Arif Wicaksono, Sunya Sarapirome* 12th International Conference on Digital Information Management Kyushu University, Fukuoka, Japan 12-14 September 2017 Urban park area feasibility analysis using fuzzy aggregation of multi-spatial criteria and multi-expert weights Arif Wicaksono, Sunya Sarapirome* Emails : *a.bijaksono@gmail.com, *sunyas@g.sut.ac.th 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, 30000 Thailand

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

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 (2008 -2014) 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)

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 (2008 -2014) 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) 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 (2008 -2014) 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)

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 (2008 -2014) 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

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 …..

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)

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

Criteria preparation : urban park policy demand and population density 5. 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

Distant-related criteria 5. 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

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

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

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

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

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

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

Results : Urban park feasibility map based on fuzzy DEMATEL 7. 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

Results : Urban park feasibility map based on fuzzy DEMATEL 7. 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

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 0.9530 (183478, 9053, 0) 0.9537 (181707, 7053, 1771) 0.9775 (183469, 4217,9) 0.9862 (182701, 1774, 777) - 0.9702 (187764, 996, 4767) 0.9703 (187238, 448, 5293) 0.9582 (184475, 0, 8056) 0.9535 (183745, 3941, 5015) 0.9666 (183447, 1028, 5313) 0.9763 (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

Results : Causal and Effect Relationship Diagrams 7. (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

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 19.26 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

Discussions 8. Surprisingly, the result of feasibility analysis using combined group weights offers 19.26 sq km of high and very high suitable classes for new park area, which is 16.25 % 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

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

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