ORCID
- Olugbenga Oladinrin: 0000-0003-3555-2430
Abstract
This paper introduces a proposed Hybrid Project Management Methodology Framework, tailored for Project Managers engaged in overseeing large-scale road transport projects in the United Kingdom. Through a mixedmethod approach comprising of a comprehensive literature review, a structured quantitative questionnaire administered to industry professionals, and a case study examining the application of Lean and Agile methodologies in a complex megaproject, this study identifies the prevailing project management methodologies in use within the UK Mega Transport Projects (MTP) domain. The surveyed professionals, primarily experienced project managers in construction, provided insights into the challenges encountered in MTP, helping to rank the most common methodologies and best practices. The findings underscore the prominence of hybrid methodologies, particularly Lean and Agile, in MTP delivery, alongside the importance of adopting additional methodologies tailored to project characteristics. Moreover, successful project outcomes hinge not only on methodology selection but also on the application of industry best practices, including collaborative partnerships, key performance indicators (KPIs), and others. This research contributes a focused examination of the impact of project management methodologies and best practices on MTP in the UK, offering insights into addressing associated challenges.
Publication Date
2024-03-29
Publication Title
Journal of Architectural Engineering Technology
Volume
13
Issue
2
ISSN
2168-9717
Keywords
Mega Transport Projects, Large Transport Projects, Project Management Methodologies, Construction Project Management Methodologies, LeAgile and PRINCE2 in Construction
Recommended Citation
Leyba, A., Rana, M., Salazar, A., Saini, M., Oladinrin, O., & Lee, A. (2024) 'Deploying the Hybrid Project Management Methodology Framework in Major Transportation Projects in the United Kingdom', Journal of Architectural Engineering Technology, 13(2). Retrieved from https://pearl.plymouth.ac.uk/ada-research/357