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On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level
(Elsevier, 2013)
This paper proposes a new spatial multivariate count model to jointly analyze the traffic crash-
related counts of pedestrians and bicyclists
by injury severity. The modeling framework is
applied to predict injury counts ...
A Flexible Spatially Dependent Discrete Choice Model: Formulation and Application to Teenagers' Weekday Recreational Activity Participation
(Elsevier, 2010)
This study proposes a simple and practical Composite Marginal Likelihood (CML) inference approach to estimate ordered-response discrete choice models with flexible copula-based spatial dependence structures across observational ...
Flexible Spatial Dependence Structures for Unordered Multinomial Choice Models: Formulation and Application to Teenagers’ Activity Participation
(Springer, 2012)
The current paper proposes an approach to accommodate flexible spatial dependency structures in
discrete choice models in general, and in unordered multinomial choice models in particular. The
approach is applied to ...
A spatial panel ordered-response model with application to the analysis of urban land use development intensity patterns
(Springer, 2013)
This
paper proposes and estimates a
spatial panel ordered-response
probit model with temporal
autoregressive error terms to analyze changes in
urban land development intensity levels over
time. Such a model structure ...
The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models
(Elsevier, 2011)
The likelihood functions of multinomial probit (MNP)-based choice models entail the evaluation
of analytically-intractable integrals. As a result, such models are usually estimated using
maximum simulated likelihood (MSL) ...
A Spatial Generalized Ordered Response Model to Examine Highway Crash Injury Severity
(Elsevier, 2013)
This paper proposes a flexible econometric structure for injury severity analysis at the level of
individual crashes that recognizes the ordinal nature of injury severity categories, allows
unobserved heterogeneity in ...
A Latent Variable Representation of Count Data Models to Accommodate Spatial and Temporal Dependence: Application to Predicting Crash Frequency at Intersections
(Elsevier, 2012)
This paper proposes a reformulation of count models as a special case of generalized orderedresponse
models in which a single latent continuous variable is partitioned into mutually
exclusive intervals. Using this ...
A New Spatial Multiple Discrete-Continuous Modeling Approach to Land Use Change Analysis
(2013-07-03)
This paper formulates a multiple discrete-continuous probit (MDCP) land-use model within a
spatially explicit economic structural framework for land-use change decisions. The spatial
MDCP model is capable of predicting ...
Incorporating spatial dynamics and temporal dependency in land use change models
(The Ohio State University, 2012)
This paper formulates an empirical discrete land-use model within a spatially explicit economic
structural framework for land-use change
decisions. The underlying framework goes beyond
mechanistic fitting models for the ...
Model for Children's School Travel Mode Choice: Accounting for Effects of Spatial and Social Interaction
(National Academy of Sciences, 2011)
Numerous programs aimed at enhancing the choice of bicycle and walk as modes of choice for children's trips to and from school are being implemented by public agencies around the world. Disaggregate choice models capable ...