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

Ma, Fang; He, Jie; Ma, Jing; Xia, Shengguo

doi:10.1016/j.trpro.2017.05.328

Cited by 39 publications

(31 citation statements)

References 3 publications

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“…The AHP-entropy weight comprehensive weight determination method based on subjective and objective thoughts can make up for the shortcomings of the abovementioned weight determination methods and improve the scientific evaluation of the welfare effects of the land-lost farmers. Ma [53] takes Suzhou Industrial Park in China as an example. The AHP-entropy weight method is used to determine the weight of each index, and the central point triangle whitening weight function is used to comprehensively evaluate the urban green transportation planning.…”

Section: Research Progress On the Ahp-entropy Weight Methodsmentioning

confidence: 99%

Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation

Zhang

Xie

2019

Land

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Based on research into the theory of household assets and the welfare of farmers, the Analytic Hierarchy Process (AHP)-entropy weight method and cloud model were used to study the welfare level of land-lost farmers’ households under the different livelihood assets of Taohuayi Village, Taohuasan Village and Taohuawu Village in Taohua Town, Nanchang City. The results show that (1) The comprehensive welfare level of asset-deficient farmers’ households is between the “bad” and “medium” levels and is closer to the “bad” level. The comprehensive welfare level of asset-balanced farmers’ households is between “general” and “good” and is closer to the “good” level. (2) Judging from the various functional activity indicators that affect the welfare of the land-lost farmers, after the asset-deficient farmers’ households lose their land, the welfare level of the family’s financial situation, social security, living environment, mental status, development opportunities, and political participation are generally at low to medium-low levels, and only living conditions are at medium-to-high levels. (3) The welfare level of the living environment of the asset-balanced farmers’ households is at a moderately low level, and the welfare of the remaining functional activities is at a medium to a medium-high level. We then propose corresponding policy recommendations. After losing land, it is necessary to implement a differentiated circulation guarantee and support policies to achieve targeted compensation and support for the land-lost farmers’ households to improve the welfare level of land-lost farmers’ households under different living asset allocation.

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Section: Research Progress On the Ahp-entropy Weight Methodsmentioning

confidence: 99%

Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation

Zhang

Xie

2019

Land

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“…The AHP-entropy approach is a combination of AHP and the entropy method [48]. Following are five steps of determining the weights of factors' significance from the stage of factor values assessment (standardization):…”

Section: Enhanced Coefficient S Jmentioning

confidence: 99%

Evaluating Spatial Disparity of Access to Public Parks in Gated and Open Communities with an Improved G2SFCA Model

et al. 2019

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A major concern of social equity and environmental justice is whether urban green resources are equitably distributed across the compact megacities of China. Many previous studies have evaluated the disparities in park access among various social groups, but few researchers have considered the heterogeneity of the built environment in residential communities. This study revisits an increasingly popular Gaussian-two-step floating catchment area (G2SFCA) model and mainly improves its two core parameters, the comprehensive supply indicator and variable catchment, in order to realistically evaluate park accessibility under different travel modes. We choose Nanjing city, China, as the study case in which to evaluate differences in public park access with respect to gated and open communities using our improved model. Moreover, gated communities have been further divided into three categories, which represent differences in a community's ability to provide daily physical activities, to more deeply explore disparities in public park services. The results show that (1) the spatial accessibility of parks in Nanjing city is not evenly distributed, with communities located north of the Yangtze River having inferior park accessibility; (2) residents who live in open communities are more restricted with regard to access to parks than those in gated communities, although they experience relatively small differences under the walking mode; (3) gated communities with no internal park ("club park") enjoy better public park services; and (4) residents living in 105 open communities and 167 gated communities without a club park can be regarded as the most vulnerable groups based on the lack of park services. The results of this study can provide a scientific basis for policy makers to target specific communities of vulnerable groups for further urban park development. and urban parks play a significant role in promoting people's well-being. However, these benefits can be enjoyed only when urban parks are easily and reasonably accessible to urban dwellers and have sufficient effective activity area and amenities. In addition, urban parks are often unevenly distributed across cities, which raises issues such as environmental justice. Therefore, accurately assessing park accessibility is important to identify spatial disparities and locations that require intervention.Access to parks is influenced by many objective factors (also called spatial factors) that can be interpreted on the basis of three main aspects: supply, demand, and the connection between them. Supply may include, but is not limited to park acreage and park quality [9]. Demand refers to population size and structure, such as the presence of children, senior citizens, and racial and religious groups [10]. Regarding the connection among these spatial factors in terms of issues such as geographic barriers, substantial evidence suggests that proximity, the physical road environment, and transport modes [11,12] from residential districts to parks are closely associated with ...

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“…The determination of the indicators' weights is also an important part of the rationality of city sustainability evaluation. The weighting method can be divided into three categories: subjective weighting method [29][30][31][32], objective weighting method [33][34][35][36] and combined weighting method [37][38][39]. The subjective weighting method, such as the Delphi method [40], analytic hierarchy process (AHP) method [41], etc., reflects the subjective judgment and intuition of the evaluator.…”

Section: Related Work On City Sustainability Evaluationmentioning

confidence: 99%

“…Yi et al develop the deviation maximization weighting method to observe the sustainable levels of 17 cities in Shandong Province, China [11]. Several studies on city sustainability evaluation can be found, and the related literature can be grouped into three categories, i.e., evaluation indicators selection [19][20][21][22][23][24][25][26][27][28], indicators' weights setting [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43] and information aggregation [44][45][46][47][48][49][50][51][52]. A detailed review of the related work is shown in Section 2.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of City Sustainability from the Perspective of Behavioral Guidance

Zhou

et al. 2019

Sustainability

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High-quality evaluation of city sustainability is an important part of city policy making and development. In this paper, we evaluated the sustainability of the 14 cities in Liaoning, China, from 2015 to 2017. Based on the comprehensive consideration of the interactions among the social, economic and environmental systems, the traditional evaluation indicator system is refined. We incorporate the attitude of decision makers into the evaluation model and propose an objective weighting method by considering data distribution to objectively guide the cities to develop towards the established goals. The empirical research results show that cities located in eastern Liaoning performed the best and in western Liaoning performed the worst. The performances of the 14 cities in Liaoning were not perfect. Both the evaluation values and growth rates of 7 cities (accounting for 50.00%) were lower than the overall average level. The evaluation values of the three systems of the 14 cities were not balanced. The evaluation values of the social, economic and environmental systems fluctuated within the range of [0.0159, 0.0346], [0.0151, 0.0677] and [0.0123, 0.0483], respectively. The social and economic systems of most cities supplied more for the environmental system than for the other system. Cities with higher environmental base rankings offered less supply to other systems. At the same time, we also provide some individualized and concrete suggestions for the guidance of city sustainable development. By comparing the empirical data with the reality, it confirms the credibility of the method and the recommendations in this paper.

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

Cited by 39 publications

References 3 publications

Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation

Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation

Evaluating Spatial Disparity of Access to Public Parks in Gated and Open Communities with an Improved G2SFCA Model

Evaluation of City Sustainability from the Perspective of Behavioral Guidance

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