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Optimal City Street Network Design Under Uncertainty

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  • John Andrew Howe

Abstract

In this article, we address the problem of city street network design - specifically that of using one-way vs. two-way streets - from a different perspective than existing published literature. While at least one author acknowledges that motorist familiarity should be a factor in network design, this has not been empirically modeled. Instead of implicitly assuming motorists travel optimal paths, we explicitly model motorist unfamiliarity and uncertainty with an area. Furthermore, while the published research uses VMT or similar metrics to evaluate network design, we propose the ratio of actual VMT to optimal VMT as a more appropriate metric, with a target ratio of unity. We develop two simple idealized city street grids: one in which all streets are two-way, and a second of perfectly alternating one-way streets. Motorists are simulated traveling on both grids while varying the level of unfamiliarity and uncertainty. For each motorist, the ratio of actual to optimal VMT is measured and recorded. Our results suggest that travel efficiency for visiting motorists unfamiliar with an area will always be highest for one-way street networks. The policy this suggests is that one-way network city street designs should be preferred when there are likely to be a high proportion of motorists who are unfamiliar with the area. This conclusion goes against the prevailing wisdom, since most analysis evaluates network designs based on minimizing VMT, assuming motorists travel optimal paths.

Suggested Citation

  • John Andrew Howe, 2016. "Optimal City Street Network Design Under Uncertainty," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 4(1), pages 11-16, April.
  • Handle: RePEc:anm:alpnmr:v:4:y:2016:i:1:p:11-16
    DOI: http://dx.doi.org/10.17093/aj.2016.4.1.5000169371
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    References listed on IDEAS

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    1. Zvi Drezner & George O. Wesolowsky, 1997. "Selecting an Optimum Configuration of One-Way and Two-Way Routes," Transportation Science, INFORMS, vol. 31(4), pages 386-394, November.
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    More about this item

    Keywords

    Monte Carlo Simulation; Transportation Modeling; Transportation Network Design;
    All these keywords.

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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