scholarly journals Selecting Inter-city Transportation Routes in Complex Terrains Using Quantitative Methods – A Case Study from Northern Yunnan, China

2020 ◽  
Vol 32 (2) ◽  
pp. 269-277
Author(s):  
Jisheng Xia ◽  
Pinliang Dong ◽  
Zhifang Zhao
Keyword(s):  
Quantitative Methods ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Route Selection ◽  
Analytic Hierarchy ◽  
Suitability Evaluation ◽  
Grey Relational ◽  
Transportation Routes ◽  
Hierarchy Process

A variety of factors are involved in inter-city transportation route selection in the areas of complex terrain. With the help of Geographic Information System (GIS), three quantitative methods were employed to determine the transport routes between 44 cities in Northern Yunnan (China), an area with alpine valleys, Karst mountains, and plateau basins. The network analysis in GIS was used to find the routes based on the Transport Suitability Evaluation (TSE) map, which was produced from several factors, including population density, terrain slope, vertical terrain dissection, landslide and mud-flock area, land cover types, and Normalized Difference Vegetation Index (NDVI). Analytic Hierarchy Process (AHP), Grey Relational Analysis (GRA), and Delphi analysis were used to collect and calculate suitability values of these factors. Finally, all the routes connecting 44 cities of Northern Yunnan formed a network which could provide reference for route selection planning in the area.  

Research on Constituent Elements of Landscape in Residential Area Based on Image Analysis — A Case Study of Hefei Golden Pond Housing

2013 ◽  
Vol 409-410 ◽  
pp. 724-729
Author(s):  
Xiao Guang Shan ◽  
Zao Li
Keyword(s):  
Image Analysis ◽  
Quantitative Methods ◽  
Residential Area ◽  
Analytic Hierarchy ◽  
Landscape Elements ◽  
Constituent Elements ◽  
Hierarchy Process ◽  
The Relationship ◽  
Dualistic Approach

This paper researches and evaluates the landscape in Hefei Golden Pond Residential Area from the aesthetical perspective, makes an inductive analysis of landscape elements in this residential area through using the image dualistic approach, and defines the relationship between landscape elements and public aesthetic preference in combination with the quantitative methods such as Delphi and Analytic Hierarchy Process.

scholarly journals Association between Green Space Structure and the Prevalence of Asthma: A Case Study of Toronto

2021 ◽  
Vol 18 (11) ◽  
pp. 5852
Author(s):  
Yuping Dong ◽  
Helin Liu ◽  
Tianming Zheng
Keyword(s):  
Air Pollution ◽  
Vegetation Index ◽  
Green Space ◽  
Normalized Difference Vegetation Index ◽  
Chronic Inflammatory Disease ◽  
Space Structure ◽  
Tree Diversity ◽  
Underlying Mechanisms ◽  
Index Tree

Asthma is a chronic inflammatory disease that can be caused by various factors, such as asthma-related genes, lifestyle, and air pollution, and it can result in adverse impacts on asthmatics’ mental health and quality of life. Hence, asthma issues have been widely studied, mainly from demographic, socioeconomic, and genetic perspectives. Although it is becoming increasingly clear that asthma is likely influenced by green spaces, the underlying mechanisms are still unclear and inconsistent. Moreover, green space influences the prevalence of asthma concurrently in multiple ways, but most existing studies have explored only one pathway or a partial pathway, rather than the multi-pathways. Compared to greenness (measured by Normalized Difference Vegetation Index, tree density, etc.), green space structure—which has the potential to impact the concentration of air pollution and microbial diversity—is still less investigated in studies on the influence of green space on asthma. Given this research gap, this research took Toronto, Canada, as a case study to explore the two pathways between green space structure and the prevalence of asthma based on controlling the related covariates. Using regression analysis, it was found that green space structure can protect those aged 0–19 years from a high risk of developing asthma, and this direct protective effect can be enhanced by high tree diversity. For adults, green space structure does not influence the prevalence of asthma unless moderated by tree diversity (a measurement of the richness and diversity of trees). However, this impact was not found in adult females. Moreover, the hypothesis that green space structure influences the prevalence of asthma by reducing air pollution was not confirmed in this study, which can be attributed to a variety of causes.

Water abundance analysis of aquifer in coal roof based on grey relational analysis and analytic hierarchy process

2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Water Abundance ◽  
Relational Analysis ◽  
Major Factors ◽  
Grey Relational ◽  
Hierarchy Process

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.

scholarly journals User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Leandro Pecchia ◽  
Jennifer L Martin ◽  
Angela Ragozzino ◽  
Carmela Vanzanella ◽  
Arturo Scognamiglio ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Analytic Hierarchy Process ◽  
User Needs ◽  
Ct Scanner ◽  
Analytic Hierarchy ◽  
Hierarchy Process
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