scholarly journals A Regional Sustainable Intensive Land Use Evaluation Based on Ecological Constraints: A Case Study in Jinan City

2019 ◽  
Vol 11 (5) ◽  
pp. 1434 ◽  
Author(s):  
Qian Qian ◽  
Haiyan Liu ◽  
Xinqi Zheng
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Evaluation Method ◽  
Reference Value ◽  
Sustainable Intensification ◽  
Social Progress ◽  
Ecological Constraints ◽  
Variable Model ◽  
Regional Sustainable Development ◽  
Intensive Land Use

Intensive development is a sign of human social progress, and moderate intensification is a continuously pursued goal. However, how to conduct a moderately intensive land use evaluation remains a challenge. To solve this problem, this research proposes the concept of sustainable intensification variable and develops a sustainable intensification variable model to determine the appropriate interval of regional intensive land use and evaluate the intensification of land use. The evaluation method of the sustainable intensification variable model is based on the principle and method of the intensification variable, and the regional sustainable development evaluation factors in the model are revised based on rational land use and ecological constraints. To verify the rationality of the model and systematically evaluate the intensification of land use in the city of Jinan, this method was tested using land use data and social economic data on Jinan from 2001, 2011, and 2015. The results show that the model has a high accuracy in judging the moderately intensive interval of regional land use and evaluating intensive land use, and has important reference value for regional sustainable development decision-making.

scholarly journals Comprehensive Evaluation of Regional Sustainable Development Based on Data Envelopment Analysis

2018 ◽  
Vol 10 (11) ◽  
pp. 3897 ◽  
Author(s):  
Zhijiang Li ◽  
Decai Tang ◽  
Mang Han ◽  
Brandon Bethel
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Input Output ◽  
Slow Development ◽  
Regional Sustainable Development ◽  
Spatio Temporal

In the light of the shortcomings of the analytic hierarchy process and other common regional sustainable development evaluation methods, this paper proposes the use of a combination of subjective and objective weights to generate input/output indicators using the Data Envelopment Analysis (DEA) method. Using this methodology, we construct a comprehensive evaluation index which is useful in expanding the application of Data Envelopment Analysis (DEA) in the comprehensive evaluation of sustainable development. Moreover, this paper addresses the shortfalls of the traditional DEA evaluation model and uses the Super-Slack Based Measure (SBM)-Undesirable and DEA-Malmquist evaluation models, which are based on traditional DEA model optimization, to analyze the spatio-temporal characteristics of sustainable development on regional scales. Using China’s Yangzte River Economic Belt as an example, an empirical analysis is carried out. We show that analysis results are virtually identical to the extant situation and can objectively reflect the status and abilities of sustainable development in each subregion. Additionally, from the angles of input, output and technological progress, this paper uses the DEA evaluation method to analyze the reasons behind the slow development in several provinces and municipalities along the Yangzte River Economic Belt (YERB). The regional characteristics of each province and city within our study are combined to explore the optimal mechanisms for sustainable development.

Study on Method of BRT Transportation Station Passenger Flow Forecast with the TOD Mode

2015 ◽  
Vol 744-746 ◽  
pp. 2059-2062
Author(s):  
Zhong Guo ◽  
Hong Yang Wu ◽  
Chu Han Yang
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Development Strategy ◽  
Public Transport ◽  
Transit Oriented Development ◽  
Passenger Flow ◽  
Urban Public Transport ◽  
Intensive Land Use ◽  
Flow Forecast

Transit Oriented Development (TOD) is a pattern of intensive land use within Sustainable Development Strategy. BRT Transportation Station is an important part of TOD model, and this paper try to link the TOD model to transit passenger flow forecast. Closely connecting different factors of BRT transportation station, three kinds of Urban Public Transport Hubs were put forward based on TOD. The manner and process of terminal passenger flow forecast were designed based on the study of current passenger flow scale and characteristics in the hub.

Water Resource Scarcity and Social Adaptive Capacity for Regional Sustainable Development - A Case Study of Beijing and Tianjin

2014 ◽  
Vol 675-677 ◽  
pp. 1743-1749
Author(s):  
Hong Lei Zhang ◽  
Xue Hua Zhang ◽  
Hong Wei Zhang ◽  
Xu Zhang
Keyword(s):  
Sustainable Development ◽  
Adaptive Capacity ◽  
Water Resource ◽  
Evaluation Method ◽  
Strong Support ◽  
Resource Scarcity ◽  
Key Factors ◽  
Regional Sustainable Development ◽  
Supply Capacity ◽  
Adaptive Ability

The adaptive capacity to water resource scarcity is closely connected to social and economic issues and it is one of the key factors of the regional sustainable development. Accurate evaluation of the adaptive capacity is an important factor to understand the development potential of a region. Through introducing the concept of social adaptive ability, this paper combines social adaptive ability with the dynamic evaluation of water resource scarcity and sustainable supply capacity as a new evaluation method. The data from two provincial-level municipalities of China (Beijing and Tianjin) are selected as a case to evaluate regional sustainable development. The results show that social adaptive ability can increase water supply capacity and provide strong support for regional sustainable development.

scholarly journals Spatial–temporal calculation simulation of ecological footprint of resource and environmental pollution in green communication

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Roulin Chen ◽  
Duanmin Zhang ◽  
Bo Li
Keyword(s):  
Sustainable Development ◽  
Ecological Footprint ◽  
Evaluation Method ◽  
Indicator System ◽  
Resource Consumption ◽  
Experimental Result ◽  
Ecological Environment ◽  
Green Communication ◽  
Development Indicator ◽  
Regional Sustainable Development

AbstractAs a quantitative evaluation method, the ecological footprint analysis (EFA) method is a frontier topic in the field of sustainable development. Human production activities will inevitably produce certain consumption, including the occupation of natural resources, resource consumption and waste production, which will have a certain impact on the ecological environment. This paper proposes to use the ecological footprint to inversely analyze the ecological environment and resource consumption, quantitatively convert the material consumption produced by human activities into the area of biological production land and compare it with the supply area of the study area. The EFA is used to reflect the changes in the indicators of regional sustainable development, and the regional sustainable development indicator system and analysis framework based on the ecosystem are constructed. The experimental result shows that the proposed model can effectively divide the resource space and at the same time can measure the degree of resource transfer, which has important guidance for revealing the internal relationship between regional ecological footprint characteristics and regional development and evolution significance.

Evaluation Method of Intensive Use of Downtown Land

2014 ◽  
Vol 651-653 ◽  
pp. 1151-1157
Author(s):  
Fa Yin Sun
Keyword(s):  
Land Use ◽  
Evaluation System ◽  
Evaluation Method ◽  
Original Data ◽  
Land Use Intensity ◽  
Evaluation Indexes ◽  
Downtown Area ◽  
Intensive Use ◽  
Index Weight ◽  
Intensive Land Use

This paper conducts an analysis on the driving factors of the intensive use of urban land on the basis of defining the connotation of using intensive land use; constructs a evaluation system of the use intensity of urban downtown land from the aspects of quantity structure of land us, the land input intensity, the land use intensity and the efficiency and sustainable development of land use; applies the method of AHP to confirm the weights of evaluation indexes; makes weighted summation of each index based on the standardization of original data and index weight, in order to get the comprehensive index of land use intensity, aiming at quantitatively confirming the level of land use intensity in urban downtown and exploring the quantitative evaluation method of land use intensity in downtown area. This paper selects the downtown area of Zaozhuang as the example to apply for and examine this evaluation method.

scholarly journals An Integrated Indicator System and Evaluation Model for Regional Sustainable Development

2019 ◽  
Vol 11 (7) ◽  
pp. 2183 ◽  
Author(s):  
Shi ◽  
Ge ◽  
Yuan ◽  
Wang ◽  
Kellett ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Indicator System ◽  
Advantages And Disadvantages ◽  
Regional Sustainable Development ◽  
Development Levels

Regional sustainable development has become a worldwide issue in recent years, but there is no single and universally agreed method of choosing indicators for sustainable development assessment. The subjective selection of indicators will affect the results of assessment. Each evaluation method has its own advantages and disadvantages, and the methods used to determine indicator weight also differ. Regional sustainable development is a complex system, which is difficult to evaluate objectively and scientifically using a single method. Therefore, a new integrated indicator system and evaluation model is constructed here to more accurately reflect regional sustainable development level. The indicator system and evaluation model were constructed using a case study of 17 cities in Shandong Province, China. The indicator system includes 4 subsystems, i.e., economy, society, resource, and environment. These indicators were selected through correlation analysis and discrimination analysis. A back propagation neural network was applied to evaluate the respective scores of the 4 subsystems. The comprehensive score for regional sustainable development was evaluated using the analytic hierarchy process with entropy correction. The results show that sustainable development levels in these 17 cities show a gradually decreasing trend from east to west and from coast to inland. Cities with an underdeveloped economy usually display poor levels of social development and serious environmental pollution. Through the improvement of indicator screening, evaluation model, and result correction, the error caused by a single evaluation method can be reduced significantly. This new methodology for indicator selection and comprehensive evaluation provides a new perspective for the assessment of regional sustainable development.

scholarly journals An Intelligent Evaluation Method to Analyze the Competitiveness of Airlines

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jun Zhao ◽  
Xumei Chen
Keyword(s):  
Neural Network ◽  
Prior Knowledge ◽  
Evaluation Method ◽  
Standard Sample ◽  
Reference Value ◽  
The Self ◽  
Index Data ◽  
Som Neural Network ◽  
Simulation Results ◽  
Self Organizing

An intelligent evaluation method is presented to analyze the competitiveness of airlines. From the perspective of safety, service, and normality, we establish the competitiveness indexes of traffic rights and the standard sample base. The self-organizing mapping (SOM) neural network is utilized to self-organize and self-learn the samples in the state of no supervision and prior knowledge. The training steps of high convergence speed and high clustering accuracy are determined based on the multistep setting. The typical airlines index data are utilized to verify the effect of the self-organizing mapping neural network on the airline competitiveness analysis. The simulation results show that the self-organizing mapping neural network can accurately and effectively classify and evaluate the competitiveness of airlines, and the results have important reference value for the allocation of traffic rights resources.

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