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Multi-Agent-Based Urban Vegetation Design

Author

Listed:
  • Ahmed Khairadeen Ali

    (School of Architecture and Building Science, Chung Ang University, Seoul 06974, Korea)

  • Hayub Song

    (School of Architecture and Building Science, Chung Ang University, Seoul 06974, Korea)

  • One Jae Lee

    (Haenglim Architecture and Engineering Company, 201, Songpa-daero, Songpa-gu, Seoul 05854, Korea)

  • Eun Seok Kim

    (School of Architecture and Building Science, Chung Ang University, Seoul 06974, Korea)

  • Haneen Hashim Mohammed Ali

    (College of Agricultural Engineering, University of Duhok, Duhok 42001, Kurdistan, Iraq)

Abstract

Urban vegetation is an essential element of the urban city pedestrian walkway. Despite city forest regulations and urban planning best practices, vegetation planning lacks clear comprehension and compatibility with other urban elements surrounding it. Urban planners and academic researchers currently devote vital attention to include most of the urban elements and their impact on the occupants and the environment in the planning stage of urban development. With the advancement in computational design, they have developed various algorithms to generate design alternatives and measure their impact on the environment that meets occupants’ needs and perceptions of their city. In particular, multi-agent-based simulations show great promise in developing rule compliance with urban vegetation design tools. This paper proposed an automatic urban vegetation city rule compliance approach for pedestrian pathway vegetation, leveraging multi-agent system and algorithmic modeling tools. This approach comprises three modules: rule compliance (T-Rule), street vegetation design tool (T-Design), and multi-agent alternative generation (T-Agent). Notably, the scope of the paper is limited to trees, shrubbery, and seating area configurations in the urban pathway context. To validate the developed design tool, a case study was tested, and the vegetation design tool generated the expected results successfully. A questionnaire was conducted to give feedback on the use of the developed tool for enhancing positive experience of the developed tool. It is anticipated that the proposed tool has the potential to aid urban planners in decision-making and develop more practical vegetation planting plans compared with the conventional Two-Dimensional (2D) plans, and give the city occupants the chance to take part in shaping their city by merely selecting from predefined parameters in a user interface to generate their neighborhood pathway vegetation plans. Moreover, this approach can be extended to be embedded in an interactive map where city occupants can shape their neighborhood greenery and give feedback to urban planners for decision-making.

Suggested Citation

  • Ahmed Khairadeen Ali & Hayub Song & One Jae Lee & Eun Seok Kim & Haneen Hashim Mohammed Ali, 2020. "Multi-Agent-Based Urban Vegetation Design," IJERPH, MDPI, vol. 17(9), pages 1-21, April.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:9:p:3075-:d:351639
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    References listed on IDEAS

    as
    1. Niskanen, A. & Saastamoinen, O., 1996. "Tree Planations in the Philippines and Thailand. Economic, Social and Environmental Evaluation," Research Paper 30, World Institute for Development Economics Research.
    2. Jaecheol Kim & Seungnam Kim, 2019. "Finding the Optimal D/H Ratio for an Enclosed Urban Square: Testing an Urban Design Principle Using Immersive Virtual Reality Simulation Techniques," IJERPH, MDPI, vol. 16(5), pages 1-19, March.
    3. Yonariza & Sharon B. Singzon, 2012. "Post-logging Ban Timber Tree Planting in Thailand and the Philippines," Agriculture and Development Discussion Paper Series 2012-1, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA).
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    Cited by:

    1. Minou Weijs-Perrée & Gamze Dane & Pauline van den Berg, 2021. "Editorial for the Special Issue on “Experiencing the City: The Relation between Urban Design and People’s Well-Being”," IJERPH, MDPI, vol. 18(5), pages 1-6, March.

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