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Rail rebound: The impact of freight ...

Kasu, Bishal Bhakta.

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Rail rebound: The impact of freight rails on regional development in the United States, 1970-2010.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Rail rebound: The impact of freight rails on regional development in the United States, 1970-2010./
Author:	Kasu, Bishal Bhakta.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	372 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: A.
Contained By:	Dissertation Abstracts International78-08A(E).
Subject:	Sociology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10259117
ISBN:	9781369655865

Rail rebound: The impact of freight rails on regional development in the United States, 1970-2010.
Kasu, Bishal Bhakta.

Rail rebound: The impact of freight rails on regional development in the United States, 1970-2010. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 372 p.

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: A.

Thesis (Ph.D.)--South Dakota State University, 2017.

Railroads have played a critical role in economic growth and development, and they exert a tremendous impact on the distribution and redistribution of the population. However, the impacts of railroads, especially freight rails, on population change and socioeconomic development are not well understood. This study fills the gap in the literature by examining the demographic and socioeconomic impacts of freight rails using county-level data in the continental United States from 1970 to 2010. The demographic and socioeconomic changes are measured by eleven dependent variables. Of those eleven, six are demographic (population, young, old, White, Black, Hispanic) and five are socioeconomic (high school, bachelor's degree, graduate degree, employment, and income). The railroad is the explanatory variable, and it is measured by freight rail terminal density. This study utilizes data from various sources including the National Transportation Atlas Database, the Bureau of Labor Statistics, the National Historical Geographic Information System (NHGIS), cartographic boundary shapefiles, the land developability index, and decennial censuses of 1970, 1980, 1990, 2000, and 2010.

ISBN: 9781369655865Subjects--Topical Terms:

516174
Sociology.

Rail rebound: The impact of freight rails on regional development in the United States, 1970-2010.
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020 $a 9781369655865
035 $a (MiAaPQ)AAI10259117
035 $a AAI10259117
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kasu, Bishal Bhakta. $3 3278398
245 1 0 $a Rail rebound: The impact of freight rails on regional development in the United States, 1970-2010.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 372 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-08(E), Section: A.
500 $a Adviser: Guangqing Chi.
502 $a Thesis (Ph.D.)--South Dakota State University, 2017.
520 $a Railroads have played a critical role in economic growth and development, and they exert a tremendous impact on the distribution and redistribution of the population. However, the impacts of railroads, especially freight rails, on population change and socioeconomic development are not well understood. This study fills the gap in the literature by examining the demographic and socioeconomic impacts of freight rails using county-level data in the continental United States from 1970 to 2010. The demographic and socioeconomic changes are measured by eleven dependent variables. Of those eleven, six are demographic (population, young, old, White, Black, Hispanic) and five are socioeconomic (high school, bachelor's degree, graduate degree, employment, and income). The railroad is the explanatory variable, and it is measured by freight rail terminal density. This study utilizes data from various sources including the National Transportation Atlas Database, the Bureau of Labor Statistics, the National Historical Geographic Information System (NHGIS), cartographic boundary shapefiles, the land developability index, and decennial censuses of 1970, 1980, 1990, 2000, and 2010.
520 $a This study utilizes exploratory spatial data analysis, standard regression, and spatial regression models. The application of spatial lag model, spatial error model, and spatial error model with lag dependence systematically considers the spatial effects and produces more robust results. There are four broad major findings of this research. First, freight rail is a distributive force. Second, freight rail contributes to the urbanization and suburbanization process. Third, freight rail facilitates demographic and socioeconomic change. Fourth, freight rail has differential demographic and socioeconomic impacts at the regional level. The findings of this study are the outcomes of the multiple dependent and independent variables tested for many decades using robust statistical methods that measure direct and indirect impacts. Not only does this study apply the most advanced statistical methods in the railroad research, but it also addresses the social impact, which are less-researched topics in transportation literature. This study contributes uniquely to the transportation, demographic and social equity literature and extends the transportation discussion from the development perspective, and it could be useful helping shape a just society, which is the ultimate goal of transportation policy.
590 $a School code: 0205.
650 4 $a Sociology. $3 516174
650 4 $a Demography. $3 614991
650 4 $a Transportation. $3 555912
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690 $a 0938
690 $a 0709
710 2 $a South Dakota State University. $b Sociology. $3 3278399
773 0 $t Dissertation Abstracts International $g 78-08A(E).
790 $a 0205
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10259117