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Alessandro Rasulo, Sofia Nardoianni, Azzurra Evangelisti and Mauro D?Apuzzo
Transportation networks are one of the most vulnerable civil infrastructures during an earthquake and an estimation of traffic impacts in the post-earthquake scenario is a crucial aspect in the context of risk assessment and evaluation of remedial measur...
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Zhimin Yang, Xiangzhao Yan, Yutong Tian, Zaohong Pu, Yihan Wang, Chunhui Li, Yujun Yi, Xuan Wang and Qiang Liu
The issue of sudden water pollution resulting from accidents is a challenging environmental problem to address. The frequency of transport accidents involving hazardous materials over tributary bridges is steadily rising due to rapid industrialization an...
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Zhangcai Yin, Kuan Huang, Shen Ying, Wei Huang and Ziqiang Kang
Time geography considers that the probability of moving objects distributed in an accessible transportation network is not always uniform, and therefore the probability density function applied to quantitative time geography analysis needs to consider th...
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Essam Althaqafi and Eddie Chou
The condition of a bridge is critical in quality evaluations and justifying the significant costs incurred by maintaining and repairing bridge infrastructures. Using bridge management systems, the department of transportation in the United States is curr...
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Tamara Alshaikhli, Wen Liu and Yoshihisa Maruyama
The extraction of roads and centerlines from aerial imagery is considered an important topic because it contributes to different fields, such as urban planning, transportation engineering, and disaster mitigation. Many researchers have studied this topic...
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Joongmin Cho, Young-Joo Lee, Seongkwan Mark Lee, Ki Han Song and Wonho Suh
Highway systems play a key role in providing mobility to society, especially during emergency situations, including earthquakes. Bridges in highway systems are susceptible to damage from earthquakes, causing traffic capacity loss leading to a serious imp...
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Sungsik Yoon, Jeongseob Kim, Minsun Kim, Hye-Young Tak and Young-Joo Lee
Post-hazard flow capacity of the lifeline network and recovery strategy against natural disaster.
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Liang Zhou, Shaohua Wang and Zhibang Xu
The outcomes for emergency medical services (EMS) are highly dependent on space-time accessibility. Prior research describes the location of EMS needs with low accuracy and has not integrated a temporal analysis of the road network, which accounts for va...
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Chao Li, Huimei Lu, Yong Xiang and Rui Gao
Geospatial information is gaining immense interest and importance as we enter the era of highly developed transportation and communication. Despite the proliferation of cellular network and WiFi, on some occasions, users still face barriers to accessing ...
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Hongyan Xu, Xiu Su, Yi Wang, Huaiyu Cai, Kerang Cui and Xiaodong Chen
Concrete bridge crack detection is critical to guaranteeing transportation safety. The introduction of deep learning technology makes it possible to automatically and accurately detect cracks in bridges. We proposed an end-to-end crack detection model ba...
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