scholarly journals Evaluation of urban green transportation planning based on central point triangle whiten weight function and entropy-AHP

2017 ◽  
Vol 25 ◽  
pp. 3634-3644 ◽  
Author(s):  
Fang Ma ◽  
Jie He ◽  
Jiping Ma ◽  
Shengguo Xia
Keyword(s):  
Weight Function ◽  
Transportation Planning ◽  
Central Point ◽  
Urban Green ◽  
Green Transportation

Traffic Planning and Practices of Eco New Area Based on Green Transportation Concept

2013 ◽  
Vol 838-841 ◽  
pp. 2145-2149
Author(s):  
Hao Ling Wu ◽  
Zhen Zhou Yuan ◽  
Jun Fang Tian ◽  
Hui Xuan Li
Keyword(s):  
Land Use ◽  
Transportation Planning ◽  
Road Network ◽  
Public Transit ◽  
Network Planning ◽  
Transportation System ◽  
Traffic Planning ◽  
Development Mode ◽  
Green Transportation ◽  
Planning Strategies

Based on dissecting green transportation concept and its essence, this paper puts forward a new understanding about the concept. Then it expounds some technical approaches to build a green transportation system from the following three aspects, spacial structure of land use, road network planning and transport development mode. At last, taking Eco New Area of a certain city as an example, this paper applies the concept and technical approaches to the green transportation planning of New Area. Further analyzing the planning strategies and implementation schemes of road network, public transit and non-motorized travel in Eco New Area, the green transportation concept is put into practice on the planning level.

A novel grey fixed weight cluster model based on interval grey numbers

2017 ◽  
Vol 7 (2) ◽  
pp. 156-167 ◽  
Author(s):  
Jing Ye ◽  
Yaoguo Dang
Keyword(s):  
Weight Function ◽  
Cluster Model ◽  
Medical Science ◽  
Grey System Theory ◽  
Central Point ◽  
Content Type ◽  
Model Based ◽  
Clustering Model ◽  
Fixed Weight ◽  
Grey Clustering

Purpose Nowadays, evaluation objects are becoming more and more complicated. The interval grey numbers can be used to more accurately express the evaluation objects. However, the information distribution of interval grey numbers is not balanced. The purpose of this paper is to introduce the central-point triangular whitenization weight function to solve the clustering process of this kind of numbers. Design/methodology/approach A new expression of the central-point triangular whitenization weight function is presented in this paper, in terms of the grey cluster problem based on interval grey numbers. By establishing the integral mean value function on the set of interval grey numbers, the application range of grey clustering model is extended to the interval grey number category, and, in this way, the grey fixed weight cluster model based on interval grey numbers is obtained. Findings The model is verified by a case which reveals a high distinguishability, validity and practicability. Practical implications This model can be used in many fields, such as agriculture, economy, geology and medical science, and provides a feasible method for evaluation schemes in performance evaluation, scheme selection, risk evaluation and so on. Originality/value The central-point triangular whitenization weight function is introduced. The method reflects the thought “make full use of the information” in grey system theory and further enriches the system of grey clustering theory as well as expands the application scope of the grey clustering method.

On the Form of Decision Weight Function

2002 ◽  
Author(s):  
Shyhnan Liou ◽  
Chung-Ping Cheng
Keyword(s):  
Weight Function
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