地球信息科学学报 ›› 2020, Vol. 22 ›› Issue (2): 175-186.doi: 10.12082/dqxxkx.2020.190246

• 地球信息科学理论与方法 • 上一篇    下一篇

面向就医地点推荐的个人时空可达性分析方法

郑允豪1, 刘晓慧2,*()   

  1. 1. 山东科技大学测绘科学与工程学院,青岛 266590
    2. 山东建筑大学测绘地理信息学院,济南 250101
  • 收稿日期:2019-05-21 修回日期:2019-10-03 出版日期:2020-02-25 发布日期:2020-04-13
  • 通讯作者: 刘晓慧 E-mail:xhliu0512@163.com
  • 作者简介:郑允豪(1996— ),男,山东青岛人,硕士生,主要从事时空数据挖掘及个性化推荐研究。E-mail: zhengyh1996@126.com
  • 基金资助:
    山东省高校科技计划项目(J16LH05);山东省自然科学基金项目(ZR2016DQ06);山东省住房和城乡建设科技计划项目(2018-K8-02);山东建筑大学博士基金项目(XNBS1404)

Method of Individual Space-Time Accessibility Analysis for Medical Site Recommendation

ZHENG Yunhao1, LIU Xiaohui2,*()   

  1. 1. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
    2. School of Surveying and Geo-informatics, Shandong Jianzhu University, Ji'nan 250101, China
  • Received:2019-05-21 Revised:2019-10-03 Online:2020-02-25 Published:2020-04-13
  • Contact: LIU Xiaohui E-mail:xhliu0512@163.com
  • Supported by:
    Science and Technology Project of Institutions of Higher Education of Shandong Province(J16LH05);Shandong Provincial Natural Science Foundation, China(ZR2016DQ06);The Housing and Construction Department Science-Technology Program of Shandong Province of China(2018-K8-02);Doctoral Research Fund of Shandong Jianzhu University(XNBS1404)

摘要:

目前如何根据用户需求以及时空制约条件合理安排就医出行,在海量的医疗机构中实现就医地点的合理推荐是人们的迫切需求。区别于常见的个性化医疗信息推荐方法,本文综合考虑医疗机构的实时资源规模、医疗用户的个性化需求以及前往机构的时空制约,提出一种面向就医地点推荐的个人时空可达性分析方法,并将方法运用于居民的就医出行场景中,实现就医地点的有效推荐。以济南市为研究区域,借助从高德地图API以及医疗健康网站中获取的地理信息数据与医疗机构资源数据,在不同用户、时间和地理位置的情境下,设置2处高校图书馆、2处居民点以及2处大型交通站共6个场景检验方法的有效性。实验表明,本文提出的个人时空可达性方法,能够有效度量医疗用户个体至就医地点间的可达程度,可解决不同时空情境下的就医地点推荐问题,同时也为相关智慧医疗技术的功能建设提供方法支撑,具有良好的应用前景。

关键词: 个人时空可达性, 个性化需求, 位置服务, 医疗机构推荐, 重力模型, 济南市

Abstract:

It is a practical need to select suitable medical sites from a large number of medical institutions for patients based on their needs and space-time constraints. Different from the common methods for personalized medical site recommendation, this paper proposed a new method of individual space-time accessibility analysis for the recommendation of medical sites, which considered the quantity of real-time resources of medical institutions, the personalized demands of medical users, and the space-time constraints to medical institutions. Next, this method was applied to select medical institution for urban residents. The proposed individual space-time accessibility analysis method is based on the gravity model, which is appropriately improved to enhance the method's metrizability and comprehensiveness. The method also integrates the time-geography science theory to enhance its practical applicability. Meanwhile, the path impedance factor in the model is interfaced with the AMap API, which enables the model to perform personalized real-time path calculation based on route preference and real traffic conditions. After obtaining data on relevant health care websites and open interface, this paper took Jinan as the research area and set up six scenarios, including two university libraries, two residential areas, and two large transportation stations with different users, different time, and different geographical locations, to test the effectiveness of the method. Results indicate: (1) The individual space-time accessibility analysis method in this paper considers several factors, not only emphasizing the objective constraints of real-time space-time resources, but also highlighting individuals' personalized demands. (2) The individual space-time accessibility analysis method in this paper is able to effectively measure the accessibility between individual medical users and medical sites based on the actual situation, not only adapting to different space-time situations, but also providing guiding strategies for improving the quality of medical travels. (3) By the individual space-time accessibility analysis method in this paper, the suitability of each medical site can be ranked and travel advices in different space-time situations can be made, i.e., the method has high applicability of recommendation. In addition, our individual space-time accessibility analysis method for medical place recommendation integrates the Location Based Service and medical treatments, bring a new approach to digital medical services, not only providing methodological support for the functional construction of the related wise information technology of 120, but also having good application prospects.

Key words: individual space-time accessibility, personalized demands, Location Based Service, medical institutions recommendation, gravity model, Jinan