Explaining Visual Quality Criteria of Streetview by Visual Quality Classification and Matrix of Achievement Measures, Case Study: Mashhad and Gorgan Walkways

Sidewalks are urban corridors where some of the most important social activities occur. Therefore, considering the criteria which affecting the beauty and optimization of these paths is of great importance in examining the views of the streets. Identifying the most important aesthetic criteria of the sidewalks is the aim of the present study. A total of four pedestrian paths from two cities of Mashhad and Gorgan have been investigated using visual quality classification and matrix approach approaches.The data obtained from completing 100 visual questionnaires were analyzed by 50 experts in two stages by using the visual quality classification methods and the matrix for achieving the measures, finally the most important criteria were identified.The outcome results of the questionnaire indicated that colour with 82/2% and green space with 77/7% had more effective role in beautifying the sidewalk paths respectively. Also, the results make it possible for researchers to prepare the possibility with intention of increasing more visual pleasure of urban landscape by using them .On the other hand, instead of effective abstract criteria on beauty of streets landscapes, more precise and practical criteria identified and the process of reviewing the beauty of streets landscapes have been speeded up and accurate for designers and planners.