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Yu Song
School of Public Administration, Huazhong Agricultural University, Wuhan 430072, China

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Journal article
Published: 05 August 2021 in Sustainability
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The automatic flap barrier gate system (AFBGS) plays a critical role in building security, but it is more vulnerable to natural hazards than common exits (including power failure, due to earthquakes, and delayed evacuation, due to safety certification, etc.). This article considers a dynamic decision-making process of evacuees during post-earthquake evacuation near an AFBGS. An interesting metaphor, broken windows (BW), is utilized to interpret people’s actual behavior during evacuation. A multi-stage decision-making mechanism of evacuees is developed to characterize the instantaneous transition among three defined stages: Habitual, mild, and radical states. Then, we build a modified three-layer social force model to reproduce the interaction between evacuees based on an actual post-earthquake evacuation. The simulations reveal that BW provides a contextualized understanding of emergency evacuation with a similar effect to the traditional metaphor. An earlier appearance of a mild rule breaker leads to a higher crowd evacuation efficiency. If evacuees maintain the state of broken windows behavior (BWB), the crowd evacuation efficiency can be improved significantly. Contrary to the criminological interpretation, the overall effect of mild BWB is positive, but the radical BWB is encouraged under the command of guiders.

ACS Style

Yu Song; Jia Liu; Qian Liu. Dynamic Decision-Making Process of Evacuees during Post-Earthquake Evacuation near an Automatic Flap Barrier Gate System: A Broken Windows Perspective. Sustainability 2021, 13, 8771 .

AMA Style

Yu Song, Jia Liu, Qian Liu. Dynamic Decision-Making Process of Evacuees during Post-Earthquake Evacuation near an Automatic Flap Barrier Gate System: A Broken Windows Perspective. Sustainability. 2021; 13 (16):8771.

Chicago/Turabian Style

Yu Song; Jia Liu; Qian Liu. 2021. "Dynamic Decision-Making Process of Evacuees during Post-Earthquake Evacuation near an Automatic Flap Barrier Gate System: A Broken Windows Perspective." Sustainability 13, no. 16: 8771.

Journal article
Published: 28 January 2020 in International Journal of Environmental Research and Public Health
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The purpose of this paper is to analyze the characteristics and human effects of atmospheric pollution in the Yangtze River Basin (YRB). An AQI(Air Quality Index)-based weighted co-word method is applied to explore the characteristics of keywords taken from the data, using authoritative media sources and government reports. Hierarchical clustering techniques are utilized to classify and visualize the keywords and display the different types of incidents. The results reveal the following four main clusters: enterprise pollution, coal-burning pollution, traffic pollution, and air pollutants. Cluster 1 is divided into 7 sub-clusters to offer powerful insight into the structural characteristics of industrial activities. This study is one of the first attempts to use a bibliometric approach to visualize the underlying and interconnected sub-clusters from grey data. It also provides an atmospheric pollution mapping for formulating government policies by understanding the human effects of air pollution incidents.

ACS Style

Yu Song; Bingrui Liu; Xiaohong Chen; Jia Liu; Liu. Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis. International Journal of Environmental Research and Public Health 2020, 17, 817 .

AMA Style

Yu Song, Bingrui Liu, Xiaohong Chen, Jia Liu, Liu. Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis. International Journal of Environmental Research and Public Health. 2020; 17 (3):817.

Chicago/Turabian Style

Yu Song; Bingrui Liu; Xiaohong Chen; Jia Liu; Liu. 2020. "Atmospheric Pollution Mapping of the Yangtze River Basin: An AQI-Based Weighted Co-Word Analysis." International Journal of Environmental Research and Public Health 17, no. 3: 817.

Journal article
Published: 15 December 2019 in Sustainability
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Due to the highly developed rail transit over the past decades, the phenomena of complex individual self-organized behaviors and mass crowd dynamics have become a great concern in the train station. In order to understand passengers’ walking-edge effect and analyze the relationship between the layout and sustainable service abilities of the train station, a heuristics-based social force model is proposed to elaborate the crowd dynamics. Several evacuation scenarios are implemented to describe the walking-edge effect in a train station with the evacuation efficiency, pedestrian flow, and crowd density map. The results show that decentralizing crowd flow can significantly increase the evacuation efficiency in different scenarios. When the exits are far away from the central axis of the railway station, the walking-edge effect has little influence on the evacuation efficiency. Obstacles can guide the movement of passengers by channelizing pedestrian flows. In addition, a wider side exit of the funnel-shaped corridors can promote walking-edge effect and decrease the pressure among a congested crowd. Besides providing a modified social force model with considering walking-edge effect, several suggestions are put forward for managers and architects of the train station in designing sustainable layouts.

ACS Style

Kefan Xie; Benbu Liang; Yu Song; Xueqin Dong. Analysis of Walking-Edge Effect in Train Station Evacuation Scenarios: A Sustainable Transportation Perspective. Sustainability 2019, 11, 7188 .

AMA Style

Kefan Xie, Benbu Liang, Yu Song, Xueqin Dong. Analysis of Walking-Edge Effect in Train Station Evacuation Scenarios: A Sustainable Transportation Perspective. Sustainability. 2019; 11 (24):7188.

Chicago/Turabian Style

Kefan Xie; Benbu Liang; Yu Song; Xueqin Dong. 2019. "Analysis of Walking-Edge Effect in Train Station Evacuation Scenarios: A Sustainable Transportation Perspective." Sustainability 11, no. 24: 7188.

Journal article
Published: 01 October 2018 in Technological Forecasting and Social Change
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Science park has been widely regarded as an effective mechanism to promote innovation and development of new ventures and industrial clusters in a region or country. With a variety of innovation factors such as venture capital and entrepreneurial talents injected into a science park, it demonstrates a positive effect on flowing and converting of knowledge in technological entrepreneurship for emerging economies. In this paper, we constructed an effect model of technological entrepreneurship of a science park in the context of an emerging economy. Specifically, we studied the Wuhan Donghu High-Tech Zone in China. We analyzed the incubation effect of science and technology enterprises, the interaction effect between innovation and entrepreneurship, the synergistic effect between science and technological innovation and system innovation, and the cluster effect and ecological effect. We conducted a system dynamics simulation to quantify the interaction of technological innovation, institutional innovation, technological entrepreneurship and entrepreneurial culture. Simulation results show that a joint action of several innovative subjects and factors promote the development and prosperity of a science park.

ACS Style

Kefan Xie; Yu Song; Weiyong Zhang; Jiahui Hao; Zimei Liu; Yun Chen. Technological entrepreneurship in science parks: A case study of Wuhan Donghu High-Tech Zone. Technological Forecasting and Social Change 2018, 135, 156 -168.

AMA Style

Kefan Xie, Yu Song, Weiyong Zhang, Jiahui Hao, Zimei Liu, Yun Chen. Technological entrepreneurship in science parks: A case study of Wuhan Donghu High-Tech Zone. Technological Forecasting and Social Change. 2018; 135 ():156-168.

Chicago/Turabian Style

Kefan Xie; Yu Song; Weiyong Zhang; Jiahui Hao; Zimei Liu; Yun Chen. 2018. "Technological entrepreneurship in science parks: A case study of Wuhan Donghu High-Tech Zone." Technological Forecasting and Social Change 135, no. : 156-168.

Journal article
Published: 18 July 2018 in International Journal of Environmental Research and Public Health
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In China, crowd stampede accidents usually take place within crowded areas in middle and primary schools. The crowd stampede risk is particularly related to the architectural design such as the staircase design, the layout of crowded places, obstacles, etc. Through the investigation of building design in several primary schools, the relationship between the sustainable layout of crowded places (e.g., toilets, canteens, playgrounds, staircases) and the crowd stampede risk of students are introduced via agent-based simulations. In particular, different experimental scenarios are conducted on stairs in the primary buildings. The evacuation processes are recorded by video camera and spatial stepping characteristics (e.g., foot clearance, step length, mass center, the distance between the mass center and ankle, and etc.) are extracted from the video. Dynamic steady ability is investigated by adopting the margin of stability, quantified by the instantaneous difference between the edge of the base of support and extrapolated vertical projection of the mass center. Based on the sustainable built environment principles and historical data of students, this paper focuses on an in-depth analysis of the staircase design aiming at preventing the crowd stampede risk.

ACS Style

Kefan Xie; Yu Song; Jia Liu; Benbu Liang; Xiang Liu. Stampede Prevention Design of Primary School Buildings in China: A Sustainable Built Environment Perspective. International Journal of Environmental Research and Public Health 2018, 15, 1517 .

AMA Style

Kefan Xie, Yu Song, Jia Liu, Benbu Liang, Xiang Liu. Stampede Prevention Design of Primary School Buildings in China: A Sustainable Built Environment Perspective. International Journal of Environmental Research and Public Health. 2018; 15 (7):1517.

Chicago/Turabian Style

Kefan Xie; Yu Song; Jia Liu; Benbu Liang; Xiang Liu. 2018. "Stampede Prevention Design of Primary School Buildings in China: A Sustainable Built Environment Perspective." International Journal of Environmental Research and Public Health 15, no. 7: 1517.

Research article
Published: 25 April 2018 in Environmental Science and Pollution Research
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Chemical accidents are major causes of environmental losses and have been debated due to the potential threat to human beings and environment. Compared with the single statistical analysis, co-word analysis of chemical accidents illustrates significant traits at various levels and presents data into a visual network. This study utilizes a co-word analysis of the keywords extracted from the Web crawling texts of environmental loss-related chemical accidents and uses the Pearson’s correlation coefficient to examine the internal attributes. To visualize the keywords of the accidents, this study carries out a multidimensional scaling analysis applying PROXSCAL and centrality identification. The research results show that an enormous environmental cost is exacted, especially given the expected environmental loss-related chemical accidents with geographical features. Meanwhile, each event often brings more than one environmental impact. Large number of chemical substances are released in the form of solid, liquid, and gas, leading to serious results. Eight clusters that represent the traits of these accidents are formed, including “leakage,” “poisoning,” “explosion,” “pipeline crack,” “river pollution,” “dust pollution,” “emission,” and “industrial effluent.” “Explosion” and “gas” possess a strong correlation with “poisoning,” located at the center of visualization map.

ACS Style

Desheng Wu; Yu Song; Kefan Xie; Baofeng Zhang. Traits and causes of environmental loss-related chemical accidents in China based on co-word analysis. Environmental Science and Pollution Research 2018, 25, 18189 -18199.

AMA Style

Desheng Wu, Yu Song, Kefan Xie, Baofeng Zhang. Traits and causes of environmental loss-related chemical accidents in China based on co-word analysis. Environmental Science and Pollution Research. 2018; 25 (18):18189-18199.

Chicago/Turabian Style

Desheng Wu; Yu Song; Kefan Xie; Baofeng Zhang. 2018. "Traits and causes of environmental loss-related chemical accidents in China based on co-word analysis." Environmental Science and Pollution Research 25, no. 18: 18189-18199.