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An adaptive traffic-control system (ATCS) is an advanced traffic-signal control system that updates traffic signal timing in an automated way to stabilise and smooth traffic. It is important to examine updated cost and benefits data for the entire life cycle of ATCSs to develop benefit/cost analysis frameworks. The application of a high-level benefit/cost analysis framework is presented in this paper. The framework was first tested on ramp metering systems in a previous study by the authors and its application in ATCSs produced promising results. The framework is composed of four main components: life-cycle cost analysis, benefits achieved through travel time savings, benefits achieved through reductions in energy consumption and benefits achieved through reductions in the number of accidents. A theoretical case study was used to demonstrate the application of the framework. A sensitivity analysis was conducted to determine the effects of higher traffic demand on the benefits achieved. The results showed that ATCSs can be feasible in relieving congestion at junctions. It is anticipated that the proposed framework can improve the higher-level decision-making procedures of transportation agencies concerning the deployment of ATCSs.

Dynamic pile group effect can either increase or decrease the response of pile-supported structures. This paper presents the results of a three-dimensional finite element model of the pile-to-pile ...

Bridges are important links in the US infrastructure system, and various inspection activities at different frequencies are needed to maintain and preserve bridges at an acceptable level of service. Recent guidelines by Federal highway administration (FHWA) have mandated state agencies to inspect and manage bridges at an element level. To obtain element-level inspection data, different resources are needed for mobilizing, cleaning, and accessing all elements of a bridge, creating complication in optimizing resource allocation for inspection activities. This study proposes a simulation-based, easy-to-use planning tool for bridge inspection to effectively estimate the minimum resources required to complete all the FHWA mandated inspections using four attributes (deck area, inspection frequency, structure type and scour critical) from bridge inventory database. The results of the simulation model can show resource utilization under different scenarios, which supports the planning of element-level bridge inspection to ensure optimum resource allocation.

Over the last decade, transportation asset management practices have been increasingly enhanced through incorporation of sustainability considerations. Organizational- and network-level gui...

The primary objectives of ramp metering are to reduce congestion on freeways by restricting the total flow entering the freeway and to discourage short-distance travelers from using the freeway. Life-cycle cost analysis of ramp-metering deployments has received attention in particular for identifying the strategy with the lowest cost. However, increasing concerns over the effects of congestion on the environment and increasing rates of accidents are urging decision makers to consider the environmental and social effects of ramp-metering deployments in addition to agency costs. This paper presents a high-level benefit–cost analysis framework for ramp-metering deployments. The framework was constructed in consideration of the triple bottom line of sustainability (i.e., economic, environmental, and social factors). More specifically, the framework is made up of four main components: ( a) life-cycle cost analysis, ( b) analysis of benefits achieved through travel time savings, ( c) analysis of benefits achieved through reductions in energy consumption, and ( d) analysis of benefits achieved through reductions in the number of accidents. A hypothetical case study is used to demonstrate the application of the framework. A sensitivity analysis is conducted to determine the effects of higher traffic demand on the benefits achieved. It is expected that the proposed framework can improve the high-level decision-making procedures of transportation agencies in regard to the deployment of ramp meters.

Sustainable development is one of the most widely studied contemporary issues in the transportation sector. However, few of the existing project-level, sustainability-oriented decision tool...

Approximately a quarter of the bridges in the United States are classified as either functionally obsolete or structurally deficient by the United States Department of Transportation (USDOT). As such, transportation agencies are challenged to handle the increasing need of upgrades with limited resources. Accelerated Bridge Construction (ABC) can reduce the construction duration and can decrease the environmental and socio-economic impacts of repair and upgrade activities by minimizing traffic disruptions. As several states are using accelerated construction techniques, a standard guideline would be highly beneficial for these agencies in developing or improving the ABC decision-making process. As problems are often project specific, a decision tool can assist in determining the viability of ABC over traditional construction methods and in selecting appropriate construction and contracting strategies on a case-by-case basis. This paper presents findings of a recent survey with regards to utilization of ABC strategies by state Departments of Transportation (DOTs), and a decision support framework which consists of three models: (1) Analytical Hierarchy Process (AHP) based ABC vs. traditional construction decision-making model; (2) ABC alternatives selection model; and (3) procurement method and contract selection model. The paper also discusses the use of ABC in New York State and describes a New York State bridge project to validate the AHP model. First published online 02 May 2017

Transportation systems management and operations (TSM&O) strategies such as adaptive traffic control systems (ATCSs) and ramp metering systems (RMSs) can be utilized to exploit existing transporting capacity instead of undertaking costly new construction projects. This paper presents an asset management framework for TSM&O components used in ATCSs and RMSs including signal heads, controllers, detectors, supporting structures, and communication lines to support the decision making processes of transportation agencies. ATCS and RMS overall condition ratings and importance indices are the two parameters that contribute to prioritization of these TSM&O applications. A fuzzy logic approach is used to combine these two major components. Inspection guidelines and published cost databases are primary data sources, while economic (agency), social (traveler), and environmental benefits that would be lost in case of failures are considered in developing procedures to determine the importance indices. This asset management framework allows transportation agencies to identify ATCS and RMS deployments with high risk considering both the condition levels and benefits provided by these deployments, and hence constitutes a highly important step towards development of risk management and mitigation plans featuring appropriate maintenance, repair and rehabilitation (MRR) strategies. Future research can integrate additional TSM&O components into the asset management framework, and the boundary of benefits considered in determining the importance indices can be expanded.

The managers of the US transportation infrastructure face the challenge of restoring the aging highway infrastructure system and making it perform more reliably, safely and efficiently at minimum cost and with minimum disruption. The process selection of an appropriate construction plan for rehabilitation/reconstruction of a bridge requires its evaluation on the basis of qualitative and quantitative metrics such as construction cost, effect on surrounding businesses and communities and the flow of traffic, etc. Traditional decision-making methods that are focused on costs alone are not equipped to address the multi-objective nature of the decision-making process. This article presents an example demonstrating a decision-making system based on the analytical hierarchy process that can be utilised to transparently extract quantitative weights which reflect the relative importance of both qualitative and quantitative objectives of a project and select a bridge construction plan that best meets the objectives.

The decision-making processes used by many state transportation agencies in US and Canada for selecting a strategy for pavement rehabilitation primarily depend on initial construction and maintenance costs for identifying the most economically efficient pavement rehabilitation alternative. While this approach is appropriate for optimally allocating increasingly limited funds in the face of increasing investment backlog, it is not economically efficient because it does not account for user costs. Despite a significant body of research, the state transportation agencies are hesitant to include user costs in their pavement life-cycle cost analysis processes because of a lack of availability of standard method of calculating user costs. This article presents the results of a study conducted to review the pavement alternative selection processes used by the Ohio Department of Transportation and recommend ways to include user costs in the decision-making process. Incorporating user costs in the decision-making ...

Because of deteriorating condition levels of wastewater networks and financial constraints, sewer agencies are seeking methods to prioritize inspection of sewer pipes on the basis of risk of failure. Risk assessment of sewer pipes requires integration of the probability and consequences-of-failure values in a way that reflects the decision maker’s perception of risk. This paper presents the use of a weighted scoring method to determine criticality of sewer pipelines. The procedure involves identifying important factors, determining the relative importance of the selected factors, and summarizing the overall performance of sewer pipes in terms of these factors. Determination of risk of failure by combining the resultant consequence-of-failure values with the probability-of-failure values using simple multiplication, risk matrices, and fuzzy inference systems is presented. Application of these methods is illustrated by using the sewer network information obtained from a local wastewater agency. The ...

Wastewater utilities are aiming to implement asset management strategies to minimize costly emergency repairs, to justify expenditures, and to optimize future renewal actions. Consequently, development of deterioration models that explain the behavior of wastewater lines and provide predictions regarding potential future condition levels is gaining importance. In this paper, deterioration models are generated to estimate the probability of failure values for sewer sections. A set of variables was obtained by examining the inventory and inspection databases of a sewer network. Three statistical methods (ordinal regression, multinomial logistic regression, and binary logistic regression) were employed in successive steps. Proportionality of odds assumption was tested for ordinal regression models, and suitability of this particular method was discussed. Estimated condition ratings were compared with observed data, and the binary logistic regression model was found to be more suitable for predicting ...

A fast-track project delivery strategy is designed to leverage the ability to execute the design, procurement, and construction phases simultaneously to substantially reduce the overall project duration. The successful execution of the design phase in fast-track projects is especially challenging because the concurrent execution of design and construction interferes with the inherently iterative nature of the design process. In this research, it was hypothesized that a correlation exists between the use of some of the Construction Industry Institute (CII) best practices and the performance of design phase in fast-track projects. Analysis of the performance of the design phase in 31 fast-track projects revealed a statistically significant correlation between performance of the design phase and front-end planning, alignment, constructability, and change management. The results of quantitative analysis are supported by qualitative analysis of data, opinion of experts from industry, and academia. The ...

Drainage infrastructure systems and culverts constitute an important portion of highway assets that require routine inspections, maintenance, and timely repair and renewal. Variations in structural characteristics (i.e., material type, shape, and dimension), environmental exposure, and wide geospatial distribution of these infrastructure assets accompanied with strict budget restrictions pose significant challenges for transportation agency officials. Deterioration models constitute one of the most essential components of any infrastructure asset management strategy; these models provide insight on the significant factors that affect infrastructure condition states and expected behavior of infrastructure assets under different conditions. The objectives of this study are to provide a review of previous studies on factors that affect culvert performance and durability and those on culvert asset management, to present current practices of transportation agencies with regard to management of culverts, and, last, to present development of a preliminary deterioration model that will allow decision makers to identify significant factors that affect deterioration of metal culverts and prioritize inspection procedures. The preliminary deterioration model presented in this study is developed by employing binary logistic regression with a forward stepwise variable selection method on data obtained from the Ohio Department of Transportation.

The need to provide utility service lines with less disruption to the ground surface has increased the demand for trenchless excavation methods like microtunneling. Although the microtunneling technique has been used in the United States since 1984, the factors influencing the success of construction process are not completely clear among industry parties. Better understanding of the factors affecting the microtunneling construction process will facilitate enhancing and modeling the productivity of microtunneling projects. A questionnaire was sent to microtunneling experts to study the factors affecting productivity and their ranked importance. The participants are contractors, engineers, and manufacturers in the United States and Canada. This paper presents the results of analyzing the responses of the experts in the microtunneling industry. This research builds up the basics for modeling the microtunneling productivity of microtunneling projects. It will help microtunneling contractors identify the most affecting factors on microtunneling productivity and then building productivity models.

Musculoskeletal disorders (MSDs) constitute more than half of the total injuries and illnesses within the construction industry. The aim of this study was to assess the prevalence of MSD among construction workers and identify the psychosocial and physical risk factors associated with their occurrence using an on-site survey instrument. One hundred forty seven construction workers (representing three trades) participated in the study. The 1-year prevalence of MSD was high with 61.2% reporting severe symptoms and 39.7% having some functional impairment due to MSD. Physical task requirement was the most important factor associated with MSD reflecting the physical nature of construction work. Economic and performance factors were the most stressful psychosocial factors reported and significantly increased the risk of reporting MSD. The findings of this research underscore the independent role that psychosocial factors play in the health and safety of construction workers. Understanding this role is imperativ...

Corporations of varying sizes and operations within the construction industry acclaim the contribution of project management applications that assist in business and operational practices. An integrated intelligent construction management application that enables process modeling and algorithmic analysis of construction process planning, interacts with a mainframe-based automated relational database system, and drives the project sequencing, scheduling, decision making and change management processes can introduce dramatic speed, simplicity, accuracy, and collaboration into existing project planning practices. Several research organizations and academic fraternities in concert with industry participation are focusing on the development of such futuristic tools as described above. However, evidence of such computing applications being used by the industry is minimal and a number of reasons have been cited by researchers for this. This study, through a review of the genesis, evolution, and future of computing applications in construction followed by an industry-wide survey, aims to study whether or not concurrent research agendas in construction information technology are truly sustainable from the industry's perspective. DOI: 10.1061/ASCE0733-93642008134:7501 CE Database subject headings: Construction management; Research; Computer software; Information technology IT.

Productivity improvement of manufactured housing (MH) production systems has been a great concern to manufacturers and production managers. Studies show that a typical manufactured housing plant fails to produce at desired capacity and production rate because of several shortcomings. The evaluation of the production system efficiency in the factory is essential for meeting the growing demand of customers with respect to design and size of the housing product. It is imperative to explore alternative layout designs that would be more efficient and productive. A decision support system (DSS) is proposed to assist the user in selecting an efficient layout design matching specified requirements and business constraints. The DSS framework covers interrelated factors of: (1) the market demand; (2) MH organization; (3) MH production process; and (4) MH production planning and facility design. Existing MH factories can utilize simulation and optimization components of the DSS in streamlining their activities and locating then solving potential bottlenecks. Additionally, the DSS can be used in selecting optimal production system layout for new plant design.

Existing research on women in construction focuses on engineers and entrepreneurs, yet little to no attention has been given to women in trades. Thus, the aim of this research is to review the literature on tradeswomen and to conduct a localized study to determine if demographic variables affect satisfaction with work, pay, opportunities, supervision, and people on the job for tradeswomen. These variables include age, education, number of dependents, number of trade years, duration of work, and frequency of work outside of the local area. Thirty-nine tradeswomen from the Cincinnati area were surveyed to assess their satisfaction or dissatisfaction with construction work. Currently, the literature review indicates that research on tradeswomen is limited and largely restricted to identifying measures that can attract and retain women in construction trades. Studies on motivation and job satisfaction of construction workers neither identify nor compare perceptions of tradeswomen about their work. Results of this exploratory study showed that pay, benefits, and job security are most important to women in their occupation. Although tradeswomen appear to be satisfied with the nature of work in construction trades, this is not the case in terms of pay, benefits, and job security. Demographic variables did not affect the level of job satisfaction for women in construction trades. Research on tradeswomen is essential and important as the industry tries to change its image and encourage diversity in order to mitigate labor shortage.

Materials that are in the form of one-dimensional stocks such as steel rebars, structural steel sections, and dimensional lumber generate a major fraction of the generated construction waste. Cutting one-dimensional stocks to suit the construction project requirements result in trim or cutting losses, which is the major cause of the one-dimensional construction waste. The optimization problem of minimizing the trim losses is known as the cutting stock problem (CSP). In this paper, three approaches for solving the one-dimensional cutting stock problem are presented. A genetic algorithm (GA) model, a linear programming (LP) model, and an integer programming (IP) model were developed to solve the one-dimensional CSP. Three real life case studies from a steel workshop have been studied. The generated cutting schedules using the GA, LP, and IP approaches are presented and compared to the actual workshop's cutting schedules. The comparison shows a high potential of savings that could be achieved using such techniques. Additionally, a user friendly Visual Basic computer program that utilizes genetic algorithms for solving the one-dimensional CSP is presented.

Fiber reinforced polymer (FRP) composites have become popular in recent years both in the construction of new facilities and in the renewal of existing structures owing to their technical advantages and economic benefits over traditional materials. However, there is a concern in the civil engineering industry over the lack of information on the long-term durability and life-cycle performance of composite materials used for infrastructure applications. The model proposed in this paper predicts infrastructure deterioration based on the material degradation by considering the environmental exposure, operation conditions, material durability, and the effect of maintenance actions on the structure over time. The analytical framework is generic and can be used to model the life-cycle performance of different types of structures and is applicable to different material types and exposure conditions. It is proposed as being particularly suitable for composite applications in civil engineering for which historical performance data are not available. A complete description of the modeling framework is presented here along with a hypothetical example case to illustrate the procedure.

The way to achieve satisfactory performance of a machine foundation is to limit its dynamic amplitude to a few micrometers. In using piles for the foundation, the interaction of the pile with the surrounding soils under vibratory loading will modify the pile stiffness and generate damping. This study presents the results of a three-dimensional finite element model of a soil-pile system with viscous boundaries to determine the dynamic stiffness and damping generated by soil-pile interaction for a vertical pile subjected to a vertical harmonic loading at the pile head. The pile was embedded in a linearly elastic, homogeneous soil layer with constant material damping. A parametric study was undertaken to investigate the influence of the major factors of the soil pile system that affect the vertical vibration characteristics of the pile response. These were found to include the dimensionless frequency, ao, soil-properties, pile properties, and length and axial load on the pile head. Pile foundations are generally constructed in groups. A three by three group of piles rigidly capped were used in this study. Three different pile spacings were used, two times, four times and six times the pile diameter. Both the dynamic stiffness and damping were determined for the whole group. The group effect on the stiffness and damping was determined by group stiffness and damping efficiency factor. The efficiency factor was found to be frequency dependent, could attain values above unity, and was very sensitive to the soil shear modulus. The distribution of forces among the pile group was also determined.

This article compares the techniques developed for lean construction with those developed for lean manufacturing. Lean manufacturing and lean construction techniques share many common elements despite the obvious differences in their assembly environments and processes. Manufacturing plants and construction sites are different in many ways that might explain why lean production theories and practices do not fully fit the construction industry. Though many lean construction tools and elements are still in an embryonic state, lean construction techniques are gaining popularity because they can affect the bottom line of projects. Additionally, this paper presents a study of a construction project in which specific lean construction elements were tested. Each technique was evaluated in terms of its impact on the performance of the project. Based on the findings of the study, a new “lean assessment tool” is proposed to quantify the results of lean implementations. The assessment tool evaluates six lean constru...

As the need for utility service line replacement or repairs with minimum disruption to the surface have increased, so has the demand for trenchless excavation methods, in particular, microtunneling. Microtunneling is a trenchless technique that is used to install new pipelines. Microtunneling can be applied in gravity and pressure lines, permanent ducts for cables, and crossings under rails or roads. When bidding a microtunneling project, the main concern of microtunneling contractors is predicting the underground behavior of the machine. In other words, the productivity of microtunneling is the key to profit in microtunneling projects. Contractors generally predict approximate productivity based on experience, which risks cost estimation accuracy for microtunneling projects. Contractors lack a productivity model that helps them to predict driving time. This paper is a part of a series of papers covering the productivity of microtunneling projects. This paper focuses on predicting the penetration time of the microtunneling machine.

Background: Recent reports indicate that construction workers are at a significant risk of musculoskeletal disorders. While there are several reviews investigating the association between psychosocial factors and musculoskeletal disorders, there are none focusing on those specific to the construction industry. Objective: To review and critically appraise the current epidemiological literature linking psychosocial work factors to musculoskeletal disorders among construction workers. Methods: An online search of relevant databases was conducted. The quality of identified articles was assessed using a quality scoring checklist. The evidence from selected studies was summarized and the results of the critical appraisal were discussed. Results: Eight cross-sectional and two cohort studies were included in this review. High job stress was the most commonly investigated factor followed by job satisfaction, job control and high quantitative job demands. All studies reported an association between musculoskeletal ...

The Ohio Department of Transportation (ODOT) created Strategic Initiative Number 9 to “build bridges smarter, faster and better.” One project undertaken by ODOT was to use a precast, post-tensioned slab bridge in place of a cast-in-place slab. To accommodate school schedules and a festival, the bridge was to be completed in 16 days. However, the bridge was actually completed in 19 days. Delays were due to weather, equipment problems, and confusion over plans and specifications. Contributing to the success of the project was the effective partnering between ODOT and the contractor, along with a high level of upfront planning. However it is necessary to address problems such as the lack of contingency plans and some unexpected issues that were overlooked in the planning phase.

The need for utility service line replacement or repairs with minimum disruption to the surface has increased the demand for trenchless excavation methods like microtunneling. Microtunneling is a trenchless technique that is used in installation of new pipelines. Microtunneling can be applied in gravity and pressure lines, permanent ducts for cables, and crossings under rails or roads. In order to give a better view of the microtunneling method, a successful case study of a microtunneling project is presented. This project was one of the projects to construct a new sewer system supplementary to the old sewer system in Cairo, Egypt. Boulac is a very crowded district of Cairo, Egypt, with about 4 million people. The contractor was a consortium of five specialized international companies. The engineer was a consortium of four American and British companies. Boulac’s microtunneling project value was about $300 million and lasted for about 5 years. The length of microtunneling drives in Boulac was about 6.0 km...

Infrastructure engineers and managers have to be aware of the economical consequences of selecting a particular rehabilitation and construction alternative for civil infrastructure units such as pavements, bridges, and pipelines. This research presents a new approach for estimating life-cycle costs and evaluating infrastructure rehabilitation and construction alternatives, derived from probability theory and simulation application. In this study, highway pavement data are used to demonstrate the model concept and development. The developed risk-based life-cycle cost model considers the time to failure of each pavement rehabilitation/construction alternative and provides additional knowledge about the uncertainty levels that accompany the estimated life-cycle costs. This paper describes the various components of the developed model, the factors affecting pavement performance and service life, the statistical stratification process of highway pavement networks, and the data input modeling and simulation utilized for the analysis. Additionally, a case study is presented to demonstrate the model implementation and its potential value to the decision-making process regarding the selection of pavement construction and rehabilitation alternatives.

Lean production techniques developed by Toyota Motor Corporation have been widely applied in the manufacturing sector to reduce waste, ensure just-in-time delivery, create effective value streams, and ensure continuous improvement. Over the last two decades, significant efforts have been made to develop the theoretical foundation and practical tools to implement these techniques in the construction process. The construction process is similar to production, in that it involves the assembly of raw materials into a product. The design process, on the other hand, involves conversion of the client’s requirements into manufacturing instructions using creativity and technical knowledge. This makes it challenging to implement the principles of lean production directly to design. This technical note presents the techniques used by a midsize industrial construction contractor: purpose built facility, making decisions at the last responsible moment, lean audits, and 5S in the design of industrial projects t...

Due to an aging and rapidly deteriorating transportation infrastructure, agencies are facing the challenge of making quick and reliable decisions regarding the repair and renewal of their assets. While comprehensive asset management strategies have been developed for the visible components of the highway system, such as bridges and pavement, culverts and drainage structures are often neglected. The investigators recently completed an MRUTC project in which they have investigated the current culvert asset management practices of transportation agencies and also developed the inventory and inspection protocols necessary for establishing an effective culvert asset management program. This study builds upon the findings of the previous research project and focuses on the application of trenchless technologies for inspection, construction, repair and renewal of culverts. A literature search, a survey of departments of transportation and a survey of technology providers have been conducted to identify and characterize trenchless technology methods used for buried pipes. The limitations of trenchless technologies in terms of applicability to culverts are investigated. Steps of establishing a comprehensive culvert asset management strategy are identified. Based upon the findings a decision support system is developed which will help the decision makers identify the optimum repair/renewal procedures as a function of the condition of the culvert.

The deteriorating highway culvert infrastructure has become a major challenge for the 21 st century. While more importance usually is given to highway embankments, pavements, and bridges, the maintenance of culverts has commonly been neglected. As many culverts reach the end of their design life, the state Departments of Transportation (DOTs) are in need of a model to track the existing culverts and forecast their conditions. Therefore, the main goals of this research is to develop a framework for culvert inventory and inspection by providing protocols and condition rating systems for culvert inventory and inspection, and validate the developed framework by conducting field pilot studies. Performance scores for the culverts are calculated using an analytical hierarchy process (AHP) to determine the magnitude of the deterioration and assist in short and long term planning. This study focuses on concrete, corrugated metal, and plastic culverts spanning less than or equal to 10 feet (3 meters). The developed model contributes to an effective culvert asset management strategy.

The paper presents a summary of the costs of traffic disruptions due to the method of pipe installation chosen for utility construction. The study is limited to university campus projects, and the estimated costs of delay reflect only the time delay and fuel expense. The cost of travel would be more on roadways with high traffic volume, such as freeways and arterial roads. Also, the data and cost estimates do not include business loss and pollution costs. The paper focuses on the social cost considerations in evaluating the comparison of open-cut construction compared to trenchless methods of pipe installation. Based on the data from the case studies and literature review of similar existing studies, the information can be applied to a range of applications in utility construction.

The need for utility lines with less distraction to the surface increased the demand for trenchless excavation methods. Today, trenchless technologies are one of the fastest growing utility installation techniques in the construction industry. Their demand is on a continuous rise and newer technology is emerging and is being used. Trenchless methods can be classified under three main categories which are new pipeline installation, pipeline replacement; and pipeline renovation. This research studies the auger boring technique and evaluates the construction factors that affect project productivity. Auger boring is a process that involves a large number of factors that need to be considered for productivity prediction and improvement. This research utilized two simulation techniques to simulate the auger boring process and evaluate the productivity of auger boring systems. It studied the effect of various bore length on project productivity and cost as well. The two simulation models were developed using MicroCYCLONE and Arena. Data was collected using a questionnaire that was sent to a number of auger boring contractors in the Midwest. This paper identifies the factors that affect the productivity of auger boring machines and explain the development of the simulation models. Furthermore, the results of the simulation models were analyzed and compared.

Building Information Modeling (BIM) is becoming more and more an industrial standard for the AEC industry that can provide an integrated approach for effectively managing data and information throughout a project lifecycle. Planning, design, and construction phases of different types of projects can benefit from integrating other technologies such as Virtual Reality (VR) and Augmented Reality (AR) with BIM to enhance its functionalities, including virtual walkthrough, schedule visualization, clash detection, and as-built modeling. Additionally, asset management functions during the maintenance and operation phase of facilities and infrastructure can substantially benefit from this kind of integration. This paper will provide a comprehensive review upon several emerging technologies regarding (1) technological advancements reflected by software and hardware development, (2) applications in the design, construction and asset management through integration with BIM in all phases of projects, and (3) current state of research and practice. It will specifically, provide some limiting factors that prevent VR/AR from further deployment, including lack of GPS accuracy, complexity in development and unclear data security will be explained. Additionally, this paper will present the ben