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Towards Sustainability: New Tools for Planning Urban Pedestrian Mobility

Author

Listed:
  • Daniela Santilli

    (Department of Civil and Mechanical Engineering DICEM, University of Cassino and Southern Lazio, 03043 Cassino, Italy)

  • Mauro D’Apuzzo

    (Department of Civil and Mechanical Engineering DICEM, University of Cassino and Southern Lazio, 03043 Cassino, Italy)

  • Azzurra Evangelisti

    (Department of Civil and Mechanical Engineering DICEM, University of Cassino and Southern Lazio, 03043 Cassino, Italy)

  • Vittorio Nicolosi

    (Department of Enterprise Engineering “Mario Lucertini”, University of Rome “Tor Vergata”, 00133 Rome, Italy)

Abstract

Background: Since the beginning of the new millennium, sensitivity towards the environment has been spreading globally. In fact, countries are adopting measures to develop new decision support tools that can evaluate the impact of interventions to promote and encourage sustainable mobility. To reduce the levels of pollution related to road traffic, policies that favor multimodal transport alternatives have been strengthened. This involves the combined use of public transport, cycling and walking paths, as well as sharing services where available. Regardless of the type of transport, the pedestrian component remains relevant in cities, even if the infrastructures are often not adequate to accommodate it and conflicts arise that must be managed. It is, therefore, necessary to assess the exposure to risk in terms of road safety. Methods: To this end, the work proposes a forecasting model to estimate the pedestrian flows that load the network. The methodology employs a hybrid approach that appears to better capture the movements of pedestrians. Results: By comparing the results of the model with the real data collected on the study area, satisfactory estimates were obtained. Conclusions: Therefore, this can be an effective tool to help road managers to evaluate the actions to protect vulnerable users.

Suggested Citation

  • Daniela Santilli & Mauro D’Apuzzo & Azzurra Evangelisti & Vittorio Nicolosi, 2021. "Towards Sustainability: New Tools for Planning Urban Pedestrian Mobility," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9371-:d:618632
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    References listed on IDEAS

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    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Schadschneider, Andreas, 2002. "Traffic flow: a statistical physics point of view," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 313(1), pages 153-187.
    3. Volchenkov, D. & Blanchard, Ph., 2008. "Scaling and universality in city space syntax: Between Zipf and Matthew," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(10), pages 2353-2364.
    4. Hughes, Roger L., 2002. "A continuum theory for the flow of pedestrians," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 507-535, July.
    5. Cervero, Robert & Radisch, Carolyn, 1995. "Travel Choices in Pedestrian Versus Automobile Oriented Neighborhoods," University of California Transportation Center, Working Papers qt7cn9m1qz, University of California Transportation Center.
    6. Tiziana Campisi & Socrates Basbas & Giovanni Tesoriere & Mirto Trouva & Thomas Papas & Iva Mrak, 2020. "How to Create Walking Friendly Cities. A Multi-Criteria Analysis of the Central Open Market Area of Rijeka," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    7. Raford, Noah & Ragland, David R., 2005. "Pedestrian Volume Modeling for Traffic Safety and Exposure Analysis:," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9cn8d3nq, Institute of Transportation Studies, UC Berkeley.
    8. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
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    Cited by:

    1. Cheng Peng & Chenxiao Ma & Yunhao Dong, 2023. "Unravelling the Formation Mechanism of Sustainable Underground Pedestrian Systems: Two Case Studies in Shanghai," Sustainability, MDPI, vol. 15(15), pages 1-23, August.

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