IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p592-d1316161.html
   My bibliography  Save this article

Computational Approach towards Repetitive Design Tasks: The Case Study of Parking Lot Automated Design

Author

Listed:
  • Jan Cudzik

    (Department of Urban Architecture and Waterscapes, Faculty of Architecture, Gdańsk University of Technology, 11/12 Narutowicza Street, 80-233 Gdansk, Poland)

  • Michał Nessel

    (Department of Descriptive Geometry and Digital Technologies, Faculty of Architecture, Cracow University of Technology, 24 Warszawska Street, 31-155 Krakow, Poland)

Abstract

The study aims to develop and assess an algorithm for efficiently generating parking spot layouts within predefined area outlines. The algorithm is an attempt to streamline the decision-making process by producing different design variants and optimizing the utilization of available space. The algorithm’s primary objective is to streamline decision-making by generating diverse design variants while optimizing the use of available space, with a distinct focus on mitigating environmental impact and fostering ecological well-being. Researchers conduct thorough tests on the algorithm across various outlines, resulting in multiple layout options for each scenario. They analyzed five representative parking locations and compare the algorithm’s results with the existing parking spot layouts. Throughout the evaluation process, they consider quantitative and qualitative data, considering the complexities of communication solutions within each context. The study findings indicate that the algorithm demonstrates comparable or superior performance to existing solutions. Overall, the study highlights the promising potential of algorithmic design approaches in the context of parking lot automated design. Achieving a balance between innovative designs and user-friendly layouts is crucial, and this is achievable by conducting comprehensive analyses that consider various factors. The consistent findings underscore the algorithm’s potential to significantly contribute to sustainable design practices in parking lot layouts, highlighting decreased environmental strain, efficient land use, and creating urban spaces that prioritize ecological benefits. Furthermore, seamlessly integrating algorithmic solutions with existing communication systems is paramount to ensure practical applicability in real-world scenarios. This integration will enable more effective and practical implementation of the algorithm’s outputs in actual parking lot design projects.

Suggested Citation

  • Jan Cudzik & Michał Nessel, 2024. "Computational Approach towards Repetitive Design Tasks: The Case Study of Parking Lot Automated Design," Sustainability, MDPI, vol. 16(2), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:592-:d:1316161
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/592/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/2/592/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jingwei Xue & Jiaqing Wang & Jiyang Yi & Yang Wei & Kaijian Huang & Daming Ge & Ruiyu Sun, 2023. "Optimal Parking Path Planning and Parking Space Selection Based on the Entropy Power Method and Bayesian Network: A Case Study in an Indoor Parking Lot," Sustainability, MDPI, vol. 15(11), pages 1-25, May.
    2. Qidi Dong & Heng Lu & Xiaohong Luo & Pengman He & Di Li & Linjia Wu & Yundi Wei & Xuli Chen, 2023. "Evaluation and Optimization of Green Space Fairness in Urban Built-Up Areas Based on an Improved Supply and Demand Model: A Case Study of Chengdu, China," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    Full references (including those not matched with items on IDEAS)

    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. Kelei Li & Wenpeng Du & Zhiqi Yang & Huimin Yan & Yutong Mu, 2024. "Spatio-Temporal Pattern of Urban Green Space in Chengdu Urban Center under Rapid Urbanization: From the Policy-Oriented Perspective," Land, MDPI, vol. 13(4), pages 1-17, March.
    2. Lide Yang & Jiemin Xie & Tuo Sun & Junxian Wu & Jinquan Hou & Shuangjian Yang, 2023. "Application of Autonomous Transportation Systems: Detection of a Potential Sub-Leasing Type of Carsharing," Sustainability, MDPI, vol. 15(19), pages 1-20, September.

    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:16:y:2024:i:2:p:592-:d:1316161. 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.