Improving Infrastructure Installation Planning Processes using Procedural Modeling

Time and costs are often the most critical constraints in implementing a development impact fee (DIF) for local infrastructure installation planning in South Korea. For this reason, drafting quality plan alternatives and calculating precise DIFs for improvement remain challenging. This study propose...

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Main Authors: Nae-Young Choei, Hyungkyoo Kim, Seonghun Kim
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/9/2/48
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spelling doaj-c5fa4c5faf594cb68984a5425c9d5d432020-11-25T01:30:41ZengMDPI AGLand2073-445X2020-02-01924810.3390/land9020048land9020048Improving Infrastructure Installation Planning Processes using Procedural ModelingNae-Young Choei0Hyungkyoo Kim1Seonghun Kim2Department of Urban Design and Planning, Hongik University, Seoul 04066, KoreaDepartment of Urban Design and Planning, Hongik University, Seoul 04066, KoreaResearch Institute of Science and Technology, Hongik University, Seoul 04066, KoreaTime and costs are often the most critical constraints in implementing a development impact fee (DIF) for local infrastructure installation planning in South Korea. For this reason, drafting quality plan alternatives and calculating precise DIFs for improvement remain challenging. This study proposes an application of a procedural modeling method using CityEngine as an alternative to traditional methods, which rely on AutoCAD. A virtual low-density suburban development project in Jeju, South Korea was used to compare the workability of the two methods. The findings suggest that procedural modeling outperforms the other approach by significantly reducing the number of steps and commands required in the planning process. This paper also argues that procedural modeling provides real-time 2- and 3-dimensional modeling and design evaluation and allows for a more efficient assessment of plan quality and calculation of DIF. We also argue for the need to diffuse procedural modeling to better support local planning practices.https://www.mdpi.com/2073-445X/9/2/48infrastructure installation planningprocedural modelingdevelopment impact feesjeju
collection DOAJ
language English
format Article
sources DOAJ
author Nae-Young Choei
Hyungkyoo Kim
Seonghun Kim
spellingShingle Nae-Young Choei
Hyungkyoo Kim
Seonghun Kim
Improving Infrastructure Installation Planning Processes using Procedural Modeling
Land
infrastructure installation planning
procedural modeling
development impact fees
jeju
author_facet Nae-Young Choei
Hyungkyoo Kim
Seonghun Kim
author_sort Nae-Young Choei
title Improving Infrastructure Installation Planning Processes using Procedural Modeling
title_short Improving Infrastructure Installation Planning Processes using Procedural Modeling
title_full Improving Infrastructure Installation Planning Processes using Procedural Modeling
title_fullStr Improving Infrastructure Installation Planning Processes using Procedural Modeling
title_full_unstemmed Improving Infrastructure Installation Planning Processes using Procedural Modeling
title_sort improving infrastructure installation planning processes using procedural modeling
publisher MDPI AG
series Land
issn 2073-445X
publishDate 2020-02-01
description Time and costs are often the most critical constraints in implementing a development impact fee (DIF) for local infrastructure installation planning in South Korea. For this reason, drafting quality plan alternatives and calculating precise DIFs for improvement remain challenging. This study proposes an application of a procedural modeling method using CityEngine as an alternative to traditional methods, which rely on AutoCAD. A virtual low-density suburban development project in Jeju, South Korea was used to compare the workability of the two methods. The findings suggest that procedural modeling outperforms the other approach by significantly reducing the number of steps and commands required in the planning process. This paper also argues that procedural modeling provides real-time 2- and 3-dimensional modeling and design evaluation and allows for a more efficient assessment of plan quality and calculation of DIF. We also argue for the need to diffuse procedural modeling to better support local planning practices.
topic infrastructure installation planning
procedural modeling
development impact fees
jeju
url https://www.mdpi.com/2073-445X/9/2/48
work_keys_str_mv AT naeyoungchoei improvinginfrastructureinstallationplanningprocessesusingproceduralmodeling
AT hyungkyookim improvinginfrastructureinstallationplanningprocessesusingproceduralmodeling
AT seonghunkim improvinginfrastructureinstallationplanningprocessesusingproceduralmodeling
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