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Traffic Impact Analysis of Gold Coast Light Rail Stage 2

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Intelligent Interactive Multimedia Systems and Services (KES-IIMSS-18 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 98))

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Abstract

The Gold Coast Light Rail project represents a significant investment in public transportation infrastructure on the Gold Coast and is one of the key initiatives set out in City of Gold Coast Council’s Transport Strategy 2031. This paper conducts an impact analysis of Stage 2 on the peripheral transportation network. To assess the anticipated impacts, a traffic simulation was conducted in PTV Visum 16 for the base year of 2018 and forecasted for year 2031. For the base and forecasted models, a scenario was prepared both with and without Stage 2 of the system to allow a comparison of results between the variants. According to the results, it is found that Stage 2 has a positive impact on the transportation network by successfully implementing an integrated transport solution encouraging users to switch to public transport.

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References

  1. Farahani, R.Z., Miandoabchi, E., Szeto, W.Y., Rashidi, H.: A review of urban transportation network design problems. Eur. J. Oper. Res. 229, 281–302 (2013)

    Article  MathSciNet  Google Scholar 

  2. Infrastructure Australia 2016. Australian Infrastructure Plan

    Google Scholar 

  3. James, M.: Transport Infrastructure. Parliamentary Library (2013). http://www.aph.gov.au/About_Parliament/Parliamentary_Departments/Parliamentary_Library/pubs/BriefingBook44p/Transport. Accessed 1 Sept 2017

  4. GCCC: Gold Coast City Transport Strategy 2031 Technical report (2013)

    Google Scholar 

  5. Fierek, S., Zak, J.: Planning of an integrated urban transportation system based on macro–simulation and MCDM/A methods. Procedia Soc. Behav. Sci. 54, 567–579 (2012)

    Article  Google Scholar 

  6. Meng, L., Taylor, M.A., Scrafton, D.: Combining latent class models and gis models for integrated transport and land use planning–a case study application. Urban Policy Res. 34, 305–329 (2016)

    Article  Google Scholar 

  7. Solecka, K., Żak, J.: Integration of the urban public transportation system with the application of traffic simulation. Transp. Res. Procedia 3, 259–268 (2014)

    Article  Google Scholar 

  8. DTMR: Gold Coast Light Rail Stage 2 Newsletter (2016)

    Google Scholar 

  9. GCCC: Gold Coast Light Rail Feasability Study Summary Report (2004)

    Google Scholar 

  10. Queensland Government Department of Infrastructure Local Government and Planning. Gold Coast Health and Knowledge Precinct (2017) http://www.edq.qld.gov.au/economic-development-queensland/parklands-health-and-knowledge-precinct.html. Accessed 13 Mar 2017

  11. Qu, X., Zhang, J., Wang, S.: On the stochastic fundamental diagram for freeway traffic: model development, analytical properties, validation, and extensive applications. Transp. Res. Part B 104, 256–271 (2017)

    Article  Google Scholar 

  12. Kuang, Y., Qu, X., Wang, S.: A tree-structured crash surrogate measure for freeways. Accid. Anal. Prev. 77, 137–148 (2015)

    Article  Google Scholar 

  13. Zhou, M., Qu, X., Li, X.: A recurrent neural network based microscopic car following model to predict traffic oscillation. Transp. Res. Part C 84, 245–264 (2017)

    Article  Google Scholar 

  14. Wang, S., Qu, X.: Station choice for Australian commuter rail lines: equilibrium and optimal fare design. Eur. J. Oper. Res. 258(1), 144–154 (2017)

    Article  MathSciNet  Google Scholar 

  15. Bie, Y., Cheng, S., Easa, S., Qu, X.: Stop Line set back at a signalized roundabout: a new concept for traffic operations. J. Transp. Eng. ASCE 142(3), 05016001 (2016)

    Article  Google Scholar 

  16. Ponnurangam, P., Umadevi, G.: Traffic Impact Analysis (TIA) for Chennai IT Corridor. Transp. Res. Procedia 17, 234–243 (2016)

    Article  Google Scholar 

  17. Xiao, X.Q.: A study on the major problems of urban traffic impact analysis. In: Applied Mechanics and Materials, pp. 2619–2622. Trans Tech Publications (2012)

    Article  Google Scholar 

  18. PTV AG, PTV Visum 16 Manual. Karlsruhe (2016)

    Google Scholar 

  19. Li, L., Loo, B.P.: Towards people-centered integrated transport: a case study of Shanghai Hongqiao Comprehensive Transport Hub. Cities 58, 50–58 (2016)

    Article  Google Scholar 

  20. GCCC: Gold Coast Rapid Transit Corridor Study (2011)

    Google Scholar 

  21. Yulianto, B., Setiono: Web application and database modeling of traffic impact analysis using Google Maps. In: AIP Conference Proceedings, p. 060002. AIP Publishing (2017)

    Google Scholar 

  22. McNally, M.G.: The Four-Step Model. Handbook of Transport Modelling, 2nd edn. Emerald Group Publishing Limited (2007)

    Chapter  Google Scholar 

  23. DTMR: 2016 Traffic Census Data - Google Earth (2017)

    Google Scholar 

  24. DTMR: Cost-benefit Analysis Manual Road Projects (2011)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Griffith School of Engineering, Griffith University, Gold Coast, QLD, 4222, Australia

    Yan Kuang, Barbara Yen & Kate Barry

Authors
  1. Yan Kuang
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  2. Barbara Yen
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  3. Kate Barry
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Corresponding author

Correspondence to Yan Kuang .

Editor information

Editors and Affiliations

  1. Istituto Di Calcolo E Reti Ad Alte Prestazioni (Icar), National Research Council, Roma, Italy

    Giuseppe De Pietro

  2. Istituto Di Calcolo E Reti Ad Alte Prestazioni (Icar), National Research Council, Roma, Italy

    Luigi Gallo

  3. Bournemouth University, Poole, United Kingdom

    Robert J. Howlett

  4. Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia

    Lakhmi C. Jain

  5. Griffith Sciences - Centres and Institutes, Griffith University, South Brisbane, Queensland, Australia

    Ljubo Vlacic

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Kuang, Y., Yen, B., Barry, K. (2019). Traffic Impact Analysis of Gold Coast Light Rail Stage 2. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L., Vlacic, L. (eds) Intelligent Interactive Multimedia Systems and Services. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-92231-7_41

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