scholarly journals How to Perceive the Trade-Off of Economic and Ecological Intensity of Land Use in a City? A Functional Zones-Based Case Study of Tangshan, China

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 551
Author(s):  
Wencang Shen ◽  
Jianjun Zhang ◽  
Xiangli Zhou ◽  
Shengnan Li ◽  
Xiaoli Geng

China, in a rapid urbanization process, is accompanied by the expansion of built-up land, population accumulation, and intensive land investment, while the improvement of the urban environment cannot keep up with the population and economic density growth. Therefore, the purpose of this paper is to discuss the balance between urban land use economic intensity (built-up area density, population density, land price) and ecological intensity (the depth, breadth, and integration of ecological spaces) in Tangshan. From the perspective of functional zones (FZs), the trade-off of economic and ecological intensity of different types of land use is detailed from the evaluation system. Finally, this paper explores a common intensive development model for different FZs to reach both reasonable economic and ecological purposes in Tangshan. The upshot indicates that the economic and ecological intensity of all FZs in Tangshan follows an opposite spatial distribution, and different types of FZ own their characteristics. The Gini index and Theil index for measuring the typical FZ indicate the unbalanced state between ecological spaces and population in residential areas. To sum up, a resource-based city, such as Tangshan, in the rapid development stage of urbanization tends to pay more attention to economic output and neglect ecological benefits.

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1266
Author(s):  
Yuewen Yang ◽  
Dongyan Wang ◽  
Zhuoran Yan ◽  
Shuwen Zhang

Scientific functional zone planning is the key to achieving long-term development goals for cities. The rapid development of remote sensing technology allows for the identification of urban functional zones, which is important since they serve as basic spatial units for urban planning and functioning. The accuracy of three methods—kernel density estimation, term frequency-inverse document frequency, and deep learning—for detecting urban functional zones was investigated using the Gaode points of interest, high-resolution satellite images, and OpenStreetMap. Kuancheng District was divided into twenty-one functional types (five single functional types and twenty mixed ones). The results showed that an approach using deep learning had a higher accuracy than the other two methods for delineating four out of five functions (excluding the commercial function) when compared with a field survey. The field survey showed that Kuancheng District was progressing towards completing the goals of the Land-Use Plan of the Central City of Changchun (2011–2020). Based on these findings, we illustrate the feasibility of identifying urban functional areas and lay out a framework for transforming them. Our results can guide the adjustment of the urban spatial structure and provide a reference basis for the scientific and reasonable development of urban land-use planning.


Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 715
Author(s):  
Yingkai Tang ◽  
Kun Wang ◽  
Xuanming Ji ◽  
He Xu ◽  
Yangqing Xiao

Rapid urbanization has provided a strong impetus for the economic growth of China, but it has also caused many problems such as inefficient urban land use and environmental pollution. With the popularization of the concept of green and sustainable development, the Environmental-Social-Governance (ESG) assessment concept is widely accepted. The government and residents are paying more and more attention to environmental issues in urban development, and environmental protection has formed an important part of urban development. In this context, this study takes 26 cities in the Yangtze River Delta as examples to build an evaluation system for urban land-use efficiency under green development orientation. The evaluation system takes into account the inputs of land, capital, labor, and energy factors in the process of urban development. Based on emphasizing economic output, the social benefits and undesired outputs brought about by urban development are taken into account. This paper measures urban land use efficiency by the super-efficiency SBM model, and on this basis, analyses the spatial-temporal evolution characteristics of urban land-use efficiency. Further, this paper measures urban land use efficiency without considering undesired outputs and compares the two evaluation methods. Again, the comparison illustrates the rationality of urban land use efficiency evaluation system under green development orientation.


2018 ◽  
Vol 5 (2) ◽  
pp. 229
Author(s):  
Noordini Binti Che Man ◽  
Anis Farhan Binti Salihin

Urbanization and urban land-use transition have a competitive environment to ensure and provide good facilities for citizen benefit. The landscape patterns resulting from urbanization effect processes at local, regional, and global scales. Quantifying the spatiotemporal pattern of urbanization is important for understanding its ecological impacts and can provide basic information for appropriate decision-making. The growth of urbanization in Mukim Pengerang, Johor, has undergone rapid changes in agriculture, settlements, townships and various activities. The changes of land use take place in Mukim Pengerang due to the rapid economic development, especially in industrializations which are Refinery and Petrochemical Integrated Development (RAPID) project and Pengerang Integrated Petroleum Complex (PIPC). The industrialization boosts the growth in land property and commercial which progressing in rapid development since the year 2012, in resulting whether it can give good, bad or both impact to the human and surrounding. Therefore, the main aim of this paper is to quantify the changes in landscape pattern or land use pattern between the year 2008 and 2017 occurred in Mukim Pengerang. In monitoring the spatial pattern changes, and the changes of landscape structure, the metrics landscape were analyzed with determination of the Shanon Diversity Index (SHDI), the number of patches (NP), Edge Density (ED) and Total Edge (TE) in the period of 8 years. The results show that the changes occurred with the three types of land use showed significant changes in the types of land use which are forest, agricultural and built-up area. The result of SHDI analysis shows the increment value between the year 2008 and 2017. This situation illustrates that the higher value of SHDI for an area, resulting in the higher level of land use. This is because the growing pattern of land use is reflected by a large number of patches due to the diversification of land use activities in the area. As a result, from the metrics statistics test verifies there was a significant change in land use that took place within 8 years.


2019 ◽  
Vol 11 (15) ◽  
pp. 1834 ◽  
Author(s):  
Shu Zhang ◽  
Chuanglin Fang ◽  
Wenhui Kuang ◽  
Fengyun Sun

Urban land use/cover and efficiency are important indicators of the degree of urbanization. However, research about comparing their changes at the megaregion level is relatively rare. In this study, we depicted the differences and inequalities of urban land and efficiency among megaregions in China using China’s Land Use/cover Dataset (CLUD) and China’s Urban Land Use/cover Dataset (CLUD-Urban). Furthermore, we analyzed regional inequality using the Theil index. The results indicated that the Guangdong-Hong Kong-Macao Great Bay Area had the highest proportion of urban land (8.03%), while the Chengdu-Chongqing Megaregion had the highest proportion of developed land (64.70%). The proportion of urban impervious surface area was highest in the Guangdong-Hong Kong-Macao Great Bay Area (75.16%) and lowest in the Chengdu-Chongqing Megaregion (67.19%). Furthermore, the highest urban expansion occurred in the Yangtze River Delta (260.52 km2/a), and the fastest period was 2000–2010 (298.19 km2/a). The decreasing Theil index values for the urban population and economic density were 0.305 and 1.748, respectively, in 1980–2015. This study depicted the development trajectory of different megaregions, and will expect to provide a valuable insight and new knowledge on reasonable urban growth modes and sustainable goals in urban planning and management.


2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Xinli Ke ◽  
Feng Wu ◽  
Caixue Ma

Urban land expansion plays an important role in climate change. It is significant to select a reasonable urban expansion pattern to mitigate the impact of urban land expansion on the regional climate in the rapid urbanization process. In this paper, taking Wuhan metropolitan as the case study area, and three urbanization patterns scenarios are designed to simulate spatial patterns of urban land expansion in the future using the Partitioned and Asynchronous Cellular Automata Model. Then, simulation results of land use are adjusted and inputted into WRF (Weather Research and Forecast) model to simulate regional climate change. The results show that: (1) warming effect is strongest under centralized urbanization while it is on the opposite under decentralized scenario; (2) the warming effect is stronger and wider in centralized urbanization scenario than in decentralized urbanization scenario; (3) the impact trends of urban land use expansion on precipitation are basically the same under different scenarios; (4) and spatial distribution of rainfall was more concentrated under centralized urbanization scenario, and there is a rainfall center of wider scope, greater intensity. Accordingly, it can be concluded that decentralized urbanization is a reasonable urbanization pattern to mitigate climate change in rapid urbanization period.


2018 ◽  
Vol 10 (8) ◽  
pp. 2706 ◽  
Author(s):  
Yunfang Jiang ◽  
Luyao Hou ◽  
Tiemao Shi ◽  
Yuemin Ning

Urbanization has brought with it large populations in cities, which has then led to changes in urban land use intensity and spatial patterns, resulting in changes in underlying surfaces and urban climate. The impacts of the early urbanization process and the rapid development of the international metropolis on the interactive development of spatial zoning, urban climate, and urbanization in the main region of Shanghai are studied. This study has important practical and methodological implications with respect to two major themes in the current urban planning area of China, specifically, the construction of new urbanization and the changes in urban climate adaptation. Through the experiences of the human activities model from ecology, factors are selected based on the effects of climate on four dimensions, namely, economy, urban construction, ecological, and environment, where the weight of each index is determined by the coefficient of the variation method and the important spatial factors influencing the climate effect are screened out. The four important influential factors are population density, road density, built-up areas, and the green coverage ratio of spatial distribution. A quantitative analysis determined that there exists a consistent relationship between urban climate factors and the four urbanization spatial factors. Based on urbanization classification that considered each factor evaluation along with integrated analyses and statistical correlation analyses of the spatial grid index using ArcGIS software, the urban space partition level is identified, and urban spatial zoning strategies based on the co-movement of urban climate system are put forward. Combined with the zoning study of land use and the urban heat island distribution pattern, the spatial zoning strategy of controlling urbanization intensity based on the urban climate system is proposed. This research will guide the integration of the urbanization spatial structure and urban climate system toward rational development in Shanghai city.


Author(s):  
Zongxue Xu ◽  
Gang Zhao

Abstract. China is undergoing rapid urbanization during the past decades. For example, the proportion of urban population in Beijing has increased from 57.6 % in 1980 to 86.3 % in 2013. Rapid urbanization has an adverse impact on the urban rainfall-runoff processes, which may result in the increase of urban flood risk. In the present study, the major purpose is to investigate the impact of land use/cover change on hydrological processes. The intensive human activities, such as the increase of impervious area, changes of river network morphology, construction of drainage system and water transfer, were considered in this study. Landsat TM images were adopted to monitor urbanization process based on Urban Land-use Index (ULI). The SWMM model considering different urbanized scenarios and anthropogenic disturbance was developed. The measured streamflow data was used for model calibration and validation. Precipitation with different return periods was taken as model input to analyse the changes of flood characteristics under different urbanized scenarios. The results indicated that SWMM provided a good estimation for storms under different urbanized scenarios. The volume of surface runoff after urbanization was 3.5 times greater than that before urbanization; the coefficient of runoff changed from 0.12 to 0.41, and the ratio of infiltration decreased from 88 to 60 %. After urbanization, the time of overland flow concentration increased while the time of river concentration decreased; the peak time did not show much difference in this study. It was found that the peak flow of 20-year return-period after urbanization is greater than that of 100-year return-period before urbanization. The amplification effect of urbanization on flood is significant, resulting in an increase of the flooding risk. These effects are especially noticeable for extreme precipitation. The results in this study will provide technical support for the planning and management of urban storm water and the evaluation on Low Impact Development (LID) measures.


2013 ◽  
Vol 368-370 ◽  
pp. 209-213
Author(s):  
Nan Zhang Wu ◽  
Yu Feng Ho ◽  
Ching I Wu

The rapid development of technology, industry, and civilization and the improper land production in the urban artificial ecosphere have led to severe environmental pollution and resource exhaustion. Reviewing the highly ordered and highly dynamic urban use operation mechanism is necessary for improving urban sustainable development. We used several methods based on urban ecology and sustainability of urban development theory, considered urban use as a system, and analyzed the urban land use system in terms of operation principle and the mechanism of society, economy, and environmental systems through system thinking. We also studied the causal feedback relationships of the urban land use system with system variables and divided it into five subsystems, namely, urban population, land use, industry economy, transportation, environmental ecology. We then constructed a feedback flow graph of the index and the circular operation of the common drive system to characterize effectively the state of urban land.


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