Understanding and predicting passenger rail travel: an empirical study.: An article from: Transportation Journal

This digital document is an article from Transportation Journal, published by American Society of Transportation and Logistics, Inc. on September 22, 1998. The length of the article is 5481 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the supplier: Travelers were surveyed to determine the behavior of passenger rail riders. Findings showed that customers of Amtrak have a holistic view of travel rather than being focused mainly on the in-transit experience. Using the primary characteristics which distinguish passenger rail riders from non-riders, a model was established to forecast Amtrak ridership. The model had a high degree of predictive ability, correctly categorizing more than 75% of the rider/non-rider decisions.

Citation Details
Title: Understanding and predicting passenger rail travel: an empirical study.
Author: Joe B. Hanna
Publication:Transportation Journal (Refereed)
Date: September 22, 1998
Publisher: American Society of Transportation and Logistics, Inc.
Volume: 38 Issue: 1 Page: 38(9)

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