A Multi-Dimensional Clustering Applied to Classify the Typology of Urban Public Parks in Bangkok Metropolitan Area, Thailand
Chompoonut Kongphunphin, Manat Srivanit
Abstract
Public parks are public spaces that support community activities and enhance the environmental quality of a city. Depending on the local urban context in terms of socio-economic conditions and location, the physical characteristics and particular uses of each public park may vary from each other. Accordingly, urban public parks and their uses reflect the characteristics of communities and neighborhoods where the public parks are located. The aim of this study is to apply analytical approaches using a multi-dimensional clustering method to classify multivariate characteristics of public parks into typologies that combine a set of criteria related to internal park attributes and external physical environments around parks in an urban context of Bangkok Metropolitan Area, Thailand. An analysis of a multi-dimensional data set from 30 public parks resulted in six identified clusters of characteristics of urban park areas. The study demonstrates how the context-specific typology can assist local urban planners, policymakers, and government authorities when considering management strategies for public parks in Bangkok areas.