Building Coverage Ratio at the Eastern Corridor of Jalan Ir. H. Djuanda Bandung

Megayanti, Trias; Widaningsih, Lilis; Minggra, Restu; Dewi, Nitih Indra Komala

doi:10.1088/1757-899x/288/1/012144

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…BCR, also known as site coverage, is a zoning concept used to regulate the intensity of urban land use. It is defined as the ratio of the coverage area of the building(s) or other physical structures erected on a single plot to the total plot size when viewed vertically from the sky [42,43]. Similarly, the term ABCR is used in this study to refer to the ratio of the aggregated coverage area of all building(s) erected in a sector to the total sector area.…”

Section: Land Use/land Cover Analysismentioning

confidence: 99%

Morphological Patterns and Drivers of Urban Growth on Africa’s Wetland Landscapes: Insights from the Densu Delta Ramsar Site, Ghana

Oduro,

Anokye,

Nanor

2024

Preprint

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The morphological aspects of urban growth on wetlands in Africa are under-researched. Using the Densu Delta Ramsar site in Accra, Ghana, as a case study, this paper analyses the morphological patterns and drivers of urban growth and its impact on wetlands. Data were obtained through remote-sensing, ground truthing and limited key informant interviews. The analysis combined land use/land cover, building coverage and multiple regression techniques, with the aid of GIS and STATA software. The findings reveal that urban growth at the Ramsar site follows discernible spatial patterns consistent with the spreading pancake, village magnet and ribbon development models. However, the primary force behind these patterns is growing demand for land to meet housing needs, aided by the failure of state institutions to perform their land use control and wetland protection functions. To achieve sustainable urban development, there is an urgent need to ensure effective wetland management by enforcing existing land use, development control and wetland protection measures. This calls for the strengthening, resourcing and closer collaboration between the various state agencies responsible for urban planning and wetland management. There is also the need to engage and sensitise political leaders to increase their commitment to implementing wetland protection and pro-environmental policies.

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Section: Land Use/land Cover Analysismentioning

confidence: 99%

Morphological Patterns and Drivers of Urban Growth on Africa’s Wetland Landscapes: Insights from the Densu Delta Ramsar Site, Ghana

Oduro,

Anokye,

Nanor

2024

Preprint

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“…As the review demonstrates in Table 1, a great deal of effort has been devoted to finding a good way to measure urban density and building coverage in recent decades. In order to shed light on the relationship between the BCR and land-use change, Magayanti et al [12] carried out a field study to collect evidence. However, site surveys are labor-intensive, timeconsuming, and have limited utility.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For instance, in the context of urban management, the maximum (or "legal") BCR and FAR limits are fundamental tools for district-scale zoning regulation that legally control the shape and volume of buildings, supporting more effective urban planning as well as improving city aesthetics [11]. However, BCR violations, such as encroachment construction, have become a major problem for urban management in several areas [12].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Based Urban Building Coverage Ratio Estimation Focusing on Rapid Urbanization Areas

Shin

Kwon

et al. 2022

Applied Sciences

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Urban parameters, such as building density and the building coverage ratio (BCR), play a crucial role in urban analysis and measurement. Although several approaches have been proposed for BCR estimations, a quick and effective tool is still required due to the limitations of statistical-based and manual mapping methods. Since a building footprint is crucial for the BCR calculation, we hypothesize that Deep Learning (DL) models can aid in the BCR computation, due to their proven automatic building footprint extraction capability. Thus, this study applies the DL framework in the ArcGIS software to the BCR calculation task and evaluates its efficiency for a new industrial district in South Korea. Although the accuracy achieved was limited due to poor-quality input data and issues with the training process, the result indicated that the DL-based approach is applicable for BCR measuring, which is a step toward suggesting an implication of this method. Overall, the potential utility of this proposed approach for the BCR measurement promises to be considerable.

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“…Turning to the NBCR used in this calculation method, the researchers used this conclusion as it was closer to the objective of this study. Generally, this NBCR formula is derived from the BCR formula (building coverage ratio) which is used to obtain building coverage density (İsmail Büyüksalih, 2016), E. Bratsolis et al (2016) & T. Megayanti et al (2018). The study has applied the BCR formula according to the suitability of the study variables and produced the NBCR.…”

Section: Index Of Congestion By Construction Areamentioning

confidence: 99%

Index Of Site Congestion for Effective Material Storage At Construction Site

Misron¹,

Khoiry²,

Hamzah³

2019

IJEAT

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A project construction requires efficient management of materials storage. Systematic material storage ensures that the workflow of construction works is according to the schedule. Limited material storage will cause congestion at a construction site. The objective of this study is to generate a congestion index of construction for the material storage based on the congestion features and project site area. The survey questionnaire and site surveys methods were used in this study. The congestion index for the survey questionnaire was tested against 12 site congestion characteristics using Relative Important Index (RII). Site surveys have been carried out on 16 strata-type residential projects by identifying the total site area for calculation of congestion index using formula Non-Building Coverage Ratio (NBCR). The results showed that the congestion with the highest index of 0.8557 was a delay or change in the production schedule of the materials. The results of the site surveys have revealed that there are three sites with high levels of congestion with a range of less than 0.5. In conclusion, knowing the site congestion index can efficiently analyse site management strategies, including the management of material storage. Also, material management can create a more organised site schedule. Keywords—Congestion Construction Site, Congestion Index, Material Storage, Material Management, Storage Strategy

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Building Coverage Ratio at the Eastern Corridor of Jalan Ir. H. Djuanda Bandung

Cited by 6 publications

References 1 publication

Morphological Patterns and Drivers of Urban Growth on Africa’s Wetland Landscapes: Insights from the Densu Delta Ramsar Site, Ghana

Morphological Patterns and Drivers of Urban Growth on Africa’s Wetland Landscapes: Insights from the Densu Delta Ramsar Site, Ghana

Deep Learning Based Urban Building Coverage Ratio Estimation Focusing on Rapid Urbanization Areas

Index Of Site Congestion for Effective Material Storage At Construction Site

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