Proceedings of the 1st International Conference on Climate Change and Emerging Trends in Civil Engineering (CCETC 2024)

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Maximizing Profit Potential: Assessing Commercial Viability of Lease Spaces through Dynamo and BIM Framework

Authors
Sohaib Raza1, Muhammad Umair2, *, Shahab Naveed3, Abdur Rehman Nasir4
1Department of Construction Engineering and Management, National University of Sciences and Technology (NUST), Islamabad, Pakistan
2Department of Construction Engineering and Management, National University of Sciences and Technology (NUST), Islamabad, Pakistan
3Department of Construction Engineering and Management, National University of Sciences and Technology (NUST), Islamabad, Pakistan
4University of Hertfordshire, Hertfordshire, United Kingdom
*Corresponding author. Email: mumair.ms22nice@student.nust.edu.pk
Corresponding Author
Muhammad Umair
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-591-1_18How to use a DOI?
Keywords
Building Information Modelling; Leasing; Automation
Abstract

In recent times, vertical construction in Pakistan is increasing rapidly, and the assessment of the commercial viability of buildings and malls has become vital for developers. This allows them to mold their projects in a fashion that maximizes profit potential. For this purpose, a framework using the visual programming language Dynamo and Building Information Modelling (BIM) has been developed. The Dynamo code enables real estate developers and private business owners to assess and gauge the commercial viability of lease spaces within a building, such as evaluating a shop space based on given parameters. In a computational example, an outlet located in a commercial building is ranked according to various factors identified through a market survey conducted among professionals in Pakistan’s retail and hospitality industries. For the scope of this project, various factors have been identified as contributing most to the enhancement of a property’s commercial viability and ease of leasing. This pioneering tool is the first of its kind and, due to its unique nature, will provide retail industry owners with insights into the project’s valuation, its investment viability, and necessary design adjustments required for optimal success.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st International Conference on Climate Change and Emerging Trends in Civil Engineering (CCETC 2024)
Series
Advances in Engineering Research
Publication Date
1 December 2024
ISBN
978-94-6463-591-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-591-1_18How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sohaib Raza
AU  - Muhammad Umair
AU  - Shahab Naveed
AU  - Abdur Rehman Nasir
PY  - 2024
DA  - 2024/12/01
TI  - Maximizing Profit Potential: Assessing Commercial Viability of Lease Spaces through Dynamo and BIM Framework
BT  - Proceedings of the 1st International Conference on Climate Change and Emerging Trends in Civil Engineering (CCETC 2024)
PB  - Atlantis Press
SP  - 197
EP  - 206
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-591-1_18
DO  - 10.2991/978-94-6463-591-1_18
ID  - Raza2024
ER  -