PUBLIC URBAN PARK AREA DEMAND ESTIMATION USING FUZZY INFERENCE AND GIS
Keywords:
Urban park area demand, fuzzy inference systems, GIS, visit densityAbstract
This article delivers the results of the optimum public urban park (PUP) area demand using an integrated geographic information system (GIS) and fuzzy inference systems (FISs) for every village in Bogor Municipality, Indonesia. Three spatial criteria, namely population density, accessibility, and PUP policy demand from the villages, acquired using the GIS were input into the FISs as antecedents while the visit density served as a consequent in both the Mamdani and Sugeno FISs. The optimum PUP area demand of each village was then estimated from the optimized visit density obtained from each FIS. The agreement estimation between the PUP area demand and feasible land use and land cover (of each village revealed that Mamdani provided the most optimum PUP area demand with a total area of 0.13 km2.
References
Abdi, H. (2010). Normalizing data. Richardson, TX, USA: University of Texas at Dallas, Richardson. Available from: www.utdallas.edu. Accessed date: Jan 31, 2018.
Arya, R., Antonisamy, B., and Kumar, S. (2012) Sample size estimation in prevalence studies. Indian J. Pediatr., 79:1,482-1,488.
Bezdek, J.C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms. 1st ed. Springer Science and Business Media, NY, USA, 272p.
Bogor Central Statistics Agency. (2017). Bogor city in figures. Bogor, Indonesia: Bogor Central Statistics Agency. Available from: www.bogorkota.bps. go.id. Accessed date: Nov 23, 2018.
Calkins, K.G. (2005). Correlation coefficients. Berrien Springs, MI, USA: Andrews University. Available from: www.andrews.edu/~calkins. Accessed date: Sept 21, 2018.
Demissie, M.G., Correia, G., and Bento, C. (2015). Analysis of the pattern and intensity of urban activities through aggregate cellphone usage. Transportmetrica A, 11(6):502-524.
Esri. (2018). Cross validation. Redlands, CA, USA: Esri. Available from: www.pro.arcgis.com. Accessed date: April 4, 2018.
Givi, A.A., Karimi, S., Moarab, Y., Foroughi, N., and Nikzad, V. (2015). Using fuzzy logic analysis in GIS and FAHP method for parks site selection in urban environment (Case study: Region 7, Tehran Municipality). Current World Environment, 10(2):13.
Gueorguieva, N., Valova, I., and Georgiev, G. (2017). M&MFCM: Fuzzy c-means clustering with Mahalanobis and Minkowski distance metrics. Procedia Comput. Sci., 114:224-233.
Gupta, K., Roy, A., Luthra, K., Maithani, S., and Mahavir. (2016). GIS based analysis for assessing the accessibility at hierarchical levels of urban green spaces. Urban For. Urban Gree., 18:198-211.
Indonesian Ministry of Public Works. (2008). Regulation Number 5 Year 2008 on Guidelines for Provision of Urban Green Open Space. Available: www.birohukum. pu.go.id. Accessed date: March 10, 2016.
Kim, S.Y., Lee, J.W., and Bae, J.S. (2006). Effect of data normalization on fuzzy clustering of DNA microarray data. BMC Bioinformatics, 7(1):134.
Kotchencz, G. and Blaschke, T. (2017). Urban parks: Visitors’ perceptions versus spatial indicators. Land Use Policy, 64:233-244.
Mahmoud, A.H.A. and El-Sayed, M.A. (2011). Development of sustainable urban green areas in Egyptian new cities: The case of El-Sadat City. Landscape Urban Plan., 101(2):157-170.
Mamdani, E.H. and Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Mach. Stud., (7)1:1-13.
Mathworks. (2018a). Fcm. Available from: www.mathworks. com. Accessed date: Feb 8, 2017.
Mathworks. (2018b). What Is Sugeno-type fuzzy inference? Available from: www.mathworks.com. Accessed date: Feb 8, 2017.
Meng, Y. and Malczewski, J. (2015). A GIS-based multicriteria decision making approach for evaluating accessibility to public parks in Calgary, Alberta. Journal of Studies and Research in Human Geography, (9)1:29-41.
Sugeno, M. (1985). Industrial Applications of Fuzzy Control. Elsevier Science, Amsterdam, Netherlands, 269p.
Uy, P.D. and Nakagoshi, N. (2008). Application of land suitability analysis and landscape ecology to urban greenspace planning in Hanoi, Vietnam. Urban For. Urban Gree., 7(1):25-40.
Wicaksono, A. and Sarapirome, S. (2017). Urban park area feasibility analysis using fuzzy aggregation of multi-spatial criteria and multi-expert weights. Proceedings of the 12th International Conference on Digital Information Management; September 12-14, 2017; Fukuoka, Japan, p. 246-251.
Zanon, D. (1996). Expecting visitors? Be prepared! Australian Parks and Recreation, 32(1):18-26.
Zanon, D. (1998). A Model for Estimating Urban Park Visitation. Parks Victoria, Melbourne, Vic., Australia, 25p.
