主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2023, Vol. 32 ›› Issue (9): 159-169.DOI: 10.3969/j.issn.1004-9479.2023.09.2021325

• 文化与社会 • 上一篇    

全国旅游交通事故严重程度的时空分布及引致因素分析

赖菲菲1(), 谢朝武1,2(), 黄锐1   

  1. 1.华侨大学旅游学院,泉州 362021
    2.中国旅游研究院旅游安全研究基地,泉州 362021
  • 收稿日期:2021-05-08 修回日期:2021-07-23 出版日期:2023-09-15 发布日期:2023-09-25
  • 通讯作者: 谢朝武
  • 作者简介:赖菲菲(1995—),女,博士研究生,研究方向为旅游安全、旅游地管理,E-mail:534765481@qq.com
  • 基金资助:
    国家自然科学基金项目(41971182);教育部人文社科项目(19YJAZH097)

Analysis on the spatio-temporal distribution of severity and causing factors of tourism traffic accidents in China

Feifei LAI1(), Chaowu XIE1,2(), Rui HUANG1   

  1. 1.College of Tourism, Huaqiao University, Quanzhou 362021, China
    2.Center for Tourism Safety & Security Research of China Tourism Academy, Quanzhou 362021, China
  • Received:2021-05-08 Revised:2021-07-23 Online:2023-09-15 Published:2023-09-25
  • Contact: Chaowu XIE

摘要:

为研究旅游交通事故严重程度的引致因素,以全国3 861起旅游交通安全事故为研究对象,在分析其时空分布特征的基础上,进一步将旅游交通事故严重程度作为因变量,车辆类型、路段类型、天气情况等12个因素为自变量,并借助有序多分类Logistic回归模型探究旅游交通安全事故严重性的引致因素。结果表明:(1)2010—2019年全国各等级旅游交通事故均呈现波动下降趋势;(2)旅游交通事故严重性等级呈现异质性分布特征,高发区主要集中于云南、湖南等地;(3)人员、车辆、道路、管理和环境五类引致因素与旅游交通事故严重程度显著相关,且其与各省域的联系强度差异是导致事故严重程度呈异质性分布的重要原因。研究结果有助于揭示全国旅游交通安全事故结果的特征及成因,为完善旅游交通安全管理提供理论依据。

关键词: 旅游交通事故, 交通安全, 时空分布, Logistic模型, 引致因素

Abstract:

To investigate the factors influencing the severity of tourism traffic accidents, this paper selected 3 861 tourism traffic safety accidents in China, based on the analysis of its spatialtemporal distribution characteristics, further examined the factors influencing the severity of tourism traffic accidents. An ordered multi-classified logistic regression model was employed to explore the contributing factors to the severity of tourist traffic safety accidents. The results show that: (1) From 2010 to 2019, the different severity levels of tourism traffic accidents in China show a fluctuating downward trend. (2) The severity levels of tourism traffic accidents display a heterogeneous distribution, with high-incidence areas mainly concentrated in Yunnan and Hunan provinces. (3) The five categories of factors, including personnel, vehicles, roads, management, and environment, are significantly correlated with the severity of tourism traffic accidents. The varying strength of their connection with different provincial domains is an important reason for the heterogeneous distribution of accident severity. The results help to reveal the characteristics and causes of tourism traffic safety accidents nationwide and provide a theoretical basis for improving tourism traffic safety management.

Key words: tourism traffic accidents, traffic safety, spatial and temporal distribution, Logistic model, causing factors