Article
Computer Science, Software Engineering
Melissa Kremer, Brandon Haworth, Mubbasir Kapadia, Petros Faloutsos
Summary: Multi-agent simulations are useful for predictive planning and analysis of pedestrian movement in arbitrary environments. This study explores distracted behaviors, such as walking and texting, and demonstrates that even accounting for a few of these behaviors significantly alters the flow patterns of simulated agents, impacting crowd behavior and statistics.
Article
Thermodynamics
Guang Hu, Martin Schoenball, Wilfried Pfingsten
Summary: Machine learning-assisted modelling can improve the safe operation of deep geological repositories (DGR). In this study, a ML-assisted 3D heat transport model for a mock-up DGR tunnel was developed and validated with experimental data. The results demonstrate the effectiveness of ML in predicting temperature evolution and identifying faulty sensor data. Rating: 9/10
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Operations Research & Management Science
Kerim U. Kizil, Baris Yildiz
Summary: With the development of urbanization and e-commerce, traditional last-mile delivery systems are unable to meet the demand. This paper proposes a new last-mile delivery model that combines various new approaches and technologies to provide low-cost and environmentally friendly express delivery service.
TRANSPORTATION SCIENCE
(2023)
Article
Operations Research & Management Science
Kerim U. Kizil, Baris Yildiz
Summary: This paper proposes a new last-mile delivery model that combines several new approaches and technologies to address the limitations of traditional delivery systems. By utilizing public transit, automated service points, crowd-shipping, and zero-emission vehicles, the model provides a low-cost and environmentally friendly express delivery service. The proposed system is formulated as a two-stage stochastic program and solved using a branch-and-price algorithm. Computational studies and simulations with real-world data show the effectiveness of the suggested methodology in providing valuable managerial insights for the proposed system.
TRANSPORTATION SCIENCE
(2023)
Article
Medicine, General & Internal
Jing Li, Chunfang Wang, Luanqi Ruan, Shan Jin, Chuchu Ye, Huiting Yu, Weiping Zhu, Xiling Wang
Summary: This study utilized Bayesian modeling with prior information to estimate the disease burden of influenza in Shanghai from 2010 to 2017. It was found that influenza A(H3N2) virus was associated with higher mortality and hospitalization rates, and was more severe compared to other influenza viruses. Targeted influenza prevention and control strategies for the elderly population in Shanghai may significantly reduce the disease burden.
Article
Engineering, Civil
Jesper Blafoss Ingvardson, Mikkel Thorhauge, Sigal Kaplan, Otto Anker Nielsen, Sebastian Raveau
Summary: The study suggests that latent variables have significant impact on commute mode choice, with higher bicycle use correlated with positive cycling self-concepts and driving choice associated with positive car self-concepts. Functional difficulties in driving have a negative influence on commute choice, and individuals with a focus on functional travel needs are more likely to commute by car.
Article
Economics
Kingsley Offiaeli, Firat Yaman
Summary: The study successfully reduced train waiting times by up to 6.6% by changing passenger behaviors on the platform, especially during peak traffic hours. This intervention method showed a high cost-saving return of 6 pounds per 1 pound investment.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Green & Sustainable Science & Technology
Marianne Vanderschuren, Robert Cameron, Alexandra Newlands, Herrie Schalekamp
Summary: South Africa has a high Gini Coefficient and unequal transportation system. In Cape Town, transit deserts are primarily caused by limited formal public transport supply, partially mitigated by informal public transportation.
Article
Business
Yilin Wang, Mengqiu Cao, Yuqi Liu, Runing Ye, Xing Gao, Liang Ma
Summary: This study explores the effects of public transport equity on public transport quality, public participation, and public transport-related policies using She-nyang as a case study. The findings suggest that improving public transport quality, public participation, and relevant policies play a significant role in reducing public transport inequity. Additionally, public participation has positive influences on public transport quality and policy-making.
RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT
(2022)
Article
Engineering, Civil
Wuttipong Kusonkhum, Korb Srinavin, Narong Leungbootnak, Tanayut Chaitongrat
Summary: The aim of this research is to create a machine learning model for forecasting passenger demand in the Metropolitan Rapid Transit (MRT) system in Thailand. By collecting data from the Purple Line stations and using various analysis methods, it was found that the artificial neural network has a high predicting accuracy.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Multidisciplinary Sciences
Muhammad Adam Norrulashikin, Fadhilah Yusof, Nur Hanani Mohd Hanafiah, Siti Mariam Norrulashikin
Summary: The increasing trend in the number of new influenza cases each year is concerning, particularly in Malaysia. This study successfully forecasted monthly influenza cases using a hybrid ARIMA-SVR model, with SVR linear kernel showing the best performance among the comparator models.
Article
Economics
Min Dai, Yanwei Jia, Steven Kou
Summary: This paper introduces the Bayesian truth serum (BTS) survey design based on a Bayesian learning framework to reduce bias in the simple majority rule. Two estimators are proposed and shown to be consistent within the BTS framework under different regularity conditions, with simulations and real data demonstrating their effectiveness.
JOURNAL OF ECONOMETRICS
(2021)
Article
Geography
Bahram Saeidian, Abbas Rajabifard, Behnam Atazadeh, Mohsen Kalantari
Summary: This research aims to extend CityGML to support underground cadastral survey data by integrating underground survey data with legal and physical data in a 3D digital environment. The proposed extension provides an improved representation of survey elements, facilitating the management and communication of underground cadastral survey data.
TRANSACTIONS IN GIS
(2023)
Article
Engineering, Civil
Xiao-Cheng Liao, Wei-Neng Chen, Xiao-Qi Guo, Jinghui Zhong, Xiao-Min Hu
Summary: The increasing population density in public places has created a need for urgent attention to safety concerns through effective crowd management. The utilization of fences to guide crowd movement has become a widely adopted approach to alleviate congestion in congested scenarios such as peak-hour subway stations. This paper presents a method that combines crowd simulation and management, focusing on optimizing the fence layout for efficient crowd guidance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Economics
Gail Helen Broadbent, Cameron Ian Allen, Thomas Wiedmann, Graciela Isabel Metternicht
Summary: Transitioning to passenger battery electric vehicles can mitigate climate change impacts of road transportation. Government policy support, including infrastructure investment and vehicle rebates, is crucial to accelerate the share of electric vehicles in new car sales and achieve 100% new electric car sales. Ongoing charging infrastructure investment is also critical for achieving net zero greenhouse gas emissions.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Multidisciplinary Sciences
Lara Gosce, David A. W. Barton, Anders Johansson
SCIENTIFIC REPORTS
(2014)
Article
Infectious Diseases
L. Gosce, J. Bitencourt, R. K. Gupta, S. Arruda, L. C. Rodrigues, I Abubakar
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2019)
Editorial Material
Infectious Diseases
Eskild Petersen, Martin Rao, Giuseppe Ippolito, Gina Gualano, Jeremiah Chakaya, Francine Ntoumi, David Moore, Rhiannon Allen, Katherine Gaskell, Joanna Nederby Ohd, Maria-Pia Hergens, Sriram Krishnamoorthy, Cesar Ugarte-Gil, Daniela E. Kirwan, Isobella Honeyborne, Timothy D. McHugh, Claudio U. Koser, Katharina Kranzer, Simon Tiberia, Giovanni Battista Migliori, Qiang Mao, Yahong Yang, Simoni P. Oliveira, Rosilene F. Cardoso, Anne Detjen, Ben Marais, David de Gijsel, C. Fordham von Reyn, Lara Gosce, Ibrahim Abubakar, Markus Maeurer, Alimuddin Zumla
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2019)
Article
Multidisciplinary Sciences
Lara Gosce, Joanne R. Winter, Graham S. Taylor, Joanna E. A. Lewis, Helen R. Stagg
SCIENTIFIC REPORTS
(2019)
Article
Public, Environmental & Occupational Health
M. Burman, A. Copas, D. Zenner, V Hickson, L. Gosce, D. Trathen, R. Ashcroft, A. R. Martineau, I Abubakar, C. Griffiths, H. Kunst
Article
Infectious Diseases
Lara Gosce, Andrew Phillips, P. Spinola, Rishi K. Gupta, Ibrahim Abubakar
JOURNAL OF INFECTION
(2020)
Article
Infectious Diseases
J. Surey, H. R. Stagg, T. A. Yates, M. Lipman, P. J. White, A. Charlett, L. Munoz, L. Gosce, M. X. Rangaka, M. Francis, V. Hack, H. Kunst, I. Abubakar
Summary: The pilot trial in the UK compared the effectiveness of weekly rifapentine/isoniazid regimen with daily rifampicin/isoniazid regimen in treating latent tuberculosis infection. The study found similar completion rates and adverse event profiles between the two regimens.
BMC INFECTIOUS DISEASES
(2021)
Article
Infectious Diseases
Lara Gosce, Enrico Girardi, Kasim Allel, Daniela Maria Cirillo, Lucia Barcellini, Giovanna Stancanelli, Alberto Matteelli, Hassan Hagphrast-Bidgoli, Ibrahim Abubakar
Summary: In the European Union region, over a quarter of individuals diagnosed with tuberculosis [TB] are born outside of the area, and this proportion has been steadily increasing. Italy, a country with low TB incidence, has over 50% of TB cases in the foreign-born population due to high numbers of migrants entering the country. Active TB screening in newly arrived migrants is a cost-effective intervention to ensure early diagnosis and reduce the spread of TB in areas with migrants arriving from high TB risk settings.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2021)
Letter
Respiratory System
Rishi K. Gupta, Swaib A. Lule, Maria Krutikov, Lara Gosce, Nathan Green, Jo Southern, Ambreen Imran, Robert W. Aldridge, Heinke Kunst, Marc Lipman, William Lynn, Helen Burgess, Asif Rahman, Dee Menezes, Ananna Rahman, Simon Tiberi, Peter J. White, Ibrahim Abubakar
EUROPEAN RESPIRATORY JOURNAL
(2021)
Editorial Material
Infectious Diseases
Alimuddin Zumla, Jeremiah Chakaya, Mishal Khan, Razia Fatima, Christian Wejse, Seif Al-Abri, Greg J. Fox, Jean Nachega, Nathan Kapata, Michael Knipper, Miriam Orcutt, Lara Gosce, Ibrahim Abubakar, Tumaini Joseph Nagu, Ferdinand Mugusi, Alice Kizny Gordon, Sivakumar Shanmugam, Nathan Lloyd Bachmann, Connie Lam, Vitali Sintchenko, Frauke Rudolf, Farhana Amanullah, Richard Kock, Najmul Haider, Marc Lipman, Michael King, Markus Maeurer, Delia Goletti, Linda Petrone, Aashifa Yaqoob, Simon Tiberi, Lucica Ditiu, Suvanand Sahu, Ben Marais, Assiya Marat Issayeva, Eskild Petersen
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2021)
Article
Biochemical Research Methods
Lara Gosce, Gerard J. Abou Jaoude, David J. Kedziora, Clemens Benedikt, Azfar Hussain, Sarah Jarvis, Alena Skrahina, Dzmitry Klimuk, Henadz Hurevich, Feng Zhao, Nicole Fraser-Hurt, Nejma Cheikh, Marelize Gorgens, David J. Wilson, Romesh Abeysuriya, Rowan Martin-Hughes, Sherrie L. Kelly, Anna Roberts, Robyn M. Stuart, Tom Palmer, Jasmina Panovska-Griffiths, Cliff C. Kerr, David P. Wilson, Hassan Haghparast-Bidgoli, Jolene Skordis, Ibrahim Abubakar
Summary: The Optima TB tool aims to support analytical capacity and inform evidence-based priority setting processes for TB health benefits package design. It has been applied in countries like Belarus to demonstrate the potential impact of reallocating spending across existing and new interventions on TB outcomes.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Proceedings Paper
Mathematics, Interdisciplinary Applications
Lara Gosce, Anders Johansson
CONFERENCE ON PEDESTRIAN AND EVACUATION DYNAMICS 2014 (PED 2014)
(2014)