Urban housing selection

Abstract

This paper examines the selection process of housing in urban areas as a coalition process between buyers and sellers. A behavioral and analytic theory is used to predict occupancy of different socioeconomic neighborhoods by persons of different income levels. By including different preferences of buyers and sellers dependent upon their basic socioeconomic background, it is possible to predict decrease or increase of neighborhood size as a function of these preferences. The model allows us to take into account explicitly the effect of bargaining and interdependency of both buyers and sellers in the community system, thus expanding our definition and understanding of decision making about housing in the household sector of this system. An example is included using some data from the Canadian housing market. cc1 241 Behavioral Science. Volume 20. 1975 ions presented in this paper do not necessarily represent those of the Ministry of State for Urban Affairs.

Housing fuzzy recommender system: A systematic literature review

“…Due to the large amount of existing data, obtaining valid data has become highly complex; distinguishing between accurate and inaccurate reasoning in-creases the difficulty of managing the desired information. For these reasons, new practical tools have been generated to find adequate information on time and improve the efficiency in the use of data, such as clustering techniques, biclustering, matrix factorization, graph theory and fuzzy techniques in data systems recommendation that have been mentioned by Cassidy [ 1 ] and Goldberg et al [ 2 ].…”