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Mapping road traffic crash hotspots using GIS-based methods: A case study of Muscat Governorate in the Sultanate of Oman

  • Published:2021-04 Issue: Volume:42 Page:100458
  • ISSN:2211-6753
  • Container-title:Spatial Statistics
  • language:en
  • Short-container-title:Spatial Statistics

Author:

Al-Aamri Amira K.ORCID,Hornby Graeme,Zhang Li-Chun,Al-Maniri Abdullah A.,Padmadas Sabu S.

Funder

Ministry of Higher Education

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Statistics and Probability

Reference57 articles.

1. Modeling traffic accident occurrence and involvement;Abdel-Aty;Accid. Anal. Prev.,2000

2. Spatio-temporal analysis of road accident incidents and delineation of hotspots using geospatial tools in thrissur district, Kerala, India;Achu;KN-J. Cartogr. Geogr. Inf.,2019

3. Spatial analysis of fatal and injury crashes in Pennsylvania;Aguero-Valverde;Accid. Anal. Prev.,2006

4. Urban Transportation Problems in the Muscat Area, Sultanate of Oman;Al-Rawas,1993

5. A spatial road traffic collision hotspot typology for London;Anderson,2006

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1. Prediction of Traffic Incident Locations with a Geohash-Based Model Using Machine Learning Algorithms;Applied Sciences;2024-01-15

2. Coğrafi bilgi sistemleri kullanarak trafik kazalarının analizi: Siirt kenti örneği;Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi;2023-11-28

3. Traffic Delay Analysis for Intelligent Transportation System using Deep Learning;2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA);2023-09-29

4. Assessing and predicting the illegal dumping risks in relation to road characteristics;Waste Management;2023-09

5. Road Education and GIS Technology as keys to the reduction of traffic accidents;2023 18th Iberian Conference on Information Systems and Technologies (CISTI);2023-06-20
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