Correlation analysis between disease mortality and public transportation coverage: The case of Taiwan

Accessibility is an important concept, not only in transportation but also in healthcare. The World Health Organization (WHO) and the Organization for Economic Cooperation and Development (OECD) have listed the inconvenience of traveling between healthcare facilities and households as one of the cau...

Full description

Saved in:
Bibliographic Details
Main Authors: Wei-Ting Chen, Chung-Yu Chen
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198224003026
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1823864222907367424
author Wei-Ting Chen
Chung-Yu Chen
author_facet Wei-Ting Chen
Chung-Yu Chen
author_sort Wei-Ting Chen
collection DOAJ
description Accessibility is an important concept, not only in transportation but also in healthcare. The World Health Organization (WHO) and the Organization for Economic Cooperation and Development (OECD) have listed the inconvenience of traveling between healthcare facilities and households as one of the causes of health inequalities. This study investigates the correlation between disease mortality and coverage of public transportation by collecting the mortality rate of major diseases during 2017–2019 and the coverage rate of public transit during 2015–2019 to conduct correlation coefficient analysis, hypothesis test, and multiple regression formulation. The results show a negative correlation between disease mortality and public transportation coverage rates. Furthermore, the absolute values of this correlation coefficient for chronic diseases are higher than 0.3 for all considered periods; they are more marked than those of other diseases in the nine selected regions, with a standard deviation of public transport coverage exceeding 10%. In addition, the negative correlation between the crude mortality rate of malignant neoplasms and the public transportation coverage during the same year in Yunlin County is −0.353, which is stronger than that for all nine regions considered, and its corresponding regression mode is valid, the β-coefficient, −0.894. The overall results indicate a difference in health outcomes among districts with various public transport coverage.
format Article
id doaj-art-2a12944020bd4479a2d178a07283f277
institution Kabale University
issn 2590-1982
language English
publishDate 2025-01-01
publisher Elsevier
record_format Article
series Transportation Research Interdisciplinary Perspectives
spelling doaj-art-2a12944020bd4479a2d178a07283f2772025-02-09T05:01:16ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822025-01-0129101316Correlation analysis between disease mortality and public transportation coverage: The case of TaiwanWei-Ting Chen0Chung-Yu Chen1Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin County, Taiwan; Corresponding author.Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin County, TaiwanAccessibility is an important concept, not only in transportation but also in healthcare. The World Health Organization (WHO) and the Organization for Economic Cooperation and Development (OECD) have listed the inconvenience of traveling between healthcare facilities and households as one of the causes of health inequalities. This study investigates the correlation between disease mortality and coverage of public transportation by collecting the mortality rate of major diseases during 2017–2019 and the coverage rate of public transit during 2015–2019 to conduct correlation coefficient analysis, hypothesis test, and multiple regression formulation. The results show a negative correlation between disease mortality and public transportation coverage rates. Furthermore, the absolute values of this correlation coefficient for chronic diseases are higher than 0.3 for all considered periods; they are more marked than those of other diseases in the nine selected regions, with a standard deviation of public transport coverage exceeding 10%. In addition, the negative correlation between the crude mortality rate of malignant neoplasms and the public transportation coverage during the same year in Yunlin County is −0.353, which is stronger than that for all nine regions considered, and its corresponding regression mode is valid, the β-coefficient, −0.894. The overall results indicate a difference in health outcomes among districts with various public transport coverage.http://www.sciencedirect.com/science/article/pii/S2590198224003026Public transportationDisease mortalityMedical accessibility
spellingShingle Wei-Ting Chen
Chung-Yu Chen
Correlation analysis between disease mortality and public transportation coverage: The case of Taiwan
Transportation Research Interdisciplinary Perspectives
Public transportation
Disease mortality
Medical accessibility
title Correlation analysis between disease mortality and public transportation coverage: The case of Taiwan
title_full Correlation analysis between disease mortality and public transportation coverage: The case of Taiwan
title_fullStr Correlation analysis between disease mortality and public transportation coverage: The case of Taiwan
title_full_unstemmed Correlation analysis between disease mortality and public transportation coverage: The case of Taiwan
title_short Correlation analysis between disease mortality and public transportation coverage: The case of Taiwan
title_sort correlation analysis between disease mortality and public transportation coverage the case of taiwan
topic Public transportation
Disease mortality
Medical accessibility
url http://www.sciencedirect.com/science/article/pii/S2590198224003026
work_keys_str_mv AT weitingchen correlationanalysisbetweendiseasemortalityandpublictransportationcoveragethecaseoftaiwan
AT chungyuchen correlationanalysisbetweendiseasemortalityandpublictransportationcoveragethecaseoftaiwan