A GIS-based Multicriteria Decision Making Approach for Evaluating Accessibility to Public Parks in Calgary, Alberta

Meng, Yunliang; Malczewski, Jacek

doi:10.5719/hgeo.2015.91.3

Cited by 14 publications

(17 citation statements)

References 11 publications

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“…In this method, first, three zones are generated around the centroid of each population block based on the service area of mini, neighborhood and community parks (see Table 1), and then the number of parks that are within these service areas is determined. Finally, the ratio of the number of parks to the block population can be calculated according to Equation 1 (Meng et al, 2015).…”

Section: Covering Methodmentioning

confidence: 99%

“…Data pre-processing consists of a four stages procedure: The first stage involves the classification of the parks into three groups according to their area, including mini parks with an area of less than one acre, neighborhood parks with an area between one to twenty acres and community parks with an area between 20 up to 50 acres (Mertes et al, 1995). The reason for the classification is that different types of public parks, such as mini, neighborhood, and community parks, have different sizes of service areas (Meng et al, 2015). Table 1 shows the classification of parks and the assignment of their respective service area.…”

Section: Data and Data Pre-processingmentioning

confidence: 99%

“…Previous studies have provided several methods or indicators for estimating the level of accessibility to public parks, including Covering, Thiessen polygon, Minimum distance, Average distance, Simple distance indicator, Proximity indicator, Two step floating catchment area, Gravitybased two-step floating catchment area, Enhanced two-step floating catchment area, and Variable-width floating catchment area. Although new methods have been developed or improvements of existing methods have been made to estimate the levels of accessibility to urban facilities such as parks (for example: Daniele La Rosa, 2013, Lee et al, 2013, Meng et al, 2015, Dony et al, 2015, Xing et al, 2018, Xio et al, 2018, none of the studies have compared these methods. In this study, the level of accessibility to urban parks in District # 11 of Tehran have been calculated using the set of spatial indicators and then the results are compared.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Spatial Justice in Accessibility of Urban Facilities: A Case Study of Accessibility of Public Parks in District # 11 of Tehran, Iran

Mahmoudi

Jelokhani‐Niaraki

Argany

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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The green spaces and urban parks play a critical role to improve the quality of life of citizens. In order to meet the principles of the justice-based city and spatial justice in the distribution of public services, it is necessary to evaluate the accessibility to parks in different locations and pay more attention to the places with a low level of accessibility. This study evaluates the spatial justice or inequalities in accessibility to urban parks in District # 11 of Tehran, Iran using a set of spatial indices and GIS tools. Indices used in this study are Covering, Minimum distance, Average distance, Proximity, Two-step floating catchment area and Gravity-based twostep floating catchment area. The results indicate that the level of accessibility to mini and neighborhood parks are almost similar and below the average level. The slight differences in the results are related to the differences in the assumptions and logics of methods. Moreover, the results show that the Coverage, 2SFCA and GB2SFCA (with inappropriate distance decay coefficient) methods face limitations when the accessibility for the community parks are calculated. For example, the Coverage method does not take into account the area of the park for measuring the accessibility level, in turn, this leads to inaccurate results. Overall, the findings show better accessibility to community parks than mini and neighborhood parks. This implies that the municipalities need to increase the number of local mini and neighborhood parks across the city.

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Section: Covering Methodmentioning

confidence: 99%

Section: Data and Data Pre-processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation of Spatial Justice in Accessibility of Urban Facilities: A Case Study of Accessibility of Public Parks in District # 11 of Tehran, Iran

Mahmoudi

Jelokhani‐Niaraki

Argany

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…In that research, the authors identified that a significant number of existing bridges are not placed at the optimal locations, through a comprehensive consideration of the map of flood area and the connection of existing bridges in that area. In 2015, Meng et al [5] introduced GIS-MCDM method to assess the access to public parks in Calgary, Alberta, and conducted a research on the optimal site condition considering regional traits with different accessibility conditions.…”

Section: Previous Researches On Mcdm and Gis-based Decision Making Prmentioning

confidence: 99%

UI proposal using modified diamond pairwise comparison diagram for fuzzy integral-based GIS–MCDM

Yoo

Kim

2016

Spat. Inf. Res.

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GIS-based data fusion is now considered as a common methodology for selecting appropriate sites to locate government or company sites. Due to the success of GIS-based approaches, its UI system becomes very important in service promotion aspects. In particular, UI system presented to general public has to be intuitive and effective to cope with multi-criteria decision making problems (MCDM) which become majority in GIS-based selection problems. In this paper, based on the fuzzy measure and fuzzy integral method for dealing with GIS-MCDM problems, an intuitive UI system for GIS-MCDM is proposed by modifying conventional UI using diamond pairwise comparison diagram focusing on using the easyto-understand terms and coinciding appropriate meaningful directions with human's intuitive understanding. In addition, strategy for applying the fuzzy measure and fuzzy integral method along with the proposed UI system upon the public service is also described considering the distributional aspects of computational burden to process data fusion calculation efficiently.

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“…Decision making is a framework in which useful information regarding with selecting an alternative from a set of alternatives is driven from row data layers. In spatial decision making, alternatives are points, lines and polygons which have a number of attribute values (Meng & Malczewski, 2015).…”

Section: Multi Criteria Decision Makingmentioning

confidence: 99%

Earthquake Vulnerability Assessment for Hospital Buildings Using a Gis-Based Group Multi Criteria Decision Making Approach: A Case Study of Tehran, Iran

Delavar

Moradi

Moshiri

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Nowadays, urban areas are threatened by a number of natural hazards such as flood, landslide and earthquake. They can cause huge damages to buildings and human beings which necessitates disaster mitigation and preparation. One of the most important steps in disaster management is to understand all impacts and effects of disaster on urban facilities. Given that hospitals take care of vulnerable people reaction of hospital buildings against earthquake is vital. In this research, the vulnerability of hospital buildings against earthquake is analysed. The vulnerability of buildings is related to a number of criteria including age of building, number of floors, the quality of materials and intensity of the earthquake. Therefore, the problem of seismic vulnerability assessment is a multicriteria assessment problem and multi criteria decision making methods can be used to address the problem. In this paper a group multi criteria decision making model is applied because using only one expert's judgments can cause biased vulnerability maps. Sugeno integral which is able to take into account the interaction among criteria is employed to assess the vulnerability degree of buildings. Fuzzy capacities which are similar to layer weights in weighted linear averaging operator are calculated using particle swarm optimization. Then, calculated fuzzy capacities are included into the model to compute a vulnerability degree for each hospital.

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A GIS-based Multicriteria Decision Making Approach for Evaluating Accessibility to Public Parks in Calgary, Alberta

Cited by 14 publications

References 11 publications

Evaluation of Spatial Justice in Accessibility of Urban Facilities: A Case Study of Accessibility of Public Parks in District # 11 of Tehran, Iran

Evaluation of Spatial Justice in Accessibility of Urban Facilities: A Case Study of Accessibility of Public Parks in District # 11 of Tehran, Iran

UI proposal using modified diamond pairwise comparison diagram for fuzzy integral-based GIS–MCDM

Earthquake Vulnerability Assessment for Hospital Buildings Using a Gis-Based Group Multi Criteria Decision Making Approach: A Case Study of Tehran, Iran

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