Report Series;213
dc.rights An error occurred on the license name. en
dc.rights.uri An error occurred getting the license - uri. en
dc.title City-Size Distribution as a Function of Socioeconomic Conditions: An Eclectic Approach to Downscaling Global Population en_US
dc.type Technical Report en_US
dc.identifier.citation Report no. 213 en_US


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