Comparative Study of Small-Area Population Prediction Methods, GWR, and CCR: A Case Study of Wuhan, China

Author:

Xiang Huali1ORCID,Ai Xucan2ORCID,Gao Huichen3ORCID

Affiliation:

1. Professor, School of Public Administration, Sustainable Development, and Public Policy Center, Zhongnan Univ. of Economics and Law, No. 182, Nanhu Ave., East Lake High-Tech Development Zone, Wuhan 430073, China. ORCID: .

2. Master’s Student, School of Public Administration, Sustainable Development, and Public Policy Center, Zhongnan Univ. of Economics and Law, No. 182, Nanhu Ave., East Lake High-Tech Development Zone, Wuhan 430073, China. ORCID: .

3. Lecturer, School of Economics, Sustainable Development, and Public Policy Center, Zhongnan Univ. of Economics and Law, No. 182, Nanhu Ave., East Lake High-Tech Development Zone, Wuhan 430073, China (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Reference45 articles.

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2. The seventh population census in the PRC: Results and prospects of the country’s demographic development;Akimov A. V.;Her. Russ. Acad. Sci.,2021

3. The United Nations probabilistic population projections: An introduction to demographic forecasting with uncertainty;Alkema L.;Foresight (Colchester, Vt.),2015

4. Probabilistic projections of the total fertility rate for all countries;Alkema L.;Demography,2011

5. Transit-Oriented Development in Saudi Arabia: Riyadh as a Case Study

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