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Utility relocation issues are unfortunately frequent and recurring problems in several countries’ highway projects. Very few studies have addressed the utility relocation issues in highway projects. The purpose of this paper is two-fold. First, this paper explores how the utility relocation issues are managed in highway projects. Second, this paper systematically identifies the prioritized technical and coordination strategies to be adopted to avoid delays in utility relocation.

Multiple case-based research methodology was used to explore how the utility relocation issues are managed in highway projects. Empirical evidences from 11 road and bridge projects in India were used to develop the descriptive storyline for each of the project. The strategies used to manage the utility relocation issues were identified from three sources namely literature review, case studies and nominal group technique (NGT). The strategies were then evaluated quantitatively using NGT.

The analysis of the case studies showed that the delays in utility relocation were in the range of 5-52 months. It was found that the duration of relocation of utilities is impacted more significantly by the complexity of underground utilities rather than the size of the projects. Strategies that are used to manage utility relocation were identified across two groups namely; technical and coordination strategies.

Recommendations are provided for the practical use and policy changes.

The prioritized technical and coordination strategies can be used systematically to avoid delays in utility relocation.

Relocation of utilities is a major source of delay in Indian infrastructure projects. This delay is particularly critical in road and bridge construction projects. The purpose of this paper is to identify the various factors and also the interrelationships between the factors which influence the delays in the relocation of utilities.

Case studies were conducted on 11 road and bridge projects in India with varying levels of complexity and size. Factors causing relocation delays were identified using computer aided qualitative analysis methodology. Cognitive mapping technique was used to map the interrelationships between the factors and to identify the critical delay factors.

Factors affecting delays were identified across two groups, namely, technical and organizational factors. The study offers insights into the kinds of interactions of factors that can lead to delays in a project. The critical factors causing delays were identified as slow response from utility agencies, difficulty in identification of underground utilities, lack of information on underground utilities and conflict between agencies.

The limitations of the study are that the interview respondents are not evenly distributed among the type of organizations which may have induced some bias in responses. The impact of the utility relocation delays on the overall project delay has to be detailed further.

The interrelationships between factors has the potential to help the officials of highway department, contractors, utility agencies and others understand how various interactions/linkages of factors contributes to delays in utility relocations. Recommendations are provided for the practical use and to reduce the impact of delays.

Utility relocation has received very little attention in the extant literature and this paper seeks to contribute to knowledge in this area by identifying the linkages between factors and the critical factors of utility relocation delays in India.

Transportation infrastructure projects are inevitably delayed due to delays in the completion of underground utility relocation. Unfamiliar location, difficulty in utility identification and use of ineffective coordination practices hamper timely completion of utility relocation works. This paper aims to develop integrated road information modeling (RIM) and geographic information system (GIS) models to assist early identification of utilities and effective coordination during utility relocation in infrastructure projects.

An ethnographic action-based case study research methodology was adopted in this paper. Two ongoing infrastructure projects with significant utility relocation delays are chosen as case studies and integrated RIM-GIS models are developed to assist utility relocation. To verify the applications of developed RIM-GIS models, a focus group discussion was conducted with 10 field experts from the considered case studies.

The application of the developed RIM-GIS models enabled 3D visualization of existing underground utilities and enabled identification of utility conflicts before the start of the construction. They also enabled facilitating coordination and reduce utility relocation delays. The evaluation of the developed models shows that the RIM-GIS model approach enabled early planning and coordination and facilitates effective management of utility relocations.

The current practices of using CAD and GIS for utility relocations are inadequate due to the difficulties in characterizing utilities and ineffective coordination practices. The proposed RIM-GIS approach can be adopted as a suitable alternative for effective management of utility relocations.

Several studies have contributed toward integrating BIM and GIS for the analysis of highway and utility infrastructure projects. Efforts on integrating RIM and GIS for the support and management of utility relocations in highway and utility infrastructure projects remain unexplored.

The relocation of existing underground utilities in urban environments is complex because of the existence of multiple utility agencies being responsible for numerous utilities and over constrained space and time to execute maintenance works. Unfamiliar location and insufficient records of maintenance data hamper the flow of work, causing unnecessary delays and conflicts. The aim of the paper is to explore 4 dimensional Building Information Modeling as a smart solution for the management of multiple utility data for a relocation project in an urban setting.

An empirical case-based research methodology is used to collect data and develop the BIM models. Two ongoing construction projects in an urban city are empirically studied, and 4D BIM models of identified utilities are developed to assist management and relocation of existing utilities.

The developed BIM models enabled the location of existing sub-surface utilities through 3D visualization and also enabled clash detection. The 4D simulation of BIM model enabled the tracking of actual progress of relocation works and thereby helped in taking necessary actions to minimize forthcoming delays. The evaluation of the developed model showed that the application of 4D BIM improved communication and coordination during utility relocation works.

4D BIM for utility infrastructure provides better management of utility information. They provide utility stakeholders an efficient way to coordinate, manage utility relocation processes through improved visualization and communication with a reduction in delays and conflicts.

Limited efforts were made using 3D BIM for sub-surface utility infrastructure in visualization and management of utility information. Efforts using 4D BIM in coordination and management of utility projects are left unexplored. This study adds value to the current literature through the application of 4D BIM for utility relocation projects.

Both labour groups and the national press frequently justify demands for protection against industrial adjustment on the grounds that it leads to the destruction of communities and traditional ways of life, with a devastating effect on welfare. To justify this claim in the context of a Ricardian open‐economy model requires quite strong restrictions on worker preferences, but a plausible case can be made. Presents a model based on the attachment of workers to their socio‐cultural environment, and suggests some policy options for redressing trade‐induced inequities.

Regarding the immense real estate divestitures that have taken place over the last couple of years, some stakeholders have begun to wonder if these short‐term activities may affect the long‐term competitive advantage of a company. While it appears reasonable that property divestitures enhance the financial situation of a company from a so‐called owner perspective, there is no equivalent quantitative evaluation for the loss in space utilisation and flexibility from a user perspective. Consequently, real estate decision making is based upon an insufficient information basis and is dominated by the investment perspective. In order to better align corporate real estate and real estate investment functions better, this paper introduces a formal decision model which describes the situation of corporate real estate decision makers. They have to trade off entrepreneurial flexibility gained by real estate holdings against the financial opportunity cost of freeing up capital. Making use of a prototype decision situation, the paper demonstrates how the decision maker can improve the underlying information basis for property divestment decisions, using a real option approach. Hence, real estate decisions gain in two respects: they are more transparent and, more importantly, their design is more suitable if the company wants to employ real estate holdings to increase the overall value of the company.

This paper introduces a behavioral framework to model residential relocation decision in island areas, at which the decision in question is influenced by the characteristics of island regions, policy variables related to accessibility measures, and housing prices at the proposed island area, as well as personal, household (HH), job, and latent characteristics of the decision makers.

The model framework corresponds to an integrated choice and latent variable (ICLV) setting where the discrete choice model includes latent variables that capture attitudes and perceptions of the decision makers. The latent variable model is composed of a group of structural equations describing the latent variables as a function of observable exogenous variables and a group of measurement equations, linking the latent variables to observable indicators.

An empirical study has been developed for the Greek Aegean island area. Data were collected from 900 HHs in Greece contacted via telephone. The HHs were presented hypothetical scenarios involving policy variables, where 2010 was the reference year. ICLV binary logit (BL) and mixed binary logit (MBL) relocation choice models were estimated sequentially. Findings suggest that MBL models are superior to BL models, while both the policy and the latent variables significantly affect the relocation decision and improve considerably the models' goodness of fit. Sample enumeration method is finally used to aggregate the results over the Greek population.

Delays in utility shifting during road construction have broad ramifications. These delays not only lengthen the project's timeline but also raise expenses and cause problems with resource allocation. Thus, this study investigates the influence of delay in utility shifting for extension of time claims in road construction projects (RCPs) in Sri Lanka.

The study used a quantitative approach with three rounds of Delphi surveys to gather empirical data. Further, the probability impact assessment was used to carefully analyse the data and appraise the information gathered.

The findings initially revealed 33 causes of delays in utility shifting for extension of time claims in RCPs in Sri Lanka. Ultimately, 11 severe causes were identified based on their high probability and impact, concluding with 45 strategies that were assigned to overcoming those most severe causes of delay.

This study will contribute to the industry and theory by providing solutions to handle utility-shifting delays with the linkage of preventing time extension claims for RCPs in Sri Lanka. Further, there is a dearth of literature in the research area, both locally and globally. Thus, the findings of this research will provide a benchmark for further detailed studies in other countries as well.

The purpose of this paper is to identify and analyze the interdependence of project complexity factors (PCFs) in metro rail projects using the Decision-Making Trial and Evaluation Laboratory (DEMATEL). The study provides qualitative and quantitative analysis of project complexities factors and their relationships. The results of the study facilitate effective project planning, proactive risk management and informed decision-making by stakeholders.

This study employs a case-based method for identifying PCFs and a DEMATEL method for analyzing the interdependence of complexity factors in metro rail projects. Initially, PCFs were identified through an extensive literature review. To validate and refine these factors, semi-structured interviews were conducted with thirty experienced professionals, each having 5–20 years of experience in roles such as project management, engineering, and planning. Further, elevated and underground metro rail projects were purposefully selected as cases, for identifying the similarities and differences in PCFs. A questionnaire survey was conducted with various technical experts in metro rail projects. These experts rated the impact of PCFs on a five-point Likert scale, for the evaluation of the interdependence of PCFs. The DEMATEL technique was used to analyze the interdependencies of the PCFs.

Metro rail projects are influenced by project complexity, which significantly impacts their performance. The analysis reveals that “design problems with existing structures,” “change in design or construction” and “land acquisition” are the key factors contributing to project complexity.

The study of project complexity in metro rail projects is limited because most of the studies have studies on examining complexity in mega projects. The existing literature lacks adequate attention in identifying project complexity and its effects on metro rail project performance. This research aims to bridge this gap by examining project complexity and interdependencies in metro rail projects.

Demand–supply matrices with adverse consequences has occasioned government response to concession initiatives in infrastructure in Nigeria. However, concession-based projects have been trailed by administrative and legal controversies. While this scenario has negatively impacted the acceptability of a concession contract, there is, nevertheless, a paucity of research effort aimed at developing a sustainable framework. The purpose of this paper is to develop a conceptual framework for the evaluation and allocation of obligations of parties, thereby enhancing the synergy and cooperation between the public and private sector organization.

Data were obtained through a questionnaire administered to professionals in concession-based contracts in southwestern Nigeria, which included architects, estate surveyors, quantity surveyors, engineers and builders, accountants/bankers/economists and lawyers. The respondents were selected using random and respondent driven sampling approaches. The questions were structured to ensure that the respondents have appropriate experience in concession-based projects and hold appropriate positions as decision-makers so as to give credence to the collected data.

The study identified 47 contractual obligations in the specific context of developing countries. Based on “half-adjusting principle”, 13 of the obligations notably cost of land acquisition and cost of social disturbances were allocated to the public party; 18 of the obligations notably project design and cost of feasibility study were allocated to the private party; and 16 of the obligations including preparation of terms of a contract and relocation of third party facilities were shared by the parties.

The framework benchmarked the categorization of public and private parties’ obligations in concession-based public–private partnership (PPP) contracts. The study has the implication for the evaluation and allocation of obligations of parties, which could mitigate the risk of failure of PPP projects in relation to the specific context of developing countries.