Differences in railway strategies: The empirical case of private, public-owned, and third-sector railways in Tokyo

Altieri, Marcelo; Raskova, Erza; Costa, Álvaro

doi:10.1016/j.rtbm.2022.100787

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…With the lack of historical data, several studies have simulated how transport networks may have evolved by specifying principles that may govern their development (Ash and Newth, 2007; Xie and Levinson, 2009b; Strano et al, 2012; Mohajeri and Gudmundsson, 2014). Other studies investigated the evolution of railway network alongside population growth descriptively (Darroch, 2014), analytically (Beeson, DeJong, and Troesken, 2001; Atack et al, 2010; Schwartz, Gregory, and Thévenin, 2011; Felis‐Rota, Henneberg, and Mojica, 2012), through network coverage (Alvarez, Franch, and Martí‐Henneberg, 2013; Jiang and Levinson, 2017; Kim et al, 2021; Altieri, Raskova, and Costa, 2022; Lahoorpoor and Levinson, 2022), through economy (Barthélemy and Flammini, 2009), and accessibility (Koopmans, Rietveld, and Huijg, 2012). It has been shown that municipal population growth is positively influenced by improved accessibility due to railway access and connections.…”

Section: Introductionmentioning

confidence: 99%

The Spatiotemporal Evolution of Sydney's Tram Network Using Network Econometrics

Wang

Lahoorpoor

Levinson

2022

Geographical Analysis

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This paper examines the evolution of Sydney trams using network econometrics approaches. Network econometrics extends spatial econometrics by developing weight matrices based on the physical structure of the network, allowing for competing and complementary elements to have distinct effects. This research establishes a digitized database of Sydney historical tramway network, providing a complete set of geo-referenced data of the opening and closing year and frequencies by time of day for every line. An autoregressive distributed lag model is specified and reveals that the combination of correlation strength and magnitude of lagged flow change on correlated links is a significant predictor of future tram service. The results indicate that complementary and competitive links play distinct roles in shaping the network structure. A link is more likely to undergo the same structural change highly complementary (upstream or downstream) links underwent previously, where the influence is measured by a combination of correlation strength and link importance, reflected by historical service levels.

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Section: Introductionmentioning

confidence: 99%

The Spatiotemporal Evolution of Sydney's Tram Network Using Network Econometrics

Wang

Lahoorpoor

Levinson

2022

Geographical Analysis

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A review of research methods on the coupling relationship between urban rail transit and urban space: revealing spatiotemporal relationships through big data

Liu,

Xia,

Zhang

2024

International Journal of Digital Earth

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Cost Inefficiency of Japanese Railway Companies and Impacts of COVID-19 Pandemic and Digital Transformation

Endo,

Goto

2024

Economies

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The outbreak of the COVID-19 pandemic seriously affected railway businesses. The motivation of this study is to provide vital information to railway company management and policymakers by quantitatively assessing the cost efficiency of railway operations. We examine the efficiency of Japanese listed railway companies by applying stochastic frontier analysis to their operational and financial data from 2005 to 2020. Then, we classify the companies into four groups by cost efficiency levels and identify the characteristics of the best-practice companies. Furthermore, we analyze the factors influencing cost efficiency before and during the pandemic. Finally, we discuss the sustainable business practices and measures of digital transformation (DX) that can be applied to improve efficiency and survive severe events like the pandemic. From the results, we reveal that cost-efficient companies succeeded in securing profits through the creation of new services by proactive DX investments. The practical contributions of this study are threefold: quantifying the deterioration in efficiency due to the pandemic; identifying characteristics of best-practice companies; and examining the relationship between cost efficiency levels and concrete measures and investments for sustainable business practices. This study proposes a new analytical framework that combines conventional methods.

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Differences in railway strategies: The empirical case of private, public-owned, and third-sector railways in Tokyo

Cited by 3 publications

References 20 publications

The Spatiotemporal Evolution of Sydney's Tram Network Using Network Econometrics

The Spatiotemporal Evolution of Sydney's Tram Network Using Network Econometrics

A review of research methods on the coupling relationship between urban rail transit and urban space: revealing spatiotemporal relationships through big data

Cost Inefficiency of Japanese Railway Companies and Impacts of COVID-19 Pandemic and Digital Transformation

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