We investigate regional features nearby the subway station using the clustering method called the funFEM and propose a two-step procedure to predict a subway passenger transport flow by incorporating the geographical information from the cluster analysis to functional time series prediction. A massive smart card transaction dataset is used to analyze the daily number of passengers for each station in Seoul Metro. First, we cluster the stations into six categories with respect to their patterns of passenger transport. Then, we forecast the daily number of passengers with respect to each cluster. By comparing our predicted results with the actual number of passengers, we demonstrate the predicted number of passengers based on the clustering results is more accurate in contrast to the result without considering the regional properties. The result from our data-driven approach can be applied to improve the subway service plan and relieve infectious diseases as we can reduce the congestion by controlling train intervals based on the passenger flow. Furthermore, the prediction result can be utilized to plan a 'smart city' which seeks shorter commuting time, comfortable ridership, and environmental sustainability.
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http://dx.doi.org/10.1038/s41598-022-06767-7 | DOI Listing |
Sci Rep
January 2025
College of Computer & Information Engineering, Xiamen University of Technology, Xiamen, 361024, China.
A balanced and equitable bus network layout plays a crucial role in the efficient operation of cities. The layout of urban bus networks is influenced by various factors, including urban planning, population size, industrial distribution, and road network layout. Forming a comprehensive indicator system and analyzing the balance and fairness of bus network layouts are key research areas.
View Article and Find Full Text PDFEnviron Int
January 2025
School of Environmental & Natural Sciences, Bangor University, Bangor LL57 2UW, UK; Verily Life Sciences LLC., South San Francisco, CA 94080, United States.
With 40 million annual passenger flights, airports are key hubs for microbial communities from diverse geographic origins to converge, mix, and distribute. Wastewater derived from airports and aircraft represent both a potential route for the global dispersion of antimicrobial resistant (AMR) organisms and an under-utilised resource for strengthening global AMR surveillance. This study investigates the abundance and diversity of antimicrobial resistance genes (ARGs) in wastewater samples collected from airport terminals (n = 132), aircraft (n = 25), and a connected wastewater treatment plant (n = 11) at three international airports in the UK (London Heathrow, Edinburgh and Bristol).
View Article and Find Full Text PDFSci Rep
January 2025
Institute of Transport Planning Research, China Railway Design Corporation, Tianjin, China.
Generally, to address the resource management issues in high-speed railway operations, particularly in the context of large-scale networked high-speed train transportation organizations, a phased optimization approach is introduced. This approach divides the problem into two stages: the high-speed train timetabling and the planning of Electric Multiple Unit (EMU) route. The lack of direct integration between these stages has hindered the flexible and efficient utilization of line capacity and EMU resources based on large-scale network, limiting the potential for mutual compensation and coordination among different types of resources across different regions.
View Article and Find Full Text PDFWater Res
January 2025
Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia. Electronic address:
The post-pandemic world still faces ongoing COVID-19 infections, although international travel has returned to pre-pandemic conditions. Wastewater-based epidemiology (WBE) is considered an efficient tool for the population-wide surveillance of COVID-19 infections during the pandemic. However, the performance of WBE in post-pandemic era with travel restrictions lifted remains unknown.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Computer and Information Systems, The University of Aizu, Aizuwakamatsu 965-8580, Fukushima, Japan.
In the current era of advanced IoT technology, human occupancy monitoring and positioning technology is widely used in various scenarios. For example, it can optimize passenger flow in public transportation systems, enhance safety in large shopping malls, and adjust smart home devices based on the location and number of occupants for energy savings. Additionally, in homes requiring special care, it can provide timely assistance.
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