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A technology selection and design model of a semi-rapid transit line

Author

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  • Luigi Moccia

    (Consiglio Nazionale delle Ricerche, Istituto di Calcolo e Reti ad Alte Prestazioni
    Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT))

  • Duncan W. Allen

    (IBI Group)

  • Eric C. Bruun

    (Kyyti Group Ltd.)

Abstract

We present a new optimization model for technology selection and design of a semi-rapid transit line. With respect to previous studies, we improve the synthetic representation of the temporal and spatial variability of demand, and of several operational and design aspects. We apply the model to two scenarios offering comparable performance by commercially available technologies in terms of service, rather than assuming that service quality is strongly associated with technology. The model is validated by comparing some computed performance indices with best practices. We show that planning for a faster technology can be more important than the choice between bus and rail per se, except at very low demand density, and that differences of total cost, sum of passengers’ time value and operator’s cost, between the technologies are smaller than commonly held across a wide range of higher demands. At high demand density multiple-unit rail offers the most cost-effective way to achieve high capacities under many conditions. A scenario variation analysis shows the relevance of differences between value of time components, the bias of averaging vehicle load ratios when assessing the crowding disutility, the usefulness of a demand index abstracting from some specific parameter choices, and the high impact of the project discount rate.

Suggested Citation

  • Luigi Moccia & Duncan W. Allen & Eric C. Bruun, 2018. "A technology selection and design model of a semi-rapid transit line," Public Transport, Springer, vol. 10(3), pages 455-497, December.
    • Handle: RePEc:spr:pubtra:v:10:y:2018:i:3:d:10.1007_s12469-018-0187-1
    DOI: 10.1007/s12469-018-0187-1
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    References listed on IDEAS

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    Cited by:

    1. Luigi Moccia & Duncan W. Allen & Gilbert Laporte & Andrea Spinosa, 2022. "Mode boundaries of automated metro and semi-rapid rail in urban transit," Public Transport, Springer, vol. 14(3), pages 739-802, October.
    2. Luigi Moccia & Duncan W. Allen & Gilbert Laporte, 2020. "A spatially disaggregated model for the technology selection and design of a transit line," Public Transport, Springer, vol. 12(3), pages 647-691, October.
    3. Philipp Heyken Soares & Christine L. Mumford & Kwabena Amponsah & Yong Mao, 2019. "An adaptive scaled network for public transport route optimisation," Public Transport, Springer, vol. 11(2), pages 379-412, August.
    4. Gülçin Canbulut & Erkan Köse & Oğuzhan Ahmet Arik, 2022. "Public transportation vehicle selection by the grey relational analysis method," Public Transport, Springer, vol. 14(2), pages 367-384, June.
    5. Philipp Heyken Soares, 2021. "Zone-based public transport route optimisation in an urban network," Public Transport, Springer, vol. 13(1), pages 197-231, March.
    6. Nir Sharav & Yoram Shiftan, 2021. "Optimal Urban Transit Investment Model and Its Application," Sustainability, MDPI, vol. 13(16), pages 1-29, August.

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