scholarly journals Evaluating Urban Land Carrying Capacity Based on the Ecological Sensitivity Analysis: A Case Study in Hangzhou, China

2017 ◽  
Vol 9 (6) ◽  
pp. 529 ◽  
Author(s):  
Jinyeu Tsou ◽  
Yanfei Gao ◽  
Yuanzhi Zhang ◽  
Sun Genyun ◽  
Jinchang Ren ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Carrying Capacity ◽  
Urban Land ◽  
Ecological Sensitivity ◽  
Land Carrying Capacity

scholarly journals Evaluation of ESV Change under Urban Expansion Based on Ecological Sensitivity: A Case Study of Three Gorges Reservoir Area in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8490
Author(s):  
Hongjie Peng ◽  
Lei Hua ◽  
Xuesong Zhang ◽  
Xuying Yuan ◽  
Jianhao Li
Keyword(s):  
Three Gorges Reservoir ◽  
Urban Expansion ◽  
Urban Land ◽  
Three Gorges Reservoir Area ◽  
Three Gorges ◽  
Ecological Sensitivity ◽  
Reservoir Area ◽  
Green Development ◽  
Source Data

In recent years, ecosystem service values (ESV) have attracted much attention. However, studies that use ecological sensitivity methods as a basis for predicting future urban expansion and thus analyzing spatial-temporal change of ESV are scarce in the region. In this study, we used the CA-Markov model to predict the 2030 urban expansion under ecological sensitivity in the Three Gorges reservoir area based on multi-source data, estimations of ESV from 2000 to 2018 and predictions of ESV losses from 2018 to 2030. Research results: (i) In the concept of green development, the ecological sensitive zone has been identified in Three Gorges reservoir area; it accounts for about 35.86% of the study area. (ii) It is predicted that the 2030 urban land will reach 211,412.51 ha by overlaying the ecological sensitive zone. (iii) The total ESV of Three Gorges Reservoir area showed an increasing trend from 2000 to 2018 with growth values of about USD 3644.26 million, but the ESVs of 16 districts were decreasing, with Dadukou and Jiangbei having the highest reductions. (iv) New urban land increases by 80,026.02 ha from 2018 to 2030. The overall ESV losses are about USD 268.75 million. Jiulongpo, Banan and Shapingba had the highest ESV losses.

An evolution perspective on the urban land carrying capacity in the urbanization era of China

2020 ◽  
Vol 744 ◽  
pp. 140827
Author(s):  
Wenzhu Luo ◽  
Yitian Ren ◽  
Liyin Shen ◽  
Mengcheng Zhu ◽  
Yiman Jiang ◽  
...  
Keyword(s):  
Carrying Capacity ◽  
Urban Land ◽  
Land Carrying Capacity

scholarly journals Integrated Assessment of Urban Land Carrying Capacity (ULCC) for Reducing Earthquake Risk Risaster in Palu City

2021 ◽  
Author(s):  
Jossi Erwindy ◽  
Chay Asdak ◽  
Bombom Rachmat Suganda ◽  
Mohamad Sapari Dwi Hadian
Keyword(s):  
Regional Development ◽  
Carrying Capacity ◽  
Socioeconomic Development ◽  
City Planning ◽  
Land Development ◽  
Urban Land ◽  
Earthquake Risk ◽  
Earthquake Hazards ◽  
Land Capability ◽  
Land Carrying Capacity

Abstract The land is a natural resource that has limitations to accommodate human activities. Rapid urban population growth, continuous expansion of urban scale, rapid socioeconomic development, and increased pressure on land resources between residents and urban land are monumental contradictions when urban planning does not match land carrying capacity. Assessing urban land carrying capacity is very important to evaluate and obtain an overview of the land capability level by classifying its capacity to be designed according to the area function; to get an overview of the potential and constraints of each land capability class, and to serve as a basis for future regional development. This research was conducted in Palu City, a national urban area in Indonesia. It has limited regional development because it is an area prone to high earthquake disasters. Developing the area requires assessing the land's carrying capacity, especially to minimize the risk of earthquake hazards. The assessment involves three stages of analysis, namely Mapping Earthquake-Prone Areas with Mapping of Earthquake-Prone Areas with seismic micro-zonation; Land Capability Assessment; and Comparative Analysis of Land Capability and City Planning of Palu 2030. This study's results indicate that 74.56% of Palu City is an earthquake-prone area, dominated by land capability classes type A to B, namely low to very low land capability classes (55.42%). Thus, there are physical limitations in urban development. However, suppose it is integrated with the spatial plan of Palu City until 2030. In that case, most (56.07%) are already in accordance with the carrying capacity of their land, especially in protected areas. However, land development still does not comply with their carrying capacity (35%) in cultivation areas with earthquakes. High and covering an area of 24% of the total area of Palu City requires special attention in the development of its area going forward. The requirement that land use plans that do not comply with their carrying capacity must be strictly controlled, especially in high disaster-prone areas.

scholarly journals Space Adequacy Analysis Based on Population Pressure National park Area (Case Study : Putri Betung Sub District, Gayo Lues, Aceh)

2021 ◽  
Vol 10 (2) ◽  
pp. 64-73
Author(s):  
Munar Muhardian ◽  
Muhammad Rusdi ◽  
Abubakar Karim
Keyword(s):  
Carrying Capacity ◽  
National Park ◽  
Field Survey ◽  
Population Pressure ◽  
Capacity Limits ◽  
Pressure Index ◽  
Land Carrying Capacity ◽  
The Government ◽  
Park Area

The land requirement for Putri Betung Sub District in Gunung Leuser National Park (GLNP) area kept increasing along with the population growth. The population density in the Putri Betung Sub-district was driven by the need for cultivation and residential area along the GLNP conservation boundary. This study aims to analyze the space adequacy for Putri Betung Sub-District in the GLNP area based on the population pressure prediction for 20 years. The research method was conducted by field survey using remote sensing, interviewed the residents, and analyzed the population pressure index using the Soemarwoto formula. The Population Pressure Index (PPI) for the cultivation area was determined from 13 villages in Putri Betung Subdistrict and shows that 12 villages had a PPI 1 value (population pressure was over the land carrying capacity limits). Only one village had PPI 1 (population pressure less than the land carrying capacity. Based on data surveys obtained, the cultivation area set in the Putri Betung area was no longer sufficient for population, resulting from the expansion in the GLNP area of 4,776.97 ha. Meanwhile, predictive analysis on space adequacy for people living decently in Putri Betung Sub District for 20 upcoming years is 6117.15 ha. In conclusion, 12 out of 13 villages in the Putri Betung SubDistrict have PPI 1 value, which is inversely proportional to the land carrying capacity. The PPI values could result in other pressures on the ecology and biodiversity conservation in National Park. It is suggested that the government need to surpass the pressure by making new policy on people’s resettlement, expanding the cultivation area, or shifting people's livelihoods

scholarly journals Exploring the Spatial Pattern and Influencing Factors of Land Carrying Capacity in Wuhan

2019 ◽  
Vol 11 (10) ◽  
pp. 2786 ◽  
Author(s):  
Nana Yang ◽  
Jiansong Li ◽  
Binbin Lu ◽  
Minghai Luo ◽  
Linze Li
Keyword(s):  
Influencing Factors ◽  
Carrying Capacity ◽  
Influencing Factor ◽  
Correlation Coefficients ◽  
Land Resource ◽  
Data Sets ◽  
Multiple Data ◽  
Source Data ◽  
Land Carrying Capacity

Land carrying capacity is an important factor for urban sustainable development. It provides essential insights into land resource allocation and management. In this article, we propose a framework to evaluate land carrying capacity with multiple data sources from the first geographical census and socioeconomic statistics. In particular, an index, Land Resource Pressure (LRP), is proposed to evaluate the land carrying capacity, and a case study was carried out in Wuhan. The LRP of Wuhan was calculated on 250 m * 250 m grids, and showed a circularly declining pattern from central to outer areas. We collected its influencing factors in terms of nature resources, economy, transportation and urban construction, and then analyzed its causes via geographically weighted (GW) models. Firstly, pair-wise correlations between LRP and each influencing factor were explored via the GW correlation coefficients. These local estimates provide an important precursor for the following quantitative analysis via the GW regression (GWR) technique. The GWR coefficient estimates interpret the influences on LRP in a localized view. Results show that per capita gross domestic product (PerGDP) showed a higher absolute estimate among all factors, which proves that PerGDP has a relieving effect on LRP, especially in the southwestern areas. Overall, this study provides a technical framework to evaluate land carrying capacity with multi-source data sets and explore its localized influences via GW models, which could provide practical guidance for similar studies in other cities.

Exploring Urban Land Carrying Capacity under the Requirement of Ecological Civilization in China

2014 ◽  
Vol 955-959 ◽  
pp. 4009-4012
Author(s):  
Sheng Qiao ◽  
Tan Zhu
Keyword(s):  
Carrying Capacity ◽  
Evaluation Method ◽  
Population Based ◽  
Urban Land ◽  
Chinese Government ◽  
Ecological Civilization ◽  
Related Method ◽  
Capacity Evaluation ◽  
Land Carrying Capacity ◽  
Tianjin Binhai New Area

Chinese government has proposed the ecological civilization and requires integrate this issue into land use strategies. So the historical evolution of the land carrying capacity evaluation was first analyzed in this paper. "Population-based" and "industry-oriented" methods were then discussed. Based on this, ecological civilization-related urban land carrying capacity evaluation method is elaborated in this paper. Taking Tianjin Binhai New Area as an example, a preliminary exploration was conducted. The analysis of case studies shows it is practical to carry out the ecological civilization-related method.

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