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The purpose of this paper is to provide insights into the environment, resources and surroundings factors to develop a system dynamic model of dynamic project scheduling that aids on-time project delivery by reducing the project delay for the road construction industry in New Zealand (NZ).

This study adopted narrative inquiry methodology that involved semi-structured interviews (SSI)/expert opinion and systematic literature review (SLR) data to determine the environment, resources and surroundings factors to develop a system dynamic model of dynamic project scheduling that aids on-time project delivery by reducing the project delay for the road construction industry in NZ. The data were analysed by using descriptive analysis, Likert scale and thematic analysis techniques to understand the relationship of these factors to propose a system dynamic model.

This study concludes that weather, pandemic, material, geotechnical and disaster factors highly influence while other factors such as equipment shortage, breakdown, design error, labour and event had mixed impact on the dynamic scheduling (DS) that aids on-time project delivery. The proposed system dynamic model can enhance the understanding of factors affecting DS.

SLR is limited to English literature. The limitations of an SSI and a small sample size are acknowledged.

The proposed model can reduce the uncertainty and scheduling errors during the planning phase and aid in the lesser scheduling modification during the execution phase. In practice, this study will be helpful for road contractors to understand environment, surroundings and resource in-control and out-of-control factors, overcome road construction delays, reduce cost, aid in stakeholder management and sustainable development.

The inclusion of environment, resource and surroundings factors in force majeure clauses will bring an understanding between contracting parties and in turn reduce disputes and delays and help social causes such as on-time infrastructure delivery.

For the first time in a road construction, dynamic project scheduling model that collectively included and linked environment, resource, and surroundings factors to determine the in-control and out-of-control factors for an organisation is proposed. The novelty in the paper is provided by the inclusion of the events, disasters, and pandemics influence on DS in the NZ road construction industry for the first time.

Under the background that engineering, procurement and construction (EPC) contracting model is introduced to adapt to the highly fragmented characteristics of prefabricated construction, the schedule management of general contractor is faced with the challenge of dynamic transmission and interaction of construction scheduling-related risk. The purpose of this paper is to develop the hierarchy of prefabricated construction scheduling-related risks from the perspective of the general contractor, and to analyze the transmission mechanism between risks. The paper also aims to further distinguish the difference of the impact degree of scheduling-related risks, and provide reference for formulating the strategy to alleviate the construction delay.

Based on a review of the literature on prefabricated buildings, this paper identifies 22 scheduling-related risks in construction from the perspective of the general contractor. Semi-structured interviews were then conducted to obtain experts' views on the interrelationships among these risks. Following this, their overall structure was determined by using a hierarchical structure established by using interpretive structural modeling (ISM), and Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) technique was applied to classify them into four groups according to their driving and dependence powers.

The results indicate that the 22 scheduling-related risks in construction followed the inherent path of step-by-step transmission, and all of them could cause different degrees of delays in prefabricated construction. Among them, general experience in contracting projects, the use of emerging technologies and the completeness of the relevant standards and specifications were strong drivers of scheduling delays in construction, and should be prioritized by the general contractor in schedule management. The transitive link between scheduling risks can guide them in developing prevention strategies.

Data quality and reliability risks are the major drawbacks of semi-structured interviews. These were minimized by engaging experts with rich theoretical and hands-on experience in prefabricated construction projects. The hierarchical model only reflects static influence relationships, and so dynamic interactions among scheduling-related risks should be studied in future.

The primary value of this study is in its development of a hierarchical model by using the integrated ISM–MICMAC approach that reflects the interaction between scheduling risks in the construction of prefabricated buildings. The hierarchy of these risks and the results of a “driving-dependence power” analysis can guide the general contractor in taking targeted preventive measures to avoid scheduling delays in the construction of prefabricated buildings.

This paper aims to model different causal relations among factors interacting with labour productivity in order to recognize the most important factors influencing and influenced by it.

Top 60 factors affecting labour productivity were determined and grouped into 5 major groups by reviewing previous research and interviewing relevant experts. The interactions of factors were modelled using system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were then applied for identifying the most crucial factors influencing and influenced by labour productivity through the decision-making trial and evaluation laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian construction industry.

The results indicated that factors such as fatigue, lack of labour motivation and lack of skill are the most influencing, and factors such as schedule delay and inflation in the cost of execution are the most influenced by labour productivity. In the end, a set of recommendations to improve construction labour productivity was also presented.

The main contribution of the study is proposing a novel method which is capable of providing insights into how causes and effects of construction labour productivity are interrelated. Furthermore, the proposed method makes this study distinct from previous research in the light of prioritizing factors and offering recommendations according to the interrelationships among factors.

Purpose – Departure time choice not only depends on the desire to carry out activities at certain times and places; it is a complex decision making process influenced by travel conditions, congestion levels, activity schedules, and external trip factors. To estimate departure time choice models capturing the factors influencing it in appropriate form, a complex data collection procedure allowing to obtain detailed input data from different sources and at different time periods is required.

The main aim of this chapter is to describe and discuss the survey methodology we used in a time-of-day choice project, involving the collection of revealed preference (RP) and stated preference (SP) data to estimate hybrid discrete departure time choice models incorporating latent variables. Preliminary model results are also presented as an example.

Methodology/approach – Data was obtained from 405 workers at different private and public institutions located in the centre of Santiago, Chile. The survey process had three different stages and used various collection methods (e-mail, web-page, and personal interviews at the workplace) in order to satisfy efficiency, reliability and cost criteria.

The RP component survey design was based on the last origin-destination survey implemented in Santiago (i.e. a travel diary filled under an activity recall framework). Relevant level-of-service measures at different time periods were obtained from GPS data measured from instrumented vehicles in the public and private transport networks. A SP-off-RP optimal design considering dependence among attribute levels was also developed. Finally, several 1–7 Likert scale questions were included to incorporate the latent variables.

Findings – The survey methodology described in this chapter represents a successful experience in terms of collecting high quality data, from different sources, with the aim of estimating appropriate time-of-day choice models. The data collection process was carried out in different stages, by means of web pages, email, and personal interviews. The data was further enriched with level-of-service attributes measured at different times of the day with unusual precision. Preliminary results reported in this chapter show that data obtained through this methodology are appropriate to model time-of-day choices.

Originality/value of chapter – The novelty of the survey methodology described in this chapter is the collection of data of a different nature for time-of-day choice modelling through the integration of different collection techniques.

Acquisition of very precise information about preferred departure/arrival times, level of service at different times of the day, detailed information about flexibility in schedules, employment information and attitudes towards departure times, should allow practitioners to estimate hybrid time-of-day choice models incorporating latent variables.

The purpose of this paper is to propose a multi-variable analysis (MVA) model for predicting potential delays in the delivery of subsea inspection, maintenance and repair (IMR) services.

Based on data from 351 subsea IMR service jobs executed between 2006 and 2008, a MVA model is proposed for predicting the potential delays in the delivery of IMR services in different plausible scenarios.

A model for predicting the delays in IMR service delivery, based on four practical variables that are readily available during the planning phase, was developed and tested. The factors contributing to delays in petroleum subsea IMR services based on importance are: water depth, weather, job complexity, job uncertainty as well as job complexity mix.

The MVA model is developed based on analyzing subsea IMR service jobs performed in the petroleum industry from 2006-2008. The model can be used in the planning stage to predict potential delays in service delivery based on practical variables available.

The research proposes a MVA model for predicting delays in service delivery. The model is useful for predicting potential delays in service delivery and for improving the plan based on model analysis results.

Poor project knowledge and inadequate experience are frequently linked to construction time-cost overruns. This paper aims to expound on the criticality of project knowledge and experience in the successful delivery of projects in the construction industry.

Following a detailed literature review, a quantitative positivist approach with a questionnaire survey involving industry professionals is used to appraise the 30 prevalent causes of time-cost overruns according to frequency, effectiveness and importance indices. The data are then subjected to Spearman’s rank correlation tests and exploratory factor analysis.

Using the importance index, which assimilates both frequency and effectiveness indices, the criticality of knowledge and experience in the overall context is seen as fundamental for addressing the contractor’s faulty planning and scheduling, construction mistakes and defective work, site management and supervision, delayed/slow decision-making, incomplete drawings and design documents and change/variation orders. Spearman’s rank correlation tests indicate a good consensus of perceptions among the key parties involved. Next, an exploratory factor analysis uncovers six underlying knowledge-based factors affecting construction performance, relating to inaccurate resource estimates, design changes, resource shortages, lack of experience, incompetence and mistakes and defects.

The study draws out the repercussions of the hitherto limited research into the deficiencies in knowledge and experience in undertaking construction projects to enhance performance using knowledge management functions.

Delays in construction projects can be very expensive due to their adverse effects on project cost and profit margin. To overcome this problem, clients in the construction industry sometimes use schedule incentive/disincentive (I/D) contracting strategy. However, previous studies have shown that inadequate understanding and wrong implementation of schedule I/D provisions could result in unintended results. Moreover, the use of the I/D contracting method is in its initial stages in many countries such as India. The purpose of this paper is to identify various factors that are essential for schedule I/D success in construction projects.

A questionnaire survey was conducted among experienced professionals (clients, contractors and consultants) from across the Indian construction industry.

Top success factors related to clients in the descending order of their importance are: realistic targets; detailed guidelines for I/D implementation; close coordination with other stakeholders; correct estimation of I/D duration and amount; and imposing disincentives after due consideration. Meanwhile, factors related to contractor organisations are: continuous monitoring and control; thorough understanding of schedule I/D targets; specific considerations in appointing senior project personnel; effective communication; and proper labour management.

This empirical research was conducted in the Indian construction industry. Similar studies from developed construction markets may provide more insights into the successful use of schedule I/D provisions in construction projects.

The uptake of these recommendations is likely to increase the success of schedule I/D provisions in construction projects, especially in developing countries where the use of I/D contracting strategy is not very popular.

This research highlights the specific roles of both clients and contractors in the success of schedule I/D projects in developing countries such as India.

This study highlights the findings of an empirical study to investigate waste factors (WFs) affecting the performance and delivery of construction projects in developing countries. The objectives of this study are to identify non-physical WFs in developing nations and rank the identified factors based on their degree of influence on the key performance indicators (KPIs) of cost, quality and time.

In total, 34 WFs were identified through a detailed literature review and consolidated using semi-structured interviews with construction practitioners. The statistical analysis involved a normality test using the Shapiro–Wilk test to determine if sample data have been drawn from a normally distributed population, ranking the WFs using the Frequency Index (FI), Severity Index (SI) and Importance Index (IMPI), ranking the WFs based on their effect on the project KPIs of cost, quality and time, and identify clustering structures for the identified WFs to using factor analysis (FA).

The results revealed ineffective planning and scheduling, rework/repair of defective work and resource quality problems (human, material and equipment) as the three most important WFs affecting construction projects. The factor analyses showed that WFs can be grouped into five interrelated components, suggesting the need for integrated and holistic strategies to overcome the identified WF.

Understanding the effects of WFs on construction projects is a first step towards designing holistic solutions to ensuring projects deliver value to the clients and other stakeholders. The findings of this study provide direction to construction practitioners on where to focus appropriate strategies to manage the identified WFs effectively and, therefore, improve the productivity of construction projects.

This study provides the first holistic analysis of WFs affecting the productivity of construction projects in developing countries.

The purpose of this paper is to explore the delay factors in South African electrical distribution projects and demonstrate the interlaced relationship between the identified project delay factors.

This research employs interactive management (IM) methodology to construct a model achieving the research purpose. The IM methodology is anchored in the soft systems thinking. Its inquiry process mainly comprises four phases: idea generation, idea clarification, idea structuring and interpretation of the structured ideas. The IM methodology allows the relevant stakeholders to collaboratively develop a digraph displaying the interrelationship among the system elements.

The participants of the IM session structured a systemic model showing that a loop comprising three factors is the driver leading to the delays in the electrical distribution projects. The three delay factors in the loop are “poor communication”, “poor planning” and “project scheduling not properly done”.

The findings show that a loop comprising three delay factors is the driver leading to the project delays. This result is different from the outputs of the commonly used approaches. The three identified root causes serve as the starting point for eradicating delays in the electrical distribution projects.