中国南昌不同城市化水平地区手足口病医院就诊的空间行为

IF 5.1 2区 工程技术 Q1 TRANSPORTATION Travel Behaviour and Society Pub Date : 2024-08-20 DOI:10.1016/j.tbs.2024.100888
Zeliu Zheng , Wentao Song , Hui Li , Zhiqiang Deng , Bisong Hu , Yuxia Wang , Fahui Wang
{"title":"中国南昌不同城市化水平地区手足口病医院就诊的空间行为","authors":"Zeliu Zheng ,&nbsp;Wentao Song ,&nbsp;Hui Li ,&nbsp;Zhiqiang Deng ,&nbsp;Bisong Hu ,&nbsp;Yuxia Wang ,&nbsp;Fahui Wang","doi":"10.1016/j.tbs.2024.100888","DOIUrl":null,"url":null,"abstract":"<div><p>Hand foot mouth disease (HFMD) is one of the widespread transmissible diseases that target preschool children, especially in urban regions in East Asia. Based on the mobile app data, a GIS automated regionalization method is used to define regions of various urbanicity levels. The variability of HFMD patients’ travel behaviors across these regions are examined by the complementary cumulative distribution functions (CCDFs). The travel burden in Nanchang increased as the patients’ residences moved toward regions of more rurality. Specifically, more urbanized regions near the city center (i.e., urban core and its surrounding urban) enjoyed better access to the healthcare service by spending an average of about 17-minute drive time. Patients residing in less urbanized regions such as suburbs and downtowns of surrounding rural counties either chose a nearby hospital or journeyed far to the region’s central Children’s Hospital, with average elevated travel time of 25 and 22 min, respectively. Those in rural areas travelled an average of 36 min, the longest among all regions. The study also finds a unique dual-peak pattern across two travel ranges in the study area due to the patients’ dilemma between pursuing high-quality hospitals and accommodating travel burden. Such a pattern mandates the adoption of a segmented regression approach to deriving the best-fitting CCDFs in most regions except for the rural.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"38 ","pages":"Article 100888"},"PeriodicalIF":5.1000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214367X24001510/pdfft?md5=182f8680abf268211629666ac761990b&pid=1-s2.0-S2214367X24001510-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Spatial behaviors of HFMD hospital visits across regions of various urbanicity levels in Nanchang, China\",\"authors\":\"Zeliu Zheng ,&nbsp;Wentao Song ,&nbsp;Hui Li ,&nbsp;Zhiqiang Deng ,&nbsp;Bisong Hu ,&nbsp;Yuxia Wang ,&nbsp;Fahui Wang\",\"doi\":\"10.1016/j.tbs.2024.100888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Hand foot mouth disease (HFMD) is one of the widespread transmissible diseases that target preschool children, especially in urban regions in East Asia. Based on the mobile app data, a GIS automated regionalization method is used to define regions of various urbanicity levels. The variability of HFMD patients’ travel behaviors across these regions are examined by the complementary cumulative distribution functions (CCDFs). The travel burden in Nanchang increased as the patients’ residences moved toward regions of more rurality. Specifically, more urbanized regions near the city center (i.e., urban core and its surrounding urban) enjoyed better access to the healthcare service by spending an average of about 17-minute drive time. Patients residing in less urbanized regions such as suburbs and downtowns of surrounding rural counties either chose a nearby hospital or journeyed far to the region’s central Children’s Hospital, with average elevated travel time of 25 and 22 min, respectively. Those in rural areas travelled an average of 36 min, the longest among all regions. The study also finds a unique dual-peak pattern across two travel ranges in the study area due to the patients’ dilemma between pursuing high-quality hospitals and accommodating travel burden. Such a pattern mandates the adoption of a segmented regression approach to deriving the best-fitting CCDFs in most regions except for the rural.</p></div>\",\"PeriodicalId\":51534,\"journal\":{\"name\":\"Travel Behaviour and Society\",\"volume\":\"38 \",\"pages\":\"Article 100888\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2214367X24001510/pdfft?md5=182f8680abf268211629666ac761990b&pid=1-s2.0-S2214367X24001510-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Travel Behaviour and Society\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214367X24001510\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Travel Behaviour and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214367X24001510","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

摘要

手足口病(HFMD)是针对学龄前儿童的广泛传播疾病之一,尤其是在东亚的城市地区。基于移动应用程序数据,我们采用地理信息系统(GIS)自动区域化方法定义了不同城市化水平的区域。通过互补累积分布函数(CCDFs)研究了手足口病患者在这些区域内出行行为的变异性。随着患者居住地向郊区移动,南昌的出行负担也随之增加。具体而言,靠近市中心的城市化程度较高的地区(即城市核心及其周边城区)的患者平均花费约 17 分钟的车程就能享受到更好的医疗服务。而居住在城市化程度较低地区(如郊区和周边农村县城的市中心)的患者,要么选择附近的医院,要么远赴该地区的中心儿童医院,平均车程分别为 25 分钟和 22 分钟。农村地区的患者平均需要 36 分钟,是所有地区中最长的。研究还发现,由于患者在追求高质量医院和减轻旅行负担之间左右为难,研究区域的两个旅行范围出现了独特的双峰模式。这种模式要求采用分段回归的方法,以得出除农村地区以外的大多数地区的最佳拟合 CCDF。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Spatial behaviors of HFMD hospital visits across regions of various urbanicity levels in Nanchang, China

Hand foot mouth disease (HFMD) is one of the widespread transmissible diseases that target preschool children, especially in urban regions in East Asia. Based on the mobile app data, a GIS automated regionalization method is used to define regions of various urbanicity levels. The variability of HFMD patients’ travel behaviors across these regions are examined by the complementary cumulative distribution functions (CCDFs). The travel burden in Nanchang increased as the patients’ residences moved toward regions of more rurality. Specifically, more urbanized regions near the city center (i.e., urban core and its surrounding urban) enjoyed better access to the healthcare service by spending an average of about 17-minute drive time. Patients residing in less urbanized regions such as suburbs and downtowns of surrounding rural counties either chose a nearby hospital or journeyed far to the region’s central Children’s Hospital, with average elevated travel time of 25 and 22 min, respectively. Those in rural areas travelled an average of 36 min, the longest among all regions. The study also finds a unique dual-peak pattern across two travel ranges in the study area due to the patients’ dilemma between pursuing high-quality hospitals and accommodating travel burden. Such a pattern mandates the adoption of a segmented regression approach to deriving the best-fitting CCDFs in most regions except for the rural.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
期刊最新文献
Investigating the changes in residential location and commute patterns during the pandemic using smart card data Analysing driver behaviour and crash frequency at railway level crossings using connected vehicle and GIS data Sustainable urban mobility transitions through working from home (WFH) An injury severity-based methodology for assessing priority areas for shared micromobility accident risk mitigation Improving conventional transit services with modular autonomous vehicles: A bi-level programming approach
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1