Next Article in Journal
Feasibility of Reusing Damaged Steel Beams in Temporary Structures
Previous Article in Journal
A Hidden Markov Model and Fuzzy Logic Forecasting Approach for Solar Geyser Water Heating
Previous Article in Special Issue
A Validated Train-Track-Bridge Model with Nonlinear Support Conditions at Bridge Approaches

Socioeconomic Benefits of the Shinkansen Network

School of Engineering, University of Birmingham, Birmingham B15 2TT, UK
Author to whom correspondence should be addressed.
Academic Editors: Gabriella Mazzulla and Giuseppe Cantisani
Received: 13 March 2021 / Revised: 19 April 2021 / Accepted: 28 April 2021 / Published: 30 April 2021
(This article belongs to the Special Issue Road and Rail Infrastructures)
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. View Full-Text
Keywords: socioeconomic impacts; population dynamic; high-speed rail (HSR); sustainability; transport and policy socioeconomic impacts; population dynamic; high-speed rail (HSR); sustainability; transport and policy
Show Figures

Figure 1

MDPI and ACS Style

Rungskunroch, P.; Jack, A.; Kaewunruen, S. Socioeconomic Benefits of the Shinkansen Network. Infrastructures 2021, 6, 68.

AMA Style

Rungskunroch P, Jack A, Kaewunruen S. Socioeconomic Benefits of the Shinkansen Network. Infrastructures. 2021; 6(5):68.

Chicago/Turabian Style

Rungskunroch, Panrawee, Anson Jack, and Sakdirat Kaewunruen. 2021. "Socioeconomic Benefits of the Shinkansen Network" Infrastructures 6, no. 5: 68.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop