Unpacking Ambiguity in Building Requirements to Support Automated Compliance CheckingSource: Journal of Management in Engineering:;2023:;Volume ( 039 ):;issue: 005::page 04023033-1DOI: 10.1061/JMENEA.MEENG-5359Publisher: ASCE
Abstract: In the architecture, engineering, and construction (AEC) industry, manual compliance checking is labor-intensive, time-consuming, expensive, and error-prone. Automated compliance checking (ACC) has been extensively studied in the past 50 years to improve the productivity and accuracy of the compliance checking process. While numerous ACC systems have been proposed, these systems can only deal with requirements that include quantitative metrics or specified properties. This leaves the remaining 53% of building requirements to be checked manually, mainly due to the ambiguity embedded in them. In the literature, little is known about the ambiguity of building requirements, which impedes their accurate interpretation and automated checking. This research thus aims to address this issue and establish a taxonomy of ambiguity. Building requirements in health building notes (HBNs) are analyzed using an inductive approach. The results show that some ambiguous clauses in building requirements reflect regulators’ intention while others are unintentional, resulting from the use of language, tacit knowledge, and ACC-specific reasons. This research is valuable for compliance-checking researchers and practitioners because it unpacks ambiguity in building requirements, laying a solid foundation for addressing ambiguity appropriately.
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contributor author | Zijing Zhang | |
contributor author | Ling Ma | |
contributor author | Nicholas Nisbet | |
date accessioned | 2023-11-27T23:56:32Z | |
date available | 2023-11-27T23:56:32Z | |
date issued | 7/4/2023 12:00:00 AM | |
date issued | 2023-07-04 | |
identifier other | JMENEA.MEENG-5359.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4293971 | |
description abstract | In the architecture, engineering, and construction (AEC) industry, manual compliance checking is labor-intensive, time-consuming, expensive, and error-prone. Automated compliance checking (ACC) has been extensively studied in the past 50 years to improve the productivity and accuracy of the compliance checking process. While numerous ACC systems have been proposed, these systems can only deal with requirements that include quantitative metrics or specified properties. This leaves the remaining 53% of building requirements to be checked manually, mainly due to the ambiguity embedded in them. In the literature, little is known about the ambiguity of building requirements, which impedes their accurate interpretation and automated checking. This research thus aims to address this issue and establish a taxonomy of ambiguity. Building requirements in health building notes (HBNs) are analyzed using an inductive approach. The results show that some ambiguous clauses in building requirements reflect regulators’ intention while others are unintentional, resulting from the use of language, tacit knowledge, and ACC-specific reasons. This research is valuable for compliance-checking researchers and practitioners because it unpacks ambiguity in building requirements, laying a solid foundation for addressing ambiguity appropriately. | |
publisher | ASCE | |
title | Unpacking Ambiguity in Building Requirements to Support Automated Compliance Checking | |
type | Journal Article | |
journal volume | 39 | |
journal issue | 5 | |
journal title | Journal of Management in Engineering | |
identifier doi | 10.1061/JMENEA.MEENG-5359 | |
journal fristpage | 04023033-1 | |
journal lastpage | 04023033-11 | |
page | 11 | |
tree | Journal of Management in Engineering:;2023:;Volume ( 039 ):;issue: 005 | |
contenttype | Fulltext |