Journal of Construction Engineering
Volume 2016 (2016), Article ID 5737160, 10 pages
http://dx.doi.org/10.1155/2016/5737160

Research Article

Renovation versus New Construction and Building Decision Tool for Educational Facilities

Carrie Pope,¹ Eric Marks,² Edward Back,² Tim Leopard,³ and Thomas Love³

¹Department of Civil, Construction and Environmental Engineering, School of Civil and Environmental Engineering, University of Alabama, H.M. Comer Hall, Tuscaloosa, AL 35401, USA
²Department of Civil, Construction and Environmental Engineering, University of Alabama, H.M. Comer Hall, Tuscaloosa, AL 35401, USA
³University of Alabama Facilities Department, 1205 14th Street, Tuscaloosa, AL 35487, USA

Received 20 April 2016; Accepted 8 June 2016

Academic Editor: F. Pacheco-Torgal

Copyright © 2016 Carrie Pope et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

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.

1. Introduction

Renovation of an existing building is a successful branch of the construction industry because it provides financial diversification for construction stakeholders [1]. Building owners are often challenged with deciding between new construction and renovating an existing building to achieve their desired scope [2]. This complex decision can impact the overall project budget, schedule, and quality.

Previous research efforts have identified that support is needed for construction decision-making [3]. Several tools and activities have been created to assist construction stakeholders when planning and making decisions [4, 5]. However, none of these tools specifically support construction project owners tasked of selecting either new construction or renovation of an existing building. The objective of this research was to create a decision-making tool that supports construction project owners to aid in determining between renovating an existing building and new construction. The scope of this project included all construction-related ventures in which some information is known about the project purpose and project owners are deciding between renovation of an existing building and new construction.

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.

2. Background

During a recession or decreasing economic situation, the construction industry often transitions from new construction projects to renovating an existing building [6]. The construction industry has utilized renovation projects as a method of diversification to remain profitable during a down economy [1]. Project owners are often required to decide between renovation of an existing building or new construction.

2.1. Support for Decision-Making

It has been theorized that decisions are a function of a person’s resources, goals, and orientations [7]. In general, decision-making is a complex process due to unforeseen events, risk, and uncertainty [8]. Many tools, criteria, and processes have been created to support theoretical and applied decision-making. For example, the analytical hierarchy process provides a structured system for analyzing complex decisions which has been implemented in many industries [9]. This process has been used in many capacities including topography changes [10] and contractor selection [11]. Other created analytical tools implement planning matrices to optimize decision-making outcomes [12].

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 [13] as well as the implementation of a school-wide positive behavior support evaluation tool for trending student behavior [14]. The success of a school or school district can be linked to decisions made by administrators [15]. The rational model and bounded rationality model have been implemented to support decision-making by school administrators [15]. School boards in Michigan integrate analytical decision-making optimization to determine the demand for educational facilities based on community surveys, demographic data, and selected local plans [16].

2.2. Construction Project Decision-Making

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 [17]. Due to the economic implications, several processes and decision tools have been developed to guide and support stakeholders during decision-making. These processes and tools enable construction project stakeholders to align on specific requirements and support the personnel during a decision-making process.

One such area that requires complex decision-making in construction project planning is sustainability, specifically energy consumption [18, 19]. Energy consumption in existing houses was explored to understand why individuals decide to renovate their utilities [20]. Various decision criteria (e.g., exterior building materials) were evaluated in regard to life cycle implications of building renovations and new construction [21, 22]. In general, renovation-based strategies were found to have less of an environmental impact when compared to newly constructed houses with similar characteristics [23]. Four complex decisions were evaluated for an individual planning to optimize the investment of sustainable renewable options for a house including maintenance only, renovation options with minor improvements, transformation with major adjustments, and a new building option [24].

Unlike operational energy as previously discussed, embodied energy occurs during the construction phase of a building [25]. The embodied energy makes up a considerable part of the total energy use in buildings [26]. Considerable amounts of energy are spent in the manufacturing processes and transportation of various building materials [27, 28]. Several decision support tools have been created to measure the environmental impacts of embodied energy including life cycle assessment of environmental impacts of building materials [29], optimization mapping of transportation [30], and specialized tools considering environmental impacts only to commercial buildings [31].

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 [32]. Other energy assessment tools have been implemented to predict monthly energy uses of an individual building [33]. Tools have also been created and implemented regarding building safety. One such tool simulates a fire evacuation drill for building occupants to validate acceptable escape paths and durations [34].

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 [35]. Sociological researchers strive to preserve historical buildings as a means to better understand the logics of movement of a people group and conserve a collective memory of a community [36].

Although renovations of historically significant buildings are in high demand, structural engineers often encounter costly design challenges [37]. The balance between historical significance, building functionality, and economics presents unique challenges when deciding between renovation and new construction. Several research and private sector efforts have focused on improving renovation techniques for historically significant buildings including using timber-concrete composite structures to renovate historical wooden floors [38], an appraisal method to capture energy efficiency improvements from building renovation [18], and techniques to model human dynamic loads on structural floor vibrations of historical buildings [39].

2.3. Construction Project Scope Decisions

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 [40]. The success of construction projects is largely dependent on the agreement of project stakeholders on the project scope [41, 42]. Managing uncertainty and aligning stakeholder interest during this scope planning phase are critical for stakeholders to determine if they desire to renovate an existing building or new construction [3].

2.4. Construction Project Decision Support Tools

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 [43]. A more specific decision model evaluated the anticipated energy performance improvement of a newly renovated office building [44]. Many other similar models were created for decisions within the realm of renovating an existing building including semiautomated selection of renovation alternatives [45], multicriteria “knapsack” model for renovation [46], and multicriteria renovation decision-making models [47, 48]. These decision support tools only address building renovation elements and do not assist in decisions between renovating an existing building or constructing a new one.

2.5. Research Needs Statement

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.

3. Materials and Methods

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.

3.1. CII Project Definition Rating Index (PDRI)

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 1 with their objectives and limitations.

Table 1: Review of existing strategic business planning tools.

Tool type
Objective
Limitation

Multidimensional site management model [49]
Integrating 4D technology to solve problems of construction resource planning
It only addresses resource management and site space utilization

Virtual design for preconstruction planning [50]
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

Simulation modeling and geographic information system [51]
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

Computer-aided planning support systems for construction [5]
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 [52]. This tool uses a weighted checklist of 64 scope definition elements for stakeholder evaluation of the given project [52]. By using this tool, project stakeholders can identify and communicate areas of uncertainty before construction begins [53]. The success of the PDRI can be measured by the outgrowths of PDRI tools for specific categories including the PDRI for sustainable building projects [54].

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 [49]. Principles of front-end planning were also established for renovation and revamp projects by CII [55, 56]. Research findings and corresponding best practices from both CII’s PDRI and work in front-end planning established the foundational elements for the created renovation versus new building support decision tool.

3.2. Criteria for Decision Support Tool

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 2 presents a description of each category and potential elements to be evaluated within the planning section. The project stakeholders will discuss each category and score their perceived level of effort for either constructing new or renovating an existing building for each individual category. For example, members using the tool will estimate if the overall level of effort for project validation, category 2, will require more effort if a new building is constructed or if the existing building is renovated.

Table 2: Planning section categories of decision support criteria.

Category 1: building use

Description
Desired functionality of the proposed building

Elements
Institutional, medical, research, food service, multimedia, recreational, office, retail, instructional, mass transit, and residential

Category 2: project validation

Description
Determining the levels of importance based on project requirements and expectations

Elements
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)

Category 3: project costs

Description
Determining the level of effort required to achieve the desired project cost

Elements
Available funding, types and sources of project funds, cost and financing, and related/resulting projects

Category 4: project schedule

Description
Assessing the level of effort required to achieve the desired project schedule

Elements
Proposed project end date, schedule milestones and deadlines, and related/resulting projects

Category 5: building considerations

Description
Assessing the level of effort required for a new building or existing building to meet size requirements

Elements
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 3 presents a description of each category and potential elements to be evaluated within the facilities management section.

Table 3: Facilities management section categories of decision support criteria.

Category 1: performance reliability

Description
Assessing the level of effort needed to accomplish optimal operational performance from the desired building

Elements
Critical systems redundancy, architectural stability, structural stability, civil stability and reliability of mechanical, and electrical and plumbing systems

Category 2: maintenance requirements

Description
Evaluating the level of effort requirements needed to meet the requirements of the maintenance

Elements
Daily occupancy loads, maximum occupancy requirements, equipment monitoring requirements, materials, finishes, commissioning plans, maintenance impact, and compatibility with existing maintenance

Category 3: design issues

Description
Considering design issues and the level of effort needed to meet these issues

Elements
Layout flexibility, design life, aesthetics, master plan compatibility, and overall size of building

Category 4: building level of service

Description
Assessing the level of performance for the desired building in terms of space planning and functionality

Elements
Outline of desired goals of building performance, an achievable level of service, and an acceptable approach to establish project criterion

Category 5: envisioned post occupancy

Description
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

Elements
Postoccupancy evaluation, retrocommissioning and perceived productivity studies, and end-of-life cycle considerations

Table 4 presents a description of each category and potential elements to be evaluated within the project requirements section.

Table 4: Project requirements section categories of decision support criteria.

Category 1: economic feasibility

Description
Assessing the cost effectiveness of the design and material alternatives for the renovation and considering items that impact the economics of the project

Elements
Overall project scope, construction material cost, construction methods, and economics of sustainable design

Category 2: evaluation of capacity

Description
Performing an assessment to determine if the desired building will meet requirements of capacity

Elements
Power, water, telecommunications, storm water, waste water, water filtration, sanitary sewer, parking areas, roads, construction access, ambulance access, and medical facilities

Category 3: existing building

Description
Rating the level of effort required to address the existing building

Elements
Layout, capacity to accommodate desires, structural grid, and structural integrity

Category 4: existing mechanical, electrical, and plumbing (MEP) systems

Description
Assessing the level of effort to address the existing mechanical, electrical, and plumbing (MEP) systems

Elements
Heating and cooling systems, large motors, thermal distribution, water heating, water cooling, lighting fixtures, lighting controls, meters, electrical circuits, and plumbing fixtures and connections

Category 5: existing exterior features

Description
Rating the level of effort to address building envelope features both for demolition and for renovation.

Elements
Windows, doors, insulation, roofing, underground utilities, embedded structures, and archeological survey

Category 6: existing interior equipment

Description
Identifying the utility impact of equipment, moveable furnishings, and desired built-ins and the resulting level of work effort required for each

Elements
Moveable furniture, kitchen equipment, medical equipment, material handling, partitions, and refurbished items

Table 5 presents a description of each category and potential elements to be evaluated within the site considerations section.

Table 5: Site considerations section categories of decision support criteria.

Category 1: initial survey of site

Description
Determining the level of effort needed to address items requiring attention in the site survey

Elements
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

Category 2: geotechnical survey

Description
Evaluating the existing geotechnical site and determining the level of work effort to improve items needing attention from survey

Elements
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

Category 3: regulatory permits

Description
Assessing the level of effort needed to meet requirements

Elements
Construction, signage, environmental, historical issues, accessibility, demolition, setback, fire, building occupancy, transportation, and antiterrorism standards

⁢Category 4: environmental impact

Description
Performing environmental assessment to define the level of effort needed to improve issues found

Elements
Archeological and environmental permits, existing contamination, ground water monitoring, existing problems, noise/vibration requirements, detention requirements, and erosion/sediment control

Category 5: worker safety

Description
Taking into account fire and life safety related items to determine the level of effort necessary to improve or implement the proper requirements

Elements
Fire monitors and hydrants, access and evacuation plan, emergency medical building availability, security considerations, and onsite medical care

Table 6 presents a description of each category and potential elements to be evaluated within the project design parameters section.

Table 6: Project design parameters section categories of decision support criteria.

Category 1: civil building design

Description
Considering the desired civil building design to determine the level of work needed to reach the design criteria

Elements
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

Category 2: interior building design

Description
Addressing the interior building design issues and recognizing the necessary level of effort to reach the desired design criteria

Elements
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

Category 3: structural characteristics

Description
Determining the structural design issues and the level of effort needed to meet the desired criteria

Elements
Structural system, foundation system, future expansion/flexibility considerations, design load parameters, corrosion control, protective coating requirements, and functional spatial constraints

Category 4: mechanical/electrical/plumbing characteristics

Description
Developing mechanical and electrical design parameters and rating the level of effort necessary to meet the desired design criteria

Elements
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

Category 5: building user safety

Description
Rating the level of work effort needed to meet all safety requirements for building operations

Elements
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 [57], the Living Building Challenge (LBC) certification [58], and the Envision Sustainable Infrastructure Rating System [59].

3.3. Renovation versus New Building Support Decision Tool

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 [52].

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 1.

Figure 1: 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 1 shows the prioritization pull-down menu. The group will then determine the level of effort for each category. The group should estimate the level of effort to decide between the following options.(1)The level of effort is equal between renovation of an existing building and new construction.(2)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.(3)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 2 presents a sample scoring tab after a group assessment. Based on the sample scoring shown, the groups should focus on renovation because the level of effort is lower.

Figure 2: Section and overall scoring summary of decision tool.

4. Results and Discussion

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 7 presents the assessment of facilities personnel for two existing renovation projects.

Table 7: Scoring summary of facilities personnel for existing construction projects.

Planning
Facilities management
Project requirements
Site considerations
Project design parameters
Overall

Building A
New construction
67
56
36
43
60
52

Renovation
33
44
64
57
40
48

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 7. The resulting level of effort score was representative of the actual decisions made by project stakeholders because both projects are renovation projects. For Building A, the level of effort was lower for all categories except project requirements and site considerations. The assessment group indicated issues of cost and state of the existing building and interior equipment led to the increased renovation level of effort scores in these categories. Likewise, all categories except site considerations were ranked with higher levels of effort for new construction than renovation for Building B. Scorers indicated that the environmental and historical issues associated with renovation required a higher level of effort than new construction. Although group members are able to modify weighting for certain criteria based on their perception of the project, the four project participants decided that all criteria were equally important and declined to modify the criteria weights. By implementing the tool for active construction renovation projects on the university campus, an external validation was executed because all project participants selected renovation as the lower amount of effort when compared to new construction. Additionally, an internal validation effort was completed on the tool by selecting each user input option individually and accessing the tool’s response. This effort affirmed the robustness of the tool’s functions and capabilities.

5. Conclusions

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.

Competing Interests

The authors declare that they have no competing interests.

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