Preprints
https://doi.org/10.5194/nhess-2023-230
https://doi.org/10.5194/nhess-2023-230
01 Mar 2024
 | 01 Mar 2024
Status: a revised version of this preprint was accepted for the journal NHESS and is expected to appear here in due course.

A New Method for Calculating Highway Blocking due to High Impact Weather Conditions

Duanyang Liu, Tian Jing, Mingyue Yan, Ismail Gultepe, Yunxuan Bao, Hongbin Wang, and Fan Zu

Abstract. Fog, rain, snow, and icing are considered to be the high-impact weather events often lead to the highway blockings, which in turn causes serious economic and human losses. At present, there is no clear calculation method for the severity of highway blocking which is related to highway load degree and economic losses. Therefore, the goal of this work is to develop a method to be used to assess the high impact weather effects on the highway blocking. Based on the K-means cluster analysis and the CRITIC (Criteria Importance through Intercriteria Correlation) weight assignment method, we analyze the highway blocking events occurred in Chinese provinces in 2020. Through cluster analysis, a new method of severity levels of highway blocking is developed to distinguish the severity into five levels. The severity levels of highway blocking due to high-impact weather are evaluated for all weather types. As a part of calculating the degree of highway blocking, a new method is proposed for China, and the highway load in each province is evaluated. The economic losses resulting from highway-blocking events caused by dense fog are specifically assessed. Results suggested that the highway losses caused by dense fog was the main contributor for highway blocking conditions and occur at about 43 %.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Duanyang Liu, Tian Jing, Mingyue Yan, Ismail Gultepe, Yunxuan Bao, Hongbin Wang, and Fan Zu

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-230', Anonymous Referee #1, 22 Mar 2024
    • AC1: 'Reply on RC1', Duanyang Liu, 05 Jun 2024
  • RC2: 'Comment on nhess-2023-230', Anonymous Referee #2, 08 Apr 2024
    • AC2: 'Reply on RC2', Duanyang Liu, 05 Jun 2024
  • RC3: 'Comment on nhess-2023-230', Anonymous Referee #3, 22 Apr 2024
    • AC3: 'Reply on RC3', Duanyang Liu, 05 Jun 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-230', Anonymous Referee #1, 22 Mar 2024
    • AC1: 'Reply on RC1', Duanyang Liu, 05 Jun 2024
  • RC2: 'Comment on nhess-2023-230', Anonymous Referee #2, 08 Apr 2024
    • AC2: 'Reply on RC2', Duanyang Liu, 05 Jun 2024
  • RC3: 'Comment on nhess-2023-230', Anonymous Referee #3, 22 Apr 2024
    • AC3: 'Reply on RC3', Duanyang Liu, 05 Jun 2024
Duanyang Liu, Tian Jing, Mingyue Yan, Ismail Gultepe, Yunxuan Bao, Hongbin Wang, and Fan Zu
Duanyang Liu, Tian Jing, Mingyue Yan, Ismail Gultepe, Yunxuan Bao, Hongbin Wang, and Fan Zu

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Short summary
The highway-blocking events are characterized by diurnal variation. A classification method of severity levels of highway blocking is developed into five levels. The severity levels of highway blocking due to high-impact weather are evaluated. A method for calculating the degree of highway load in China is proposed. A quantitative assessment of the losses of highway blocking due to dense fog is conducted. The highway losses caused by dense fog are concentrated in North, East and Southwest China.
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