2014
DOI: 10.1016/j.jtrangeo.2014.04.002
|View full text |Cite
|
Sign up to set email alerts
|

Evaluating accessibility impacts of the proposed America 2050 high-speed rail corridor for the Appalachian Region

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
21
0
1

Year Published

2016
2016
2024
2024

Publication Types

Select...
6
2
2

Relationship

0
10

Authors

Journals

citations
Cited by 52 publications
(28 citation statements)
references
References 26 publications
0
21
0
1
Order By: Relevance
“…Secondly, the effect of enterprise size on the role of HSR is also considered. The relationship between land demand, labor demand, and HSR is highly similar according to Equation (6). Figure 4 takes the change of land demand as an example to reveal the relationship between HSR and the two demands.…”
Section: High-speed Rail (Hsr) and Industrymentioning
confidence: 88%
“…Secondly, the effect of enterprise size on the role of HSR is also considered. The relationship between land demand, labor demand, and HSR is highly similar according to Equation (6). Figure 4 takes the change of land demand as an example to reveal the relationship between HSR and the two demands.…”
Section: High-speed Rail (Hsr) and Industrymentioning
confidence: 88%
“…In a study by Cao et al (2013), weighted average travel times and travel costs, contour measures, and potential accessibility were employed as indicators to analyse the accessibility impacts of China's HSR network on 49 cities (most are provincial capital cities), with the emphasis on mid-to-long distance passenger transport. In a case study in the Appalachian region, Chandra and Vadali (2014) conducted a systemized analysis on the accessibility impact of the proposed America 2050 HSR plan; the author used travel time to a county from all other counties to evaluate the accessibility change by comparing the 2002 base period (the "no-build" year) and the future year of 2035 (the "build" year). Based on train timetables, Shaw et al (2014) used travel time, travel costs, and travel distance to assess HSR impacts on the accessibility of various cities across China.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Therefore, it has been used in different aspect of travel demand forecasting, location choice and appraisal of land-use changes [33]. Beside as Chandra and Vadali also studied an accessibility analysis of USA Appalachia region; accessibility effects not only from the point of distance also economic activities in the region [34].…”
Section: General Information About Case Areamentioning
confidence: 99%