TY - GEN
T1 - Analysis on Influencing Factors of urban comprehensive carrying capacity
T2 - 29th International Conference on Geoinformatics, Geoinformatics 2022
AU - Han, Chuqiao
AU - Zheng, Jianghua
AU - Lu, Binbin
AU - Yu, Danlin
N1 - Funding Information:
ACKNOWLEDGMENT This research was funded by The National Natural Science Foundation of China (NO. 41461035) and Xinjiang "Tianshan Cedar" project (NO.2020XS04). Thanks to the Resources and Environment Science and Data Center and OpenStreetMap for providing data support, at the same time, thanks for the friendly help of the students.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - North west China is a typical arid and semiarid region. Due to the constraints of natural factors such as climate, and hydrology, the natural conditions are harsh and the ecosystem is relatively sensitive. Compared with other provinces and regions, the urban comprehensive carrying capacity is more fragile, scientific and reasonable evaluation of the urban comprehensive carrying capacity is of great practical significance to urban sustainable development. In this paper, nine indicators are selected from the four aspects of population, economy, construction and transportation to construct the evaluation index system of the urban comprehensive carrying capacity. Entropy weight method (EWM) and linear weighted sum method are used to calculate the urban comprehensive carrying capacity of the five provinces in Northwest China in 2020, and the classification and spatial differentiation analysis are carried out. Ordinary least squares (OLS) and geographically weighted regression (GWR) were used to analyze the influencing factors of the urban comprehensive carrying capacity in Northwest China. Results indicated that: The overall level of the urban comprehensive carrying capacity in northwest China is relatively low and its spatial distribution is extremely unbalanced, showing the spatial distribution characteristics of Xi'an, Urumqi and Lanzhou as 'three cores', and forming positive radiation effect on the surrounding areas. Per capita GDP, population density, per capita construction land area and road network density are the main factors affecting the urban comprehensive carrying capacity in this region, and all play a positive role in improving the urban comprehensive carrying capacity.
AB - North west China is a typical arid and semiarid region. Due to the constraints of natural factors such as climate, and hydrology, the natural conditions are harsh and the ecosystem is relatively sensitive. Compared with other provinces and regions, the urban comprehensive carrying capacity is more fragile, scientific and reasonable evaluation of the urban comprehensive carrying capacity is of great practical significance to urban sustainable development. In this paper, nine indicators are selected from the four aspects of population, economy, construction and transportation to construct the evaluation index system of the urban comprehensive carrying capacity. Entropy weight method (EWM) and linear weighted sum method are used to calculate the urban comprehensive carrying capacity of the five provinces in Northwest China in 2020, and the classification and spatial differentiation analysis are carried out. Ordinary least squares (OLS) and geographically weighted regression (GWR) were used to analyze the influencing factors of the urban comprehensive carrying capacity in Northwest China. Results indicated that: The overall level of the urban comprehensive carrying capacity in northwest China is relatively low and its spatial distribution is extremely unbalanced, showing the spatial distribution characteristics of Xi'an, Urumqi and Lanzhou as 'three cores', and forming positive radiation effect on the surrounding areas. Per capita GDP, population density, per capita construction land area and road network density are the main factors affecting the urban comprehensive carrying capacity in this region, and all play a positive role in improving the urban comprehensive carrying capacity.
KW - Arid and semiarid
KW - Influencingfactors
KW - Spatial differentiation
KW - Sustainable development
KW - Urban comprehensive carrying capacity
UR - http://www.scopus.com/inward/record.url?scp=85143899883&partnerID=8YFLogxK
U2 - 10.1109/Geoinformatics57846.2022.9963843
DO - 10.1109/Geoinformatics57846.2022.9963843
M3 - Conference contribution
AN - SCOPUS:85143899883
T3 - International Conference on Geoinformatics
BT - Proceedings - 2022 29th International Conference on Geoinformatics, Geoinformatics 2022
A2 - Hu, Shixiong
A2 - Ye, Xinyue
A2 - Lin, Hui
A2 - Gao, Song
A2 - Zheng, Xinqi
A2 - Zhang, Chunxiao
PB - IEEE Computer Society
Y2 - 15 August 2022 through 18 August 2022
ER -
