Smeed’s law and the role of hospitals in modeling traffic accidents and fatalities in Japan
Yueh-Tzu Lu and
Mototsugu Fukushige ()
Additional contact information
Yueh-Tzu Lu: National Cheng Kung University
Asia-Pacific Journal of Regional Science, 2019, vol. 3, issue 2, No 2, 319-332
Abstract We applied Smeed’s law to Japanese prefectural data. We found that while the coefficient for the number of vehicles was stable throughout the estimation period, the constant term gradually decreased. We then decomposed fatalities per capita into fatalities per accident and accidents per capita, and applied regression analysis to the data. We found the following. First, the relationship between fatalities per capita and the number of registered vehicles per capita was stable. Second, the effects of technological advances have changed the estimated coefficients for the time dummies. Finally, the role of hospitals may be difficult to incorporate into Smeed’s law.
Keywords: Smeed’s law; Traffic accidents; Fatalities; Hospitals; Japan (search for similar items in EconPapers)
JEL-codes: L92 R41 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s41685-018-0097-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:apjors:v:3:y:2019:i:2:d:10.1007_s41685-018-0097-x
Ordering information: This journal article can be ordered from
https://www.springer ... cience/journal/41685
Access Statistics for this article
Asia-Pacific Journal of Regional Science is currently edited by Yoshiro Higano
More articles in Asia-Pacific Journal of Regional Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().