wow-inequalities/02-data/intermediate/wos_sample/b5d3c5a65fb6d9603e328d8f03b7f068-rungskunroch-panraw/info.yaml

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2023-09-28 14:46:10 +00:00
abstract: 'High speed rail (HSR) networks have been an essential catalyst in
stimulating and balancing regional economic growth that ultimately
benefits the society as a whole. Previous studies have revealed that HSR
services sustainably yield superior social values for people, especially
for adults and those of working age. This has become an advantage of HSR
networks over other forms of public transportation. The Shinkansen
network in Japan is one of most successful HSR models. Its services
bring significant social advantages to the communities it serves, such
as shorter travel times and increased job opportunities. Nevertheless,
the societal impact of HSR networks depends on many factors, and the
benefits of HSR could also be overrated. The goal of this research is to
measure the socioeconomic impacts of HSR on people of all genders and
age groups. The outcomes could lead to more suitable development of HSR
projects and policies. This study investigates data sets for Japanese
social factors over 55 years in order to determine the impacts of HSR.
The assessment model has been established using Python. It applies
Pearson''s correlation (PCC) technique as its main methodology. This
study broadly assesses social impacts on population dynamics, education,
age dependency, job opportunities, and mortality rate using an
unparalleled dataset spanning 55 years of social factors. The results
exhibit that younger generations have the most benefits in terms of
equal educational accessibility. However, the growth of the HSR network
does not influence an increase in the employment rate or labour force
numbers, resulting in little benefit to the workforce.'
affiliation: 'Kaewunruen, S (Corresponding Author), Univ Birmingham, Sch Engn, Birmingham
B15 2TT, W Midlands, England.
Rungskunroch, Panrawee; Jack, Anson; Kaewunruen, Sakdirat, Univ Birmingham, Sch
Engn, Birmingham B15 2TT, W Midlands, England.'
article-number: '68'
author: Rungskunroch, Panrawee and Jack, Anson and Kaewunruen, Sakdirat
author-email: 'PXR615@student.bham.ac.uk
C.R.Jack@bham.ac.uk
s.kaewunruen@bham.ac.uk'
author_list:
- family: Rungskunroch
given: Panrawee
- family: Jack
given: Anson
- family: Kaewunruen
given: Sakdirat
da: '2023-09-28'
doi: 10.3390/infrastructures6050068
eissn: 2412-3811
files: []
journal: INFRASTRUCTURES
keywords: 'socioeconomic impacts; population dynamic; high-speed rail (HSR);
sustainability; transport and policy'
keywords-plus: HIGH-SPEED RAIL; IMPACT; STATIONS; DYNAMICS
language: English
month: MAY
number: '5'
number-of-cited-references: '44'
orcid-numbers: 'Jack, Anson/0000-0001-5735-2558
Kaewunruen, Sakdirat/0000-0003-2153-3538'
papis_id: a16ff7ccefdd0f8ab236d4defbc0d4bf
ref: Rungskunroch2021socioeconomicbenefit
researcherid-numbers: Kaewunruen, Sakdirat/A-6793-2008
times-cited: '5'
title: Socioeconomic Benefits of the Shinkansen Network
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000656441500001
usage-count-last-180-days: '2'
usage-count-since-2013: '11'
volume: '6'
web-of-science-categories: 'Construction \& Building Technology; Engineering, Civil;
Transportation
Science \& Technology'
year: '2021'