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
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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
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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
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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
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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
Wu, L., Mohamed, E., Jafari, P., & AbouRizk, S. (2023). Machine Learning–Based Bayesian Framework for Interval Estimate of Unsafe-Event Prediction in Construction. Journal of Construction Engineering and Management, 149(11). https://doi.org/10.1061/JCEMD4.COENG-13549
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Abstract
Construction safety is a critical concern for industry and academia, and numerous models and algorithms have been developed to predict incidents or accidents to facilitate proactive decision-making. However, previous studies have been limited due to the inability to account for uncertainties because predictions are given as a single value (i.e., Yes or No) and the failure to integrate subjective judgment. To address these limitations, this research proposes a machine learning–based Bayesian framework for predicting construction incidents using interval estimates. This framework combines a state-of-the-art machine-learning algorithm with a binary Bayesian inference model to develop an incident predictor that considers a range of project characteristics and conditions. Notably, this framework also is capable of incorporating historical or subjective judgment through prior selection and outputs the unsafe event prediction as an interval of possibilities, thus accounting for various uncertainties. The efficacy of our framework was demonstrated in a real-life case study, showcasing its practical implications for proactive decision-making and risk management in the construction industry and representing a valuable contribution to the field of construction safety.
Celina Balderas Guzmán, Kevin J. Buffington, Karen M. Thorne, Glenn R. Guntenspergen, Michelle A. Hummel, Mark T. Stacey (2023). Future Marsh Evolution Due To Tidal Changes Induced by Human Adaptation to Sea Level Rise. Earth’s Future. 11(9):e2023EF003518.
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Abstract
With sea level rise threatening coastal development, decision-makers are beginning to act by modifying shorelines. Previous research has shown that hardening or softening shorelines may change the tidal range under future sea level rise. Tidal range can also be changed by natural factors. Coastal marshes, which humans increasingly depend on for shoreline protection, are ecologically sensitive to tidal range. Therefore, it is critical to examine how changes in tidal range could influence marsh processes. A marsh accretion model was used to investigate the ecological response of a San Francisco Bay, California, USA marsh to multiple tidal range scenarios and sea level rise from 2010 to 2100. The scenarios include a baseline scenario with no shoreline modifications in the estuary, a shoreline hardening scenario that amplifies the tidal range, and 14 tidal range scenarios as a sensitivity analysis that span tidal amplification and reduction of the baseline scenario. The modeling results expose key tradeoffs to consider when planning for sea level rise. Compared to the baseline, the hardening scenario shows minor differences. However, further tidal amplification prolongs marsh survival but decreases Sarcocornia pacifica cover, an important species for certain threatened wildlife and an effective attenuator of wave energy. Conversely, tidal reduction precipitates marsh drowning but shows gains in Sarcocornia pacifica cover. These mixed impacts of tidal amplification and reduction shown by the model indicate potential tradeoffs in relation to marsh survival, habitat characteristics, and shoreline protection. This study suggests the need for a cross-sectoral, regional approach to sea level rise adaptation.
Wang, Y., Hu, S., Lee, H. W., Tang, W., Shen, W., & Qiang, M. (2023). To Achieve Goal Alignment by Inter-Organizational Incentives: A Case Study of a Hydropower Project. Buildings (Basel), 13(9), 2258–. https://doi.org/10.3390/buildings13092258
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Abstract
Although the use of incentives has been widely recognized as an effective project management tool, its application still needs specific exploration. Existing research on incentives mainly focuses on intra-organizational incentives, lacking systematic research with empirical evidence from the perspective of the inter-organizational level. To fill this research gap, this study conducted an in-depth investigation into the application and impacts of inter-organizational incentives by studying a typical case of a hydropower project. In this case, a series of innovative inter-organizational incentives, involving a multiple contractual incentive scheme concerning schedule, quality, safety, as well as environmental performance, is applied. Using a mixed methodology that included a document review, a questionnaire survey, and interviews, this case study revealed that inter-organizational incentives could effectively help promote goal alignment, stimulate cooperative inter-organizational relationships, and improve project performance. This research developed a novel classification of inter-organizational incentives and emphasized the importance of non-contractual and informal incentives, which were ignored in previous research. The results further highlight that while incentivized organizations generally value incentives according to their monetary intensity, their prioritization of goals is determined by various factors. Therefore, to achieve project goal alignment, the optimization of incentive schemes should comprehensively consider a variety of influencing factors rather than merely focusing on monetary intensity. These findings will help both academic researchers and industrial practitioners design and execute effective inter-organizational incentives for superior project performance, especially for those projects that pursue high sustainable performance with safety and environmental performance included.
Keywords
inter-organizational incentive; inter-organizational relationship; multiple incentive; motivation; goal alignment; relational contracting; contractual incentive; environment incentive; environment performance; project performance
Sho, K., Chen, Y.-L., & Oshima, K. T. (2023). Alternative gentrification: coexistence of traditional and new industries in historic districts through transfer of development rights in Dihua Street, Taiwan. International Journal of Heritage Studies : IJHS, 1–16. https://doi.org/10.1080/13527258.2023.2250776
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Abstract
The transfer of development rights (TDR) has been widely used in the preservation of historic districts. The Dihua Street TDR (DS-TDR) in Taipei, Taiwan, successfully preserves the exteriors of historic buildings and traditional landscape in Dihua Street, without significant displacement of previous residents or increases in rents. This study describes this process as 'alternative gentrification', which facilitates the coexistence of traditional and new industries in historic districts, unlike typical gentrification in other cities. Although new shops gradually replace existing shops, the rent level remains relatively affordable compared with other shopping streets in the Taipei city centre. These aspects enable the coexistence of a clustering of new creative-industrial stores and existing stores within the buildings restored and landscaped by the DS-TDR.
Keywords
Historic district; transfer of development rights; historic buildings; restoration; landscaping; Commercial Gentrification; Heritage; Displacement; TDR; Urbanization; Conservation; Neighborhood; Culture; State
Wang, Y., & Shen, Q. (2023). An economic analysis of incorporating new shared mobility into public transportation provision. Transport Policy, 141, 263–273. https://doi.org/10.1016/j.tranpol.2023.07.025
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Abstract
Transit agencies in the US have shown great interests in the possibility of incorporating on-demand shared mobility modes into their fixed-route transit services. However, the cost-effectiveness of on-demand modes has not been clearly demonstrated, and there lacks an effective method for transit agencies to compare the costs of different service provision options. This study develops an economic-theory-based framework that appropriately conceptualizes the total economic cost of incorporating on-demand modes into transit. Based on the theoretical framework, a simulation model is built to operationalize an approach for evaluating the cost-effectiveness of transit-supplementing, on-demand mobility services. We demonstrate the applicability of this approach using Via to Transit program in the Seattle region. By accounting for both the service provider's cost and the users' cost, we obtain a more complete and accurate measure for the cost advantages of the on-demand modes in this case in comparison to expanding fixed-route transit, where the total economic cost for the on-demand mode is 22% lower than the fixed route transit. The theoretical framework and the simulation model can support the decision-making of public transit agencies as they explore incorporating mobility on demand to supplement traditional transit.
Keywords
Public transit; On-demand shared mobility; Marginal cost; Generalized travel cost; Transportation simulation
Kim, M., Zhao, X., Kim, Y.-W., & Rhee, B.-D. (2023). Blockchain-enabled supply chain coordination for off-site construction using Bayesian theory for plan reliability. Automation in Construction, 155, 105061–. https://doi.org/10.1016/j.autcon.2023.105061
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Abstract
The potential of blockchain is being widely explored within the construction industry, particularly for transparent communication and information sharing. However, only limited research has focused on implementing blockchain to address the challenge of aligning conflicting interests among independent agents, specifically, supply chain coordination. This paper develops a blockchain-enabled supply chain coordination system that facilitates the alignment of diverse decisions made by stakeholders in an off-site construction supply chain. To achieve this goal, Bayesian updating is employed to estimate the probabilistic distribution of plan reliability, enabling the calculation of a supplier rebate that incentivizes the contractor to schedule deliveries aimed at minimizing joint supply chain costs. Additionally, the paper describes a blockchain-enabled system that allows practitioners to measure plan reliability. The research findings demonstrate that the blockchain-enabled supply chain coordination system fosters shared common knowledge among project stakeholders and facilitates real-time updates of changes in the contractor's plan reliability, aligning the interests of both the supplier and contractor.
Keywords
Supply chain coordination; Bayesian updating; Plan reliability; Rebate pricing; Blockchain; Smart contracts; Off-site construction