Renovation of an existing building is an accomplished stem of the construction industry because it supplies financial diversification for construction stakeholders. Although several construction planning tools and stakeholder alignment exercises have been developed, no tool exists to assist project owners to decide between renovating an existing building and new construction with a comprehensive decision criteria. The objective of this research is to create and test a renovation versus new building support decision tool for construction project stakeholders. The renovation versus new building support decision tool was created based on an extensive review of existing support tools and construction industry needs. The created tool was implemented to evaluate decisions of educational facilities by university officials experienced in project management. Results show the tool was effective in identifying relevant topics for discussion and guiding a group of stakeholders through an exercise in decision-making. Specifically, the tool was implemented by construction management personnel for university facilities currently under construction to evaluate the decision to renovate an existing building or new construction. The main contribution of this research is a framework and support decision tool readily implementable for construction project stakeholders desiring to determine if renovation or new construction is the optimal path for their specific objectives.
Renovation of an existing building is a successful branch of the construction industry because it provides financial diversification for construction stakeholders [
Previous research efforts have identified that support is needed for construction decision-making [
A review of a sampling of construction decisions support tools was conducted, specifically tools implemented for project planning. Reviewing findings were used to create a renovation versus new building decision tool. This created decision tool was implemented to evaluate recent “renovation and new construction” decisions made by a university concerning educational facilities. A subsequent discussion of the analyzed research findings, encountered benefits and limitations, and envisioned future research work for decision-making support in the construction industry follows.
During a recession or decreasing economic situation, the construction industry often transitions from new construction projects to renovating an existing building [
It has been theorized that decisions are a function of a person’s resources, goals, and orientations [
Education administrative personnel over facilities and project management have benefitted from decision-making support tools. This includes the creation of an optimization database to collect and analyze teacher inquiry and reflection concerning student data [
A multitude of research conducted by the construction industry and academics has contributed to decision-making processes and prediction models for construction. Dominant factors in the decision to renovate or build new construction include investment cost and future market value of the existing building [
One such area that requires complex decision-making in construction project planning is sustainability, specifically energy consumption [
Unlike operational energy as previously discussed, embodied energy occurs during the construction phase of a building [
Many tools have been developed to provide performance-based assessment models of various building characteristics. For example, a rating model tool was created to measure the heat loss through external windows and walls [
In addition to sustainability elements, stakeholders are often tasked with deciding between renovation and new construction for historically significant buildings. Older building renovation can be more aesthetic and culturally significant but often cost much more than newly constructed buildings with the same desired function [
Although renovations of historically significant buildings are in high demand, structural engineers often encounter costly design challenges [
Construction project stakeholders typically decide between renovation and new construction during the initial scope planning phase. Developing a project scope for design includes many challenges including stakeholder alignment, defining the intended goal of the project and budget constraints [
Because of the uniqueness of construction projects and potentially complex scopes, many project decision support tools have been created and implemented by construction industry. Specifically, project decisions tools geared towards renovation have been implemented in an attempt to empower stakeholders to manage complex issues. An automated model with a complex set of interdependent attributes was created to measure the functional condition of building before and after a planned renovation [
Project stakeholders are required to evaluate many criteria when deciding to renovate an existing building or to build new construction including economic success, intended functionality, and historical significance. Although a multitude of construction support decision tools and processes exist, none address the complexity of deciding between these two project scopes. The reviewed renovation decision models address only renovation and are often too ill-defined to include elements of new construction. A need exists for a decision support tool for stakeholders determining between renovation of an existing building and new construction.
Based on the results of the review and the stated research objective, the following steps were devised and completed: (1) review of existing construction planning decision support tools, (2) identification of decision support tool criteria, and (3) design decision support tool. These steps served as the methodology for creating the renovation versus new building support decision tool. This section provides details for each step in the research methodology.
Past research efforts have produced strategies and devices to support construction planning decision-making. A multitude of these research deliverables were investigated for their benefits and limitations with regard to construction stakeholders making decisions. Some of the most used tools are shown in Table
Review of existing strategic business planning tools.
Tool type | Objective | Limitation |
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Multidimensional site management model [ |
Integrating 4D technology to solve problems of construction resource planning | It only addresses resource management and site space utilization |
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Virtual design for preconstruction planning [ |
Utilizing virtual reality modeling techniques to create the virtual planning tool for construction applications | Tool is a prototype and has not been tested for actual construction situations |
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Simulation modeling and geographic information system [ |
Creation of spatial support system design tool to evaluate contingency planning for emergency evacuation | It fails to address the financial side of construction project planning |
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Computer-aided planning support systems for construction [ |
Implementing computer-based geoinformation instruments as a subset of established planning support systems | It lacks specific criteria to decide between renovation construction projects and new buildings |
The Construction Industry Institute (CII) created a decision support tool called the Project Definition Rating Index (PDRI) which attempts to align stakeholder interest and accurately define the project scope during the preplanning phase [
Several iterations of the PDRI have been completed to broaden the scope of the PDRI concept and to refine the process. CII has framed the PDRI for building projects and industrial projects [
A set of criteria for the decision support tool was identified based on the results of the construction planning decision support tool review. To compile the set of categories for the decision support tool, existing construction planning decision support tools were reviewed as discussed in the previous section. All criteria relevant to deciding between renovation of an existing building and new construction were included. Users of the tool are able to modify existing decision criteria or add new criteria as needed for their specific project. Project metrics, such as cost, are represented in terms of level of effort. Each criteria category provides a definition of level of effort for scoring the metrics.
The following sections were identified to assist in deciding between renovation of an existing building or new construction: (1) planning, (2) facilities management, (3) project requirements, (4) site considerations, and (5) project design parameters. The categories were identified based on the review of existing construction planning decision support tools and review by three experienced university facilities construction personnel. All criteria elements were divided into categories in an attempt to increase the effectiveness of the tool and to foster discussion among similar topics between the project stakeholders. Each of these categories has between four and six specific categories for evaluation by the tool users. Table
Planning section categories of decision support criteria.
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Desired functionality of the proposed building |
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Institutional, medical, research, food service, multimedia, recreational, office, retail, instructional, mass transit, and residential |
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Determining the levels of importance based on project requirements and expectations |
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Sustainability considerations, end user considerations, modifications needed to meet regulatory requirements, usage rationalization, amenities, and site location (e.g., LEED rating systems, LBC certification, and Envision Sustainable Infrastructure Rating System) |
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Determining the level of effort required to achieve the desired project cost |
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Available funding, types and sources of project funds, cost and financing, and related/resulting projects |
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Assessing the level of effort required to achieve the desired project schedule |
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Proposed project end date, schedule milestones and deadlines, and related/resulting projects |
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Assessing the level of effort required for a new building or existing building to meet size requirements |
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Usage adaptability, classroom size, occupancy, market capacity, volume, area uses in net and gross surface area, number of laboratory stations, linear feet or display space, occupant accommodation requirements, operational security system requirements, and antiterrorism standards |
Table
Facilities management section categories of decision support criteria.
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Assessing the level of effort needed to accomplish optimal operational performance from the desired building |
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Critical systems redundancy, architectural stability, structural stability, civil stability and reliability of mechanical, and electrical and plumbing systems |
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Evaluating the level of effort requirements needed to meet the requirements of the maintenance |
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Daily occupancy loads, maximum occupancy requirements, equipment monitoring requirements, materials, finishes, commissioning plans, maintenance impact, and compatibility with existing maintenance |
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Considering design issues and the level of effort needed to meet these issues |
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Layout flexibility, design life, aesthetics, master plan compatibility, and overall size of building |
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Assessing the level of performance for the desired building in terms of space planning and functionality |
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Outline of desired goals of building performance, an achievable level of service, and an acceptable approach to establish project criterion |
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Evaluation of building from current users of the building to identify necessary improvements in building design and performance and to assess the overall building scope |
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Postoccupancy evaluation, retrocommissioning and perceived productivity studies, and end-of-life cycle considerations |
Table
Project requirements section categories of decision support criteria.
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Assessing the cost effectiveness of the design and material alternatives for the renovation and considering items that impact the economics of the project |
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Overall project scope, construction material cost, construction methods, and economics of sustainable design |
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Performing an assessment to determine if the desired building will meet requirements of capacity |
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Power, water, telecommunications, storm water, waste water, water filtration, sanitary sewer, parking areas, roads, construction access, ambulance access, and medical facilities |
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Rating the level of effort required to address the existing building |
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Layout, capacity to accommodate desires, structural grid, and structural integrity |
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Assessing the level of effort to address the existing mechanical, electrical, and plumbing (MEP) systems |
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Heating and cooling systems, large motors, thermal distribution, water heating, water cooling, lighting fixtures, lighting controls, meters, electrical circuits, and plumbing fixtures and connections |
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Rating the level of effort to address building envelope features both for demolition and for renovation. |
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Windows, doors, insulation, roofing, underground utilities, embedded structures, and archeological survey |
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Identifying the utility impact of equipment, moveable furnishings, and desired built-ins and the resulting level of work effort required for each |
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Moveable furniture, kitchen equipment, medical equipment, material handling, partitions, and refurbished items |
Table
Site considerations section categories of decision support criteria.
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Determining the level of effort needed to address items requiring attention in the site survey |
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Easements, right-of-way, drainage patterns, elevations, benchmark control systems, elevations, access and curb cuts, proximity to drainage ways, flood plains, below grade structures and utilities, trees and vegetation, existing building locations and conditions, wetlands, and mass transit |
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Evaluating the existing geotechnical site and determining the level of work effort to improve items needing attention from survey |
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Depth to bedrock, site description, soil potential, fault line locations, spoil area for excess soil, seismic requirements, water table elevation, floor plain analysis, ground water, bearing capacities, paving design options, and overall site analysis |
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Assessing the level of effort needed to meet requirements |
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Construction, signage, environmental, historical issues, accessibility, demolition, setback, fire, building occupancy, transportation, and antiterrorism standards |
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Performing environmental assessment to define the level of effort needed to improve issues found |
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Archeological and environmental permits, existing contamination, ground water monitoring, existing problems, noise/vibration requirements, detention requirements, and erosion/sediment control |
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Taking into account fire and life safety related items to determine the level of effort necessary to improve or implement the proper requirements |
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Fire monitors and hydrants, access and evacuation plan, emergency medical building availability, security considerations, and onsite medical care |
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Project design parameters section categories of decision support criteria.
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Considering the desired civil building design to determine the level of work needed to reach the design criteria |
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Service and storage necessities, site utilities, earthwork, subsurface work, elevation and profile views, equipment location, paving/curbs, landscape, fencing/site security, storm drainage system, underground utilities location and route, minimum overhead clearances, and design for safety |
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Addressing the interior building design issues and recognizing the necessary level of effort to reach the desired design criteria |
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Building requirements, accessibility requirements, character of building design, construction materials, acoustical considerations, planning and zoning review boards, circulation considerations, technological sophistication, color/material and hardware standards, furnishings criteria, design grid, and reuse of equipment |
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Determining the structural design issues and the level of effort needed to meet the desired criteria |
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Structural system, foundation system, future expansion/flexibility considerations, design load parameters, corrosion control, protective coating requirements, and functional spatial constraints |
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Developing mechanical and electrical design parameters and rating the level of effort necessary to meet the desired design criteria |
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Equipment life cycle costs, energy conservation, consumption and life cycle cost, zoning and controls, air circulation requirements, design conditions, building emissions, system redundancy conditions, plumbing requirements, fire protection, alternate energy systems, lighting considerations, outdoor lighting, and emergency power requirements |
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Rating the level of work effort needed to meet all safety requirements for building operations |
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Fire and explosion resistance, area of refuge, safety and alarms, hazardous materials treatment, emergency equipment, shelters, egress, and disaster communications |
To increase the effectiveness of this construction decision support tool, members of the group completing the tool (i.e., university project management administrative personnel) were encouraged to integrate previously used preplanning tools into this process. For example, to achieve a more detailed and accurate sustainability rating, users are encouraged to implement existing tools such as the Leadership in Energy and Environmental Design (LEED) ratings systems [
The renovation versus new building support decision tool was created as an interface to allow group members to interact with the decision criteria. Furthermore the tool provides automated analysis and assessment of input data provided by the group members. Each category of criteria was constructed on an individual page with instructions on how to assess each decision criteria. Programmable functions embedded in Microsoft Excel were used to construct the user interfaces for each category of design criteria. A hidden spreadsheet records all group member responses and automatically calculates overall scores for each category of decision criteria. The interface of automated spreadsheet was selected due to its effectiveness in existing construction planning decision support tools including CII’s PDRI [
It is recommended that project owners faced with deciding between renovation of an existing building or new construction complete the tool as a group. Members of the group should include any university administrative or construction personnel with a vested interest in the project planning phase (e.g., university construction management personnel, university dean of facilities, and university financial supervisor). The group should read and assess each category description and element listing. The group members should specifically estimate the level of effort required for each category. Level of effort encompasses perceived cost, scheduling issues, constructability, and desired quality. Desired quality is the perceived level of quality for each stakeholder using the tool of the project under review. It is assumed that if an existing building is thought to be potentially renovated, the demolition of this building is not under consideration with the created decision tool. However, the demolishing of an existing building can be factored into the decision tool as an additional set of criteria by the user.
A commonly used database software (Microsoft Excel) was used to house the decision tool. All functionality of the decision tool including the user interface and scoring equations were created to function in the database software. Users navigate a series of tabs by means of a hyperlinked control panel. The first page provides user directions and an outline of the tool components. The remaining tabs include categories for each section and an evaluation tab that summarizes the user scoring results. Each tab provides a list of instructions and description of each category to be assessed. The planning section tab is on display in Figure
User interface for planning section of decision support tool.
For each category, the group will first prioritize each category scored as “low,” “medium,” or “high.” This prioritization assigns a weight to each individual category. The left side of Figure The level of effort is equal between renovation of an existing building and new construction. The level of effort for renovation is greater than building new construction. If this is the case, the group must decide if the renovation level of effort is “low,” “moderate,” or “high” compared to past renovation ventures. The level of effort for building new construction is greater than renovation.
The group must use the slide bar to score each assessment for each category. The group should complete this process for each category within each section. Once completed, the evaluation tab shows the resulting score of the group’s assessment. The displayed score shows the rating for each section as well as the overall group level of effort rating. The lowest score reveals the best options for the project under investigation because it represents the lowest level of effort between renovation of an existing building and new construction. Figure
Section and overall scoring summary of decision tool.
The created renovation versus new building support decision tool was implemented on two active construction projects on the University of Alabama’s campus in Tuscaloosa, Alabama. Both projects are existing campus facilities under renovation by local contractors. The motivation to create this decision-making support tool was formed from a lack of structured decision criteria and process for determining between new construction and renovation of an existing building. Both buildings (Buildings A and B) were educational buildings that recently underwent renovation.
Project managers and other facilities personnel at the University of Alabama were asked to assess the level of effort of each project based on the project specifications and overall scope. Two project management personnel for each project completed the renovation versus new building support decision tool for their corresponding project. All four individuals were the current supervising project managing representative for the university and each had greater than 5 years of experience in that position. Each individual has previous project experience at the university in which they participated in the project planning process. Furthermore, each individual had obtained either an engineering or a construction management degree. The maximum amount of time required by the research participants was 2 hours to complete the tool with an average duration of 1.7 hours. Table
Scoring summary of facilities personnel for existing construction projects.
Planning | Facilities management | Project requirements | Site considerations | Project design parameters | Overall | ||
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Building A | New construction | 67 | 56 | 36 | 43 | 60 | 52 |
Renovation | 33 | 44 | 64 | 57 | 40 | 48 | |
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Building B | New construction | 90 | 69 | 63 | 38 | 55 | 63 |
Renovation | 10 | 31 | 37 | 63 | 45 | 37 |
The overall level of effort score was lower for renovation in both projects shown in Table
The decision to renovate or build new construction by project owners can greatly impact the overall project budget, schedule, and quality of construction. Although a variety of industry and academic research have resulted in processes and tools for making decisions in construction, there is a need for a tool to aid owners when deciding between renovation of an existing building and new construction.
A renovation versus new building support decision tool was created to support project owners when making this decision. The tool was created based on results of a review of existing construction decisions support tools and construction stakeholder needs in preproject planning and project scope decisions. The renovation versus new building support decision tool was implemented to evaluate decisions of two currently renovated educational buildings by university construction project managers. Research results indicate that the tool can be effective in supporting project stakeholders when deciding between renovating an existing building or new construction. The main research contribution is a framework and an automated support decision tool for construction stakeholders deciding between renovation of existing buildings and new construction. The research also contributes scientific evaluation data for the created tool implemented into two existing renovation construction projects for assessment.
Limitations of this work were the generalization of level of effort when compared to the variety of available project controls (e.g., scheduling, productivity, safety, and quality). Future decision support tools could integrate more detailed specifications of quality, cost, scheduling, constructability, and others to more accurately support the decision. Due to the drastic benchmark ranges of construction project controls, level of effort was selected to allow project owners to consider all project controls. Future research could also integrate other construction project support tools with the renovation versus new building support decision tool.
The authors declare that they have no competing interests.