Evaluating efficiency of passenger railway stations: A DEA approach

Stations are bottlenecks for railway transportation as they are where traffics merge and diverge. Numerous activities such as passengers boarding, alighting and interchanging, train formation and technical checks are also done at these points. The number of platforms is limited and it is vital to do all the work efficiently. For the first time in the literature, we implement a methodology based on data envelopment analysis which is benchmarked from ports and airport efficiency studies. It can help policy makers and practitioners to rank stations in terms of efficiency and take more informative decisions. The proposed methodology can analyse the relative ‘technical efficiency’ of stations to handle train stops with existing station capacity. The second stage model analyses ‘service effectiveness’ to identify how well train stops at a station are transformed into the number of passenger entries, exits and interchanges, taking into account catchment area population and job opportunities. The models are applied to a case study of the 96 busiest train stations in Great Britain and are followed up by two Tobit regressions to assess the effect of traffic type and location on the results.

[1]  Kazushige Terada,et al.  A Study on the Third-Sector Urban Railway Efficiency in Japan , 2009 .

[2]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[3]  John S. Liu,et al.  A survey of DEA applications , 2013 .

[4]  Joe Zhu,et al.  Data Envelopment Analysis: Modeling Operational Processes And Measuring Productivity , 2008 .

[5]  Ming-Miin Yu,et al.  Assessing the technical efficiency, service effectiveness, and technical effectiveness of the world's railways through NDEA analysis , 2008 .

[6]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[7]  Jack E. Doomernik Performance and Efficiency of High-speed Rail Systems , 2014 .

[8]  Ali Emrouznejad,et al.  Ranking efficient decision-making units in data envelopment analysis using fuzzy concept , 2010, Comput. Ind. Eng..

[9]  Leo G. Kroon,et al.  Routing Trains Through Railway Stations: Model Formulation and Algorithms , 1996, Transp. Sci..

[10]  Dan Max Burkolter,et al.  Capacity of railways in station areas using Petri Nets , 2005 .

[11]  Roland W. Scholz,et al.  Generic functions of railway stations--A conceptual basis for the development of common system understanding and assessment criteria , 2011 .

[12]  Eliska Kleinová,et al.  Does liberalization of the railway industry lead to higher technical effectiveness? , 2016, J. Rail Transp. Plan. Manag..

[13]  Does Affirmative Action Reduce Productivity? A Case Study of the Indian Railways , 2014 .

[14]  Sebastián Lozano,et al.  Application of centralised DEA approach to capital budgeting in Spanish ports , 2011, Comput. Ind. Eng..

[15]  Simon Blainey,et al.  Forecasting the use of new local railway stations and services using GIS , 2009 .

[16]  Ali Emrouznejad,et al.  Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years , 2008 .

[17]  M. M. Movahedi,et al.  Iran Railway Efficiency Analysis, Using DEA: An International Comparison , 2011 .

[18]  Leo G. Kroon,et al.  Routing trains through a railway station based on a node packing model , 2001, Eur. J. Oper. Res..

[19]  Thomas R. Sexton,et al.  Operational performance of U.S. public rail transit and implications for public policy , 2014 .

[20]  Alex Landex,et al.  Developing the UIC 406 Method for Capacity Analysis , 2011 .

[21]  Leo Kroon,et al.  Routing trains through railway stations: complexity issues , 1997 .

[22]  You Xiao-yu Research on the Efficiency Evaluation of China's Railway Transport Enterprises with Network DEA , 2011 .

[23]  Z. Jing Assessment of china railway logistics performance based on DEA , 2010 .

[24]  Mohammad Mahallati Rayeni,et al.  Ranking and measuring efficiency using secondary goals of cross-efficiency evaluation – a study of railway efficiency in Iran , 2014 .

[25]  Harwinder Singh,et al.  Benchmarking the performance indicators of Indian Railway container business using data envelopment analysis , 2014 .

[26]  Somchai Pathomsiri,et al.  Limitations of DEA-based approach and alternative methods in the measurement and comparison of social efficiency across firms in different transport modes: An empirical study in Japan , 2013 .

[27]  Olli-Pekka Hilmola,et al.  Analysing global railway passenger transport through two-staged efficiency model , 2010, Int. J. Inf. Decis. Sci..

[28]  Chris Nash,et al.  Benchmarking of train operating firms – a transaction cost efficiency analysis , 2010 .

[29]  Akihiro Nakamura,et al.  Causes of inefficiency in Japanese railways: Application of DEA for managers and policymakers , 2010 .

[30]  Prasenjit Chatterjee,et al.  Performance evaluation of Indian Railway zones using DEMATEL and VIKOR methods , 2016 .

[31]  I. A. Hansen,et al.  Optimizing capacity utilization of stations by estimating knock-on train delays , 2007 .

[32]  Olov Lindfeldt Quality on single-track railway lines with passenger traffic. Analytical model for evaluation of crossing stations and partial double-tracks , 2007 .

[33]  Abraham Charnes,et al.  Management Models and Industrial Applications of Linear Programming , 1961 .

[34]  William W. Cooper,et al.  Data Envelopment Analysis: History, Models, and Interpretations , 2011 .

[35]  Malachy Carey,et al.  Scheduling and Platforming Trains at Busy Complex Stations , 2003 .

[36]  Jin-Li Hu,et al.  Efficiency analysis of the regional railway in China: an application of DEA-Tobit approach , 2010 .

[37]  C. Barros,et al.  Performance evaluation of Italian airports: A data envelopment analysis , 2007 .

[38]  José Manuel Pastor,et al.  Evaluating European railway deregulation using different approaches , 2012 .

[39]  John S. Liu,et al.  Data envelopment analysis 1978-2010: A citation-based literature survey , 2013 .

[40]  Simon Blainey,et al.  Developing a CUI-based approach to network capacity assessment , 2011 .

[41]  Simon Blainey Trip end models of local rail demand in England and Wales , 2010 .

[42]  Ayoe Hoff,et al.  Second stage DEA: Comparison of approaches for modelling the DEA score , 2007, Eur. J. Oper. Res..

[43]  W. Cooper,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 1999 .

[44]  Bo Yang,et al.  Bottlenecks detection of track allocation schemes at rail stations by Petri nets , 2009 .

[45]  Jeffery T. Walker,et al.  Statistics in Criminology and Criminal Justice: Analysis and Interpretation , 2008 .

[46]  D. Wu,et al.  Efficiency of the modal shift and environmental policy on the Korean railroad , 2011 .

[47]  Malin Song,et al.  Railway transportation and environmental efficiency in China , 2016 .

[48]  Chan-Yong Choi,et al.  Evaluation of Railway Line Segment Deterioration Using AHP and DEA , 2013 .

[49]  Simon Blainey,et al.  Barriers to Passenger Rail Use: A Review of the Evidence , 2012 .

[50]  Leonardo Caggiani,et al.  Measuring Transport Systems Efficiency Under Uncertainty by Fuzzy Sets Theory Based Data Envelopment Analysis: Theoretical and Practical Comparison with Traditional DEA Model , 2015 .

[51]  Malachy Carey,et al.  Scheduling Trains on a Network of Busy Complex Stations , 2007 .

[52]  Gholam R. Amin,et al.  Railway station site selection using analytical hierarchy process and data envelopment analysis , 2010, Comput. Ind. Eng..

[53]  Henrique Rego,et al.  IT Services Management and ISO 20000: A Case Study in an IT Remote Support Company , 2014 .