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Maritime Policy & Management
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Original article

Deciphering spatial heterogeneity of maritime accidents considering impact scale variations

ORCID Icon, , ORCID Icon &
Received 11 Apr 2023, Accepted 13 Mar 2024, Published online: 05 May 2024

References

  • Altan, Y. C., and E. N. Otay. 2018. “Spatial Mapping of Encounter Probability in Congested Waterways Using AIS.” Ocean Engineering 164:263–271. https://doi.org/10.1016/j.oceaneng.2018.06.049.
  • Çakır, E., R. Fışkın, and C. Sevgili. 2021. “Investigation of Tugboat Accidents Severity: An Application of Association Rule Mining Algorithms.” Reliability Engineering and System Safety 209:107470. https://doi.org/10.1016/j.ress.2021.107470.
  • Chai, T., D.-Q. Xiong, and J. Weng. 2018. “A zero-inflated negative binomial regression model to evaluate ship sinking accident mortalities.” Transportation Research Record 2672 (11): 65–72. https://doi.org/10.1177/0361198118787388.
  • Chen, J., F. Zhang, C. Yang, C. Zhang, and L. Luo. 2017. “Factor and Trend Analysis of Total-Loss Marine Casualty Using a Fuzzy Matter Element Method.” International Journal of Disaster Risk Reduction 24:383–390. https://doi.org/10.1016/j.ijdrr.2017.07.001.
  • Du, Y., Y. Chen, X. Li, A. Schönborn, and Z. Sun. 2022. “Data Fusion and Machine Learning for Ship Fuel Efficiency Modeling: Part II–Voyage Report Data, AIS Data and Meteorological Data.” Communications in Transportation Research 2:100073. https://doi.org/10.1016/j.commtr.2022.100074.
  • Eliopoulou, E., and A. Papanikolaou. 2007. “Casualty Analysis of Large Tankers.” Journal of Marine Science and Technology 12 (4): 240–250. https://doi.org/10.1007/s00773-007-0255-8.
  • EMSA (European Maritime Safety Agency) 2020. “Annual Overview of Marine Casualties and Incidents 2020.” http://emsa.europa.eu/csn-menu/items.html?cid=14&id=4266.
  • Fotheringham, A. S., W. Yang, and W. Kang. 2017. “Multiscale Geographically Weighted Regression (MGWR).” Annals of the American Association of Geographers 107 (6): 1247–1265. https://doi.org/10.1080/24694452.2017.1352480.
  • Fu, S., Y. Zhang, M. Zhang, B. Han, and Z. Wu. 2023. “An Object-Oriented Bayesian Network Model for the Quantitative Risk Assessment of Navigational Accidents in Ice-Covered Arctic Waters.” Reliability Engineering and System Safety 238:109459. https://doi.org/10.1016/j.ress.2023.109459.
  • Gao, K., A. Li, Y. Liu, J. Gil, and Y. Bie. 2023. “Unraveling the Mode Substitution of Dockless Bike-Sharing Systems and Its Determinants: A Trip Level Data-Driven Interpretation.” Sustainable Cities and Society 98:104820. https://doi.org/10.1016/j.scs.2023.104820.
  • Gao, K., Y. Yang, A. Li, and X. Qu. 2021. “Spatial Heterogeneity in Distance Decay of Using Bike Sharing: An Empirical Large-Scale Analysis in Shanghai.” Transportation Research Part D: Transport & Environment 94:102814. https://doi.org/10.1016/j.trd.2021.102814.
  • Goerlandt, F., and H. Liu. 2023. “Readability of Maritime Accident Reports: A Comparative Analysis.” Maritime Policy & Management 1–13. https://doi.org/10.1080/03088839.2023.2166685.
  • Jin, D. 2014. “The Determinants of Fishing Vessel Accident Severity.” Accident Analysis & Prevention 66:1–7. https://doi.org/10.1016/j.aap.2014.01.001.
  • Li, X., Y. Du, Y. Chen, S. Nguyen, W. Zhang, A. Schönborn, and Z. Sun. 2022. “Data Fusion and Machine Learning for Ship Fuel Efficiency Modeling: Part I–Voyage Report Data and Meteorological Data.” Communications in Transportation Research 2:100074. https://doi.org/10.1016/j.commtr.2022.100074.
  • Li, B., J. Lu, H. Lu, and J. Li. 2023. “Predicting Maritime Accident Consequence Scenarios for Emergency Response Decisions Using Optimization-Based Decision Tree Approach.” Maritime Policy & Management 50 (1): 19–41. https://doi.org/10.1080/03088839.2021.1959074.
  • Li, G., J. Weng, and Z. Hou. 2021. “Impact Analysis of External Factors on Human Errors Using the ARBN Method Based on Small-Sample Ship Collision Records.” Ocean Engineering 236:109533. https://doi.org/10.1016/j.oceaneng.2021.109533.
  • Luo, M., and S.-H. Shin. 2019. “Half-Century Research Developments in Maritime Accidents: Future Directions.” Accident Analysis & Prevention 123:448–460. https://doi.org/10.1016/j.aap.2016.04.010.
  • Moran, P. A. 1950. “Notes on Continuous Stochastic Phenomena.” Biometrika 37 (1/2): 17–23. https://doi.org/10.2307/2332142.
  • Oshan, T. M., Z. Li, W. Kang, L. J. Wolf, and A. Stewart Fotheringham. 2019. “Mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale.” ISPRS International Journal of Geo-Information 8 (6): 269. https://doi.org/10.3390/ijgi8060269.
  • Shi, X., Z. Wang, X. Li, and M. Pei. 2021. “The Effect of Ride Experience on Changing Opinions Toward Autonomous Vehicle Safety.” Communications in Transportation Research 1:100003. https://doi.org/10.1016/j.commtr.2021.100003.
  • Shuaian, W., H. N. Psaraftis, and J. Qi. 2021. “Paradox of International Maritime organization’s Carbon Intensity Indicator.” Communications in Transportation Research 1:100005. https://doi.org/10.1016/j.commtr.2021.100005.
  • Shuli, W., K. Gao, L. Zhang, B. Yu, and S. M. Easa. 2024. “Geographically Weighted Machine Learning for Modeling Spatial Heterogeneity in Traffic Crash Frequency and Determinants in US.” Accident Analysis & Prevention 199:107528. https://doi.org/10.1016/j.aap.2024.107528.
  • Su, Z., Y. Ma, L. Jia, F. Ren, and C. Ding. 2023. “Application of the Improved Dynamical–Statistical–Analog Ensemble Forecast Model for Landfalling Typhoon Precipitation in Fujian Province.” Frontiers in Earth Science 10:1018851. https://doi.org/10.3389/feart.2022.1018851.
  • Szlapczynski, R., and J. Szlapczynska. 2021. “A Ship Domain-Based Model of Collision Risk for Near-Miss Detection and Collision Alert Systems.” Reliability Engineering and System Safety 214:107766. https://doi.org/10.1016/j.ress.2021.107766.
  • UNCTAD (United Nations Conference on Trade and Development) 2020. Review of Maritime Transport 2020. United Nations publication. Sales no. E.20.II.D.31.
  • Wang, H., Z. Liu, X. Wang, T. Graham, and J. Wang. 2021. “An Analysis of Factors Affecting the Severity of Marine Accidents.” Reliability Engineering and System Safety 210:107513. https://doi.org/10.1016/j.ress.2021.107513.
  • Wang, L., J. Wang, M. Shi, S. Fu, and M. Zhu. 2021. “Critical Risk Factors in Ship Fire Accidents.” Maritime Policy & Management 48 (6): 895–913. https://doi.org/10.1080/03088839.2020.1821110.
  • Weng, J., D. Yang, and G. Du. 2018. “Generalized F Distribution Model with Random Parameters for Estimating Property Damage Cost in Maritime Accidents.” Maritime Policy & Management 45 (8): 963–978. https://doi.org/10.1080/03088839.2018.1475760.
  • Xi, Y., S. Hu, Z. Yang, S. Fu, and J. Weng. 2023. “Analysis of Safety Climate Effect on Individual Safety Consciousness Creation and Safety Behaviour Improvement in Shipping Operations.” Maritime Policy & Management 50 (7): 941–956. https://doi.org/10.1080/03088839.2022.2059718.
  • Yang, Y., Z. Shao, Y. Hu, Q. Mei, J. Pan, R. Song, and P. Wang. 2022. “Geographical Spatial Analysis and Risk Prediction Based on Machine Learning for Maritime Traffic Accidents: A Case Study of Fujian Sea Area.” Ocean Engineering 266:113106. https://doi.org/10.1016/j.oceaneng.2022.113106.
  • Yen, C.-D., S.-W. Hsu, K.-D. Ye, K.-C. Shang, and C.-H. Wu. 2024. “A Safety Compliance Model for Container Terminal Operations: The Roles of the Safety Climate, Non-Compliance Cost and Safety Self-Efficacy.” Maritime Policy & Management 51 (1): 118–132. https://doi.org/10.1080/03088839.2022.2089754.
  • Yildiz, S., F. Tonoğlu, Ö. Uğurlu, S. Loughney, and J. Wang. 2022. “Spatial and Statistical Analysis of Operational Conditions Contributing to Marine Accidents in the Singapore Strait.” Journal of Marine Science and Engineering 10 (12): 2001. https://doi.org/10.3390/jmse10122001.
  • Yip, T. L., D. Jin, and W. K. Talley. 2015. “Determinants of Injuries in Passenger Vessel Accidents.” Accident Analysis & Prevention 82:112–117. https://doi.org/10.1016/j.aap.2015.05.025.
  • Zhang, M., F. Conti, H. Le Sourne, D. Vassalos, P. Kujala, D. Lindroth, and S. Hirdaris. 2021. “A Method for the Direct Assessment of Ship Collision Damage and Flooding Risk in Real Conditions.” Ocean Engineering 237:109605. https://doi.org/10.1016/j.oceaneng.2021.109605.
  • Zhang, Y., X. Sun, J. Chen, and C. Cheng. 2021. “Spatial Patterns and Characteristics of Global Maritime Accidents.” Reliability Engineering and System Safety 206:107310. https://doi.org/10.1016/j.ress.2020.107310.
  • Zheng, Y., W. K. Talley, D. Jin, and M. Ng. 2016. “Crew injuries in container vessel accidents.” Maritime Policy & Management 43 (5): 541–551. https://doi.org/10.1080/03088839.2016.1150610.
  • Zhou, X., L. Cheng, and M. Li. 2020. “Assessing and Mapping Maritime Transportation Risk Based on Spatial Fuzzy Multi-Criteria Decision Making: A Case Study in the South China Sea.” Ocean Engineering 208:107403. https://doi.org/10.1016/j.oceaneng.2020.107403.
  • Ziakopoulos, A., and G. Yannis. 2020. “A Review of Spatial Approaches in Road Safety.” Accident Analysis & Prevention 135:105323. https://doi.org/10.1016/j.aap.2019.105323.