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On the Applicability of the Space Syntax Methodology for the Determination of Street Lighting Classes

Author

Listed:
  • Francesco Leccese

    (Department of Energy, Systems, Territory and Constructions Engineering (DESTeC), University of Pisa, 56122 Pisa, Italy)

  • Davide Lista

    (Department of Energy, Systems, Territory and Constructions Engineering (DESTeC), University of Pisa, 56122 Pisa, Italy)

  • Giacomo Salvadori

    (Department of Energy, Systems, Territory and Constructions Engineering (DESTeC), University of Pisa, 56122 Pisa, Italy)

  • Marco Beccali

    (Department of Architecture (DARCH), University of Palermo, 90128 Palermo, Italy)

  • Marina Bonomolo

    (Department of Architecture (DARCH), University of Palermo, 90128 Palermo, Italy)

Abstract

Street lighting plays a crucial role in a city’s night landscape and in urban traffic management, influencing users’ comfort and safety. To contain costs of public street lighting systems and to avoid energy waste, illuminance levels on road surfaces must be adequate to fit actual traffic volumes, as prescribed by regulations. This is true not only for motorized roads but also for sidewalks, paths, and pedestrian areas. Regulations in force establish a relationship between road traffic volumes and minimum illuminance levels through the lighting classes selection procedure. Lighting classes selection is based on various para meters among which traffic volume is the most difficult to evaluate because traffic volumes are generally estimated or measured by a traffic observation campaign. In this paper, an alternative method for classes association which is based on a space syntax approach, is described. The method was applied to the case study town of Pontedera (Italy) for the analysis of the pedestrian and motorized traffic and it shows a good correlation between measured and estimated traffic volumes, demonstrating how the methodology, with a precise and quick estimation of traffic volumes, can help lead to a suitable design of the lighting infrastructure, aiming to reduce energy waste and to avoid oversized lighting systems.

Suggested Citation

  • Francesco Leccese & Davide Lista & Giacomo Salvadori & Marco Beccali & Marina Bonomolo, 2020. "On the Applicability of the Space Syntax Methodology for the Determination of Street Lighting Classes," Energies, MDPI, vol. 13(6), pages 1-12, March.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1476-:d:335073
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    References listed on IDEAS

    as
    1. Beccali, M. & Bonomolo, M. & Leccese, F. & Lista, D. & Salvadori, G., 2018. "On the impact of safety requirements, energy prices and investment costs in street lighting refurbishment design," Energy, Elsevier, vol. 165(PB), pages 739-759.
    2. Abhijit Paul, 2014. "A comparative assessment of edge-effect with syntax integration generated in axial and unit-segment approaches to modelling vehicular movement networks," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(3), pages 340-354, November.
    3. Murray, Alan T. & Feng, Xin, 2016. "Public street lighting service standard assessment and achievement," Socio-Economic Planning Sciences, Elsevier, vol. 53(C), pages 14-22.
    4. Leccese, Francesco & Salvadori, Giacomo & Rocca, Michele, 2017. "Critical analysis of the energy performance indicators for road lighting systems in historical towns of central Italy," Energy, Elsevier, vol. 138(C), pages 616-628.
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    Cited by:

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    3. Michelangelo Scorpio & Roberta Laffi & Massimiliano Masullo & Giovanni Ciampi & Antonio Rosato & Luigi Maffei & Sergio Sibilio, 2020. "Virtual Reality for Smart Urban Lighting Design: Review, Applications and Opportunities," Energies, MDPI, vol. 13(15), pages 1-26, July.

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