1. Arif Wicaksono, Sunya Sarapirome*
12th International Conference on Digital Information Management Kyushu University, Fukuoka, Japan September 2017
Urban park area feasibility analysis using fuzzy aggregation of multi-spatial criteria and multi-expert weights
Arif Wicaksono, Sunya Sarapirome*
s :
Good morning everyone, my name is
Today I’d like to present thesis proposal.
So, before I will present I’d like to say welcome to everyone for coming today and also say thank you to committee ………(ชื่ออาจารย์)
The title of my presentation is ………… or in Thai is ……………..
School of Remote Sensing
Suranaree University of Technology
Nakhon Ratchasima, Thailand

2. Presentation Outline Introduction Research Objectives Study area
Research framework
Criteria preparation
Criteria aggregation
Method : Spatial fuzzy DEMATEL
Method : Experts’ Importance Weighting
Method : Weighted Linear Combination (WLC)
Results and comparison
Discussion and conclusion
This is the outline of my presentation
In this presentation consist of 8 parts including ………………..but today I will focus in detail on research procedures

3. 1. Introduction
As the world enters 21st centuries, there is growing concern to provide more green open space for human kind (Mela, 2014).
GUOS as one of urban infrastructure provides service for citizens like oxygen, social place to interact and clean air (Laing, Miller, Davies, and Scott, 2006).
Now I will start from the first part of the presentation. Background problems and significance of the study . As you know …….. อ่าน In Thailand every province or down to the district level were faced with the problem of waste. The fast growth of urban population is the main cause of tremendous increase in solid waste
อ่านประโยคข้างล่างจบ + In this chart I will show you about “status of waste in Thailand ( ) blue color represent…………………… And you will see the on the screen this chart shown a relationship between waste generation and disposed waste // Waste generation 100% it was disposed and recycled about 20-25% the remaining still for waste waiting for disposed
Griya Katulampa urban park , East Bogor sub-district (Source: private collection)

4. Suitable urban park location approach based on geographical analysis
1. Introduction
Suitable urban park location approach based on geographical analysis
Discrepancy between actual condition and future master plan
(Gupta et al, 2016)
Population
Zhang et al (2007)
Accessibility
Meng, & Malczewski, (2015)
Distance Uy & Nakagoshi (2008)
Now I will start from the first part of the presentation. Background problems and significance of the study . As you know …….. อ่าน In Thailand every province or down to the district level were faced with the problem of waste. The fast growth of urban population is the main cause of tremendous increase in solid waste
อ่านประโยคข้างล่างจบ + In this chart I will show you about “status of waste in Thailand ( ) blue color represent…………………… And you will see the on the screen this chart shown a relationship between waste generation and disposed waste // Waste generation 100% it was disposed and recycled about 20-25% the remaining still for waste waiting for disposed

5. Warung Jambu Market near Ciliwung River (Source: private collection)
1. Introduction
Therefore, selecting appropriate technique for urban park location is ultimate challenge, particularly in sense how efficient this method can deliver suitable urban park areas and locations to meet the requirement of criteria and agree with existing land use.
In Indonesia, public urban park is urban park of which its procurement and maintenance becomes the responsibility of Municipality or Regency Government
Nowadays, as every municipality and regency in Indonesia has to preserve 20 % of its area to be public urban park, in some municipalities this could be a problem since sufficient land for this need has to compete with the requirement of other urban facilities.
Now I will start from the first part of the presentation. Background problems and significance of the study . As you know …….. อ่าน In Thailand every province or down to the district level were faced with the problem of waste. The fast growth of urban population is the main cause of tremendous increase in solid waste
อ่านประโยคข้างล่างจบ + In this chart I will show you about “status of waste in Thailand ( ) blue color represent…………………… And you will see the on the screen this chart shown a relationship between waste generation and disposed waste // Waste generation 100% it was disposed and recycled about 20-25% the remaining still for waste waiting for disposed
Warung Jambu Market near Ciliwung River (Source: private collection)

6. Application in this article
1. Introduction
Combined GIS & FDEMATEL for location selection and evaluation like tourist attractive site (Gigovic et al, 2015) and industrial estate [Arabsheibani et al, 2016].
Recently
Different groups of experts e.g. government officers, academicians, and private professionals can possibly provide different opinions as weight sets.
Opportunity
Different stakeholder weights gained from from fuzzy DEMATEL can be integrated using experts’ importance weighting
These results can be superimposed on existing land use and land cover to locate new areas of feasible urban park.
Application in this article
Now I will start from the first part of the presentation. Background problems and significance of the study . As you know …….. อ่าน In Thailand every province or down to the district level were faced with the problem of waste. The fast growth of urban population is the main cause of tremendous increase in solid waste
อ่านประโยคข้างล่างจบ + In this chart I will show you about “status of waste in Thailand ( ) blue color represent…………………… And you will see the on the screen this chart shown a relationship between waste generation and disposed waste // Waste generation 100% it was disposed and recycled about 20-25% the remaining still for waste waiting for disposed

7. 2. Research objectives
2.1 To implement fuzzy DEMATEL on GIS raster-based criteria and incorporate with existing land use to acquire feasible areas and locations for urban park. 2.2 To compare feasible park areas and locations resulted from employing weights of different groups of experts and their combinations.
Research objective in this study include 3 objectives. There are consist of …..

8. 3. Study area Population:1,407,922 (2015)
Research objective in this study include 3 objectives. There are consist of …..
Population:1,407,922 (2015)

9. 4. Research framework urban park policy demand (C1) accessibility (C2)
Input Criteria:
urban park policy demand (C1)
accessibility (C2)
population density (C3)
distance to school (C4)
distance to water (C5)
distance to electric power line (C6).
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

10. Criteria preparation : urban park policy demand and population density5.
Urban park policy demand can be computed by:
y = 0.2x1 - (x2+x3)
where y is urban park policy demand (km2), x1 is village area (km2), x2 is urban park area for every village in the master plan (km2), and x3 is actual park area in each village (km2).
The population of that year can be predicted from population data in 2015 using equation, operating on every village.
𝐺 𝑛 = 𝐺 𝑜 × (1+𝑀+𝑁) 𝑛
where Gn is population of year 2031, Go is the initial population, N is natural population growth rate of the city, M is the influx of people from outside, and n is the planning period of the year.
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

11. Distant-related criteria5.
Criteria preparation: fuzzy membership function for distant related riteria
Distant-related criteria
Fuzzy membership type
Distance to school
[Givi et al, 2015]
Distance to water
[Uy & Nakagoshi, 2008]
Distance to electric power line [Indonesian Ministry of Public Works Regulation 5 ,2008]
Decreasing
sigmoidal
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study
Increasing
sigmoidal

12. 5. Criteria preparation
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

13. 5. Criteria preparation
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

14. 6. Criteria aggregation: Spatial fuzzy DEMATEL
Gather expert opinions on criteria influencing to each other in form of a matrix.
Aggregate the total experts’ opinions
Calculate initial direct relation matrix ͠D by normalizing aggregated total experts’ opinion matrix
Obtain total relation matrix T͠
Obtain R fuzzy values from T matrix row summation and D fuzzy values are from column summation
Produce prominence (R + D) values and relation (R-D) in order to observe for causal and effect relationship digraphs (CERD).
Generate weights for each spatial layer of criteria being involved to form suitability map for urban park
Normalize each map layer weight
Produce suitability map for urban park by combining all map layers with Weighted Linear Combination (WLC) technique 1 6 7 2 5 8
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study 3 4 9

15. 6. Criteria aggregation: Experts’ Importance Weighting
For every expert group, final importance weight can be obtained by using Equation:
Expert’s characteristic (i)
Category
Scores
Achieved academic degree
Bachelor 1
Master 2
Doctoral 3
Years of experience in urban park location planning
Years
Filled by experts
Membership of Indonesian Professional Landscape Architect Association (IALI)
Yes No
Normalized experts’ importance weight can be derived from Equation:
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

16. 6. Criteria aggregation: Weighted linear combination
In this article, weighted linear combination WLC is used to aggregate :
Fuzzy DEMATEL weights with six GIS layers;
Experts’ importance weights with maps generated from three different expert groups (academics, government, professionals).
Equation used for WLC:
V(Ai) = the overall value of the i-th alternative;
Wk = weight of k-th criteria;
v(aik) = the value of the i-th alternative with respect to the k-th attribute measured by means of the value function;
Source: Malczewski & Rinner (2015)
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

17. Experts’ Important Weights
Results : criterion weights from fuzzy dematel and experts’ importance weights 7.
Criteria
Expert Groups Weights
Combined all weights
Academics
Government
Professional C1
0.18
0.20 C2
0.22
0.12
0.16 C3
0.23
0.17 C4
0.15 C5
0.10
0.14
0.13 C6
0.09
0.19
Experts’ Important Weights
0.43
0.28
0.29 -
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

18. Results : Urban park feasibility map based on fuzzy DEMATEL7.
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study
Government group of experts
Academics
group of experts
Professional group of experts

19. Results : Urban park feasibility map based on fuzzy DEMATEL7.
By combining group of experts, new locations of urban park can be discovered instead of using combined all weights
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study
Combined group of experts
Combined all weights

20. intersecting cells ÷ union cells
Results : Comparison matrix of similarity and mismatch areas resulting from employing different sets of weights 7.
Methodsa A B C D E 1
(183478, 9053, 0)
(181707, 7053, 1771)
(183469, 4217,9)
(182701, 1774, 777) -
(187764, 996, 4767)
(187238, 448, 5293)
(184475, 0, 8056)
(183745, 3941, 5015)
(183447, 1028, 5313)
(183849, 626, 3837)
Similarity ratio =
intersecting cells ÷ union cells
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study
A = Combined all weights, B = Combined group of experts, C = academics group of experts, D = professional group of experts, E = government group of experts

21. Results : Causal and Effect Relationship Diagrams7.
(A) academics,
(B) government,
(C) professional,
(D) combined all weights
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

22. Urban park feasible areas
Discussions 8.
Methods
Urban park feasible areas
Combined group weights
19.26 sq km
Academics
18.89 sq km
Professionals
18.78 sq km
Government
18.46 sq km
Combined all weight
18.36 sq km
Considering provided areas from only high and very high suitable classes, combined group weights provides the biggest feasible areas of sq km, while combined all weight offers smallest areas.
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

23. Discussions 8.
Surprisingly, the result of feasibility analysis using combined group weights offers sq km of high and very high suitable classes for new park area, which is % of Bogor Municipality area.
According to Bogor Municipality master plan 2031 only around 4.5 % of the municipality area is planned to be additional urban park area. This result gives more chance to decision maker to develop public urban park more legitimately.
In term of area extent, the result shows that about 93 % of villages can comply with the regulation if 5 % of administrative area is suggested to be park area.
Experts in government and professional really care about “where should or should not be developed”.
Experts in academics group might think ideally to develop urban park based on “where it should be needed most” that is referred to school location.
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

24. Conclusions 8.
It can be concluded that feasible areas and locations from different sets of weights and groups of experts are not much different;
It can be interpreted that opinions from all expert groups and their combinations with respect to criteria weights and weights among them were expressed in the same direction and agreement, or almost no conflict in other word;
In terms of feasible location, it can be observed that the most similar results are from combined all weights and government group of experts. The most dissimilar results are from combined all weights and combined group of experts;
For further study, some additional qualification elements of expert such as familiarity to the project area and specific professional training program could be recommended [Li et al,2015].
And now I come to the third part of the presentation “definitions and literature reviews”. In this part I will describe a bit about solid waste disposal and previous study

25. References
A. Mela, “Urban public space between fragmentation, control and conflict”, City, Territory and Architecture. New York. vol 1, pp.1-7, 2014.
R. Laing, D. Miller, A. M. Davies and S. Scott, “Urban green space: the incorporation of environmental values in a decision support system”, Journal of Information Technology in Construction. Sweden, vol. 11, pp , 2006.
Indonesian Ministry of Public Works, “Guideline of Green Open Space Planning in Urban Environment Number 05 Year 2008”.
Y. Meng, and J. Malczewski, “A GIS-based multicriteria decision making approach for evaluating accessibility to public parks in Calgary, Alberta”, Journal of Studies and Research in Human Geography. Romania, vol. 9, pp , 2015.
K. Gupta, A. Roy, K. Luthra, S. Maithani, and Mahavir, “GIS based analysis for assessing the accessibility at hierarchical levels of urban green spaces”, Urban Forestry and Urban Greening. Netherlands, vol. 18, pp ,
P. D. Uy, and N. Nakagoshi, “Application of land suitability analysis and landscape ecology to urban greenspace planning in Hanoi, Vietnam”, Urban Forestry and Urban Greening. Netherlands, vol. 7, pp , 2008.
L. Gigović, D. Pamučar, D. Lukić, and S. Marković, “GIS-Fuzzy DEMATEL MCDA model for the evaluation of the sites for ecotourism development: A case study of “Dunavski ključ” region, Serbia”, Land Use Policy. Netherland, vol. 58, pp , 2016.
R. Arabsheibani, Y. Kanani Sadat, and A. Abedini, “Land suitability assessment for locating industrial parks: a hybrid multi criteria decision-making approach using Geographical Information System”. Geographical Research. Australia, vol. 54, pp. 446–460, 2016.

26. References
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27. THANK YOU FOR YOUR KIND ATTENTION