Guorong Li

ORCID: 0000-0002-5470-0681
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About
Contact & Profiles
Research Areas
  • Maritime Navigation and Safety
  • Structural Integrity and Reliability Analysis
  • Maritime Ports and Logistics
  • Maritime Transport Emissions and Efficiency
  • Ship Hydrodynamics and Maneuverability
  • Vehicle emissions and performance
  • Maritime Security and History
  • Atmospheric chemistry and aerosols
  • Sustainable Finance and Green Bonds
  • Engineering and Environmental Studies
  • Regional Socio-Economic Development Trends
  • Geoscience and Mining Technology
  • Risk and Safety Analysis
  • Hydrocarbon exploration and reservoir analysis
  • Environmental Sustainability and Technology
  • Regional Economic and Spatial Analysis
  • Plant Ecology and Soil Science
  • Economic and Environmental Valuation
  • Geological and Geophysical Studies
  • Geomechanics and Mining Engineering
  • Value Engineering and Management
  • Monetary Policy and Economic Impact
  • Rangeland Management and Livestock Ecology
  • Injury Epidemiology and Prevention
  • Spatial and Panel Data Analysis

Shanghai Maritime University
2017-2024

Tsinghua University
2024

Chalmers University of Technology
2024

Dalian Medical University
2022

Bohai University
2022

Tea Research Institute
2021

Jilin University of Finance and Economics
2020

Chengdu University of Technology
2012-2016

Sun Chemical (United States)
2013

Jiangsu Vocational Institute of Architectural Technology
2011

The investigation of contributory factors in ship traffic accidents is a high-priority issue maritime safety analysis. In this study, method based on association rules proposed to analyze these factors. Using ten years that occurred Fujian water areas, total 66 and 228 generated for nonserious serious accidents, respectively. Univariate analysis results show both severity levels are probably associated with small ships, good visibility, no strong wind/wave, the season spring. frequency about...

10.1080/19439962.2017.1341440 article EN Journal of Transportation Safety & Security 2017-07-18

10.1016/j.trc.2017.05.007 article EN Transportation Research Part C Emerging Technologies 2017-05-24

This study develops an ordered probit model to evaluate the factors influencing two-ship collision severity using ten years’ ship accident data from Fujian sea areas. The results show that involvement of big ships has largest impact in increasing probability a serious or very accident, followed by fishing vessels. There will be bigger if both involved are cargo ships. We found season spring, poor visibility and night time periods more likely high levels collision. also reveal lookout failure...

10.1017/s0373463317000996 article EN Journal of Navigation 2018-02-01

There is a special interaction between the environment, soil microorganisms, and tea plants, which constitute ecosystem of plantations. Influenced by environmental factors human management, changes in microbial community affected growth, quality, yield plants. However, little known about composition structure bacterial fungal communities 100-year-old plantations mechanisms they are affected. In this regard, we characterized microbiome plantation soils considering 448 samples from 101 ancient...

10.3389/fmicb.2021.745225 article EN cc-by Frontiers in Microbiology 2021-10-15

Abstract Ship anomaly detection is a vital aspect for monitoring navigational safety in specific water areas. Considering the effect of channel boundaries, we propose an abnormal ship trajectory based on complex polygon (DATCP) method to detect anomalies this study. With automatic identification systems (AIS) data from Yangtze River estuary, case study created verify effectiveness proposed DATCP method. The results reveal that can provide higher accuracy than conventional A* algorithm....

10.1017/s0373463322000182 article EN Journal of Navigation 2022-04-18

Ensuring maritime safety has ascended as a preeminent concern within the global sector. Understanding how factors affect accidents' consequences in different water areas would be of great benefit to preventing occurrence or reducing consequences. This study thus employed multi-scale geographically weighted regression (MGWR) model on accident dataset from Fujian waters East China Sea, quantify influences well spatial heterogeneity effects key consequence. The performances MGWR are compared...

10.1080/03088839.2024.2347893 article EN cc-by-nc-nd Maritime Policy & Management 2024-05-05

Thick carbonate rocks were developed in the depression of Tarim craton during Cambrian-Middle Ordovician periods. The compressional tectonic movement Middle Caledonian-Hercynian created paleouplifts, which became base for paleokarst rocks. Based on large quantity seismic, drilling, and geological outcrop data, this study analyzed development relation to multi-stage movements Paleozoic Era different stages karstification hypothesized paleogeomorphology water system those stages. Fractures...

10.1007/s13146-016-0307-4 article EN cc-by Carbonates and Evaporites 2016-07-14

Childhood stunting is still a public health issue in developing countries. However, the traditional risk factors underdeveloped areas are not suitable for developed areas. Moreover, childhood influenced by several aspects, including genetic factors, perinatal conditions, maternal and feeding practices, but researchers have yet clearly determined which aspect of accumulation exerts strongest effect on stunting. A matched case-control study was performed to assess different aspects stunting.In...

10.3389/fped.2022.816870 article EN cc-by Frontiers in Pediatrics 2022-05-31

The underreporting of maritime accident data is a major concern in transportation safety analysis. In order to avoid biased effects caused by the issue, this study aims propose Bootstrap-Tobit regression model for estimation economic loss resulting from accidents. questionnaire survey method employed determine possible rates and their occurrence probabilities, while bootstrap sampling adopted supplement underreported generating number samples. With ten year's archived data, case created...

10.1080/23249935.2020.1829169 article EN Transportmetrica A Transport Science 2020-09-25

The underreporting issue on shipping accident data has plagued the researchers focused maritime safety analysis for many years. For improving quality of records, this study proposes a novel methodology comprising three steps to complement underreported records. first step is investigate rates under various conditions through questionnaire survey. Based survey results, second build Cluster-Specific Random Effects (CSRE) model estimate scenarios. Then, third replicate records using Monte Carlo...

10.1080/19439962.2021.1928353 article EN Journal of Transportation Safety & Security 2021-06-02

This study aims to develop a Bayesian regression model evaluate the economic loss resulting from two-ship collisions using ten years’ ship collision data for occurrances in Fujian waters. The results show that involvement of passenger/cruise ships could cause largest increment on collisions. Interestingly, it is found fishing greatly increase consequence terms loss. Results also reveal higher associated with straits/sea areas, under strong wind/wave conditions, during nighttime period, and...

10.1177/0361198118821599 article EN Transportation Research Record Journal of the Transportation Research Board 2019-01-01

Considering unobserved spatial-temporal interaction effects, this study proposes a Bayesian model for predicting economic loss from fishing boat collisions using 10-year (2004–2014) collision records six different areas in the waters of Fujian, China. Results show strong spatial heterogeneity and correlation effects collisions, while gradually decreases with time trend. Collision time, location, visibility involvement LNG/LPG/chemical-carrying ships similar marginal on two types: involving...

10.1017/s037346332000017x article EN Journal of Navigation 2020-03-31

Global geolocation, which seeks to predict the geographical location of images captured anywhere in world, is one most challenging tasks field computer vision. In this paper, we introduce an innovative interactive global geolocation assistant named GaGA, built upon flourishing large vision-language models (LVLMs). GaGA uncovers clues within and combines them with extensive world knowledge embedded LVLMs determine geolocations while also providing justifications explanations for prediction...

10.48550/arxiv.2412.08907 preprint EN arXiv (Cornell University) 2024-12-11

This study analyzes vessel traffic characteristics in Yangtze River Estuary water areas. Real-time automatic identification system (AIS) data, with about thirty million records, were collected from Lloyd's Marine Intelligence Unit database. Cargo ships made up the largest proportion (64.17%) of Passengers and fishing accounted for a small proportion, only 1.63%. Analysis suggested that special attention should be paid to containerships because their larger draughts. The spatial distribution...

10.1061/9780784481523.051 article EN CICTP 2021 2018-07-02
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