Skip to content
News

Research Theme: Design & Building

Built environment scholarship at the scales of the interior space to the building

[Re]Evaluating Significance: The Environmental and Cultural Value in Older and Historic Buildings

Merlino, Kathryn Rogers. (2014). [Re]Evaluating Significance: The Environmental and Cultural Value in Older and Historic Buildings. Public Historian, 36(3), 70 – 85.

View Publication

Abstract

Traditionally the value of a building is measured through the historical, cultural, or architectural significance that has emerged from the established traditions of historic preservation policy in the United States. Although the designation of historic properties is a critical venue to save our most historically significant buildings, it does not account for those that fall outside of the established categories of significance. Accounting for the environmental value of buildings and understanding them as repositories of energy and materials repositions the way we value of the built environment for a more sustainable future.

Keywords

Adaptive Reuse; Historic Preservation; Sustainability; Cultural Preservation; Building Reuse

Evaluating the Strength of Text Classification Categories for Supporting Construction Field Inspection

Chi, Nai-wen; Lin, Ken-yu; El-Gohary, Nora; Hsieh, Shang-hsien. (2016). Evaluating the Strength of Text Classification Categories for Supporting Construction Field Inspection. Automation In Construction, 64, 78 – 88.

View Publication

Abstract

Field inspection is a common approach to the prevention of on-site accidents in the construction industry, which aims to identify and correct violations before they result in accidents. While conducting a field inspection, quite often safety professionals need to consult applicable construction safety standards. By doing so, they can make informed judgments on the violations and reference applicable standards. Text classification (TC) can be used to classify safety standards based on the types and causes of violations. Safety professionals can therefore use violation types and causes as indices to quickly locate applicable standards. Defining TC categories (or labels) is the first important step in performing TC, because satisfactory results cannot be achieved without appropriate TC categories. Researchers often determine applicable TC categories based on the important topics within a knowledge domain. However, not all TC categories can yield satisfactory TC results because some of them are not associated with strong and specific keywords that can be identified by text classifiers. This paper proposes a methodology with two strength measures for evaluating the appropriateness of candidate TC categories. The measures were tested on two alternative sets of candidate categories that were drafted for supporting construction field inspections. The results showed that the measures could accurately predict the relative TC performance and the satisfaction levels (satisfactory or unsatisfactory) of TC categories. Beyond the construction domain, this research provides a generalized procedure for evaluating the strength of candidate TC categories. (C) 2016 Elsevier B.V. All rights reserved.

Keywords

Accident Prevention; Classification; Construction Industry; Inspection; Occupational Safety; Standards; Text Classification Categories; Construction Field Inspection; On-site Accident Prevention; Violations; Safety Professionals; Construction Safety Standards; Candidate Tc Categories; Reference Applicable Standards; Information; Model; Construction Safety; Field Inspection; Text Classification

Mean-Variance Portfolio Analysis Data For Optimizing Community-Based Photovoltaic Investment

Shakouri, Mahmoud; Lee, Hyun Woo. (2016). Mean-Variance Portfolio Analysis Data For Optimizing Community-Based Photovoltaic Investment. Data In Brief, 6, 840 – 842.

View Publication

Abstract

The amount of electricity generated by Photovoltaic (PV) systems is affected by factors such as shading, building orientation and roof slope. To increase electricity generation and reduce volatility in generation of PV systems, a portfolio of PV systems can be made which takes advantages of the potential synergy among neighboring buildings. This paper contains data supporting the research article entitled: PACPIM: new decision-support model of optimized portfolio analysis for community-based photovoltaic investment [1]. We present a set of data relating to physical properties of 24 houses in Oregon, USA, along with simulated hourly electricity data for the installed PV systems. The developed Matlab code to construct optimized portfolios is also provided in Supplementary materials. The application of these files can be generalized to variety of communities interested in investing on PV systems. (C) 2016 The Authors. Published by Elsevier Inc.

Keywords

Community Solar; Photovoltaic System; Portfolio Theory; Energy Optimization; Electricity Volatility

Estimating Location-Adjustment Factors for Conceptual Cost Estimating Based on Nighttime Light Satellite Imagery

Zhang, Su; Bogus, Susan M.; Lippitt, Christopher D.; Migliaccio, Giovanni C. (2017). Estimating Location-Adjustment Factors for Conceptual Cost Estimating Based on Nighttime Light Satellite Imagery. Journal Of Construction Engineering And Management, 143(1).

View Publication

Abstract

A fundamental process in construction cost estimation is the appropriate adjustment of costs to reflect project location. Unfortunately, location adjustment factors are not available for all locations. To overcome this lack of data, cost estimators in the United States often use adjustment factors from adjacent locations, referred to as the nearest neighbor (NN) method. However, these adjacent locations may not have similar economic conditions, which limit the accuracy of the NN method. This research proposes a new method of using nighttime light satellite imagery (NLSI) to estimate location adjustment factors where they do not exist. The NLSI method for estimating location adjustment factors was evaluated against an established cost index database, and results show that NLSI can be used to effectively estimate location adjustment factors. When compared with NN and other alternative proximity-based location adjustment methods, the proposed NLSI method leads to a 25-40% reduction of the median absolute error. This work contributes to the body of knowledge by introducing a more accurate method for estimating location adjustment factors which can improve cost estimates for construction projects where location adjustment factors do not currently exist. (C) 2016 American Society of Civil Engineers.

Keywords

Construction Industry; Costing; Industrial Economics; Project Management; Remote Sensing; Location-adjustment Factors; Nighttime Light Satellite Imagery; Construction Cost Estimation; Project Location; United States; Economic Conditions; Nlsi Method; Cost Index Database; Median Absolute Error Reduction; Construction Projects; Nearest Neighbor Method; Urbanization Dynamics; Proxy; Construction Costs; Estimation; Construction Management; Pricing; Cost And Schedule

Jack Christiansen’s Cylindrical Concrete Shells

Sprague, Tyler S. (2018). Jack Christiansen’s Cylindrical Concrete Shells. Journal Of The International Association For Shell And Spatial Structures, 59(2), 131 – 140.

View Publication

Abstract

This article examines the early thin shell concrete designs of the structural engineer Jack Christiansen (1927-2017), a 2016 recipient of the Eduardo Torroja Medal. With no proper training in shell behavior, Christiansen started his career designing cylindrical concrete shells based on the 1952 American Society of Civil Engineers (ASCE) Manual 31. This manual, and its approach to solving indeterminate behavior, both directed Christiansen's early design and provided a framework for significant creative work outside its bounds. His designs of long, spanning shells and short, arching shells (between 1954 and 1958) were adapted to a variety of architectural spaces, utilizing emerging structural methods like prestressing. These designs constitute the first era of Christiansen's career, and set the stage for more varied shell geometries to come.

Keywords

Historic Structures; Concrete Shells; Cylindrical Shells; Modernism; Indeterminate Analysis Methods

Project Risk Factors Facing Construction Management Firms

Park, Kyungmo; Lee, Hyun Woo; Choi, Kunhee; Lee, Seung-hyun. (2019). Project Risk Factors Facing Construction Management Firms. International Journal Of Civil Engineering, 17(3), 305 – 321.

View Publication

Abstract

Very little is known about the project risk factors that affect construction management (CM) firms, which often struggle due to a lack of effective risk management practices. This study investigates the risk factors critical to project execution in CM firms and ranks them using the analytic hierarchy process (AHP) and failure mode and effects analysis (FMEA) methods. Interviews with executives at the top 15 Korean CM firms are carried out to identify major risk factors in the CM sector, and a survey is used to develop priority ranking. We find that payment delays and project delays are the two most critical risk factors affecting CM firms because of (1) lack of communication between headquarters and field offices, (2) shift of responsibility from headquarters to a field office, (3) absence of regular monitoring of project progress, and (4) ex-post management practices. The findings presented in this study should assist CM firms in establishing more robust risk management practices, thereby improving firms' profitability, project performance, and customer satisfaction.

Keywords

Analytic Hierarchy Process; Customer Satisfaction; Factor Analysis; Risk Assessment; Risk Management; Analytic Hierarchy Process (ahp); Construction Management; Construction Management Firms; Failure Mode And Effects Analysis; Korea; Management Practices; Risk Factors; Risk Management Practices; Industry

The Impact of Empowering Front-Line Managers on Planning Reliability and Project Schedule Performance

Kim, Yong-Woo; Rhee, Byong-Duk. (2020). The Impact of Empowering Front-Line Managers on Planning Reliability and Project Schedule Performance. Journal Of Management In Engineering, 36(3).

View Publication

Abstract

This study applies empowerment theory to production planning at the level of frontline managers in a construction project. Using structural equation modeling, we investigate how empowering frontline managers impacts their planning performance. In contrast to prior studies, we find that although psychological empowerment of frontline managers has no direct effect on their production planning reliability or scheduling performance, it has an indirect effect on planning reliability and scheduling performance, as long as the organization supports the empowerment structurally during production planning. This implies that a project manager should provide frontline managers at the operational level with proper formal and informal authority over workflow development, shielding, and resource allocation when planning production in order to enhance job performance through psychological empowerment. This study contributes to the body of knowledge on construction management by exploring the impact of psychological and structural empowerment of frontline managers on their performance of production planning reliability and scheduling performance.

Keywords

Psychological Empowerment; Work; Model; Variables; System; Job; Planning Reliability; Production Planning; Scheduling Performance; Structural Empowerment; Structural Equation Modeling

Does the Built Environment Have Independent Obesogenic Power? Urban Form and Trajectories of Weight Gain

Buszkiewicz, James H.; Bobb, Jennifer F.; Hurvitz, Philip M.; Arterburn, David; Moudon, Anne Vernez; Cook, Andrea; Mooney, Stephen J.; Cruz, Maricela; Gupta, Shilpi; Lozano, Paula; Rosenberg, Dori E.; Theis, Mary Kay; Anau, Jane; Drewnowski, Adam. (2021). Does the Built Environment Have Independent Obesogenic Power? Urban Form and Trajectories of Weight Gain. International Journal Of Obesity, 45(9), 1914 – 1924.

View Publication

Abstract

Objective To determine whether selected features of the built environment can predict weight gain in a large longitudinal cohort of adults. Methods Weight trajectories over a 5-year period were obtained from electronic health records for 115,260 insured patients aged 18-64 years in the Kaiser Permanente Washington health care system. Home addresses were geocoded using ArcGIS. Built environment variables were population, residential unit, and road intersection densities captured using Euclidean-based SmartMaps at 800-m buffers. Counts of area supermarkets and fast food restaurants were obtained using network-based SmartMaps at 1600, and 5000-m buffers. Property values were a measure of socioeconomic status. Linear mixed effects models tested whether built environment variables at baseline were associated with long-term weight gain, adjusting for sex, age, race/ethnicity, Medicaid insurance, body weight, and residential property values. Results Built environment variables at baseline were associated with differences in baseline obesity prevalence and body mass index but had limited impact on weight trajectories. Mean weight gain for the full cohort was 0.06 kg at 1 year (95% CI: 0.03, 0.10); 0.64 kg at 3 years (95% CI: 0.59, 0.68), and 0.95 kg at 5 years (95% CI: 0.90, 1.00). In adjusted regression models, the top tertile of density metrics and frequency counts were associated with lower weight gain at 5-years follow-up compared to the bottom tertiles, though the mean differences in weight change for each follow-up year (1, 3, and 5) did not exceed 0.5 kg. Conclusions Built environment variables that were associated with higher obesity prevalence at baseline had limited independent obesogenic power with respect to weight gain over time. Residential unit density had the strongest negative association with weight gain. Future work on the influence of built environment variables on health should also examine social context, including residential segregation and residential mobility.

Keywords

Body-mass Index; Physical-activity; Food Environment; Structural Racism; Obesity; Neighborhoods; Associations; Health; Walkability; Exposure; Environment Models; Minority & Ethnic Groups; Urban Environments; Regression Analysis; Regression Models; Residential Density; Body Mass Index; Property Values; Body Weight Gain; Government Programs; Body Weight; Electronic Medical Records; Electronic Health Records; Fast Food; Buffers; Real Estate; Body Mass; Body Size; Socioeconomics; Health Care

Design Of Broadband Helmholtz Resonator Arrays Using The Radiation Impedance Method.

Rajendran, Vidhya; Piacsek, Andy; Méndez Echenagucia, Tomás. (2022). Design Of Broadband Helmholtz Resonator Arrays Using The Radiation Impedance Method. Journal Of The Acoustical Society Of America, 151(1), 457 – 466.

View Publication

Abstract

This paper describes the design process of a low-frequency sound absorptive panel composed of differently tuned Helmholtz resonators (HRs), considering size and fabrication constraints relevant for applications in the building sector. The paper focuses on cylindrical and spiral resonators with embedded necks that are thin and can achieve high absorption. the mutual interaction between the resonators was modeled based on the radiation impedance method and it plays a key component in enhancing the absorption performance of the array. The differential evolution search algorithm was used to design the resonators and modify their mutual interaction to derive the absorption performance of multiple HR arrays for comparison. Optimizations to the resonator configuration and the neck resistance were implemented to produce a unit panel that has a broadband absorption performance with emphasis on the low to mid frequencies and is thin and light in weight. Unit panels with dimensions of 20 cm x 20 cm , consisting of 29 cylindrical HRs designed to absorb in the 25–900 Hz frequency range, were constructed and tested in a custom-built impedance tube. The measured absorption performance of these panels is consistent with the theoretical predictions. [ABSTRACT FROM AUTHOR]; Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Keywords

Helmholtz Resonators; Differential Evolution; Search Algorithms; Radiation; Structural Optimization; Resonators; Bandpass Filters