Post-Disaster Road Network Resilience Assessment

The impact of natural hazards on communities, from a structural, environmental, social, and economic perspective, is increasing worldwide. Following natural disasters, such as flooding, earthquakes, tsunami, hurricanes, and volcanoes, transportation systems are disrupted resulting in cities, towns, and villages being isolated for a period of time causing post-disaster response issues, evacuation difficulties, accessibilities issues, increased travel costs, and economic losses. New Zealand (NZ) is at risk from different types of hazards and has experienced a variety of disasters in recent years. The source of most disasters in NZ are geological hazards (earthquakes, volcanoes, erosion, and landslide); and meteorological hazards (wind and heavy rainfall). Since 2000, three major earthquakes have occurred in NZ, all in the South Island, causing 184 deaths and an estimated economic loss of US$28.5 billion in damage. The Alpine fault, one of the major fault systems in NZ, extends over 600km in the South Island. There is a high probability of a rupture in the next 50 years, with resulting severe damage to the built environment, especially to infrastructure, predicted. In order to assess the operational performance and resilience of the South Island regional road network following a potential Alpine Fault Magnitude 8 earthquake, this project was funded by the Ministry of Business, Innovation, and Employment (MBIE) under the National Science Challenge (NSC) – Resilience to Nature’s Challenges (RNC) program. Although the physical impact of the AF8 has been studied in detail, there is a paucity of research in the literature assessing the operational performance of the road network following such an event. Only one study has estimated the operational performance of the road network post-disaster without using any transportation simulation model. The main contribution of this research is, therefore, to develop, calibrate and validate a mesoscopic model of the South Island road network and develop a novel approach to assess the resilience of the network following a disaster. To assess the operational resilience of transportation networks following a natural disaster, three approaches have been reported in the literature, namely: conceptual, analytical and a combination of analytical and simulation. A combination of analytical and simulation was chosen for this research. In order to develop the simulation model, the road network from Open Street Map was first imported into the software. The South Island was divided into 541 traffic zones based on NZ geographic unit areas based on census data. An Origin-Destination (OD) matrix was created for light vehicles (commuting and tourism trips) and heavy vehicles (freight trips) based on 2013 census data, land use GIS shapefiles, Regional Tourism Organisation data, and Ministry of Transport data. The model was first calibrated macroscopically against 2013 traffic data as the base year by adjusting the OD matrix separately for light vehicles and heavy vehicles using the matrix estimation and static assignment methods. Then the model was calibrated at the mesoscopic level using the C-Logit based Stochastic Route Choice method. To validate the model in a post-disaster environment, 7-day Average Daily Traffic (ADT) data starting from Day 8 after the 2016 Kaikoura earthquake was applied. Corridor and trip analyses were conducted to assess post-disaster operational performance of the road network. Corridor analysis results indicate a significant increase in traffic count and density, and a minor decrease in average travel speeds on four main corridors namely: SH65, SH63, SH6 (between SH63 and SH65), and SH7 (between SH65 and SH1), serving as the main alternative routes after the earthquake. Trip analysis results show a significant increase in the average travel time from Marlborough to other affected traffic zones (typically 20-50% and as much as 90% in the worst case) due to the increased travel distances on the alternate routes. The calibrated and validated model, therefore, was utilised to estimate the performance of the road network impacted by the Alpine Fault Magnitude 8 earthquake scenario. The trip analysis of one day, one week, six months, and beyond six months after the earthquake indicates that around 2.02%, 1.16%, 0.39%, and 0.13% of total trips, respectively, cannot occur in the South Island due to accessibility issues. Almost all of the inter-district trips from the three main impacted districts, namely Buller, Westland, and Grey, would be cancelled for at least one week after the earthquake. To assess the resilience of road network following a disaster, a novel Normalised Trip Resilience (NTR) measure was proposed incorporating three different dimensions of resilient systems, namely; robustness, redundancy, and recovery. The proposed measure reflects the resilience of trips in percentage for the whole of the recovery period. The Equivalent number of Impacted Trips (EIT) is proposed as a measure of effectiveness to prioritize the importance of OD pairs post-disaster using NTR and flow. The proposed measures were implemented to evaluate the operational performance of New Zealand’s South Island road network in the event of the Alpine Fault Magnitude 8 earthquake scenario. The resulting measures were capable of being calculated from the outputs produced by a transportation simulation model thereby verifying their practicality in real-world situations. The importance of including both robustness (represented by the number of eliminated trips) and redundancy (represented by increased travel time), over the horizon of the post-disaster recovery phase was highlighted. Eliminated trips contributed significantly in areas that were cut off and isolated post-disaster, due to a lack of alternative routes, and increased travel time contributed as more roads were reopened but the alternative routes resulted in increased travel distances and, consequently, travel time.

Name thesis:degree_name

PhD

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Civil and Environmental Engineering

Grantor dc:publisher

ResearchSpace@Auckland

Year dc:date.issued

2021

Author dc:creator

• Aghababaei, Mohammad

Advisors dc:contributor.advisor

• Costello, Seosamh
• Ranjitkar, Prakash

Statement dc:rights

• Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Licence dc:rights.uri

• https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm

Handle dc:identifier.uri

https://hdl.handle.net/2292/54484

OAI identifier oai:identifier

oai:researchspace.auckland.ac.nz:2292/54484