Valuating urban environmental quality using factor analysis method (case study: Kermanshah metropolis)

Introduction: Concerns about the inadequacy of environmental quality exist in most cities of Iran. Environmental problems represent one of the most important issues in modern urban areas, alongside their conflicts with the natural environment. The urban environment comprises the three sub-systems of natural environment, socio-economic environment, and human structure. Moreover, quality of life in cities is one of the main elements in urban development. As a consequence, Urban Environment Quality Assessment has been of great importance in urban development planning. Generally, quality of life is an important criterion for meeting the needs of urban citizens and for enabling social and economic services for them as well as ensuring access to such urban amenities as hospitals, parks, etc. This research study aimed to identify and rank the environmental indicators in Kermanshah city though use of a questionnaire, the Delphi technique and factor analysis. Materials and methods: This research was descriptive-analytical in terms of its character and objectives, and fro the perspective of data and information collection in a documentary and survey manner. The statistical population of the study comprised environmental experts identifies according to their environmental conditions and the indicators were extracted using the Delphi technique, as a knowledge-gathering method, and questionnaires. The members of the Delphi panel comprised between 10-15 people distributed over two or three rounds based on the agreement of the members of the questionnaire group. With the consent of the members of the Delphi panel, three rounds of questionnaires were distributed and, in each round, some of the indices were eliminated from the total of the questions and the factors that scored highest in each round were selected for the next one. In order to evaluate and analyse the questionnaire data and determine the main factors, a factor analysis method was used in SPSS software. Factor analysis is a method for reducing a large number of quantitative variables into a small number of underlying assumed variables, known as agents, and its main purpose is to reduce the volume of data and to determine the most important variables in the formation of a particular phenomenon. Results and discussion: According to the results of the analysis of questionnaires in three rounds of 51 primary indicators extracted from internationally accredited institutions and indices of Iran, and the localiza