IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i16p9371-d618632.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/16/9371/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/16/9371/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun, Yi, 2018. "Kinetic Monte Carlo simulations of two-dimensional pedestrian flow models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 836-847.
    2. Tamang, Nutthavuth & Sun, Yi, 2023. "Application of the dynamic Monte Carlo method to pedestrian evacuation dynamics," Applied Mathematics and Computation, Elsevier, vol. 445(C).
    3. Sun, Yi, 2019. "Simulations of bi-direction pedestrian flow using kinetic Monte Carlo methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 519-531.
    4. Sun, Yi, 2020. "Kinetic Monte Carlo simulations of bi-direction pedestrian flow with different walk speeds," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    5. Boukarta Soufiane & Berezowska-Azzag Ewa, 2020. "Exploring the Role of Socio-Economic and Built Environment Driving Factors in Shaping the Commuting Modal Share: A Path-Analysis-Based Approach," Quaestiones Geographicae, Sciendo, vol. 39(4), pages 87-107, December.
    6. Yue, Hao & Hao, Herui & Chen, Xiaoming & Shao, Chunfu, 2007. "Simulation of pedestrian flow on square lattice based on cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 567-588.
    7. Hamid Mostofi & Houshmand Masoumi & Hans-Liudger Dienel, 2020. "The Association between the Regular Use of ICT Based Mobility Services and the Bicycle Mode Choice in Tehran and Cairo," IJERPH, MDPI, vol. 17(23), pages 1-19, November.
    8. Jinghong Wang & Siuming Lo & Qingsong Wang & Jinhua Sun & Honglin Mu, 2013. "Risk of Large‐Scale Evacuation Based on the Effectiveness of Rescue Strategies Under Different Crowd Densities," Risk Analysis, John Wiley & Sons, vol. 33(8), pages 1553-1563, August.
    9. Tanimoto, Jun & Hagishima, Aya & Tanaka, Yasukaka, 2010. "Study of bottleneck effect at an emergency evacuation exit using cellular automata model, mean field approximation analysis, and game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5611-5618.
    10. Wang, Jinhuan & Zhang, Lei & Shi, Qiongyu & Yang, Peng & Hu, Xiaoming, 2015. "Modeling and simulating for congestion pedestrian evacuation with panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 396-409.
    11. Fu, Libi & Liu, Yuxing & Shi, Yongqian & Zhao, Yongxiang, 2021. "Dynamics of bidirectional pedestrian flow in a corridor including individuals with disabilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    12. Saberi, Meead & Aghabayk, Kayvan & Sobhani, Amir, 2015. "Spatial fluctuations of pedestrian velocities in bidirectional streams: Exploring the effects of self-organization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 120-128.
    13. Cui, Xiaoting & Ji, Jingwei & Bai, Xuehe & Cao, Yin & Wu, Tong, 2022. "Research and realization of parallel algorithms for large scale crowd evacuation in emergency," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 193(C), pages 713-724.
    14. Hu, Xiangmin & Chen, Tao & Deng, Kaifeng & Wang, Guanning, 2023. "Effects of aggressiveness on pedestrian room evacuation using extended cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    15. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani, 2016. "A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 159-176.
    16. Zheng, Xiaoping & Li, Wei & Guan, Chao, 2010. "Simulation of evacuation processes in a square with a partition wall using a cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(11), pages 2177-2188.
    17. Jae Min Lee, 2020. "Exploring Walking Behavior in the Streets of New York City Using Hourly Pedestrian Count Data," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
    18. Li, Xingli & Guo, Fang & Kuang, Hua & Zhou, Huaguo, 2017. "Effect of psychological tension on pedestrian counter flow via an extended cost potential field cellular automaton model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 47-57.
    19. Mohd Ibrahim, Azhar & Venkat, Ibrahim & Wilde, Philippe De, 2017. "Uncertainty in a spatial evacuation model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 485-497.
    20. Boukarta Soufiane & Berezowska-Azzag Ewa, 2022. "The Influence of Built Environment and Socio-Economic Factors on Commuting Energy Demand: A Path Analysis-Based Approach," Quaestiones Geographicae, Sciendo, vol. 41(4), pages 19-39, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9371-:d:618632. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.