Details:

Creators:
Racca, David P. ; Ratledge, Edward C.
Racca, David P. ; Ratledge, Edward C. Less -
Corporate Contributors:
University of Delaware. Delaware Transportation Institute ; Delaware. Dept. of Transportation
University of Delaware. Delaware Transportation Institute ; Delaware. Dept. of Transportation Less -
Subject/TRT Terms:
[+]
Choice Of Transportation Commuting Commuting--Delaware Modal Split Mode Choice
Resource Type:
Tech Report
Geographical Coverage:
Delaware
Corporate Publisher:
Delaware Center for Transportation
Abstract:
This project is the second part in a two part modeling effort. In previous work*, mode

choice was modeled by examining characteristics of individuals and the trips they make.

A study of the choices of individuals is necessary for a fundamental understanding of

travel mode choice. Models were built to estimate mode split at the State and County

level. Where transit or walk trips often account for only 1 to 5% of all trips, the main

problem in modeling the use of other choices of travel besides the personal auto is that

there is very little data available. The modeling difficulty becomes greater as estimates

of mode split are desired for smaller levels of geography, such as for a traffic zone, rather

than a County.

For use in travel demand forecasting and examination of transit markets, almost all mode

choice models used by transportation agencies are developed using aggregate level data,

typically at the level of a traffic zone, such as population totals, mean incomes, average

household characteristics, and other summary data. The reason for this is that aggregate

data, such as provided by the U.S. Census, is typically more available. For the most part,

estimates of travel mode split used in travel demand models are not very sophisticated

and often consist of an estimate based on fixed percentage of trips (e.g. 1% of trips in a

zone will be accomplished by using transit) rather than a model considering a number of

factors.

This project investigates how travel mode split can be modeled using aggregate data at

smaller levels of geography like traffic zones for use in route planning and travel demand

forecasting. It starts with models based on individual data developed at the county level

and investigates the applicability of these models at smaller levels of geography where

aggregate estimates of the factors are available.


Format:
PDF
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:31f7d5390f6166620fe7ca1f9659a6dce44d70e4c023742ee71d203bc101d545
Download URL:
https://rosap.ntl.bts.gov/view/dot/17967/dot_17967_DS1.pdf
File Type:

Supporting Files

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