http://yetl.yabesh.ir/yetl1/handle/yetl/19022 Tue, 25 Aug 2026 21:17:17 GMT 2026-08-25T21:17:17Z https://localhost:443/yetl1/bitstream/id/435648/ http://yetl.yabesh.ir/yetl1/handle/yetl/19022 http://yetl.yabesh.ir/yetl1/handle/yetl/4314038 Spatiotemporal Modeling of Social Capital and Infrastructure Mobility Resilience during Hurricane Harvey Ding, Rong; Li, Weiyu; Lei, Zhenyu; Dong, Yushun; Li, Jundong; Wang, Qi R. AbstractNatural disasters disrupt human mobility, yet existing models often overlook the role of social capital in shaping evacuation, adaptation, and recovery. To address this gap, we develop an interpretable spatiotemporal model that integrates the ...Practical ApplicationsThis work provides an interpretable way to quantify how social capital affects disaster-time mobility and access to lifeline services. By linking mobility indicators to transportation network performance, engineers and planners can ... Thu, 01 Jan 2026 00:00:00 GMT http://yetl.yabesh.ir/yetl1/handle/yetl/4314038 2026-01-01T00:00:00Z http://yetl.yabesh.ir/yetl1/handle/yetl/4314037 Determining Impact Scores of Tweets in Turkish at Disaster Times Ozek, Oke; Kumluca Topalli, Ayca AbstractNatural disasters, particularly earthquakes, occur frequently and result in significant damage in Türkiye. Addressing the challenges that emerge in the aftermath of such events is of paramount importance. This study presents a system designed to ...This graphical abstract shows how earthquake-related tweets from Türkiye are analysed. First, they are classified by a large language model as urgent, related, and other. Then the urgent and related ones are sent to an impact calculator that produces an ...Practical ApplicationsThis study shows how social media messages can be turned into a powerful tool for disaster response. After major events such as the February 2023 earthquakes in Türkiye, thousands of tweets were shared, but it is difficult for ... Thu, 01 Jan 2026 00:00:00 GMT http://yetl.yabesh.ir/yetl1/handle/yetl/4314037 2026-01-01T00:00:00Z http://yetl.yabesh.ir/yetl1/handle/yetl/4314036 Evaluating the Impact of Climate Change on Future Flooding Extent Using HEC-HMS and HEC-RAS Models: A Case Study of the Grand and Chagrin Rivers in Northeast Ohio Joshi, Umesh; Sharma, Suresh; Jha, Aayush AbstractThis study assessed future flooding extent using Climate Model Intercomparison Project Phase 5 (CMIP5) and Phase 6 (CMIP6) climate models and provided a general overview of future flood patterns in Northeast Ohio, specifically within the Grand and ... Thu, 01 Jan 2026 00:00:00 GMT http://yetl.yabesh.ir/yetl1/handle/yetl/4314036 2026-01-01T00:00:00Z http://yetl.yabesh.ir/yetl1/handle/yetl/4314035 CNN-Based Building Type Classification into EF Scale Categories to Support Tornado Damage Assessments Kim, Jooho; Kanumuri, Ruthvik; Hatzis, Joshua J.; Park, Sunyoung; Campbell, Patrick A.; Calhoun, Kristin M. AbstractAccurate assessment of tornado impacts requires detailed information on building characteristics that influence vulnerability. This study investigates a convolutional neural network (CNN)-based approach to classify nonresidential buildings into ...Practical ApplicationsThis study shows how street-level imagery can be used to build a more detailed and up-to-date building inventory focused on commercial and industrial structure, which are often limited or generalized in national data sets such as ... Thu, 01 Jan 2026 00:00:00 GMT http://yetl.yabesh.ir/yetl1/handle/yetl/4314035 2026-01-01T00:00:00Z