Evaluating efficiency of passenger railway stations: A DEA approach

Sameni, Melody Khadem; Preston, John; Sameni, Mona Khadem

doi:10.1016/j.rtbm.2016.06.001

Cited by 35 publications

(9 citation statements)

References 41 publications

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“…The limit of this model is represented by its sensitivity to the data and parameters considered. Indeed, by selecting other input and output variables or by considering fewer parameters for the evaluation, different results can be obtained [35].…”

Section: Methods For Estimating Airport Efficiencymentioning

confidence: 99%

Airport Efficiency Analysis in Europe Including User Satisfaction: A Non-Parametric Analysis with DEA Approach

et al. 2021

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In recent years, the air transport sector has played a significant role in the economy of the areas served. The demand for air travel has doubled every fifteen years and has grown faster with respect to other industries. This is also due to the introduction of low-cost airlines (LCA). In the coming decades, more efficient management of airports will become an essential aspect to address. A clear understanding of the current airport structure based on the analysis of the operational efficiency will therefore be necessary. All air carriers seek to expand their operations at airports, which tend to operate efficiently in order to reduce costs. However, in carrying out their activities and maximizing operational efficiency, airports should simultaneously manage to increase their passengers’ satisfaction. All over the world, passengers are demanding higher levels of service and regulators are paying increasing attention to the provision of airport services and the quality of the services supplied. Starting from these considerations, the aim of this paper is to study the efficiency of an airport through joint analysis of the operational efficiency (with the Data Envelopment Analysis -DEA-model) for the airport manager (by maximizing the exploitation of existing infrastructures), taking into consideration the quality of airport services as perceived by the user. The original and added value of this work lies in the quantitative analysis of the main characteristics that determine the efficiency of main European airports, also taking into account the quality perceived by the users during their trips with the air mode. Thus, the efficiency of 103 European airports in 37 different countries, for the year 2018, were compared, highlighting the effect of low-cost airlines. This aspect, as far as the authors know, has not been treated in the literature. Indeed, this study represents a decision support system (DSS) tool for operational managers in the air sector for the identification of the characteristics that improve airport efficiency. This paper refers to the pre-COVID-19 period because it would not be useful to make an efficiency analysis influenced by the pandemic, since the latter represents a specific event. Therefore, this analysis provides interesting inputs for both researchers and practitioners to manage the issue of efficiency in ordinary contexts. Moreover, the airline industry is characterized by cut-throat competition, and it may be very useful in the close future to examine this issue to improve firms’ management in the industry.

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Section: Methods For Estimating Airport Efficiencymentioning

confidence: 99%

Airport Efficiency Analysis in Europe Including User Satisfaction: A Non-Parametric Analysis with DEA Approach

et al. 2021

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“…In general, railway DEA models are rather concentrated on the input side on capital invested and human input, while passengers and freight are typically used as outputs. For example, railway stations were analyzed in the UK by different railway network infrastructure investments and staff count, and train stops and passengers handled were used as outputs [37]. Only in the railway network scheduling DEA model [38] were time based output indicators used.…”

Section: Research Methodology and Data Sources Usedmentioning

confidence: 99%

Belt and Road Initiative and Railway Sector Efficiency—Application of Networked Benchmarking Analysis

Hilmola

2019

Sustainability

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In recent years, there has been a lot of attention paid to China’s Belt and Road Initiative (BRI), which aims to invest in better connecting China, South-East Asia, Central Asia, the Middle East and Europe. As countries that share the same continent, and are in many cases without proper sea connection (landlocked), the key mode of long-distance transportation is railways. However, numerous countries have different levels of past investments, labor productivity, transportation profile, and culture surrounding railways, and all of this leads to differences in overall efficiency. In this research, we apply well established and widely used data envelopment analysis (DEA) to evaluate the longitudinal efficiency of railway operations. This is the first time such an analysis is completed on the Belt and Road member countries. Efficiency itself hardly improved at all during the examination period, whether in passenger and freight or just freight transports. China itself represents an important benchmark for many countries, as its efficiency is all the time highest possible. In the network benchmarking analysis, it was shown that China, Estonia, Latvia, and Israel are often proposed benchmarks for the others to increase their efficiency in the future. From efficiency development perspective, Chinese railway sector is beneficial and more balanced to be benchmarked as compared to other significantly sized railway countries, like India or Russia.

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“…DEA is widely used to evaluate performance in road, rail, and air transportation fields (e.g., Hjalmarsson and Odeck [21], Merkert et al [22], Andrejić et al [23], Sameni et al [24], and Cowie [25]). In addition, it has been in continuous use in the field of maritime logistics for analyzing the operational efficiency of ports and the shipping industry [26].…”

Section: Dea Application Studies In Maritime Logisticsmentioning

confidence: 99%

Analysis of Operational Efficiency Considering Safety Factors as an Undesirable Output for Coastal Ferry Operators in Korea

Kim¹,

Lee

Kim

2020

JMSE

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In the maritime transportation services industry, marine accidents may lead to fatalities, injuries, and property losses. Coastal ferry operators experience marine accidents and must pay attention to safety to guarantee the sustainability of their business. This study is aimed at analyzing the operational efficiency of coastal ferry operators in Korea from a safety perspective. We designed two slack-based measure of efficiency (SBM) models. One is a normal SBM, which includes only the total passenger volume as the desirable output. The other is a safety-constrained SBM, which includes marine accident records as an undesirable output with the desirable output of passenger transportation performance. We selected 44 coastal ferry operators in Korea that have been continuously operating for five years (2013–2017) as decision-making units (DMUs) and compared their operational efficiency scores. The results showed that the impact of marine accidents on business is greater in DMUs with lower transportation sales than in those with higher sales. This suggests that, while it is important for the government to strengthen safety regulations, a combination of policies that also help small ferry operators to stay in business in the long term is necessary to reduce marine accidents effectively while improving efficiency.

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Evaluating efficiency of passenger railway stations: A DEA approach

Cited by 35 publications

References 41 publications

Airport Efficiency Analysis in Europe Including User Satisfaction: A Non-Parametric Analysis with DEA Approach

Airport Efficiency Analysis in Europe Including User Satisfaction: A Non-Parametric Analysis with DEA Approach

Belt and Road Initiative and Railway Sector Efficiency—Application of Networked Benchmarking Analysis

Analysis of Operational Efficiency Considering Safety Factors as an Undesirable Output for Coastal Ferry Operators in Korea

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