emily haines dating - Transferability and updating of disaggregate travel demand models

However, the study by Lin and Long focuses only on household auto work trips and not on other kinds of trips that are likely to exhibit more variation in trip generation relationships across space and time. A study by Lin and Long (2007) highlights this issue and suggests that including these additional variables can enhance spatial transferability.

transferability and updating of disaggregate travel demand models-15

This study is supported by a Grant-in-Aid for Scientific Research (Grant No.

21330103) from the Japan Society for the Promotion of Science.

Thus, separate models for home- based trips and nonhome-based trips are developed, without any consideration of the dependence between these categories of trips.

Another important issue to note in the earlier trip genera- tion studies is that they have all been trip based and do not consider trip chaining and the more general interdependence among trips of individuals.

Volet and Hutchinson (1986) evaluated the ability of growth factor-based B-6 and gravity-based trip distribution models for commuting trips estimated in the Toronto region in 1971 to predict the spatial distribution of commuting trips in 1981.

B.2 Trip Distribution/ Destination Choice B.2.1 Temporal Transferability The literature on transferability of trip distribution/ destination choice is relatively limited and has been focused on temporal transferability, not spatial transferability.

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Four transfer approaches were evaluated: transfer scaling, Bayesian updating, combined transfer, and joint context estimation.

Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages. The influence of the size of the appli- cation context data on transferability was also examined by using five different samples. “Explanatory and Forecasting Capabilities of Trip Distribution Models.” Canadian Journal of Civil Engineering, 13, pp.

The analysis showed that the factors can depend on regional characteristics and past travel behaviours (inertia), and are anti-symmetric and path-dependent of changes in the level of service.

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