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The summer of 2023 highlighted the growing threat of wildfires in isolated areas, with Maui Island in Hawaii experiencing one of its largest wildfires. Our study employs a multi-source approach, integrating high-resolution optical data, thermal infrared data, and demographic information to assess the environmental, built, and social impacts of this event. Our innovative tri-environmental framework reveals significant vegetation degradation, land cover change, and disproportionate effects on various demographic groups. The fire caused extensive damage, with residential properties incurring 77.6% of the total losses, equating to approximately $563.2 million. Social impacts were profound, particularly among females, children, and the elderly, with employment and commuting disruptions affecting both low- and high-income groups. The study highlights the effectiveness of combining dasymetric mapping with real-time satellite data to refine population distribution estimates in affected areas. Our findings are applicable beyond wildfires, offering valuable insights into disaster response and mitigation strategies across various natural hazards like floods and earthquakes. [ABSTRACT FROM AUTHOR]

With the acceleration of urbanization, there is an urgent need to build more transportation facilities to alleviate travel pressure. However, during the construction of a subway station, a large amount of muck is generated and must be transported to a treatment center. In response to transportation policies, this paper establishes a regional and time-limited transportation model for muck trucks based on their departure time points. The model aims to dispatch the least number of vehicles and complete all transportation tasks as quickly as possible, taking into account constraints such as restricted travel time. This paper uses the NSGA-II algorithm with multi-segment encoding to solve this problem, and numerical experiments are conducted to analyze the performance of the proposed method. The results indicate that the improved algorithm has better convergence and distribution than the standard NSGA-II. The study also validates the effectiveness of the proposed method through a real-world example of muck transportation at subway stations in a specific city. The collaborative scheduling schemes developed through the methods proposed in this paper have effectively avoided the travel restriction period, providing managers with multiple decision-making options. [ABSTRACT FROM AUTHOR]