Browsing by Subject "location choice"

Now showing 1 - 4 of 4

An Analysis of Weekend Work Activity Patterns in the San Francisco Bay Area
(Springer, 2007) Sall, Elizabeth A.; Bhat, Chandra R.
The purpose of this study is to examine the spatial and temporal characteristics of weekend work episodes. Specifically, we examine whether individuals work over the weekend and, if they work, whether they work at home or outside the home. We also model the time of day of weekend work. The empirical analysis in the paper is based on the 2000 San Francisco Bay Area Travel Survey. The results indicate the important effects of day of week/seasonal effects, individual demographics, work-related variables, household characteristics, and location variables on weekend work participation characteristics. The models estimated in the paper may be embedded within a larger weekend activity-travel pattern forecasting model system.
A Comprehensive, Unified, Framework for Analyzing Spatial Location Choice
(National Academy of Sciences, 2007) Sivakumar, Aruna; Bhat, Chandra R.
This paper develops a conceptual and econometric framework of non-work activity location choice that is comprehensive in its incorporation of spatial cognition, heterogeneity in preference behavior, and spatial interaction. The proposed framework subsumes a variety of restricted models including the multinomial logit, first-order state dependence logit, spatially correlated logit and mixed spatially correlated logit models. The applicability of the framework is demonstrated through an empirical analysis using the German Mobidrive data.
A continuous time representation and modeling framework for the analysis of nonworker activity-travel patterns: Tour and episode attributes
(Transportation Research Board of the National Academies, 2003) Misra, Rajul; Bhat, Chandra R.; Srinivasan, Sivaramakrishnan
This paper presents a set of four econometric models to examine the tour and episode-related attributes (specifically mode choice, activity duration, travel times, and location choice) of the activity-travel patterns of non-workers. The paper is a sequel to an earlier work by the authors [see Bhat and Misra (1)], which presented a comprehensive continuous-time framework for representation and analysis of the activity-travel choices of non-workers. That paper also presented detailed descriptions of the first two components of the modeling framework related to the number and sequence of activity episodes. The current paper estimates the proposed models using activity-travel data from the 1990 San Francisco Bay Area travel diary survey.
A Mixed Spatially Correlated Logit Model: Formulation and Application to Residential Choice Modeling
(Elsevier, 2004) Bhat, Chandra R.; Guo, Jessica Y.
In recent years, there have been important developments in the simulation analysis of the mixed multinomial logit (MMNL) model as well as in the formulation of increasingly flexible closedform models belonging to the Generalized Extreme Value (GEV) 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.