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Exploring time allocation patterns for daily activities through a discrete choice modeling approach

International Journal of Transportation Science and Technology 2025年

作者： Guo, Yan He, Brian Yueshuai Department of Systems Engineering Cornell University IthacaNY14853 United States Department of Civil and Environmental Engineering University of Louisville LouisvilleKY40292 United States

This study examines human daily mobility patterns by analyzing activity duration choices through discrete choice models, offering insights into travel behaviors across diverse geographic and cultural contexts in the U.S. Using data from the 2023 American Time Use Survey (ATUS), we assessed activity time allocation across six states: California, New York, Pennsylvania, Texas, Illinois, and Florida. By estimating multiple segmented Multinomial Logit Models, we explored how activity types and socio-economic factors influence time allocation decisions. Our findings reveal substantial regional variability in activity durations, with extended periods (120 + minutes) preferred for work and leisure, while brief durations were largely avoided. Dining patterns exhibited more variability, with coastal states favoring moderate durations (30–60 min) and inland states showing more evenly distributed preferences. The pandemic years (2020–2022) prompted notable shifts in work and leisure patterns, particularly in Florida, while dining preferences shifted towards shorter durations, especially in coastal states. This study highlights the importance of context-specific analyses, emphasizing the need for models that capture regional differences in behavior. Our findings suggest significant implications for transportation planning and policy, providing valuable insights for improving travel demand forecasting and facilitating associated infrastructure. © 2025 Tongji University and Tongji University Press

关键词： Activity patterns Activity time allocation patterns American Time Use Survey Discrete Choice Model

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Sharing Economy in Local Energy Markets

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Journal of Modern Power systems and Clean Energy 2023年第3期11卷 714-726页

作者： Zhaoyuan Wu Jianxiao Wang Haiwang Zhong Feng Gao Tianjiao Pu Chin-Woo Tan Xiupeng Chen Gengyin Li Huiru Zhao Ming Zhou Qing Xia School of Economics and Management North China Electric Power UniversityBeijing 102206China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China National Engineering Laboratory for Big Data Analysis and Applications Peking UniversityBeijing 100871China State Key Lab of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Industrial Engineering and Management College of EngineeringPeking UniversityBeijing 100871China China Electric Power Research Institute Beijing 100192China Department of Civil and Environmental Engineering Stanford UniversityPalo AltoCA 94305USA Engineering and Technology Institute Groningen University of Groningen9742 AG Groningenthe Netherlands

With an increase in the electrification of end-use sectors,various resources on the demand side provide great flexibility potential for system operation,which also leads to problems such as the strong randomness of power consumption behavior,the low utilization rate of flexible resources,and difficulties in cost *** the core idea of“access over ownership”,the concept of the sharing economy has gained substantial popularity in the local energy market in recent ***,we provide an overview of the potential market design for the sharing economy in local energy markets(LEMs)and conduct a detailed review of research related to local energy sharing,enabling technologies,and potential *** paper can provide a useful reference and insights for the activation of demand-side flexibility ***,this paper can also provide novel insights into the development and further integration of the sharing economy in LEMs.

关键词： Energy sharing flexibility potential local energy market information and communication technology sharing economy

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Cerium-tungsten oxides supported on activated red mud for the selective catalytic reduction of NO_(x)

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Green Energy & Environment 2023年第1期8卷 173-182页

作者： Qiuzhun Chen Dong Wang Chuan Gao Bin Wang Shengli Niu Gaiju Zhao Yue Peng Junhua Li Chunmei Lu John Crittenden National Engineering Laboratory for Coal-Burning Pollutants Emission Reduction School of Energy and Power EngineeringShandong UniversityJinan250061China State Key Joint Laboratory of Environment Simulation and Pollution Control National Engineering Laboratory for Multi Flue Gas Pollution Control Technology and EquipmentSchool of EnvironmentTsinghua UniversityBeijing100084China Brook Byers Institute for Sustainable Systems and School of Civil and Environmental Engineering Georgia Institute of Technology828 West Peachtree StreetAtlantaGA30332United States Energy Institute Qilu University of Technology(Shandong Academy of Sciences)Jinan250013ShandongChina

Activated red mud(RM)has been proved to be a promising base material for the selective catalysis reduction(SCR)of *** inherent low reducibility and acidity limited its low-temperature *** this work,molybdenum oxide,tungsten oxide,and cerium oxide were used to reconfigure the redox sites and acid sites of red mud based *** activated red mud was reconfigured by cerium-tungsten oxide(Ce-W@RM),the NOx conversion kept above 90%at 219-480℃.The existence of Ce^(3+)/Ce^(4+) redox electron pairs provided more surface adsorbed oxygen(O_(α)) and served as a redox *** interactions between Ce,W species and Fe oxide in red mud occurred,which led to the formation of unsaturated chemical bond and promoted the activation of adsorbed NH_(3) ***_(3) and Ce_(2)(WO_(4))_(3)(formed by solid-state reaction between Ce and W species)could provide more Brønsted acid sites(W-O modes of WO_(3),W=O or W-O-W modes of Ce_(2)(WO_(4))_(3)).CeO_(2) species could provide more Lewis acid *** Langmuir-Hinshelwood(L-H)routes and Eley-Rideal(E-R)routes occurred in the low-temperature SCR reaction on the Ce-W@RM ***_(4)^(+) species on Brønsted acid sites,NH_(3) species on Lewis acid sites,bidentate nitrate and bridging nitrate species were key active intermediates species.

关键词： Air pollution control NOx Selective catalytic reduction Cerium Tungsten

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Accelerated System-Reliability-based Disaster Resilience Analysis for Structural systems

arXiv

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arXiv 2024年

作者： Kim, Taeyong Yi, Sang-Ri Department of Civil Systems Engineering Ajou University Suwon Korea Republic of Department of Civil and Environmental Engineering University of California Berkeley Berkeley United States

Resilience has emerged as a crucial concept for evaluating structural performance under disasters because of its ability to extend beyond traditional risk assessments, accounting for a system's ability to minimize disruptions and maintain functionality during recovery. To facilitate the holistic understanding of resilience performance in structural systems, a system-reliability-based disaster resilience analysis framework was developed. The framework describes resilience using three criteria: reliability (β), redundancy (π), and recoverability (γ), and the system's internal resilience is evaluated by inspecting the characteristics of reliability and redundancy for different possible progressive failure modes. However, the practical application of this framework has been limited to complex structures with numerous sub-components, as it becomes intractable to evaluate the performances for all possible initial disruption scenarios. To bridge the gap between the theory and practical use, especially for evaluating reliability and redundancy, this study centers on the idea that the computational burden can be substantially alleviated by focusing on initial disruption scenarios that are practically significant. To achieve this research goal, we propose three methods to efficiently eliminate insignificant scenarios: the sequential search method, the n-ball sampling method, and the surrogate model-based adaptive sampling algorithm. Three numerical examples, including buildings and a bridge, are introduced to prove the applicability and efficiency of the proposed approaches. The findings of this study are expected to offer practical solutions to the challenges of assessing resilience performance in complex structural systems. Copyright © 2024, The Authors. All rights reserved.

关键词： Adaptive algorithms

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Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction 4

Historical Ink: 19th Century Latin American Spanish Newspape...

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4th International Conference on Natural Language Processing for Digital Humanities, NLP4DH 2024

作者： Manrique-Gómez, Laura Montes, Tony Rodríguez-Herrera, Arturo Manrique, Rubén History and Geography Department Universidad de los Andes D.C. Bogotá Colombia Systems and Computing Engineering Department Universidad de los Andes D.C. Bogotá Colombia Civil and Environmental Engineering Department Rice University HoustonTX United States

ISBN: (纸本)9798891761810

This paper presents two significant contributions: First, it introduces a novel dataset of 19th-century Latin American newspaper texts, addressing a critical gap in specialized corpora for historical and linguistic analysis in this ***, it develops a flexible framework that utilizes a Large Language Model for OCR error correction and linguistic surface form detection in digitized *** semi-automated framework is adaptable to various contexts and datasets and is applied to the newly created dataset. © 2024 Association for Computational Linguistics.

关键词： Computational linguistics

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Pandemic wave trends in COVID-19 cases, mobility reduction, and climate parameters in major metropolitan areas in the United States

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Environment systems and Decisions 2022年第3期42卷 350-361页

作者： Pagsuyoin, Sheree A. Salcedo, Gustavo Santos, Joost R. Skinner, Christopher B. Department of Civil and Environmental Engineering University of Massachusetts Lowell Lowell 01854 MA United States Engineering Systems & Management Engineering George Washington University Washington DC United States Environmental Earth and Atmospheric Sciences University of Massachusetts Lowell Lowell MA United States

In this paper, we analyzed the association among trends in COVID-19 cases, climate, air quality, and mobility changes during the first and second waves of the pandemic in five major metropolitan counties in the United States: Maricopa in Arizona, Cook in Illinois, Los Angeles in California, Suffolk in Massachusetts, and New York County in New York. These areas represent a range of climate conditions, geographies, economies, and state-mandated social distancing restrictions. In the first wave of the pandemic, cases were correlated with humidity in Maricopa, and temperature in Maricopa and Los Angeles. In Suffolk and New York, cases were correlated with mobility changes in recreation, grocery, parks, and transit stations. Neither cases nor death counts were strongly correlated with air quality. Periodic fluctuations in mobility were observed for residential areas during weekends, resulting in stronger correlation coefficients when only weekday datasets were included in the analysis. We also analyzed case-mobility correlations when mobility days were lagged, and found that the strongest correlation in the first wave occurred between 12 and 14 lag days (optimal at 13 days). There was stronger but greater variability in correlation coefficients across metropolitan areas in the first pandemic wave than in the second wave, notably in recreation areas and parks. In the second wave, there was less variability in correlations over lagged time and geographic locations. Overall, we did not find conclusive evidence to support associations between lower cases and climate in all areas. Furthermore, the differences in cases-mobility correlation trends during the two pandemic waves are indicative of the effects of travel restrictions in the early phase of the pandemic and gradual return to travel routines in the later phase. This study highlights the utility of mobility data in understanding the dynamics of disease transmission. It also emphasizes the criticality of timeline and loc

关键词： Air quality Climate COVID-19 Metropolitan Mobility Pandemic wave

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Inspection of Reinforced Concrete Damage Level Using Acoustic Wave Sound Analysis with Applying AI Diagnosis Techniques

Inspection of Reinforced Concrete Damage Level Using Acousti...

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International Conference on Building Materials, ICBM 2024

作者： Phannakham, Nopphanan Hashimoto, Katsufumi Sato, Yasuhiko Ueda, Naoshi Division of Field Engineering for the Environment Graduate School of Engineering Hokkaido University Sapporo Japan Division of Civil Engineering Faculty of Engineering Hokkaido University Sapporo Japan Department of Civil and Environmental Engineering Waseda University Tokyo Japan Department of Urban Systems Engineering Faculty of Environmental and Urban Engineering Kansai University Osaka Japan

ISBN: (纸本)9789819628094

Over the past century, infrastructure has undergone rapid progress, particularly in the construction of reinforced concrete structures. Consequently, health monitoring plays a significant role in assessing structural conditions. Visual inspection and tapping technique (hammering test) became widely trendy due to its simplicity and economy. Nonetheless, several challenges exist, especially in the difficulty of interpreting test results. Hammering tests can determine the size or location of material discontinuities. However, when the structure becomes more diverse and complex, such as concrete structures with steel bars inside, an acoustic wave of tapping sound by hammering test produces chaotic reflections and resonances. This study endeavors to conduct research and development on the evaluation of results in tapping sound by hammering methods. The objective is to utilize Artificial Intelligence (AI) to learn and diagnose the data, thereby compensating for the shortage of experts and minimizing errors. Reinforced concrete beams 2 m in length with a square cross-section of 0.2 m were subjected to electrochemical acceleration technique to induce corrosion of steel bars. Unsupervised deep learning was implemented to learn the complex dimensional hammering test results based on various perspectives of characteristic acoustic wave sounds. The results demonstrate that in comparison to the intact stage, this technique effectively provides an index of abnormality in echo wave patterns correlated with crack propagation and reinforcement damage levels. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Concrete buildings

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Ensemble learning framework for landslide susceptibility mapping:Different basic classifier and ensemble strategy

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Geoscience Frontiers 2023年第6期14卷 170-190页

作者： Taorui Zeng Liyang Wu Dario Peduto Thomas Glade Yuichi S.Hayakawa Kunlong Yin Institute of Geological Survey China University of GeosciencesWuhan 430074China ENGAGE—Geomorphic Systems and Risk Research Department of Geography and Regional ResearchUniversity of Vienna1010 ViennaAustria Faculty of Engineering China University of GeosciencesWuhanChina Department of Civil Engineering University of Salerno84084 SalernoFiscianoItaly Faculty of Environmental Earth Science Hokkaido UniversityHokkaido 060-0810Japan

The application of ensemble learning models has been continuously improved in recent landslide susceptibility research,but most studies have no unified ensemble ***,few papers have discussed the applicability of the ensemble learning model in landslide susceptibility mapping at the township *** study aims at defining a robust ensemble framework that can become the benchmark method for future research dealing with the comparison of different ensemble *** this purpose,the present work focuses on three different basic classifiers:decision tree(DT),support vector machine(SVM),and multi-layer perceptron neural network model(MLPNN)and two homogeneous ensemble models such as random forest(RF)and extreme gradient boosting(XGBoost).The hierarchical construction of deep ensemble relied on two leading ensemble technologies(i.e.,homogeneous/heterogeneous model ensemble and bagging,boosting,stacking ensemble strategy)to provide a more accurate and effective spatial probability of landslide *** selected study area is Dazhou town,located in the Jurassic red-strata area in the Three Gorges Reservoir Area of China,which is a strategic economic area currently characterized by widespread landslide *** on a long-term field investigation,the inventory counting thirty-three slow-moving landslide polygons was *** results show that the ensemble models do not necessarily perform better;for instance,the Bagging based DT-SVM-MLPNNXGBoost model performed worse than the single XGBoost *** the eleven tested models,the Stacking based RF-XGBoost model,which is a homogeneous model based on bagging,boosting,and stacking ensemble,showed the highest capability of predicting the landslide-affected ***,the factor behaviors of DT,SVM,MLPNN,RF and XGBoost models reflected the characteristics of slow-moving landslides in the Three Gorges reservoir area,wherein unfavorable lithological conditions and intense human engineering activitie

关键词： Three Gorges Reservoir Area Landslide susceptibility mapping Ensemble learning framework Uncertainty research

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An approach to assess sediment disaster risk using soil moisture deficit: A case study about sediment disasters occurred during 2010-2011 in Niigata prefecture, Japan 9

An approach to assess sediment disaster risk using soil mois...

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9th International Conference on Flood Management, ICFM 2023

作者： Lu, Minjiao Ogura, Takahiro Zin, Thandar Tun Oka, Shigeaki Onitsuka, Shun-Ichi Kawamura, Naoaki Yamamoto, Takahiro Komiyama, Koichi Department of Civil and Environmental Systems Nagaoka University of Technology Nagaoka940-0041 Japan Tokyo Electric Power Company Holdings Incorporated Tokyo100-8560 Japan Department of Civil Engineering National Institute of Technology Nagaoka College Nagaoka940-8532 Japan

Most sediment disasters are caused by surface failures, mostly induced by rainfall, and many of them cause extensive damages. Assessment of the risk of such disasters is crucial for the safety and security of society. This is becoming increasingly important in the era of global warming when torrential rains and localized heavy rains are on the increase. Instead of the index such as accumulated rainfall amount, we attempted to make a risk assessment using the soil moisture deficit, i.e., the remained capacity of the soil column to accept rainwater. First, a numerical model was developed to calculate soil moisture deficit in any or all tertiary meshes with existing routine data. The model was then applied to 446 tertiary meshes in Niigata Prefecture within which failures occurred during a period from 2010 to 2011. The model showed that the soil moisture deficit near the failure occurrence became smaller, i.e., the soil column was closer to complete saturation. This suggests that soil moisture deficit could be a good indicator of the risk. Furthermore, a probability distribution model was constructed from the minimum soil moisture deficit data near the failure occurrence. With this probability model, the threshold of soil moisture deficit to put an area on alert, corresponding to the disaster coverage ratio, can be easily calculated. The possibility of early warning is also demonstrated by combining the soil moisture deficit at a certain time with a short-time rainfall forecast for several hours in the future. Copyright © 2024 Minjiao Lu et al.

关键词： Disasters

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User-Friendly Game-Theoretic Modeling and Analysis of Multi-Modal Transportation systems

arXiv

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arXiv 2025年

作者： Zambrano, Margarita Li, Xinling Fiorista, Riccardo Zardini, Gioele Laboratory for Information and Decision Systems the Department of Civil and Environmental Engineering Massachusetts Institute of Technology United States

The evolution of existing transportation systems, mainly driven by urbanization and increased availability of mobility options, such as private, profit-maximizing ride-hailing companies, calls for tools to reason about their design and regulation. To study this complex socio-technical problem, one needs to account for the strategic interactions of the stakeholders involved in the mobility ecosystem. In this paper, we present a game-theoretic framework to model multi-modal mobility systems, focusing on municipalities, service providers, and travelers. Through a user-friendly, Graphical User Interface, one can visualize system dynamics and compute equilibria for various scenarios. The framework enables stakeholders to assess the impact of local decisions (e.g., fleet size for services or taxes for private companies) on the full mobility system. Furthermore, this project aims to foster STEM interest among high school students (e.g., in the context of prior activities in Switzerland, and planned activities with the MIT museum). This initiative combines theoretical advancements, practical applications, and educational outreach to improve mobility system design. Copyright © 2025, The Authors. All rights reserved.

关键词： Urban transportation

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