Abstract

Urban land intensive use meets the requirements for the sustainable development of urban land and is an important part of urban sustainable development. The Yangtze River Economic Belt (YREB) spans the three major regions of China, which are the most active areas of China’s economy. The contradiction between humans and land is becoming more acute. There are also regional differences in land use patterns affecting the coordinated development of the YREB and the construction of an ecological civilization. Therefore, the scientific evaluation of urban land intensive use is a key area in the current research field of urban sustainable development. In this study, the YREB is chosen as the research object, and urban land intensive use is studied using nighttime light data and statistical data on the urban built-up area. An evaluation model based on urban nighttime light intensity and land urbanization is constructed with an allometric growth model. Considering that the impact of land urbanization on urban nighttime light has a possible lag effect, an evaluation model of land intensive use that considers the lag effect between urban nighttime light and the land urbanization level is proposed. Using urban agglomerations and some typical cities in the study area as research samples, the characteristics of urban nighttime light and land urbanization are analyzed to reveal the spatial and temporal characteristics of land development in the YREB. The results show that nighttime light remote-sensing data can better reflect the level of urban land use, the allometric growth model can better fit the intensity of urban light and the land urbanization level, and the allometric growth characteristics can reflect the land use characteristics of different cities and urban agglomerations. In regional experiments with typical cities and with urban agglomerations, compared to the original allometric growth model, the goodness of fit of the allometric growth model with the lag effect improves, on average, by 3.2% and 2%, respectively, with the highest increases being by 9.9% and 4.9%, respectively. The level of intensive land use in the YREB gradually decreases from east to west, and there are great differences among different cities in the provinces and urban agglomerations. The lower reaches of the Yangtze River have high land intensive use on the whole. In the middle reaches, multicenter cities have a greater efficiency of land use than the surrounding cities. In the upper reaches, only Chengdu and Chongqing have clear advantages in urban land intensive use. The results of this study can be helpful in providing an important reference for the sustainable development of land in the YREB and can provide a basis for future urban land optimization and sustainable development. Realizing the coordination and linkage between key cities and major cities is the key to enhancing the overall sustainable development ability of the core cities in the YREB.

Highlights

  • The Yangtze River Economic Belt (YREB) is a new support belt for China’s economy in the form of an urban agglomeration proposed based on the Golden Channel of the Yangtze River [1]

  • We considered that it takes time for new land to increase the nighttime light intensity, which means that the impact of land urbanization on urban light intensity has a certain lag effect

  • The goodness of fit of the allometric growth model considering the lag effect is clearly improved, indicating a lag effect between nighttime light growth and urban land expansion, and the light intensity is affected by the new land

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Summary

Introduction

The Yangtze River Economic Belt (YREB) is a new support belt for China’s economy in the form of an urban agglomeration proposed based on the Golden Channel of the Yangtze River [1]. Multifactor comprehensive evaluation [11,12], principal component analysis [13,14], global principal component analysis [15], the back propagation (BP) neural network model [16], clustering analysis [17], the construction of evaluation frameworks with spatially explicit information [18] and other methods have gradually been applied as methods of evaluating urban land intensive use These methods require the support of a large number of socioeconomic statistics, and there are many problems, such as difficulties in collecting statistics, time-consuming basic data processing, data “monopoly” and data distortion. We attempt to introduce nighttime light data and statistical data on the built-up area to construct a model of urban land intensive use based on the allometric growth model to spatially analyze the level of urban land intensive use.

Study Area
Allometric Growth Model Considering the Nighttime Light Lag Effect
Results of the Allometric Growth Model Considering the Lag Effect
Analysis of the Land Intensive Use Level in the YREB
Analysis of the Lag Effect in Land Intensive Use in the YREB
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