Dimensions of Landscape Preferences from Pairwise Comparisons1

Satisfaction Analysis of the Urban Landscape for 45-meter El-Goli Boulevard in Tabriz Using the SERVQUAL Model

 Both visual and service quality of urban landscape play an important role in the process of visual visibility assessment and effectiveness of these services as well. Given the fact that the existence of dead, cold, and soulless spaces in cities is affected by heterogeneity and visual contamination that is free from eye-catching and desirability. Therefore, this research seeks to evaluate the v...

Rest Areas Management; the Effect of Demographic Information into Users’ Preferences for Planning Parameters of Rest Areas

Rest areas have been built on the freeway to avoid traffic accidents and drowsiness so that road travelers can rest. These supplemental rest areas are very small-sized resting facilities located between the larger regular rest areas, which is a unique design. However, the management of rest areas and their accommodations need to be improved by considering the effective factors involved. In this...

Providing Empirical Suggestions for Rehabilitation of Deficient Urban Parks Based upon Users' Preferences

The main purpose of this study is to investigate the preferences of urban dwellers for variouselements of urban parks in order to provide some important suggestions for rehabilitation of urban deficient parks. Inthis regard, this study has conducted a survey in one of the oldest parks in Khorramabad, Iran, to reveal the overallsatisfaction of the park situation and to explore the preferences of...

A Specific Park for Women or a Public Park: Women’s Preferences and Perspectives on Using City Parks, Case Study: Four Parks in Tehran

Learning What Others Like: Preference Learning as a Mixed Multinomial Logit Model

People flexibly draw generalizations from others’ choices. For example, when one learns that a friend likes a set of movies within a particular genre, one might also infer that said friend would also like novel movies with similar features. The present project uses a Church implementation of mixed multinomial logit (MML) models to capture how people learn and generalize from other people’s pref...