Review
Construction & Building Technology
Ruihang Xie, Sisi Zlatanova, Jinwoo Lee Brian
Summary: This paper surveys the use of three-dimensional indoor environments in pedestrian evacuation simulations and identifies the limitations and areas for future research. The findings highlight the need for enriching semantics, investigating 3D geometry, and fostering standardization of 3D indoor environments to enhance the realism of simulations.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Geosciences, Multidisciplinary
Xintong Li, Hang Yu, Han Xu, Xiangxia Ren, Weiguo Song, Jun Zhang
Summary: This paper studies the characteristics of pedestrian flow in water through evacuation experiments. The flow rate in water is lower than that on land, with a threshold width of 1.3 m for the transition from interrupted to flowing stages. In water, stop behavior is more frequent, the speed near the exit is slower, and a wider exit is required to achieve similar continuity compared to land. These findings provide valuable insights into emergency management during flood evacuation.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Geosciences, Multidisciplinary
Busra Celikbas, Duygu Tufekci-Enginar, Gozde Guney Dogan, Cagil Kolat, Marzia Santini, Alessandro Annunziato, Ocal Necmioglu, Ahmet Cevdet Yalciner, Mehmet Lutfi Suzen
Summary: Historical records and recent events reveal that the western coast of Turkey is threatened by tsunamis due to active seismicity in the Eastern Mediterranean Sea. The most recent tsunami events in the region highlight the need for disaster mitigation plans to include tsunamis for cities near the Eastern Mediterranean and connected seas. This study calculates pedestrian evacuation times for the vulnerable coastal district of Bodrum, using selected worst-case scenarios and a least-cost distance model.
Article
Mathematics, Applied
Huan Ren, Yuyue Yan, Fengqiang Gao
Summary: This study investigates the effects of guiding strategies on evacuation efficiency using a force-driven cellular automaton model. By controlling pedestrian densities around the exits, unbalanced pedestrian distribution can be suppressed. Additionally, density control in certain regions can have a global effect on balancing pedestrians and improving evacuation efficiency.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Environmental Studies
Jin Zuo, Jikang Shi, Chen Li, Tong Mu, Yun Zeng, Jing Dong
Summary: This study focused on improving emergency evacuation effectiveness in high-density urban areas under limited land resources, using cyclic evacuation simulation, evaluation, and optimization, along with facility location tool and urban renewal planning. The results showed significant improvements in pedestrian evacuation efficiency through these integrated methods.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2021)
Article
Geosciences, Multidisciplinary
Jingming Hou, Guangzhao Chen, Yangwei Zhang, Bingyao Li, Shaoxiong Yang, Yu Tong, Dawei Zhang, Deyu Fu
Summary: A numerical model was used to simulate flood flow patterns on staircases with different slopes to assess the risks of pedestrian evacuation. Results showed that pedestrians could safely evacuate underground spaces under certain conditions, but serious threats occurred when the staircase slope exceeded a certain value. It is recommended that pedestrians choose a gentle staircase for evacuation during flooding.
Article
Physics, Fluids & Plasmas
M. Ramirez, B. A. Toledo, F. Torres, J. Rogan, J. A. Valdivia, P. Correa-Burrows
Summary: Collective motion is an inherent ability of all living systems, dependent on physiological and psychological factors in humans. Through a cellular automaton simulation model, it is shown that emergency evacuation from a two-dimensional corridor with optimal stress can lead to quicker evacuation times and efficient mass evacuations. Low stress levels can decrease evacuation times by agents choosing alternative paths and displaying cooperative behavior, making a combination of mild and optimal stress effective for evacuations. Furthermore, cellular automaton simulations can be utilized to identify safer and more efficient mass evacuation strategies.
Article
Physics, Multidisciplinary
Yanghui Hu, Yubo Bi, Xiangxia Ren, Shenshi Huang, Wei Gao
Summary: Academic studies have shown that obstacles at the exit can improve evacuation efficiency. However, managers are skeptical of this strategy due to implementation challenges. This article presents experimental findings that a stationary pedestrian obstacle in front of the exit slightly reduces evacuation efficiency but significantly improves safety by reducing congestion.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Gen Yang, Tiejun Zhou, Mingxi Peng, Zhigang Wang, Dachuan Wang
Summary: This paper establishes the typical forms of central retail district (CRD) road networks in China and studies the synergy of network density, network connectivity, road type, and road width on pedestrian evacuation efficiency. The results indicate that networks with wide pedestrian primary roads, medium secondary roads, and high density have the highest evacuation efficiency. From the perspective of evacuees, the paper proposes urban design implications for improving the capacity of CRD road networks for disaster prevention and reduction.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Economics
Andres Sevtsuk, Rounaq Basu
Summary: This paper examines the influence of path length and turns on pedestrian route choice. The findings indicate that turns are dependent on the spatial properties of street networks, while distance has a consistently larger effect. Only in specific street networks can turns alone explain route choice behavior. Therefore, in considering route selection, turns and other environmental qualities of a route should be taken into account in addition to distance.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Engineering, Civil
Jincheng Jiang, Wei Tu, Hui Kong, Wei Zeng, Rui Zhang, Milan Konecny
Summary: Mass gathering events in urban regions often result in traffic congestion and safety risks. This study proposes a multi-modal transport evacuation model for urban mass gathering events, which improves the overall evacuation efficiency by optimizing the coordination between different transportation tools.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Krisztina Konya, Anna Sieben
Summary: Research has shown that pedestrian dynamics involving temporary gatherings of strangers are often considered highly individualized encounters with minimal social interactions. However, recent research suggests that social identity plays a significant role in crowd dynamics. This paper presents the findings of an experiment that explores the social phenomena of anonymous encounters, demonstrating the influence of communication and conformity on behavior in such situations.
ROYAL SOCIETY OPEN SCIENCE
(2023)
Article
Engineering, Aerospace
R. D. Strauss, Nigussie M. Giday, Ephrem B. Seba, Daniel A. Chekole, Gemechu F. Garuma, Bereket H. Kassa, Teshome Dugassa, C. Diedericks
Summary: We discuss a newly established neutron monitor station in Ethiopia, which can detect individual neutrons and calculate waiting time distribution. A new quantity called the correlation ratio is proposed as a proxy for the spectral index of atmospheric particles incident on the monitor. The ENTOTO mini-neutron monitor measurements are expected to contribute to the understanding of cosmic ray acceleration and transport.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Pengfei Zhang, Dianjie Lu, Guijuan Zhang, Wei Gong, Hong Liu
Summary: Research on pedestrian movement is important for public safety management and safe evacuation strategies. Current pedestrian movement models cannot simulate emotional differences, and sensor-based pedestrian movement simulation lacks research. This article proposes a sensor-based pedestrian movement simulation and evacuation method using image sensors and an emotional perception model. An emotional difference-based pedestrian movement model is constructed, and a personalized path planning method considering emotional differences is designed. Experimental results show improved simulation effect and evacuation efficiency.
IEEE SENSORS JOURNAL
(2023)
Article
Psychology, Applied
Zixin Cui, Xiangling Zhuang, Wenxiang Chen, Guojie Ma
Summary: This study investigated the effect of feedback frequency of countdown progress bar in traffic light on time estimation. The results showed that lower feedback frequency led to shorter estimated duration, with slight changes in different contexts. This study has practical implications on the display design of red light and theoretical implications on time estimation processes.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Computer Science, Information Systems
Meng Huang, Zhixiang Fang, Robert Weibel, Tao Zhang, Haosheng Huang
Summary: Digital billboards have become increasingly popular as a new form of outdoor advertising due to their innovative way of control over when and where specific ads appear. This study proposes three optimization models to meet advertising needs, which were successfully tested in a case study in Wuxue, China. The research shows that the proposed models are effective in providing an optimal solution for digital billboard configuration with a greater coverage of the target audience and environment.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Xinyan Zou, Zhixiang Fang, Shengwu Xiong
Summary: In this study, the discrete multi-objective particle swarm algorithm was improved to solve the assignment problem of supermarket resources to urban residential communities during epidemic control. The new strategies introduced aimed to achieve optimal balance between minimizing cross-infection risk and maximizing service coverage rate. The PSO-DE algorithm proposed showed better optimization performance in both objectives compared to other algorithms like GA, SA, ACO, and PSO-R.
APPLIED SOFT COMPUTING
(2021)
Article
Green & Sustainable Science & Technology
Tao Liu, Xing Zhang, Huan Zhang, Nadeem Tahir, Zhixiang Fang
Summary: An indoor signal mapping approach is proposed in this study, which utilizes structure landmarks to estimate the location of fingerprints extracted from unknown signal mapping routes. Experimental results show that the accuracy of landmark recognition model is higher than 90%, with an average matching accuracy and location error of signal mapping routes at 96% and 1.2 m respectively.
Article
Environmental Studies
Hongchu Yu, Zhixiang Fang, Xiuju Fu, Jingxian Liu, Jinhai Chen
Summary: Ship voyage optimization is critical for efficient shipping operations, requiring bridging the gaps between stakeholders' expectations and actual ship operations, thoroughly investigating factors affecting fuel consumption, and integrating various aspects such as cargo operations, emissions, and emission control regulations. The literature on ship voyage optimization is expanding with the development of green maritime transport, and this paper reviews the latest research on emission control-driven voyage optimization to identify current trends and future research directions.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Telecommunications
Zhixiang Fang, Lubin Wang, Fan Yang, Fangli Guan
Summary: Through experiments and model construction, this study demonstrates that using one or two popular landmarks can significantly reduce the time needed for young students to orient themselves, and the classification model performs well in selecting popular landmarks.
JOURNAL OF LOCATION BASED SERVICES
(2022)
Article
Engineering, Civil
Hongchu Yu, Alan T. Murray, Zhixiang Fang, Jingxian Liu, Guojun Peng, Mohammad Solgi, Weilong Zhang
Summary: This study aims to optimize unmanned ship routes using geographical theory and methodologies to enhance the safety and efficiency of maritime transportation. Automatic collision avoidance and compliance with maritime traffic rules remain challenges, but the development of unmanned ships will promote the future growth of intelligent ports.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Geography, Physical
Fangli Guan, Zhixiang Fang, Lubin Wang, Xucai Zhang, Haoyu Zhong, Haosheng Huang
Summary: This study presents a comprehensive computational method to quantify the scene complexity of real-world environments based on visual, structural, and semantic characteristics. The proposed method shows excellent performance in predicting the perceived scene complexity of street-view environments. Considering the visual, structural, and semantic dimensions together provides the best regression performance.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Engineering, Civil
Tianhong Zhao, Wei Tu, Zhixiang Fang, Xiaofan Wang, Zhengdong Huang, Shengwu Xiong, Meng Zheng
Summary: In response to the COVID-19 pandemic, a new delivery route optimization approach has been proposed to reduce the virus transmission risk during the delivery of essential living materials. Using a complex network-based virus transmission model, the approach significantly decreased the COVID-19 transmission risk by 67.55% compared to traditional distance-based optimization methods, showing potential for effective response to COVID-19 in transportation sector.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Marine & Freshwater Biology
Zhongyuan Wang, Zhixiang Fang, Jianfeng Liang, Xiao Song
Summary: This study proposes a novel framework to assess the habitat suitability and risk of ocean green tides by considering marine environmental factors. The research findings reveal the suitable and risk areas of green tides in the north and south temperate zones, the impact of marine physical factors on green tide risk globally, and the dominant factors of green tides in different ocean regions.
Article
Remote Sensing
Zhixiang Fang, Xiaofan Wang, Ying Zhuang, Xianglong Liu
Summary: This paper develops a discrete-event-based simulation framework to simulate the optimal substitution scale of electric taxis (ETs) for gasoline taxis (GTs) in order to understand the status changing law of entities under different scales. It provides a practical tool to support further studies of the effect of ETs on urban taxis.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Yue Hu, Zhixiang Fang, Xinyan Zou, Haoyu Zhong, Lubin Wang
Summary: This paper proposes a tourist trip design problem with crowd dynamics, aiming to generate dynamic and personalized tour routes by quantifying crowd dynamics indicators and using a two-stage strategy of global optimization and local update. A case study in Dalian, China demonstrates that this method outperforms previous approaches and reduces real-time crowding by an average of 7%.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Ping Tu, Wei Yao, Zhiyuan Zhao, Pengzhou Wang, Sheng Wu, Zhixiang Fang
Summary: This paper analyzes and compares the interday stability of taxi travel spatial structure and flow volume using taxi datasets from Shenzhen and New York. The results show that there are obvious interday differences in taxi travel flow in both spatial structure and flow volume, with high-frequency origin-destination trips being relatively stable.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Health Care Sciences & Services
Yuxuan Liu, Xiaoguang Lyu, Bo Yang, Zhixiang Fang, Dejun Hu, Lei Shi, Bisheng Wu, Yong Tian, Enli Zhang, YuanChao Yang
Summary: This study aimed to construct a triage system for identifying patients with mushroom poisoning based on clinical indicators using various machine learning methods and assess the prediction accuracy of these strategies. The results showed that the extreme gradient boosting (XGBoost) algorithm had the best discriminative ability and could rapidly and accurately identify critically ill patients, providing an important basis for treatment selection and referral.
JMIR FORMATIVE RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Zhongyuan Wang, Zhixiang Fang, Yu Zhang, Zhanlong Song
Summary: This study demonstrated the bidirectional associations between green tides in the Yellow Sea and social media data, and proposed a bidirectional spatio-temporal associative memory neural network (BSAMNN) model to model this association. The feasibility and reliability of the approach were confirmed through empirical research, indicating that the method is an effective alternative for linking U. prolifera green tides and public sentiments on social media.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Geography
Xiping Yang, Zhixiang Fang, Yang Xu, Ling Yin, Junyi Li, Zhiyuan Zhao
Summary: This study explores human mobility patterns from both spatial and temporal perspectives using mobile phone location data and spatial mobility motifs. By extracting temporal stay patterns and defining rules, the primary temporal stay patterns of Shenzhen users were successfully identified.
TRANSACTIONS IN GIS
(2021)
Article
Construction & Building Technology
Parth Bansal, Steven Jige Quan
Summary: This study investigates the relationship between urban form and canopy layer urban heat island (CUHI) using a relatively large sample of microclimate sensors in Seoul, Korea. The study compares different statistical models and finds that the spatially explicit gradient boosting decision tree (GBDT) model has the highest accuracy. The study also shows that the effect of urban form on CUHI varies at different time instances during the day. These findings provide valuable insights for planners to understand the complexity of urban climate and reduce CUHI magnitude.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Miaomiao Liu, Salah Almazmumi, Pinlu Cao, Carlos Jimenez-bescos, John Kaiser Calautit
Summary: Windcatchers provide effective low-energy ventilation and summer passive cooling in temperate climates. However, their use in winter is limited due to significant ventilation heat loss and potential discomfort. This study evaluates the applicability of windcatchers in low-temperature conditions, highlighting the need for control strategies to reduce over-ventilation and the integration of heat recovery or thermal storage to enhance winter thermal conditions.
BUILDING AND ENVIRONMENT
(2024)
Review
Construction & Building Technology
Behrouz Nourozi, Aneta Wierzbicka, Runming Yao, Sasan Sadrizadeh
Summary: This article presents a systematic review of ventilation solutions in hospital wards, aiming to enhance pathogen removal performance while maintaining patient and healthcare staff comfort using air-cleaning techniques. The study reveals the importance of proper ventilation systems in reducing infection risk and adverse effects of cross-contamination.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhen Yang, Weirong Zhang, Hongkai Liu, Weijia Zhang, Mingyuan Qin
Summary: The study examines the influence of personalized local heating on the thermal comfort of occupants in old residential buildings. The findings reveal that personalized local heating can increase the overall thermal sensation of occupants, but only a few methods are effective in enhancing thermal comfort. The chosen heating methods and background temperature affect the participants' selection of heating parts.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Hong Cheng, Dan Norback, Huilin Zhang, Liu Yang, Baizhan Li, Yinping Zhang, Zhuohui Zhao, Qihong Deng, Chen Huang, Xu Yang, Chan Lu, Hua Qian, Tingting Wang, Ling Zhang, Wei Yu, Juan Wang, Xin Zhang
Summary: The home environment and sick building syndrome (SBS) symptoms in five southern Chinese cities have been studied over time. The study found a decrease in asthma prevalence and an increase in allergic rhinitis. Cockroaches, rats, mice, mosquitoes or flies were identified as consistent biological risk factors for SBS symptoms, while redecoration, buying new furniture, and traffic air pollution were identified as other risk factors.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Chaojie Xing, Zhengtao Ai, Zhiwei Liu, Cheuk Ming Mak, Hai Ming Wong
Summary: This study experimentally investigated the emission characteristics of droplets around the mouth during dental treatments. The results showed that the peak mass fraction of droplets occurs within the size range of 20 μm to 100 μm, and droplets with a diameter less than 200 μm account for over 80% of the mass fraction. The dominant emission direction of droplets is towards the dummy's head and chest, forming an approximately cone shape.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhijian Liu, Zhe Han, Lina Hu, Chenxing Hu, Rui Rong
Summary: This study compared the effects of different respiratory behaviors on the distribution of aerosols in a ward and the risk of infection for healthcare workers using numerical simulation. It was found that talking in the ward significantly increased aerosol concentrations, particularly short periods of talking. Wards designed with side-supply ventilation had lower overall infection risk. Talking alternately between healthcare workers and patients slightly extended the impact time of aerosols.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Yan, Mengyuan Kang, Haodong Zhang, Zhiwei Lian, Xiaojun Fan, Chandra Sekhar, Pawel Wargocki, Li Lan
Summary: In a high-density city, opening windows for sleep may lead to increased indoor temperature, higher PM2.5 concentration, and noise disturbance, which can negatively impact sleep quality.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Bai, Liang Liu, Kai Liu, Shuai Yu, Yifan Shen, Di Sun
Summary: This study developed a non-intrusive personal thermal comfort model using machine learning techniques combined with infrared facial recognition. The results showed that the ensemble learning models perform better than traditional models, and the broad learning model has a higher prediction precision with lower computational complexity and faster training speed compared to deep neural networks. The findings provide a reference for optimizing building thermal environments.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yue Lei, Zeynep Duygu Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong
Summary: Mixed-mode ventilation is a promising solution for achieving energy-efficient and comfortable indoor environments. This study found that occupants can thermally adapt when switching between natural ventilation (NV) and air-conditioning (AC) modes within the same day, with the adaptation process stabilizing between 35 to 45 minutes after the mode switch. These findings are important for optimizing thermal comfort in mixed-mode controls, considering the dynamic nature of thermal adaptation.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Nan Mo, Jie Han, Yingde Yin, Yelin Zhang
Summary: This study develops a method based on the LCZ framework for a comprehensive evaluation of urban-scale heat island effects, considering the impact of geographic factors on LST. The results show that Guilin's geomorphological conditions lead to abnormal heat island effects during winter, and the cooling effects of mountains and water bodies vary seasonally in different built areas, with LCZ 2 exhibiting the strongest cooling effect.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Tunga Salthammer
Summary: Monitoring the potential formaldehyde emission of wood-based materials through test chamber investigations has significantly contributed to reducing indoor formaldehyde concentrations. However, the different methodologies used in these procedures prevent direct result comparison. Empirical models for converting formaldehyde steady-state concentrations based on temperature, humidity, air change rate, and loading were developed in the 1970s and have been modified to accommodate the development of lower-emitting materials. Formaldehyde emissions from wood-based materials are complex and require nonlinear regression tools for mathematical analysis.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Katarina Stebelova, Katarina Kovacova, Zuzana Dzirbikova, Peter Hanuliak, Tomas Bacigal, Peter Hartman, Andrea Vargova, Jozef Hraska
Summary: This study investigated the impact of reduced short-wavelength light on the hormone melatonin metabolite 6-sulfatoxymelatonin (u-sMEL) and examined the association between previous day's light exposure and u-sMEL. It was found that reducing short-wavelength light during the day did not change the concentration of u-sMEL. Personal photopic illuminance was positively correlated with u-sMEL in the reference week. The illuminance had a significant impact on u-sMEL, as shown by the evaluation of the mean of all three urine samples. However, this correlation was not found in the experimental week.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Ruoxin Xiong, Ying Shi, Haoming Jing, Wei Liang, Yorie Nakahira, Pingbo Tang
Summary: This study proposes a data-model integration method to identify and calibrate uncertainties in machine learning models, leading to improved thermal perception predictions. The method utilizes the Multidimensional Association Rule Mining algorithm to identify biased human responses and enhances prediction accuracy and reliability. The study also evaluates different calibration techniques and discovers their potential in enhancing prediction reliability.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Beichao Hu, Zeda Yin, Abderrachid Hamrani, Arturo Leon, Dwayne McDaniel
Summary: This paper introduces an innovative super-resolution approach to model the air flow and temperature field in the cold aisle of a data center. The proposed method reconstructs a high-fidelity flow field by using a low-fidelity flow field, significantly reducing the computational time and enabling real-time prediction.
BUILDING AND ENVIRONMENT
(2024)
