Cargando…

Understanding China’s urban system evolution from web search index data

The spatial inequilibrium phenomenon is apparent during China’s rapid urbanization in the past four decades. As the fertility rate decreases and the population ages, this phenomenon will become more critical. To accurately forecast the future economic development of China, it is necessary to quantif...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Hao, Zhang, Weiyu, Du, Haode, Kang, Chaogui, Liu, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959800/
https://www.ncbi.nlm.nih.gov/pubmed/35371907
http://dx.doi.org/10.1140/epjds/s13688-022-00332-y
_version_ 1784677240443764736
author Guo, Hao
Zhang, Weiyu
Du, Haode
Kang, Chaogui
Liu, Yu
author_facet Guo, Hao
Zhang, Weiyu
Du, Haode
Kang, Chaogui
Liu, Yu
author_sort Guo, Hao
collection PubMed
description The spatial inequilibrium phenomenon is apparent during China’s rapid urbanization in the past four decades. As the fertility rate decreases and the population ages, this phenomenon will become more critical. To accurately forecast the future economic development of China, it is necessary to quantify the attractiveness of individual cities. This study introduces web search data to quantify the attractiveness of cities with a fine spatial scale (prefecture-level city) and relatively long-term span (nine years). Results confirm that the estimated city attractiveness can unravel a city’s capability to attract labor force, and suggest that tourism and health care functions of a city have a positive effect to the city’s attractiveness. Additionally, China’s north-south gap in economic development has been widened in the past decade, and 11 cities with nationwide influence have prosperous development potential. This study provides a new lens for predicting China’s economic development, as well as its spatial patterns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epjds/s13688-022-00332-y.
format Online
Article
Text
id pubmed-8959800
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-89598002022-03-29 Understanding China’s urban system evolution from web search index data Guo, Hao Zhang, Weiyu Du, Haode Kang, Chaogui Liu, Yu EPJ Data Sci Regular Article The spatial inequilibrium phenomenon is apparent during China’s rapid urbanization in the past four decades. As the fertility rate decreases and the population ages, this phenomenon will become more critical. To accurately forecast the future economic development of China, it is necessary to quantify the attractiveness of individual cities. This study introduces web search data to quantify the attractiveness of cities with a fine spatial scale (prefecture-level city) and relatively long-term span (nine years). Results confirm that the estimated city attractiveness can unravel a city’s capability to attract labor force, and suggest that tourism and health care functions of a city have a positive effect to the city’s attractiveness. Additionally, China’s north-south gap in economic development has been widened in the past decade, and 11 cities with nationwide influence have prosperous development potential. This study provides a new lens for predicting China’s economic development, as well as its spatial patterns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epjds/s13688-022-00332-y. Springer Berlin Heidelberg 2022-03-28 2022 /pmc/articles/PMC8959800/ /pubmed/35371907 http://dx.doi.org/10.1140/epjds/s13688-022-00332-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Regular Article
Guo, Hao
Zhang, Weiyu
Du, Haode
Kang, Chaogui
Liu, Yu
Understanding China’s urban system evolution from web search index data
title Understanding China’s urban system evolution from web search index data
title_full Understanding China’s urban system evolution from web search index data
title_fullStr Understanding China’s urban system evolution from web search index data
title_full_unstemmed Understanding China’s urban system evolution from web search index data
title_short Understanding China’s urban system evolution from web search index data
title_sort understanding china’s urban system evolution from web search index data
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959800/
https://www.ncbi.nlm.nih.gov/pubmed/35371907
http://dx.doi.org/10.1140/epjds/s13688-022-00332-y
work_keys_str_mv AT guohao understandingchinasurbansystemevolutionfromwebsearchindexdata
AT zhangweiyu understandingchinasurbansystemevolutionfromwebsearchindexdata
AT duhaode understandingchinasurbansystemevolutionfromwebsearchindexdata
AT kangchaogui understandingchinasurbansystemevolutionfromwebsearchindexdata
AT liuyu understandingchinasurbansystemevolutionfromwebsearchindexdata