2021 Volume 9 Issue 1 Pages 20-38
This paper explores the variation properties of trip generation, trip attraction, intrazonal trips, and travel time under transport network disruption in Tenno district in July 2018 due to landslides. The empirical results obtained by using multiple passive transport data show that (1) traffic volume per hour on the National Route 31 went down to around 300 vehicles at maximum due to a large number of short-distance trips traveling between the affected area and a disaster response base, (2) recovery of the train line did not really reduce the travel time on the National Route 31, and the average travel time had been 1.5 times longer compared to that before the disaster for more than two months after the disaster, and (3) travel time variability, which could not be explained by day of week and time of day, had been dominant for the first one month after the disaster.
