AbstractIn recent years, there have been important developments in the simulation analysis of the mixed multinomial logit model as well as in the formulation of increasingly flexible closed-form models belonging to the generalized extreme value class. In this paper, we bring these developments together to propose a mixed spatially correlated logit (MSCL) model for location-related choices. The MSCL model represents a powerful approach to capture both random taste variations as well as spatial correlation in location choice analysis. The MSCL model is applied to an analysis of residential location choice using data drawn from the 1996 Dallas–Fort Worth household survey. The empirical results underscore the need to capture unobserved taste variations and spatial correlation, both for improved data fit and the realistic assessment of the effect of sociodemographic, transportation system, and land-use changes on residential location choice.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A mixed spatially correlated logit model: formulation and application to residential choice modeling


    Contributors:

    Published in:

    Publication date :

    2002-12-13


    Size :

    22 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Spatially correlated nested logit model for spatial location choice

    Perez-Lopez, Jose-Benito / Novales, Margarita / Orro, Alfonso | Elsevier | 2022


    Injury Severity Analysis with Variable and Correlated Thresholds: Ordered Mixed Logit Formulation

    Srinivasan, K. K. / Transportation Research Board | British Library Conference Proceedings | 2002