Redirigiendo al acceso original de articulo en 18 segundos...
ARTÍCULO
TITULO

Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China

Yiyi Huang    
Tao Lin    
Guoqin Zhang    
Wei Zhu    
Nicholas A. S. Hamm    
Yuqin Liu    
Junmao Zhang and Xia Yao    

Resumen

Population spatialization data is crucial to conducting scientific studies of coupled human?environment systems. Although significant progress has been made in population spatialization, the spatialization of different age populations is still weak. POI data with rich information have great potential to simulate the spatial distribution of different age populations, but the relationship between spatial distributions of POI and different age populations is still unclear, and whether it can be used as an auxiliary variable for the different age population spatialization remains to be explored. Therefore, this study collected and sorted out the number of different age populations and POIs in 2846 county-level administrative units of the Chinese mainland in 2010, divided the research data by region and city size, and explored the relationship between the different age populations and POIs. We found that there is a complex relationship between POI and different age populations. Firstly, there are positive, moderate-to-strong linear correlations between POI and population indicators. Secondly, POI has a different explanatory power for different age populations, and it has a higher explanatory power for the young and middle-aged population than the child and old population. Thirdly, the explanatory power of POI to different age populations is positively correlated with the urban economic development level. Finally, a small number of a certain kinds of POIs can be used to effectively simulate the spatial distributions of different age populations, which can improve the efficiency of obtaining spatialization data of different age populations and greatly save on costs. The study can provide data support for the precise spatialization of different age populations and inspire the spatialization of the other population attributes by POI in the future.

 Artículos similares

       
 
José Francisco Vergara-Perucich    
This paper aims to empirically review the process of housing financialisation in London, exploring a time series causal relationship between house prices and financial instruments, using the Granger method and a VAR test. In order to carry out this analy... ver más
Revista: Urban Science

 
Ahsen Maqsoom, Hassan Ashraf, Wesam Salah Alaloul, Alaa Salman, Fahim Ullah, Maria Ghufran and Muhammad Ali Musarat    
Job stress (JS) is a significant issue in the construction industry of developing countries. This study aims to examine the impact of error-management climate (EMC), safety climate (SC), and psychological capital (PC) (as a mediator) on employee JS in th... ver más
Revista: Buildings

 
Chun-Rui Wang, Liang-Min Huang, Jia-Yue Yu, Jian-Di Cai and Ta-Jen Chu    
Tourist satisfaction is an important reference in destination management decisions, but on-site validation is often lacking. By exploring the relationship between the current situation of recreational fishery and tourism satisfaction evaluation, we can a... ver más
Revista: Water

 
Liang Zhang, Sha Sha, Qiang Zhang, Funian Zhao, Jianhua Zhao, Hongyu Li, Sheng Wang, Jianshun Wang, Yanbin Hu and Hui Han    
The interaction between soil moisture (SM) and evaporative fraction (EF), which reflects the degree of exchange of water and energy between the land and the atmosphere, is an important component of the theory of land?atmosphere coupling. Exploring the re... ver más
Revista: Hydrology

 
Miguel Saraiva and Bárbara Teixeira    
In post-pandemic, climate-changing societies, the presence of urban greenspace assumes paramount functions, at the same time that socio-economic crises and shocks augment vulnerabilities and insecurities. The recent literature on environmental criminolog... ver más