Technical Papers
May 17, 2024

PACE–BP: Process Analysis and Comparative Evaluation of Building Permit Processes in a Global Perspective

Publication: Journal of Management in Engineering
Volume 40, Issue 5

Abstract

Recent technological advancements are transforming the architecture, engineering and construction (AEC) industry, focusing on digitalization and automation opportunities as drivers for improvement. In a realm as complex as building permitting, the drive for automation should be anchored in a comprehensive understanding of the process it seeks to transform. Furthermore, analyzing the process from a global perspective is essential for identifying opportunities for improvement. This article addresses the need for a systematic and robust approach to evaluate and compare building permit processes globally. Traditional approaches for process comparisons fail to capture the intricacies of a building permit process. Hence, in this paper, the authors propose and introduce the Process Analysis and Comparative Evaluation methodology, PACE-BP, which was tailored for building permit processes. The proposed method relies on a previously developed framework for process mapping which provides a comparable data set of building permit process maps in different countries. The comparative evaluation is then performed by assessing the maps based on predefined indicators, which are used to compile a representative vector for each process. The computational method for compiling the vectors and calculating the similarity measures between pairs of processes is described in detail. The application of PACE-BP for analyzing and comparing building permit processes in Germany, the US, Israel, and Italy is demonstrated in this paper. Our findings challenge the pursuit of a universal “best practice,” emphasizing the need to balance priorities and stakeholder’s objectives. The PACE-BP method is a powerful tool for policymakers and stakeholders, providing meaningful insight into existing processes and pinpointing drawbacks and limitations in current practices, while revealing opportunities for improvement.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

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Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 40Issue 5September 2024

History

Received: Oct 5, 2023
Accepted: Feb 6, 2024
Published online: May 17, 2024
Published in print: Sep 1, 2024
Discussion open until: Oct 17, 2024

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Postdoctoral Researcher, Research Unit Digital Building Process, Faculty of Civil and Environmental Engineering, Technische Universität Wien, Vienna 1040, Austria (corresponding author). ORCID: https://orcid.org/0000-0002-9078-8393. Email: [email protected]
Academic Visitor, Faculty of Civil and Environmental Engineering, Technion Israel Institute of Technology, Haifa 3200003, Israel. ORCID: https://orcid.org/0000-0002-3588-9685
Lucio Soibelman, Ph.D., Dist.M.ASCE https://orcid.org/0000-0002-8701-0521
Professor, Astani Dept. of Civil and Environmental Engineering, USC Viterbi School of Engineering, Univ. of Southern California, Los Angeles 90089. ORCID: https://orcid.org/0000-0002-8701-0521

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