A behavioral housing search model: Two-stage hazard-based and multinomial logit approach to choice-set formation and location selection

Residential location search has become an important topic to both practitioners and researchers as more detailed and disaggregate land-use and transportation demand models are developed which require information on individual household location decisions. The housing search process starts with an alternative formation and screening stage. At this level households evaluate all potential alternatives based on their lifestyle, preferences, and utilities to form a manageable choice set with a limited number of plausible alternatives. Then the final residential location is selected among these alternatives. This two-stage decision making process can be used for both aggregate zone-level selection as well as searching disaggregate parcel or building-based housing markets for potential dwellings. In this paper a zonal level household housing search model is developed. Initially, a household specific choice set is drawn from the entire possible alternatives in the area based on the average household work distance to each alternative. Following the choice set formation step, a discrete choice model is utilized for modeling the final residential zone selection of the household. A hazard-based model is used for the choice set formation module while the final choice selection is modeled using a multinomial logit formulation with a deterministic sample correction factor. The approach presented in the paper provides a remedy for the large choice set problem typically faced in housing search models.

[1]  F. James Statistical Methods in Experimental Physics , 1973 .

[2]  F. Koppelman,et al.  The generalized nested logit model , 2001 .

[3]  T. Oum,et al.  Determinant Attributes in Retail Patronage: Seasonal, Temporal, Regional, and International Comparisons , 1983 .

[4]  D. Brillinger,et al.  Handbook of methods of applied statistics , 1967 .

[5]  W. Greene Sample Selection Bias as a Specification Error: Comment , 1981 .

[6]  Daniel J. Evans A behavioral simulation model for metropolitan policy analysis and planning: residential location and housing market components of UrbanSim , 1999 .

[7]  M. Bierlaire,et al.  Sampling of Alternatives for Route Choice Modeling , 2009 .

[8]  Jean-Claude Thill,et al.  Estimating a Destination-Choice Model from a Choice-Based Sample with Limited Information , 2010 .

[9]  Allan D. Shocker,et al.  Consideration set influences on consumer decision-making and choice: Issues, models, and suggestions , 1991 .

[10]  Murphy A. Sewall,et al.  A Choice Sets Model of Retail Selection , 1987 .

[11]  Mark D. Uncles,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1987 .

[12]  James O. Huff,et al.  Geographic Regularities in Residential Search Behavior , 1986 .

[13]  Taha Hossein Rashidi,et al.  Behavioral Housing Search Choice Set Formation: A Hazard-Based Screening Model of Property Value and Work Distance , 2010 .

[14]  Harry Timmermans,et al.  Applications of behavioural research on spatial problems II: preference and choice , 1990 .

[15]  Chandra R. Bhat,et al.  Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions , 2011 .

[16]  Abolfazl Mohammadian,et al.  Modeling interdependencies between vehicle transaction, residential relocation and job change , 2011 .

[17]  Elaine Murakami,et al.  The puget sound transportation panel after two waves , 1992 .

[18]  Brian D. Johnson,et al.  Is the Magic Still There? The Use of the Heckman Two-Step Correction for Selection Bias in Criminology , 2007 .

[19]  Chandra R. Bhat,et al.  Numerical Analysis of Effect of Sampling of Alternatives in Discrete Choice Models , 2004 .

[20]  K. Kockelman,et al.  Self-Selection in Home Choice , 2008 .

[21]  W. Clark,et al.  Does commuting distance matter? Commuting tolerance and residential change , 2002 .

[22]  J. Heckman Sample selection bias as a specification error , 1979 .

[23]  Ryuichi Kitamura,et al.  Aggregation in Spatial Choice Modeling , 1979 .

[24]  M. Ben-Akiva,et al.  The Use of the Life-Style Concept in Travel Demand Models , 1983 .

[25]  P. Waddell A Behavioral Simulation Model for Metropolitan Policy Analysis and Planning: Residential Location and Housing Market Components of Urbansim , 2000 .

[26]  Mark Ferguson,et al.  DISCRETE SPATIAL CHOICE MODELS FOR AGGREGATE DESTINATIONS , 1996 .