Calibration of trip distribution by generalised linear models

Type of content
Theses / Dissertations
Publisher's DOI/URI
Thesis discipline
Transportation Engineering
Degree name
Doctor of Philosophy
Publisher
University of Canterbury. Department of Civil and Natuaral Resources Engineering
Journal Title
Journal ISSN
Volume Title
Language
Date
2012
Authors
Shrewsbury, John Stephen
Abstract

Generalised linear models (GLMs) provide a flexible and sound basis for calibrating gravity models for trip distribution, for a wide range of deterrence functions (from steps to splines), with K factors and geographic segmentation. The Tanner function fitted Wellington Transport Strategy Model data as well as more complex functions and was insensitive to the formulation of intrazonal and external costs. Weighting from variable expansion factors and interpretation of the deviance under sparsity are addressed.

An observed trip matrix is disaggregated and fitted at the household, person and trip levels with consistent results. Hierarchical GLMs (HGLMs) are formulated to fit mixed logit models, but were unable to reproduce the coefficients of simple nested logit models.

Geospatial analysis by HGLM showed no evidence of spatial error patterns, either as random K factors or as correlations between them. Equivalence with hierarchical mode choice, duality with trip distribution, regularisation, lorelograms, and the modifiable areal unit problem are considered.

Trip distribution is calibrated from aggregate data by the MVESTM matrix estimation package, incorporating period and direction factors in the intercepts. Counts across four screenlines showed a significance similar to a thousand-household travel survey. Calibration was possible only in conjuction with trip end data. Criteria for validation against screenline counts were met, but only if allowance was made for error in the trip end data.

Description
Citation
Keywords
Calibration, deterrence function, deviance, geospatial, gravity, hierarchical generalised linear model, matrix estimation, mixed logit, MVESTM, regression, sparsity, transport model, trip distribution
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Rights
Copyright John Stephen Shrewsbury