- Infrastructure Resilience and Vulnerability Analysis
- Landslides and related hazards
- Transportation Planning and Optimization
- Vehicle emissions and performance
- Flood Risk Assessment and Management
- Traffic Prediction and Management Techniques
- Occupational Health and Safety Research
- Hydrology and Watershed Management Studies
- Evaluation Methods in Various Fields
- Risk and Safety Analysis
- Traffic control and management
- Environmental Monitoring and Data Management
- Evaluation and Optimization Models
- Geotechnical Engineering and Analysis
- Human Mobility and Location-Based Analysis
- Structural Integrity and Reliability Analysis
- Regional Economic and Spatial Analysis
- earthquake and tectonic studies
- Water Quality Monitoring Technologies
- Hydrological Forecasting Using AI
- Ship Hydrodynamics and Maneuverability
- Time Series Analysis and Forecasting
- Advanced Materials and Mechanics
- Tree Root and Stability Studies
- Maritime Navigation and Safety
Beijing Normal University
2006-2025
Ministry of Transport
2023-2024
State Key Joint Laboratory of Environment Simulation and Pollution Control
2023
Guizhou Electromechanical Research and Design Institute
2022
State Key Laboratory of Earth Surface Processes and Resource Ecology
2021
University of Maryland, Baltimore County
2020
University of California, Riverside
2007-2012
University of California, Berkeley
2012
Google (United States)
2012
Jilin University
2009
Due to increased public awareness on global climate change and other energy environmental problems, a variety of strategies are being developed used reduce the consumption impact roadway travel. In advanced traveler information systems, recent efforts have been made in developing new navigation concept called "eco-routing," which finds route that requires least amount fuel and/or produces emissions. This paper presents an eco-routing system determines most eco-friendly between trip origin...
Precipitation is the main factor that triggers landslides. Rainfall-induced landslide susceptibility mapping (LSM) crucial for disaster prevention and losses mitigation, though most studies are temporally ambiguous on a regional scale. To better reveal mechanisms provide more accurate maps risk assessment hazard prediction, developing global dynamic LSM model essential. In this study, we used Google Earth Engine (GEE) as data platform applied three tree-based ensemble machine learning...
Lake shrinkage and water scarcity are frequent problems in arid semiarid regions; monitoring the variations of surface using remote sensing images is useful for disaster prevention resource management. Here, we proposed models Sentinel-2 based on light gradient boosting machine (LightGBM) to quantify monthly dynamics middle farming-pastoral ecotone Northern China (M-FPENC) region, which was facing severe security challenges from 2016 2021, at a 10-m resolution. The results show that perform...
Abstract Climate change and its projected natural hazards have an adverse impact on the functionality operation of transportation infrastructure systems. This study presents a comprehensive framework to analyze risk networks that are affected by hazards. The proposed analysis method considers both failure probability components expected network efficiency capacity loss due component failure. approach facilitates identification high‐risk links in terms not only their susceptibility but also...
Abstract Earthquakes pose a great risk to railway systems and services around the world. In China alone, earthquakes caused 88 rail service disruptions between 2012 2019. Here, we present first-of-its-kind methodology analyze seismic of system using an empirically derived train fragility curve. We demonstrate our Chinese system. doing so, generate set stochastic earthquake scenarios for based on national-scale seismicity model. Using disruption records, construct grounded curve that relates...
The robustness and reliability capacities of highways are particularly critical when dealing with emergencies in order to ensure user safety following disaster events. Assessing the under multi-hazard scenarios evaluating impact planning on them have become urgent topics. In this study, we use Xinjiang Production Construction Corps’ (XPCC) existing planned arterial highway networks China for research. Based information, established employed four attack strategies networks. results show that...
Roadway navigation systems have become increasingly popular, providing more efficient routing through a roadway network. In many cases, multiple routes are possible, and specific route can be selected by minimizing some cost function. However, the number of possible varies network topology location within It is often useful to know how exist; therefore, authors developed Navigational Mobility Index (NMI) with an initial focus on freeway networks that extended other facility types. NMI based...
Heavy-duty diesel trucks are a significant source of carbon dioxide, oxides nitrogen, and particulate matter emissions. The construction accurate emission inventories these requires proper characterization their speed because rates vary substantially by speed. However, data regarding truck have been very limited to date. This paper presents statistical method for estimating traffic that takes advantage the existing monitoring systems. With from systems examined, it was found can be...
Embedded vehicle detector sensor systems used in today's roadways provide a direct measurement of traffic flow, roadway occupancy, and average speed. This type network does not directly measure density; instead it is estimated from the other measured parameters. In this paper, we have developed systematic techniques to conditions by utilizing both on- off-board computer vision systems. A unique development technique combined Global Positioning System (GPS)-equipped mobile surveillance system...
Maritime accidents, such as ship collisions and oil spills, directly affect maritime transportation, pollute the water environment, indirectly threaten life property safety. Predicting accident susceptibility taking measures in advance can effectively avoid probability reduce risk. Therefore, this study established dynamic multi-period (monthly, yearly, five-yearly) prediction models based on random forest (RF) algorithm Automatic Identification System (AIS) data for assessment. First,...
Abstract. Floods have negative effects on the reliable operation of transportation systems. In China alone, floods cause an average ∼1125 h railway service disruptions per year. this study, we present a simulation framework to analyse system vulnerability and risk floods. First, developed novel methodology for generating flood events at both national river basin scale. Based hazard maps different return periods, independent are generated using Monte Carlo sampling method. Combined with...
Freeway management systems are becoming increasingly important for many ITS applications. To achieve better freeway management, effective traffic performance evaluation parameters crucial. Most of the current from a macroscopic point view, e.g., level-of-service based on density. This paper proposes in microscopic way and investigates relationship between level service (LOS) derived roadway sensor readings quality (QOS) drivers' view. is several applications that need to monitor network...
Abstract. Floods have negative effects on the reliable operation of transportation systems. In China alone, floods cause an average ~1125 hours railway service disruptions per year. this study, we present a simulation framework to analyse system vulnerability and risk Chinese floods. To do so, developed novel methodology for generating flood events at both national river basin scale. The resulting event set provides basis national- provincial-level assessments, focusing in particular...
In floating car data collection, the link average speed of cars is exported as traffic flow. This results in low quality information being shared with public. paper investigates quantitative relationship between and flow considering conditions, verifies research simulated based on a part road network Changchun. The show that can not be used instead flow, estimated accurately using method described this paper.
Modeling of population density based on GIS and RS has a promising prospect in China. In this article, an improved model geographical information system (GIS) remote sensing (RS) technology was used to simulate the distribution four counties Shandong Province, Results showed that: study area is range 0 - 19214.76 persons/km <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . As whole, urban higher than that rural area.
Abstract. Rainfall-induced hazards, such as landslides, debris flows, and floods cause significant damage to transportation infrastructure. However, an accurate assessment of rainfall-induced hazard risk infrastructure is limited by the lack regional asset-tailored vulnerability curves. This study aims use multi-source empirical data generate curves assess hazards. The methodology exemplified through a case for Chinese national railway In doing so, national-level are derived based on...