Study on Urban Spatial Expansion and Its Scale Benefit in the Yellow River Basin

Abstract

Based on nighttime light data from 2000, 2005, 2010, 2015 and 2020, the urban built-up area of 90 prefecture-level cities in the Yellow River Basin was extracted, and the urban spatial expansion characteristics of 90 prefecture-level cities were explored from the two elements of expansion speed and expansion intensity. The entropy method was used to calculate the comprehensive level of economic-, social- and ecological-scale benefits of 90 prefecture-level cities. The gray correlation degree was used to measure the correlation between urban spatial expansion and scale benefits, and the geographical detector was used to identify the driving factors of urban spatial expansion. The results show the following: (1) The urban spatial expansion characteristics of 90 prefecture-level cities in the Yellow River Basin are clearly different. From 2000 to 2020, the urban spatial area increased to 2.94 times the original, and the expansion speed and intensity increased but fluctuated significantly. (2) The comprehensive level of economic-, social- and ecological-scale benefits of 90 prefecture-level cities in the Yellow River Basin has gradually improved. (3) There is a high correlation between urban spatial expansion and economic-, social- and ecological-scale benefits in 90 prefecture-level cities in the Yellow River Basin, but there are obvious regional differences in the eastern, central and western prefecture-level cities. (4) The urban spatial expansion of the Yellow River Basin is the result of the joint action of natural factors, the economic development level, industrial structure, government regulation ability, population size and opening level. Among them, per capita GDP, population density and the proportion of secondary and tertiary industry output value to the total output value are the most important driving factors.

Spatio-temporal evolution and prediction of carbon balance in the Yellow River Basin and zoning for low-carbon economic development

“…In conclusion, CC-KDZ, CC-APZ and CC-KEZ are gradually spreading from the city center to the periphery of the city, which is in line with the theory of "core-periphery" of urban spatial layout 38 . Carbon emissions per unit county CC-APZ > CC-KDZ > CC-KEZ.…”

“…The 2020 Carbon Control-Agricultural Products Main Production Zone (CC-APZ) consists of 226 counties, including Jingtai County, Maiyang County, Shangcai County, Dingtao County and Quwo County. Spatially the CC-APZ is opposite to the spatial distribution of the CC-KDZ, with the CC-APZ west of Shanxi almost coinciding with the main stream of the middle and upper reaches of the Yellow River, and distributed on both sides of the In conclusion, CC-KDZ, CC-APZ and CC-KEZ are gradually spreading from the city center to the periphery of the city, which is in line with the theory of "core-periphery" of urban spatial layout 38 . Carbon emissions per unit county CC-APZ > CC-KDZ > CC-KEZ.…”

“…Among the various land use types, grassland has the largest share of area (40.59%), followed by unutilized land (27.30%), cultivated land (18.12%), and inpermeable surface (3.23%). Reference to relevant research 38 . In this study, 735 county-level administrative units in the basin were selected as the scope of the YRB.…”