Mooney, Stephen J.; Bobb, Jennifer F.; Hurvitz, Philip M.; Anau, Jane; Theis, Mary Kay; Drewnowski, Adam; Aggarwal, Anju; Gupta, Shilpi; Rosenberg, Dori E.; Cook, Andrea J.; Shi, Xiao; Lozano, Paula; Moudon, Anne Vernez; Arterburn, David. (2020). Impact of Built Environments on Body Weight (The Moving to Health Study): Protocol for a Retrospective Longitudinal Observational Study. Jmir Research Protocols, 9(5).
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Abstract
Background: Studies assessing the impact of built environments on body weight are often limited by modest power to detect residential effects that are small for individuals but may nonetheless comprise large attributable risks. Objective: We used data extracted from electronic health records to construct a large retrospective cohort of patients. This cohort will be used to explore both the impact of moving between environments and the long-term impact of changing neighborhood environments. Methods: We identified members with at least 12 months of Kaiser Permanente Washington (KPWA) membership and at least one weight measurement in their records during a period between January 2005 and April 2017 in which they lived in King County, Washington. Information on member demographics, address history, diagnoses, and clinical visits data (including weight) was extracted. This paper describes the characteristics of the adult (aged 18-89 years) cohort constructed from these data. Results: We identified 229,755 adults representing nearly 1.2 million person-years of follow-up. The mean age at baseline was 45 years, and 58.0% (133,326/229,755) were female. Nearly one-fourth of people (55,150/229,755) moved within King County at least once during the follow-up, representing 84,698 total moves. Members tended to move to new neighborhoods matching their origin neighborhoods on residential density and property values. Conclusions: Data were available in the KPWA database to construct a very large cohort based in King County, Washington. Future analyses will directly examine associations between neighborhood conditions and longitudinal changes in body weight and diabetes as well as other health conditions.
Keywords
Residential Location Choice; Physical-activity; Risk-factors; Food Desert; Neighborhood; Obesity; Association; Outcomes; Bmi; Accelerometer; Electronic Health Records; Built Environment; Washington; Geography; Longitudinal Studies
Zou, Tianqi; Khaloei, Moein; Mackenzie, Don. (2020). Effects of Charging Infrastructure Characteristics on Electric Vehicle Preferences of New and Used Car Buyers in the United States. Transportation Research Record, 2674(12), 165 – 175.
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Abstract
The used car market is a critical element for the mass adoption of electric vehicles (EVs). However, most previous studies on EV adoption have focused only on new car markets. This article examines and compares the effects of charging infrastructure characteristics on the preferences for EVs among both new and used car buyers. This study is based on an online stated preference choice experiment among private car owners in the U.S., and the results of comparable binomial logistic models show that new and used car buyers generally share similar patterns in preferences for EVs, with exceptions for sensitivity toward fast charging time, and home charging solutions. Respondents' stated willingness to adopt an EV increases considerably with improvements in driving range, and the effects on new and used car buyers are similar. The study also finds that better availability of charging infrastructure largely increases preference for EVs. The results further reveal that slow and fast charging have complementary effects on encouraging EV adoption as the combination of public slow and fast charging can compensate for the unavailability of home charging.
Anderson, Anne; Dossick, Carrie Sturts; Osburn, Laura. (2020). Curriculum To Prepare AEC Students for BIM-Enabled Globally Distributed Projects. International Journal Of Construction Education & Research, 16(4), 270 – 289.
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Abstract
Globalization and the increasing adoption of BIM and other technologies in the AEC industry have changed the way we prepare graduates for the digital workplace. This paper presents curriculum design where students from five universities worked together to develop design and construction proposals. This paper describes a collaborative project executed in two parts. Part I included the University of Washington in the USA and IIT-Madras in India. Part II included Washington State University in the USA, and National Taiwan University and National Cheng Kung University in Taiwan. Students from these global universities worked on a multi-disciplinary, interdependent project where teams created 3D models and 4D construction simulations. This curriculum addresses ACCE and ABET accreditation requirements regarding multi-disciplinary teams, ethical and professional responsibilities in global, economic, environmental, and societal contexts, and effective teamwork. In this paper, we describe the course design, evaluative criteria, and lessons learned. We found that it was important to emphasize BIM Execution Planning for distributed teams given that communication and coordination can be challenging across time zones and cultural differences. Working through technical challenges of exchanging BIM data, the students learned coordination skills in a globally distributed team environment that simulated real work experiences. [ABSTRACT FROM AUTHOR]; Copyright of International Journal of Construction Education & Research is the property of Routledge 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
College Curriculum; Project Management; Digital Technology; Work Environment; Globalization; Bim; Building Information Modeling; Digital Literacy; Distributed Teams; Global Collaboration
Hua, Chunlin; Huang, Shih-Kai; Lindell, Michael K.; Yu, Chin-Hsien. (2020). Rural Households’ Perceptions and Behavior Expectations in Response to Seismic Hazard in Sichuan, China. Safety Science, 125.
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Abstract
This study analyzed data from 663 rural households in the city of Jiangyou, Sichuan, China to examine the correlations of expectations of taking nine indoor seismic hazard response actions to a hypothetical earthquake with preparedness efforts, risk perceptions, and information reliance. The results indicate that respondents expect to rely on TV and local authorities as their principal sources of earthquake information. Respondents have greater expectations of infrastructure disruptions than property damage and casualties. In addition, they have greater expectations of taking some alternative actions, such as running outside of the building and helping others, than recommended in-place protective actions such as drop, cover, and hold. However, some erroneous actions, such as protecting property and ignoring the threat, are the least likely. Furthermore, regression analyses indicated that risk perceptions, together with some demographic characteristics and earthquake experience, are significant predictors of recommended in-place protective actions and helping others, whereas evacuation is related to higher risk perceptions. Unsurprisingly, respondents having previous seismic damage experience tend to be concerned about property protection and, similarly, those having fewer years of education are more likely to ignore the threat. This study also found that residents expect to rely on different channels to receive information before and after an earthquake. Nonetheless, respondents expect to engage in similar patterns of behavior during and after an earthquake. The results of this study indicate a need for greater dissemination of earthquake information in such rural areas to increase residents' risk perceptions and, in turn, understanding of appropriate emergency responses.
Keywords
Seismic Response; Risk Perception; Households; Sensory Perception; Property Damage; Sichuan Sheng (china); Information Reliance; Protective Actions; Risk Perceptions; Seismic Hazard; Climate-change; Hurricane Evacuation; Earthquake; Preparedness; Adjustment; Education; Injuries; Communication; Intentions
Mooney, Stephen J.; Hurvitz, Philip M.; Moudon, Anne Vernez; Zhou, Chuan; Dalmat, Ronit; Saelens, Brian E. (2020). Residential Neighborhood Features Associated with Objectively Measured Walking Near Home: Revisiting Walkability Using the Automatic Context Measurement Tool (ACMT). Health & Place, 63.
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Abstract
Many distinct characteristics of the social, natural, and built neighborhood environment have been included in walkability measures, and it is unclear which measures best describe the features of a place that support walking. We developed the Automatic Context Measurement Tool, which measures neighborhood environment characteristics from public data for any point location in the United States. We explored these characteristics in home neighborhood environments in relation to walking identified from integrated GPS, accelerometer, and travel log data from 681 residents of King Country, WA. Of 146 neighborhood characteristics, 92 (63%) were associated with walking bout counts after adjustment for individual characteristics and correction for false discovery. The strongest built environment predictor of walking bout count was housing unit count. Models using data-driven and a priori defined walkability measures exhibited similar fit statistics. Walkability measures consisting of different neighborhood characteristic measurements may capture the same underlying variation in neighborhood conditions.
Keywords
Built-environment; Physical-activity; Transit; Density; Obesity; Weight; Time; Gps; American Community Survey; Epa Walkability Index; Neighborhood Environment-wide Association; Study; Walking Bouts
Baganz, Gösta; Proksch, Gundula; Kloas, Werner; Wolf Lorleberg; Baganz, Daniela; Staaks, Georg; Lohrberg, Frank. (2020). Site Resource Inventories – A Missing Link in the Circular City’s Information Flow. Advances In Geosciences, 54, 23-32.
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Abstract
A circular city builds upon the principles of circular economy, which key concepts of reduce, reuse, recycle, and recover lead to a coupling of resources: products and by-products of one production process become the input of another one, often in local vicinity. However, sources, types and available quantities of underutilised resources in cities are currently not well documented. Therefore, there is a missing link in the information flow of the circular city between potential users and site-specific data. To close this gap, this study introduces the concept of a site resource inventory in conjunction with a new information model that can manage the data needed for advancing the circular city. A core taxonomy of terms is established as the foundation for the information model: the circular economy is defined as a network of circular economy entities which are regarded as black boxes and connected by their material and energy inputs and outputs. This study proposes a site resource inventory, which is a collection of infrastructural and building-specific parameters that assess the suitability of urban sites for a specific circular economy entity. An information model is developed to manage the data that allows the entities to effectively organise the allocation and use of resources within the circular city and its material and energy flows. The application of this information model was demonstrated by comparing the demand and availability of required alternative resources (e.g. greywater) at a hypothetical site comprising a commercial aquaponic facility (synergistic coupling of fish and vegetables production) and a residential building. For the implementation of the information model a proposal is made which uses the publicly available geodata infrastructure of OpenStreetMap and adopts its tag system to operationalise the integration of circular economy data by introducing new tags. A site resource inventory has the potential to bring together information needs and it is thus intended to support companies when making their business location decisions or to support local authorities in the planning process.
Keywords
Digital Mapping; Economics; By Products; Aquaponics; Economic Conditions; Fish; Spatial Data; Consumers; Food; Infrastructure; Energy Flow; Greywater; Information Flow; Biogas; Consumption; Residential Buildings; Taxonomy; Data; Resources; Sustainable Development; Urban Areas; Cities; Coupling
Huang, M.; Simonen, K. (2020). Comparative Environmental Analysis of Seismic Damage in Buildings. Journal Of Structural Engineering, 146(2).
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Abstract
In studying the environmental impacts of buildings, earthquake hazards are rarely considered, but their environmental impacts can be significant. This case study paper demonstrates how the US Federal Emergency Management Agency's Performance Assessment Calculation Tool (PACT) can be used to analyze the environmental impacts of buildings using probabilistic seismic hazard assessment. PACT was used to evaluate 10 case study buildings that varied by five types of lateral systems and two risk categories. For each building, PACT generated 1,000 realizations at five earthquake intensities. The resulting environmental impacts were analyzed according to their distribution, median, and average values, and the differences among building component types, risk categories, and lateral force-resisting systems were explored. In this study, building components that were categorized under Exterior Enclosures, Interior Finishes, and Heating, Ventilation, and Air-Conditioning (HVAC) produced notably higher environmental impacts in response to seismic damage, and their vulnerability to displacement- or acceleration-induced damage could be attributed to the characteristics of the lateral systems. Although these observations are notable, they should not be taken as universally applicable to all buildings. Instead, these findings exemplify how the environmental impact results from PACT can be analyzed and interpreted to address both the seismic and environmental aspects of building design. (C) 2019 American Society of Civil Engineers.
Keywords
Impact
Muni, Kennedy; Kobusingye, Olive; Mock, Charles; Hughes, James P.; Hurvitz, Philip M.; Guthrie, Brandon. (2020). Motorcycle Taxi Programme Increases Safe Riding Behaviours Among Its Drivers In Kampala, Uganda. Injury Prevention, 26(1), 5 – 11.
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Abstract
Background SafeBoda is a motorcycle taxi company that provides road safety training and helmets to its drivers in Kampala, Uganda. We sought to determine whether SafeBoda drivers are more likely to engage in safe riding behaviours than regular drivers (motorcycle taxi drivers not part of SafeBoda). Methods We measured riding behaviours in SafeBoda and regular drivers through: (1) computer-assisted personal interview (CAPI), where 400 drivers were asked about their riding behaviours (eg, helmet and mobile phone use) and (2) roadside observation, where riding behaviours were observed in 3000 boda-boda drivers and their passengers along major roads in Kampala. Results Across the two cross-sectional studies, a higher proportion of SafeBoda drivers than regular drivers engaged in safe riding behaviours. For instance, helmet use among SafeBoda compared with regular drivers was 21% points higher (95% CI 0.15 to 0.27; p<0.001) based on the CAPI and 45% points higher (95% CI 0.43 to 0.47; p<0.001) based on roadside observation. Furthermore, compared with regular drivers, SafeBoda drivers were more likely to report having a driver's license (66.3% vs 33.5 %; p<0.001) and a reflective jacket (99.5% vs 50.5 %; p<0.001) and were less likely to report driving towards oncoming traffic (4% vs 45.7 %; p<0.001) in the past 30 days. Conclusion The SafeBoda programme is associated with increased safe riding behaviours among motorcycle taxi drivers in Kampala. Therefore, the promotion and expansion of such programmes may lead to a reduction in morbidity and mortality due to road injuries.
Keywords
Multiple-imputation; Helmet Use; Knowledge; Injuries; Riders
Bautista-Hernández, Dorian. (2020). Urban Structure and its Influence on Trip Chaining Complexity in the Mexico City Metropolitan Area. Urban, Planning And Transport Research, 8(1), 71 – 97.
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Abstract
This project studies the relationship between the urban structure of the Mexico City Metropolitan Area (MCMA) and two aspects of commuter travel patterns: (1) number of stops in a tour and (2) complexity of trip chaining. Two regression models were explored, one for each dependent variable of interest. The analysis was applied for car drivers, transit users and travelers with mixed transportation separately. Covariates include individual, household, travel and urban form variables, which showed differential effects according to the transportation mode. According to the number of significant covariates, it can be said that there is less impact of urban form on trip generation and complexity of travel for car drivers (only mixed land use at destination being significant for complexity of travel) and mixed transportation (being only significant job access for complexity of travel) than for transit users (being significant job access, population density, mixed land use at origin for extra trip, number of trips and complexity of travel). The directions of these effects vary according to the transportation mode and are discussed in terms of reported literature.
Keywords
Trip Generation; Urban Structures; Chaining; Drivers; Population Density; Land Use; Regression Analysis; Regression Models; Transportation; Travel; Complexity; Automobile Drivers; Metropolitan Areas; Travel Patterns; Urban Areas; Dependent Variables; Mexico
Ianchenko, Alex; Simonen, Kathrina; Barnes, Clayton. (2020). Residential Building Lifespan and Community Turnover. Journal Of Architectural Engineering, 26(3).
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Abstract
Environmental impact studies within the built environment rely on predicting building lifespan to describe the period of occupation and operation. Most life cycle assessments (LCAs) are based on arbitrary lifespan values, omitting the uncertainties of assessing service life. This research models the lifespan of American residential housing stock as a probabilistic survival distribution based on available data from the American Housing Survey (AHS). The log-normal, gamma, and Weibull distributions were fit to demolition data from 1985 to 2009 and these three models were compared with one another using the Bayesian information criterion. Analysis revealed that the estimated average housing lifespan in the United States is 130 years given model assumptions, although a probabilistic approach to lifespan can yield higher accuracy on a case-by-case basis. Parameters for modeling housing lifespan as log-normal, gamma, and Weibull survival functions are published with the intent of further application in LCA. The application of probabilistic housing lifespan models to community-wide turnover and integration with existing simulations of natural disaster are proposed as potential ways to achieve community sustainability and resilience goals. (c) 2020 American Society of Civil Engineers.
Keywords
Energy-consumption; Service Life; Cycle; Demolition; Emissions; Design; Impact; Model; Housing Stock Lifetime; Residential Buildings; Housing Turnover; Life Cycle Assessment; Service Life Prediction