Scholarly record
ASSESSMENT OF THE ATTRACTIVENESS OF URBAN OPEN SPACES USING FUZZY INFERENCE
Abstract
The paper focuses on the possibilities of assessing the attractiveness of open recreational areas in the city using mathematical tools based on fuzzy logic. Urban studies aimed at evaluation of the chosen urban structure or its fragment always require taking into account many criteria. They are factors which often are difficult to be measured. Then the expert's knowledge and experience play a key role. The paper presents the concept of inference based on fuzzy logic. It has been used to assess the attractiveness of recreational open spaces. The factors influencing the attractiveness of recreational green areas are e.g. availability of the studied area, the equipment of the area with elements serving different interest groups of users as well as various age groups. Green open spaces are also considered depending on the location in the city and their rank, especially the extent of their impact in the city's structure. It happens that the use of green areas in the city is smaller than their potential. At the same time, new investments are planned and their location and concept of the general structure are being considered. Making a decision related to the revitalization of an already existing area or constructing a new one involves a choice among several alternative solutions. Fast computer analysis can greatly facilitate the decision-making process and at the same time may pay attention to factors that were not previously noticed. The target recipient of such a system may be people making decisions on behalf of the city authorities or the system can be an auxiliary tool for experts.
Publication Impact Profile
Publication details
References9
Lower, M., Lower, A.: Evaluation of the Location of the P&R Facilities Using Fuzzy Logic Rules. In: Theory and Engineering of Complex Systems and Dependability: Proceedings of the Tenth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, June 29 – July 3 2015, Brunów, Poland. Springer International Publishing, Cham (2015) 255–264
Lower, A., Lower, M., Masztalski, R., Szumilas, A.: The location of park and ride facilities using the fuzzy inference model. Architectural and Environmental Engineering 2(10) (2015) 507
Lower A., Lower M., Masztalski R., Pach, P. Szumilas, A.: Locating P&R facilities by the fuzzy inference - case of medium-sized cities, Name of the Conference: 3rd International Multidisciplinary Scientific Conference on Social Sciences and Arts, SGEM, Austria 2016, Conference proceedings, Vienna, Austria, 6-9 April, 2016. Book 4, Arts, performing arts, architecture and design. Vol. 2, Architecture and design, pp. 359-366, 2016
Lower M., Lower A.: Determining the criteria for setting input parameters of the fuzzy inference model of P&R car parks locating. In: Computational Collective Intelligence : 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016 : proceedings. Pt. 1 / Ngoc Thanh Nguyen, Yannis Manolopoulos, Lazaros Iliadis, Bogdan Trawiński (Eds.). [Cham] : Springer, cop. 2016. s. 239-248
Piątkowska K., Scholtz A., Wirszyłło R.: Rekreacja w osiedlu. Zakład Wydawniczy CRS, Warszawa 1976.
Gibson, S.C., "Can I Come To The Park?" Access to Urban Open Space: An investigation of older adults in Australia, their perceived and real access to open space, and implications for practice, University of California, Los Angeles, 2017.
Sugiyama, T., Gunn, L.D., Christian, H., Francis, J., Foster, S., Hooper, P., Owen, N. & Giles-Corti, B. 2015, "Quality of Public Open Spaces and Recreational Walking", American Journal of Public Health, vol. 105, no. 12, pp. 2490-2495, 2015.
Lo, S.M., Yiu, C.Y. & Lo, A., "An analysis of attributes affecting urban open space design and their environmental implications", Management of Environmental Quality, vol. 14, no. 5, pp. 604-614, 2003.
Byrne, J.; Sipe, Neil , Green and open space planning for urban consolidation – A review of the literature and best practice, Urban Research Program, Issues Paper 11, Griffith University, 2010.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.



