地理科学 ›› 2020, Vol. 40 ›› Issue (8): 1293-1299.doi: 10.13249/j.cnki.sgs.2020.08.008

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浙江省人口健康脆弱性评估及影响因素分析

童磊1(), 郑珂1, 苏飞1,*(), 汤青1, 曹轶蓉2, 郑艳艳1   

  1. 1. 浙江工商大学旅游与城乡规划学院,浙江 杭州 310018
    2. 浙江工商大学杭州商学院,浙江 桐庐 311599
  • 收稿日期:2020-02-16 出版日期:2020-08-10 发布日期:2020-12-07
  • 通讯作者: 苏飞 E-mail:zjutonglei@126.com;suf910@163.com
  • 作者简介:童磊(1989−),男,浙江龙游人,讲师,博士,主要从事城乡规划理论与方法研究。E-mail: zjutonglei@126.com
  • 基金资助:
    浙江省高校重大人文社会科学攻关计划项目(2018QN027)、国家自然科学基金项目(51908498,41401176)资助

Analysis of Population Health Vulnerability Assessment and Influencing Factors in Zhejiang Province

Tong Lei1(), Zheng Ke1, Su Fei1,*(), Tang Qing1, Cao Yirong2, Zheng Yanyan1   

  1. 1. School of Tourism and Urban-rural Planning, Zheijiang Gongshang University, Hangzhou 310018, Zhejiang, China
    2. Hangzhou College of Commerce, Zheijiang Gongshang University, Tonglu 311599, Zhejiang, China
  • Received:2020-02-16 Online:2020-08-10 Published:2020-12-07
  • Contact: Su Fei E-mail:zjutonglei@126.com;suf910@163.com
  • Supported by:
    Key Humanities and Social Science Program of Higher Education in Zhejiang Province (2018QN027), National Natural Science Foundation of China (51908498, 41401176).

摘要:

运用集对分析法从敏感性和应对性2个方面对浙江省11个地市的人口健康脆弱性进行评估。研究表明:① 从敏感性和应对性2个维度对城市人口健康脆弱性进行评估的方法具有一定可靠性,但在突发大型流行性病毒感染疫情的情境下仍需进一步完善;② 各地市脆弱性指数排名与敏感性指数保持较高一致性,而与应对性指数则表现出异质性和随机性,认为降低敏感性是降低城市人口健康脆弱性指数的关键;③ 城市人口健康脆弱性评价还应该增加城市对大型突发公共卫生事件的敏感性和应对能力的考量,相应的评估方法和模型仍有待进一步研究。

关键词: 人口健康, 脆弱性评估, 集对分析, 障碍因素

Abstract:

Population health vulnerability has gradually become a new hotspot in the field of vulnerability research. Reducing the urban population health vulnerability and improving the population health resilience are not only important to the connotations of building healthy city, but also an important support to enhance the ability to respond to urban public health emergencies. This paper use authoritative data such as statistical yearbooks and government statistical bulletins to build a population health vulnerability assessment index system from the two dimensions of population health sensitivity and coping. Using the set pair analysis method to evaluate the health vulnerability of 11 cities in Zhejiang Province from three aspects: degree of identity, degree of difference and degree of opposition. The research shows that: 1) The ranking of the vulnerability index of each city maintains a high consistency with the sensitivity index, and shows heterogeneity and randomness with the coping index. 2) From the perspective of the overall trend, the impact of sensitivity on the vulnerability index is greater than coping index, indicating that attention should be paid to sensitivity indicators in constructing healthy cities, and reducing sensitivity is the key to reducing the urban population's health vulnerability index. 3) The main factors influencing the health vulnerability of the urban population tend to be the same, but the core leading factors are different. In the process of constructing a healthy city, the corresponding construction measures should be proposed on the basis of full evaluation and research. 4) Sensitivity and response capability to large public health emergencies should be taken into account in the assessment of urban population health vulnerability.

Key words: population health, vulnerability assessment, set pair analysis, obstacle factor

中图分类号: 

  • C913.6