As centers of human activity,cities concentrate populations,resources,and wealth in limited areas.According to the United Nations,55%of the global population now lives in urban areas[1].Moreover,the World Economic Fo...As centers of human activity,cities concentrate populations,resources,and wealth in limited areas.According to the United Nations,55%of the global population now lives in urban areas[1].Moreover,the World Economic Forum’s“Global Risks Report 2023”[2]highlights natural disasters as a major threat to sustainable development,especially for densely populated cities.展开更多
Population distribution and agglomeration patterns are critical indicators of regional economic and social development.Analyzing Nepal’s population distribution and agglomeration patterns can provide valuable insight...Population distribution and agglomeration patterns are critical indicators of regional economic and social development.Analyzing Nepal’s population distribution and agglomeration patterns can provide valuable insights into the underlying spatial distribution,while offering data support and theoretical foundations for formulating effective regional development strategies.This study uses population and land data from Nepal’s counties for the years 1981,2001,and 2021,and employs quantitative analysis methods,including the Gini coefficient,population growth rate,and population concentration index to systematically examine the spatiotemporal evolution and agglomeration patterns.The results show three key insights.(1)The degree of population distribution imbalance has increased,with the Gini coefficient rising from 0.424 in 1981 to 0.531 in 2021.(2)Population growth follows a regional pattern of“rapid growth in the south and slower growth in the north,”with the Terai Plain experiencing rapid expansion,the central mountainous region growing steadily,and the northern highland areas experiencing slow growth.(3)The population concentration displays a tiered distribution pattern of“high concentration in the plains,significant differentiation in the mountainous areas,and extreme sparsity in the high mountain regions”.展开更多
基金the Ministry of Science and Technology National Key Research and Development Program(2023YFC3805000)the National Natural Science Foundation of China(52025083 and 52208501)the Shanghai Science and Technology Innovation Action Plan(22dz1201400).
文摘As centers of human activity,cities concentrate populations,resources,and wealth in limited areas.According to the United Nations,55%of the global population now lives in urban areas[1].Moreover,the World Economic Forum’s“Global Risks Report 2023”[2]highlights natural disasters as a major threat to sustainable development,especially for densely populated cities.
基金The CAS-ANSO Sustainable Development Research Project(CAS-ANSO-SDRP-2024-05)。
文摘Population distribution and agglomeration patterns are critical indicators of regional economic and social development.Analyzing Nepal’s population distribution and agglomeration patterns can provide valuable insights into the underlying spatial distribution,while offering data support and theoretical foundations for formulating effective regional development strategies.This study uses population and land data from Nepal’s counties for the years 1981,2001,and 2021,and employs quantitative analysis methods,including the Gini coefficient,population growth rate,and population concentration index to systematically examine the spatiotemporal evolution and agglomeration patterns.The results show three key insights.(1)The degree of population distribution imbalance has increased,with the Gini coefficient rising from 0.424 in 1981 to 0.531 in 2021.(2)Population growth follows a regional pattern of“rapid growth in the south and slower growth in the north,”with the Terai Plain experiencing rapid expansion,the central mountainous region growing steadily,and the northern highland areas experiencing slow growth.(3)The population concentration displays a tiered distribution pattern of“high concentration in the plains,significant differentiation in the mountainous areas,and extreme sparsity in the high mountain regions”.
