Measuring the accessibility of emergency shelters based on an improved two-step floating catchment area model by Yongyang Xu, Chiyu Zhou, Bin Hu

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Enhancing first- and last-mile connectivity: A study of bike-sharing and ferry service integration in New York city by AmirMohammad Banisharif-Dehkordi, Ali Asghar Alesheikh, Mohammad Sharif

“…To address the limitations of traditional distance metrics in capturing real-world urban travel patterns, the study employs the shortest bike network distance derived from the GraphHopper Application Programming Interface (API) as the weight matrix within a Multi-head Graph Attention Network (MGAT) model for accurate bike-sharing demand prediction. …”
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A novel ant colony inspection scheme for satellite integrated smart grid by Meng Li, Ting Lyu, Chao Guo, Fuhong Lin

“…To address the inefficiencies, complexities, and high expenses associated with traditional manual inspections, a pre-clustering traveling salesman problem model is developed alongside an unmanned aerial vehicle inspection strategy based on an enhanced ant colony algorithm. …”
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Evaluation model for rural–urban fire service resource imbalance: A county-level perspective by Xiao Lei, Dingli Liu, Diping Yuan, Weijun Liu, Yuan Zeng

“…Three variables—population density, demand points, and average travel time—are used to calculate the imbalance coefficient. …”
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DISCO: Efficient Diffusion Solver for large-scale Combinatorial Optimization problems by Hang Zhao, Kexiong Yu, Yuhang Huang, Renjiao Yi, Chenyang Zhu, Kai Xu

“…While some research has adopted diffusion models, these methods sample solutions indiscriminately from the entire NP-complete solution space with time-consuming denoising processes, limiting scalability for large-scale problems. …”
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On the Application of Probabilistic Route Choice Models to Urban Rail Transit Networks Containing Small-Scale OD Trip Data by Wei Zhu, Changyue Xu, Amr M. Wahaballa, Wenbo Fan, Seham Hemdan

“…Modeling passenger route choices is crucial for analyzing and predicting public transportation demand. …”
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Adaptive hydrogen fuel cell vehicle scheduling strategy based on traffic state assessment in power-transportation coupled networks by Yizhen Huang, Haiteng Han, Zhinong Wei, Bei Yang, Chuanshen Wu, Yizhou Zhou, Guoqiang Sun

“…Building on this foundation, an adaptive hydrogen scheduling model is developed. HFCVs are influenced by the hydrogen price adjustments, leading them to travel to different MGs for refueling, which in turn regulates the unit output of the MMG system. …”
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Estimating CO2 emissions due to present and future suborbital space tourism industry. by Angela M Huang, Yangyang Xu

“…The model is based on basic physical principles and fundamental kinetics of the launching and landing phases. …”
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Planning for gold: identifying opportunities for public transport interventions through machine learning and appraisal automation by David Arquati, Liam McGrath

“…Current transport planning approaches to addressing connectivity problems rely on trial-and-error approaches to identify problems and generate options, limited by planners' incomplete knowledge and the overwhelming volume of available travel data.We introduce a machine-assisted approach to identify opportunities for connectivity enhancements from origin-destination data and generate prioritised intervention options. …”
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Transport equity assessment based on accessibility disparities in terms of multi-job opportunities across Beijing by Zhengbing Liu, Zhonglei Yu

“…Disadvantaged areas with high population demands for jobs exhibited lower accessibility levels by public transport compared to car travel, and more of the low-education groups were located in disadvantaged areas and obtained fewer opportunities, particularly for the groups without Hukou status. …”
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Smart mobility as sustainable mobility: Application to the agglomeration of Fez in Morocco by Mohammed Mouhcine MAAROUFI, Laila STOUR, Ali AGOUMI

“…Thus, sustainable mobility contributes to development and responds to the travel demands of present generations without compromising the ability of future generations to meet their own needs [2]. …”
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Optimization of Train Operation Plans for Urban Rail Transit Based on Platform Crowding Degree by WANG Yeliu, LIU Yong, LIANG Ye

“…In order to enhance passenger travel experience, align transportation capacities with demands, and alleviate platform overcrowding at metro stations, this paper proposes a methodology for optimizing train operation plans based on platform crowding degree in rail transit systems, as a result of studies focusing on optimizing multi-route train operation plans based on historical passenger flow demands and automatically scheduling multi-route train operation for these systems. …”
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