Modeling the Effectiveness of Infrastructure and Travel Demand Management Measures to Improve Traffic Congestion during Typhoons. Issue 1 (December 2018)
- Record Type:
- Journal Article
- Title:
- Modeling the Effectiveness of Infrastructure and Travel Demand Management Measures to Improve Traffic Congestion during Typhoons. Issue 1 (December 2018)
- Main Title:
- Modeling the Effectiveness of Infrastructure and Travel Demand Management Measures to Improve Traffic Congestion during Typhoons
- Authors:
- Wisetjindawat, Wisinee
Derrible, Sybil
Kermanshah, Amirhassan - Abstract:
- Many commuters find themselves stranded during natural disasters like typhoons. In the Tokai region in Japan, many road sections become heavily congested during typhoons, with some commuters reporting homebound trips taking more than four times longer than usual because of road flooding at several locations. Although large typhoons are considered extreme events (in terms of magnitude), they occur frequently (i.e., several times per year), substantiating the need for better preparedness. Nonetheless, it is impossible to predict exactly which roads are going to be flooded during a typhoon. As a result, in this study, a stochastic modeling approach was used that assigns a failure probability to each road segment based on climate model outputs for the region. Using this stochastic model, the travel time reliability between any given origin–destination pair can be determined. By applying this model to the road network of the Tokai region, two major measures were identified that could be implemented to reduce severe congestion during a typhoon. First, targeted infrastructure management measures can be implemented to strengthen heavily used roads, thus reducing the failure probability of major roads. Second, travel demand management measures can be implemented, such as asking commuters to leave their workplace or school one or two hours after their normal departure time. Overall, it was found that strengthening heavily used roads has a bigger impact in relieving congestion thanMany commuters find themselves stranded during natural disasters like typhoons. In the Tokai region in Japan, many road sections become heavily congested during typhoons, with some commuters reporting homebound trips taking more than four times longer than usual because of road flooding at several locations. Although large typhoons are considered extreme events (in terms of magnitude), they occur frequently (i.e., several times per year), substantiating the need for better preparedness. Nonetheless, it is impossible to predict exactly which roads are going to be flooded during a typhoon. As a result, in this study, a stochastic modeling approach was used that assigns a failure probability to each road segment based on climate model outputs for the region. Using this stochastic model, the travel time reliability between any given origin–destination pair can be determined. By applying this model to the road network of the Tokai region, two major measures were identified that could be implemented to reduce severe congestion during a typhoon. First, targeted infrastructure management measures can be implemented to strengthen heavily used roads, thus reducing the failure probability of major roads. Second, travel demand management measures can be implemented, such as asking commuters to leave their workplace or school one or two hours after their normal departure time. Overall, it was found that strengthening heavily used roads has a bigger impact in relieving congestion than delaying departure time, but that combining both strategies achieves the best results. … (more)
- Is Part Of:
- Transportation research record. Volume 2672:Issue 1(2018)
- Journal:
- Transportation research record
- Issue:
- Volume 2672:Issue 1(2018)
- Issue Display:
- Volume 2672, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 2672
- Issue:
- 1
- Issue Sort Value:
- 2018-2672-0001-0000
- Page Start:
- 43
- Page End:
- 53
- Publication Date:
- 2018-12
- Subjects:
- Transportation -- Periodicals
Roads
Transport -- Périodiques
Routes -- Périodiques
Routes -- Conception et construction -- Périodiques
Roads
Transportation
388.05 - Journal URLs:
- http://catalog.hathitrust.org/api/volumes/oclc/1259379.html ↗
http://trb.org/news/blurb_detail.asp?id=1676 ↗
http://trb.metapress.com/content/0361-1981/ ↗
https://journals.sagepub.com/home/trr ↗
http://www.uk.sagepub.com/home.nav ↗
http://bibpurl.oclc.org/web/31620 ↗ - DOI:
- 10.1177/0361198118791909 ↗
- Languages:
- English
- ISSNs:
- 0361-1981
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9779.xml