Analyzing Causes of Delays in Highway Construction Projects: A Case Study of Pakistan

Construction project delays are a prevalent issue worldwide, typically occurring when a project takes longer than the expected timeframe to complete. In Pakistan, road construction delays have a significant effect because a major portion of the annual budget is allocated to transportation projects. This study identified additional variables contributing to delays from the existing literature on highway project delays in Pakistan. The variables are related to implementation, labor, equipment, political influence, project management, finance, and environment. To explore the effects of these factors on project delays, a questionnaire-based survey was conducted, and responses were received from 152 participants. Statistical analysis, along with weighted mean and fuzzy logic approaches, was used to identify the influential contributors to project delays. Both methods produced the same ranking, indicating that finance is the most significant factor causing delays, followed by politics and implementation. Based on these findings, strategic recommendations were developed to offer guidance to policymakers on key challenges in the highway construction sector and support informed decision-making.

Authors

Institutions

Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2025-10-19
DOI
https://doi.org/10.1177/03611981251368319
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing Causes of Delays in Highway Construction Projects: A Case Study of Pakistan

Muhammad Umar, Mehtab Alam, Muhammad Abdullah, M. Khoirul Anam et al.
Transportation Research Record Journal of the Transportation Research Board
Construction Project Management and Performance
article

Analyzing Causes of Delays in Highway Construction Projects: A Case Study of Pakistan

Muhammad Umar, Mehtab Alam, Muhammad Abdullah, M. Khoirul Anam, Amer Yaqub
article en

Abstract

Construction project delays are a prevalent issue worldwide, typically occurring when a project takes longer than the expected timeframe to complete. In Pakistan, road construction delays have a significant effect because a major portion of the annual budget is allocated to transportation projects. This study identified additional variables contributing to delays from the existing literature on highway project delays in Pakistan. The variables are related to implementation, labor, equipment, political influence, project management, finance, and environment. To explore the effects of these factors on project delays, a questionnaire-based survey was conducted, and responses were received from 152 participants. Statistical analysis, along with weighted mean and fuzzy logic approaches, was used to identify the influential contributors to project delays. Both methods produced the same ranking, indicating that finance is the most significant factor causing delays, followed by politics and implementation. Based on these findings, strategic recommendations were developed to offer guidance to policymakers on key challenges in the highway construction sector and support informed decision-making.

Transportation Research Record Journal of the Transportation Research BoardVol. 2680(2)
King Fahd University of Petroleum and Minerals (SA), National University of Computer and Emerging Sciences (PK), Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (PK), RMIT University (AU)
Openalex Percentile: Top 65%
Construction Project Management and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.