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The Rutland Road: Second Edition
Contributor(s): Shaughnessy, Jim (Author)
ISBN: 0815604696     ISBN-13: 9780815604693
Publisher: Syracuse University Press
OUR PRICE:   $35.96  
Product Type: Hardcover - Other Formats
Published: March 1997
Qty:
Annotation: 'It is a pleasure to see one of the best railroad histories, a well-balanced mix of text and photography, appear in a second edition.... The new edition...incorporates two new sections covering the reincarnation of the defunct property.
Additional Information
BISAC Categories:
- Transportation | Railroads - History
Dewey: 385.065
LCCN: 96051169
Series: New York State
Physical Information: 1.25" H x 8.6" W x 11.2" (3.45 lbs) 436 pages
Themes:
- Geographic Orientation - New York
- Geographic Orientation - Vermont
 
Descriptions, Reviews, Etc.
Publisher Description:

One would be challenged to find a railroad to compare scenically and historically with the Rutland Railroad. With Yankee persistence, it struggled for its existence in the snows of Vermont and northern New York for more than one hundred years. Running through territory amply covered by larger and stronger lines, it survived bankruptcy, receivership, flood, unequal competition, seizure, depression, and strikes. Its vestigial remains operate in a small area to this day.

Jim Shaughnessy--award-winning railroad photographer and authority--discusses the Rutland's entire history thoroughly, from preconstrnction in 1831 to the present. In this updated edition, the author covers the history of the three lines that continued to operate after the demise of the Rutland Railroad-the Vermont Railway, the Green
Mountain Railroad, and the Ogdensburg Bridge and Port Authority.

Lavishly illustrated with more than 500 incomparable photographs (including those by railroad photographer Philip R. Hastings), The Rutland Road has other features for the railroad enthusiast and historian alike: maps, charts, reproductions of advertisements, a detailed index with engine rosters, a chronology of the Rutland Railroad, and other significant statistical information.