Next Article in Journal
Racial Disparities in Associations between Neighborhood Demographic Polarization and Birth Weight
Next Article in Special Issue
Location Choice in the Context of Older Adults’ Leisure-Time Walking
Previous Article in Journal
Insulation and Evaporative Resistance of Clothing for Sugarcane Harvesters and Chemical Sprayers, and Their Application in PHS Model-Based Exposure Predictions
Previous Article in Special Issue
The Role of Urban Morphology Design on Enhancing Physical Activity and Public Health
Article

Multi-Agent-Based Urban Vegetation Design

1
School of Architecture and Building Science, Chung Ang University, Seoul 06974, Korea
2
Haenglim Architecture and Engineering Company, 201, Songpa-daero, Songpa-gu, Seoul 05854, Korea
3
College of Agricultural Engineering, University of Duhok, Duhok 42001, Kurdistan, Iraq
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(9), 3075; https://doi.org/10.3390/ijerph17093075
Received: 25 March 2020 / Revised: 23 April 2020 / Accepted: 23 April 2020 / Published: 28 April 2020
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. View Full-Text
Keywords: multi-agent system; visual algorithm; urban vegetation design; automatic modeling; computational design multi-agent system; visual algorithm; urban vegetation design; automatic modeling; computational design
Show Figures

Figure 1

MDPI and ACS Style

Ali, A.K.; Song, H.; Lee, O.J.; Kim, E.S.; Mohammed Ali, H.H. Multi-Agent-Based Urban Vegetation Design. Int. J. Environ. Res. Public Health 2020, 17, 3075. https://doi.org/10.3390/ijerph17093075

AMA Style

Ali AK, Song H, Lee OJ, Kim ES, Mohammed Ali HH. Multi-Agent-Based Urban Vegetation Design. International Journal of Environmental Research and Public Health. 2020; 17(9):3075. https://doi.org/10.3390/ijerph17093075

Chicago/Turabian Style

Ali, Ahmed K., Hayub Song, One J. Lee, Eun S. Kim, and Haneen H. Mohammed Ali 2020. "Multi-Agent-Based Urban Vegetation Design" International Journal of Environmental Research and Public Health 17, no. 9: 3075. https://doi.org/10.3390/ijerph17093075

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop