Abdel Aziz, A. M., & Muiruri, K. (2023). The Articulation and Current Practices of Liquidated Damages in Standard Specifications for Highways. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 15(4). https://doi.org/10.1061/JLADAH.LADR-959
View Publication
Abstract
Delayed delivery of highway infrastructure could financially hurt businesses that rely on such facilities, disrupt the public commute, and increase road user costs. For these reasons, state highway agencies (SHAs) tend to use and enforce liquidated damages (LDs) for the contractor’s failure to meet the completion times. While SHAs may have similar experiences on how their standard specifications (SSs) are structured and written, there are differences among the states on how the LDs are articulated. Further, with their requirements, SHAs need to maintain that their LDs regulations follow and account for the Code of Federal Regulations, for example, CFR.635.127. Additionally, contractors may legally challenge the LDs enforceability as unreasonable, excessive, penalty statements, or concurrently caused. This work aims to critically examine and thoroughly analyze how LDs were articulated in the SSs. For that, the LDs sections, definitions, and contract times of the standard specifications of all departments of transportation in the United States were collected, thoroughly reviewed, compared, and analyzed. With commonalities and differences among the SSs, themes of LDs current practice were identified under LDs characterization, application periods, reference times, and implementation forms. A detailed account of the particulars of each theme and practice is discussed and explained. The work provides insights for SHAs to evaluate their current LDs practice to other states’ practices to improve how LDs provisions are articulated.
Khan, A. S., Aurand, A., Hamideh, S., Vickery, J., Walter, R. J., & Errett, N. A. (2023). Assessing the roles and responsibilities of public housing authorities in state-level disaster plans. International Journal of Disaster Risk Reduction, 98, 104074–. https://doi.org/10.1016/j.ijdrr.2023.104074
View Publication
Van Den Wymelenberg, K., & Inanici, M. (2014). A Critical Investigation of Common Lighting Design Metrics for Predicting Human Visual Comfort in Offices with Daylight. Leukos, 10(3), 145–164. https://doi.org/10.1080/15502724.2014.881720
View Publication
Abstract
Existing visual comfort metrics are reviewed and critiqued based upon their ability to explain the variability in human subjective responses in a daylit private office laboratory environment. Participants (n = 48) evaluated visual comfort and preference factors, totaling 1488 discreet appraisals, and luminance-based metrics were captured with high dynamic range images and illuminance-based metrics were recorded. Vertical illuminance outperformed all commonly referenced visual comfort metrics including horizontal illuminance, IES luminance ratios, daylight glare probability (DGP), and daylight glare index (DGI). The bounded borderline between comfort and discomfort is introduced, and preliminary visual comfort design criteria are proposed for several existing metrics. Fundamental limitations of glare indices are documented, and the implications of inconsistent application of luminance ratio calculation methods are quantified. Future research is detailed.
Keywords
daylight glare; daylight metrics; luminance ratio; vertical illuminance; visual comfort
Chmielinski, M., Yost, M. G., Cohen, M., Inanici, M., & Simpson, C. D. (2023). Non-ionizing radiation modeling to predict ambient irradiance in work areas at an indoor cannabis farm. Annals of Work Exposures and Health. https://doi.org/10.1093/annweh/wxad048
View Publication
Abstract
Agricultural workers frequently experience potentially hazardous exposure to non-ionizing radiation from both solar and artificial sources, and measurement of this exposure can be expensive and impractical for large populations. This project develops and evaluates a vegetative radiative transfer model (VRTM) to predict irradiance in a grow room of an indoor cannabis farm. The model uses morphological characteristics of the crop, manufacturer provided lamp emissions data, and dimensional measurements of the grow room and cannabis hedgerows to predict irradiance. A linear regression comparing model predictions with the measurements taken by a visible light spectroradiometer had slopes within 23% of unity and R2 values above 0.88 for visible (400–700 nm), blue (400–500 nm), green (500–600 nm), and red (600–700 nm) wavelength bands. The excellent agreement between the model and the measured irradiance in the cannabis farm grow room supports the potential of using VRTMs to predict irradiance and worker exposure in agricultural settings. Because there is no mechanistic difference between visible and other non-ionizing wavelengths of radiation in regards to mechanisms of radiative transfer, the model developed herein for visible wavelengths of radiation should be generalizable to other radiation bands including infrared and ultraviolet radiation.
Keywords
horticulture; indoor; Marijuana; non-ionizing radiation; radiative transfer; UV
Ko, W. H., Schiavon, S., Altomonte, S., Andersen, M., Batool, A., Browning, W., Burrell, G., Chamilothori, K., Chan, Y.-C., Chinazzo, G., Christoffersen, J., Clanton, N., Connock, C., Dogan, T., Faircloth, B., Fernandes, L., Heschong, L., Houser, K. W., Inanici, M., … Kent, M. (2022). Window View Quality: Why It Matters and What We Should Do. Leukos, 18(3), 259–267. https://doi.org/10.1080/15502724.2022.2055428
View Publication
Nguyễn, L. T., Bostrom, A., Abramson, D. B., & Moy, P. (2023). Understanding the role of individual- and community-based resources in disaster preparedness. International Journal of Disaster Risk Reduction, 96, 103882–. https://doi.org/10.1016/j.ijdrr.2023.103882
View Publication
Abstract
Standard emergency management practice in the U.S measures disaster preparedness as an individual household attribute based on amounts of stocked supplies, hazard mitigation actions, and emergency planning. Such measures generally fail to consider how norms of trust, fairness, and reciprocity, as well as networks of social relationships—that is, social capital—can facilitate coordination and enable sharing and communal action in the face of disaster. Our study assesses how shared resources, social capital, and day-to-day resources (specifically, food and water) could influence earthquake disaster preparedness across different communities. Using Seattle as the site of investigation, the study involved a split-ballot experiment embedded in a mail survey of a random sample of households. These households were stratified by zip codes selected for their contrasting demographics (N = 1340). Half of the households in each zip code answered conventional individualistic measures of disaster preparedness, while the other half answered questions regarding resources they, their family, friends, and neighbors might share. In racial-majority-dominated zip codes, reported preparedness was higher when people were asked to consider shared resources. Disaster preparedness also appeared to be underestimated with the traditional measure. Households with greater bridging social capital (connections with individuals who differ in their social identity but who may share some similar interests) and longer neighborhood tenure also reported higher preparedness. Our findings suggest disaster preparedness efforts should focus on supplementing individual preparedness with daily resources, social capital, and collective shareable community assets—a focus that we call “mainstreaming.”
Keywords
Disaster preparedness; Social capital; Asset-based; Readiness; Resilience; Earthquakes
Idziorek, K., Abramson, D. B., Kitagawa, N., Yamamoto, T., & Chen, C. (2023). Factors Influencing Willingness to Share Resources Postdisaster: A Cross-Cultural Comparison between US and Japanese Communities. Natural Hazards Review, 24(4). https://doi.org/10.1061/NHREFO.NHENG-1836
View Publication
Abstract
When large-scale disasters occur, people often are left on their own to seek critical resources: food, water, medications, and other important items. Historically, government agencies have developed disaster preparedness strategies focused primarily on either the level of the individual or household or on the ability of government agents to provide relief to affected areas. Such approaches do not consider the potential for community members to share needed resources with one another—a crucial factor in survival when earthquakes, floods, landslides, and other disruptions to transportation and communications cut off whole communities from external aid. In this study, we used a simple random sample survey to measure households’ actual and perceived preparedness and assess individuals’ willingness to share essential resources following a large disaster using survey data gathered from three communities in the Pacific Northwest of the US (𝑁=638; overall response rate 20.1%) and Nagoya, Japan (𝑁=1,043; response rate 13.6%), two regions that expect to experience a magnitude 9.0 megaquake. Analysis of the survey data using an ordered response probit model found that the strength of social ties and levels of social trust strongly influence willingness to share in both regions. Differences between the Japanese and American responses suggest different dependencies on and roles for government agencies in the two societies, as well as differences in the types of resources that community members are willing to share, and with whom. Trust emerges as the most important factor across both study regions and for all resources. Willingness to share may be enhanced through trust-building interventions and should be regarded as an effective focus for preparedness efforts, especially if it is shown to be beneficial for a variety of social purposes.
Pan, H., Gao, Y., Shen, Q., Moudon, A. V., Tuo, J., & Habib, K. N. (2023). Does high-speed rail mitigate peak vacation car traffic to tourist city? Evidence from China. Transport Policy, 143, 93–105. https://doi.org/10.1016/j.tranpol.2023.09.011
View Publication
Abstract
Tourist travel contributes greatly to transport problems in attractive tourist cities. To take full advantage of high-speed rail (HSR) for alleviating massive car traffic during the peak vacation period, this paper analyses the travel modes of domestic visitors to Shaoxing before and after the operation of HSR. Scenario-based comparison and a random-coefficients structure Mixed Logit (MXL) model with error components were adopted to analyze the travel mode change and the factors explaining tourists’ travel mode choices. Our findings show that the HSR modal share increased substantially at the expense of express buses, more than cars. Also, HSR was found to be less competitive than cars on toll-free days for medium short travel distances. The MXL model results indicate that HSR was more likely to be used over automobiles by young people, females, and one-destination travellers, for longer travel distances, and with high service frequency to Shaoxing. Besides, online booking services were highly associated with HSR use. Driving was favoured over HSR by higher income level groups, when travelling with family or friends, on toll-free national holidays. Current government policy to waive road tolls during the peak holiday period further induced car traffic to tourist cities. When individual taste was considered, tourists showed a similar preference in their valuation of the travel time variable, while were heterogenous in their preference for low per-distance cost. Our findings suggest that the adjustment of the road-toll policy, pre-booking design for targeted tourists, and measures to reduce the total travel time of HSR should be considered to promote HSR as well as impede the use of cars during peak periods. This study offers empirical evidence of achieving effective travel demand management and reducing car dependence through HSR and complementary measures.
Keywords
High-speed rail; Tourist mode choice; Tourist travel package; Travel demand management
Yang, S., Liu, J., & Winterbottom, D. (2023). Analysis of the Dong bao Ye as sacred landscape and its Putative therapeutic mechanisms. Health & Place, 83, 103102–103102. https://doi.org/10.1016/j.healthplace.2023.103102
View Publication
Abstract
Humans have innately established close and profound ties with the, and through these relationships shaped many kinds of landscapes. Among these are sacred landscapes, which have drawn the attention of researchers due to their cultural significance. In the field of health geography, large-sized sacred regional landscapes are now the focus of studies for their therapeutic properties. However, few scholars have focused on small sacred landscape systems at the community level (constructed by local communities) or the physical and psycological health benefits that these landscapes offer to the local residents. These small-sized and widespread, but often hidden, sacred landscapes are closely tied to people's daily lives and work. They have evolved and grown over millennia to become critical sociocultural phenomena. This study takes the sacred bao ye landscape of the Dong people of China as the research subject. By adopting the case study approach, field research, semi-structured interviews, and textual analysis, it summarizes the types, geographical distribution, rituals and processes of bao ye as a sacred landscape of the Huanggang village in Guizhou Province, and concludes with an analysis of motivation and health benefits to the bao ye worship. In this paper we argue that bao ye is a sacred landscape system focusing on the healthy development of children, and constitutes a local belief developed in an isolated environment lacking medical resources, which remains in practice. The sacred landscape of bao ye offers a therapeutic environment, providing children with increased opportunities to engage with and build deep connections to nature. Thruogh this process children may develop a bond with nature that inspires them to protect nature on their own accord. We argue that bao ye offers an important case study for understanding the landscape-people healing interactivity at the community level.
Keywords
Sacred landscape; Therapeutic landscape; Dong
Shang, L., Dermisi, S., Choe, Y., Lee, H. W., & Min, Y. (2023). Assessing Office Building Marketability before and after the Implementation of Energy Benchmarking and Disclosure Policies—Lessons Learned from Major U.S. Cities. Sustainability (Basel, Switzerland), 15(11), 8883–. https://doi.org/10.3390/su15118883
View Publication
Abstract
An increasing number of U.S. cities require commercial/office properties to publicly disclose their energy performance due to the adoption of energy benchmarking and disclosure policies. This level of transparency provides an additional in-depth assessment of a building’s performance beyond a sustainability certification (e.g., Energy Star, LEED) and may lead less energy-efficient buildings to invest in energy retrofits, therefore improving their marketability. However, the research is scarce on assessing the impact of such policies on office building marketability. This study tries to fill this gap by investigating the impact of energy benchmarking policies on the performance of office buildings in four major U.S. cities (New York; Washington, D.C.; San Francisco; and Chicago). We use interrupted time series analysis (ITSA), while accounting for sustainability certification, public policy adoption, and property real estate performance. The results revealed that in some cities, energy-efficient buildings generally perform better than less energy-efficient buildings after the policy implementation, especially if they are Class A. The real estate performances of energy-efficient buildings also exhibited continuously increasing trends after the policy implementation. However, due to potentially confounding factors, further analysis is required to conclude the policy impacts on energy-efficient buildings are more positive than those on less energy-efficient buildings.
Keywords
building energy benchmarking and disclosure policies; building energy efficiency; office buildings; time series modeling