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An integrated measure of accessibility and reliability of mass transit systems

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Abstract

The growth of a city or a metropolis requires well-functioning transit systems to accommodate the ensuing increase in travel demand. As a result, mass transit networks have to develop and expand from simple to complex topological systems over time to meet this demand. Such an evolution in the networks’ structure entails not only a change in network accessibility, but also a change in the level of network reliability on the part of stations and the entire system as well. Network accessibility and reliability are popular measures that have been widely applied to evaluate the resilience and vulnerability of a spatially networked system. However, the use of a single measure, either accessibility or reliability, provides different results, which demand an integrated measure to evaluate the network’s performance comprehensively. In this paper, we propose a set of integrated measures, named ACCREL (Integrated Accessibility and Reliability indicators) that considers both metrics in combination to evaluate a network’s performance and vulnerability. We apply the new measures for hypothetical mass transit system topologies, and a case study of the metro transit system in Seoul follows, highlighting the dynamics of network performance with four evolutionary stages. The main contribution of this study lies in the results from the experiments, which can be used to inform how transport network planning can be prepared to enhance the network functionality, thereby achieving a well-balanced, accessible, and reliable system. Insights on network vulnerability are also drawn for public transportation planners and spatial decision makers.

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References

  • Allenby, B., Fink, J.: Towards inherently secure and resilient societies. Science 309(5737), 1034–1036 (2005)

    Article  Google Scholar 

  • Black, W.R.: Transportation: A Geographical Analysis. Guliford Press, New York (2003)

    Google Scholar 

  • Cats, O., Jenelius, E.: Dynamic vulnerability analysis of public transport networks: mitigation effects of real-time information. Netw. Spat. Econ. 14(3–4), 435–463 (2014)

    Article  Google Scholar 

  • Cats, O., Yap, M., van Oort, N.: Exposing the role of exposure: public transport network risk analysis. Transp Res Part A Policy Pract 88, 1–14 (2016)

    Article  Google Scholar 

  • Cervero, R.: The Transit Metropolis: A Global Inquiry. Island Press, Washington (1998)

    Google Scholar 

  • Colbourn, C.J.: The Combinatorics of Network Reliability. Oxford University Press, New York (1987)

    Google Scholar 

  • D’Este, G.M., Taylor, M.A.P.: Network vulnerability: and approach to reliability analysis at the level of national strategic transport networks. In: Iida, Y., Bell, M.G.H. (eds.) The Network Reliability of Transport, pp. 23–44. Elsevier, Oxford (2003)

    Google Scholar 

  • Derrible, S.: Network centrality of metro systems. PLoS ONE 7(7), e40575 (2012)

    Article  Google Scholar 

  • Derrible, S., Kennedy, C.: Characterizing metro networks: state, form, and structure. Transportation 37, 275–297 (2010)

    Article  Google Scholar 

  • Dhillon, B.S.: Transportation Systems Reliability and Safety. CRC Press, New York (2011)

    Book  Google Scholar 

  • Geurs, K.T., De Montis, A., Reggiani, A.: Recent advances and applications in accessibility modelling. Comput. Environ. Urban Syst. 49, 82–85 (2015)

    Article  Google Scholar 

  • Geurs, K.T., Van Wee, B.: Accessibility evaluation of land-use and transport strategies: review and research directions. J. Transp. Geogr. 12, 127–140 (2004)

    Article  Google Scholar 

  • Gould, P.R.: Spatial Diffusion (Resource Paper No. 4). Association of American Geographers, Washington (1969)

    Google Scholar 

  • Grubesic, T., Matisziw, T., Murray, A., Snediker, D.: Comparative approaches for assessing network vulnerability. Int. Reg. Sci. Rev. 31(1), 88–112 (2008)

    Article  Google Scholar 

  • Harris, B.: Accessibility: concepts and applications. J. Transp. Stat. 4(5), 15–30 (2001)

    Google Scholar 

  • Jenelius, E., Cats, O.: The value of new public transport links for network robustness and redundancy. Transportmetr. A Transp. Sci. 11(9), 819–835 (2015)

    Article  Google Scholar 

  • Jenelius, E., Mattsson, L.-G.: Road network vulnerability analysis: conceptualization, implementation and application. Comput. Environ. Urban Syst. 49, 136–147 (2015)

    Article  Google Scholar 

  • Kim, H.: Geographical analysis on network reliability of public transportation systems: a case study of subway network system in Seoul. J. Korean Geogr. Soc. 48(3), 1–15 (2009)

    Google Scholar 

  • Kim, H.: p-Hub protection models for survivable hub network design. J. Geogr. Syst. 14(4), 437–461 (2012)

    Article  Google Scholar 

  • Kim, H., O’Kelly, M.E.: Reliability p-hub location problems in telecommunication networks. Geogr. Anal. 41(3), 283–306 (2009)

    Article  Google Scholar 

  • Kim, H., Song, Y.: Examining accessibility and reliability in the evolution of subway systems. J. Public Transp. 18(3), 89–106 (2015)

    Article  Google Scholar 

  • Kim, D.-O., Ryu, Y.-G., Choi, H.-G.: A study on the setting up method of subway access/egress area by walking and its application. J. Korea Plan. Assoc. 37(5), 177–186 (2002)

    Google Scholar 

  • Kim, H., Kim, C., Chun, Y.: Network reliability and resilience of rapid transit systems. Prof. Geogr. 68(1), 53–65 (2016)

    Article  Google Scholar 

  • Lee, W.D., Na, Y., Park, S., Lee, B., Joh, C.-H.: Transportation equity analysis based on the metropolitan household survey. J. Korean Urban Geogr. Soc. 15(1), 75–80 (2012)

    Google Scholar 

  • Li, Y., Kim, H.: Assessing survivability of the Beijing subway system. Int. J. Geospat. Environ. Res. 1(1), 3 (2014)

    Google Scholar 

  • Lin, J.: Network analysis of China’s aviation system, statistical and spatial structure. J. Transp. Geogr. 22, 109–117 (2012)

    Article  Google Scholar 

  • Mattsson, L.G., Jenelius, E.: Vulnerability and resilience of transport systems—a discussion of recent research. Transp. Res. Part A Policy Pract. 81, 16–34 (2015)

    Article  Google Scholar 

  • Michael, D.T.: Use On-Time Performance: A Field Study of Subway Service Reliability. New York City Transit Riders Council, New York (2000)

    Google Scholar 

  • National Transportation Database: Subway OD flows. http://www.ktdb.go.kr/web/guest/431# (2015). Accessed 29 Dec 2017

  • O’Kelly, M.E.: Network hub structure and resilience. Netw. Spat. Econ. 15, 235–251 (2015)

    Article  Google Scholar 

  • O’Kelly, M.E., Kim, H., Kim, C.: Internet reliability with realistic peering. Environ. Plan. 33(3), 325–343 (2006)

    Article  Google Scholar 

  • Overden, M.: Transit Maps of the World: Expanded and Updated Edition of the World’s First Collection of Every Urban Train Map on Earth. Penguin Books, London (2015)

    Google Scholar 

  • Reggiani, A., Nijkamp, P., Lanzi, D.: Transport resilience and vulnerability: the role of connectivity. Transp. Res. Part A 81, 4–15 (2015)

    Google Scholar 

  • Rodríguez-Núñez, E., García-Palomares, J.C.: Measuring the vulnerability of public transport networks. J. Transp. Geogr. 35, 50–63 (2014)

    Article  Google Scholar 

  • Roth, C., Kang, M., Batty, M., Barthelemy, M.: A long-time limit for world subway networks. J. R. Soc. Interface 9(75), 2540–2550 (2012)

    Article  Google Scholar 

  • Seoul Solution, Seoul Public Transportation Reform https://seoulsolution.kr/content/seoul-public-transportation-reform-0?language=en (2015). Accessed 22 Dec 2015

  • Shaw, S.-L.: Hub structures of major U.S. passenger airlines. J. Transp. Geogr. 1(1), 47–58 (1993)

    Article  Google Scholar 

  • Song, Y., Kim, H.: Evolution of subway network systems, transport accessibility and change of urban landscape: a longitudinal approach. Int. J. Appl. Geospat. Res. 6(2), 54–77 (2015)

    Article  Google Scholar 

  • Taaffe, E.J., Gauthier, H.L., O’Kelly, M.E.: Geography of Transportation. Prentice Hall, Upper Saddle River (1996)

    Google Scholar 

  • Taylor, M.A.P., D’Este, G.M.: Transport network vulnerability: a method for diagnosis of critical locations in transport infrastructure systems. In: Murray, A.T., Grubesic, T.H. (eds.) Critical Infrastructure: Reliability and Vulnerability, pp. 9–30. Springer, New York (2007)

    Chapter  Google Scholar 

  • Taylor, M.A.P., Susilawati, S.: Remoteness and accessibility in the vulnerability analysis of regional road networks. Transp. Res. Part A 46, 761–771 (2012)

    Google Scholar 

  • Van Wee, B.: Accessible accessibility research challenges. J. Transp. Geogr. 51, 9–16 (2016)

    Article  Google Scholar 

  • Vromans, M.J.C.M., Dekker, R., Kroon, L.G.: Reliability and heterogeneity of railway services. Eur. J. Oper. Res. 172(2), 647–665 (2006)

    Article  Google Scholar 

  • Wakabayashi, H., Iida, Y.: Upper and lower bounds of terminal reliability of road networks: an efficient method with Boolean algebra. J. Nat. Disaster Sci. 14, 29–44 (1992)

    Google Scholar 

  • Wang, X., Koç, Y., Derrible, S., Ahmad, S.N., Kooij, R.E.: Quantifying the robustness of metro networks. arXiv: 1505.06664 [physics.soc-ph] (2015)

  • Weber, J.: The evolving interstate highway system and the changing geography of the United States. J. Transp. Geogr. 25, 70–86 (2012)

    Article  Google Scholar 

  • Ye, Q., Kim, H.: Assessing network vulnerability of heavy rail systems with the impact of partial node failures. Transportation 1–24 (2018). https://doi.org/10.1007/s11116-018-9859-6

  • Yoo, Y.B., Deo, N.: A comparison of algorithms for terminal-pair reliability. IEEE Trans. Reliab. 37, 210–215 (1988)

    Article  Google Scholar 

  • Zhang, X., Miller-Hooks, E., Denny, D.: Assessing the role of network topology in transportation network resilience. J. Transp. Geogr. 46, 35–45 (2015)

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Geography, University of Tennessee, Knoxville, TN, 37996, USA

    Hyun Kim

  2. Department of Geography, Chonnam National University, Gwangju, 500-757, South Korea

    Yena Song

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  1. Hyun Kim
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  2. Yena Song
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Correspondence to Hyun Kim.

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Kim, H., Song, Y. An integrated measure of accessibility and reliability of mass transit systems. Transportation 45, 1075–1100 (2018). https://doi.org/10.1007/s11116-018-9866-7

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