Analysis on the Impact of Restoration Measures “Fukkouwari” to Recovery Process of Tourism Industry in the Kumamoto Earthquake

Matsushita, Noriaki

doi:10.2208/jscejipm.75.1

Cited by 1 publication

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such studies include the impact of earthquake and nuclear disaster on birth rate (Kurita 2019), impact of flood on infectious diseases (Zhang et al 2019), impact of technological disasters (chlorine spill) on primary care access (Runkle et al 2012), increase in suicide trends following an earthquake (Yang et al 2005), impact of natural disasters on capital markets (Worthington and Valadkhani 2004), increase in suicide rates following terrorist attacks (Pridemore et al 2009), impact of flooding on mental health (Milojevic et al 2017), and decrease in the number of tourists in disaster-affected areas (Nishimura et al 2012). In a case study of the 2016 Kumamoto earthquake, Matsushita (2019) examined the impact of a special subsidy system for tourists in the affected area using ITS.…”

Section: Interrupted Time Series Analysis For Impact Evaluationmentioning

confidence: 99%

Increased motor vehicle crashes following the 2016 Kumamoto earthquake, Japan: an interrupted time series analysis of property damage crashes

Maruyama

Taguchi

2021

Nat Hazards

View full text Add to dashboard Cite

Driving after natural disasters entails a substantial amount of stress; therefore, the number of motor vehicle crashes may increase. However, few studies have examined this issue. This study investigated motor vehicle crashes after the 2016 Kumamoto earthquake in Japan. Monthly data about crashes resulting in property damage from 49 municipalities in Kumamoto from 2015 to 2018 were used. An interrupted time series analysis using Poisson or negative binomial regression models was conducted for 49 municipalities; the models were estimated for four classified areas to obtain the robust results. We found that property damage crashes increased significantly in the heavily affected area (Relative Risk (RR) = 1.48, 95% Confidence interval (CI): 1.29, 1.71) and the affected area (RR = 1.25, 95% CI: 1.15, 1.36) after the earthquake. A mountainous area showed a reduction in property damage crashes despite its heavy damage (RR = 0.74, 95% CI: 0.67, 0.82), which can be attributed to the closure of its main gate routes. The unaffected area showed no difference before and after the earthquake. Geographical presentation of the result demonstrates a clear positive association of earthquake damage and increased crashes. The findings of this study highlight the importance of motor-vehicle-crash alerts after an earthquake.

show abstract