NZGS Symposium

Liquefaction exposure and impacts across New Zealand State Highways


New Zealand State Highways are exposed to a range of natural hazards including earthquake triggered liquefaction and lateral spreading. Using a recently developed geospatial model, a framework to assess the liquefaction risk across the State Highway network was proposed, combining liquefaction probability, recurrence and potential socio-economic impact. To demonstrate this framework, liquefaction susceptibility and probability was estimated across the State Highway network for a set of ten earthquake scenarios. Overall exposure was measured for each network section by counting the number of earthquakes that result in a liquefaction probability of 40 % or higher (liquefaction recurrence). In addition, results were linked to the One Network Road Classification (ONRC) in order to quantify the potential socio-economic impact. Model outcomes suggests that network sections with a high liquefaction exposure do not necessarily lead to extensive consequences, and vice versa, suggesting that both exposure and impact are important to evaluate liquefaction risk across the State Highway network. Further research needs to include more seismic events, elaborate on network criticality, such as the consideration of indicators specific to freight movement, and take alternative routes as well as alternative transport modes into account. This research aims to support decision making processes regarding infrastructure investment, emergency planning and prioritisation of post-earthquake reconstruction projects.


Liquefaction and lateral spreading can result in major damage to buildings and infrastructure, such as differential settlement of buildings, distortion of roads, or breakage of buried infrastructure (Mian et al. 2013). Because of the presence of large regions of loose, young soil deposits and high seismic activity, much of New Zealand is prone to liquefaction-induced damage. One example is the 2010-2011 Canterbury earthquake sequence, when liquefaction and lateral spreading caused substantial damage to the built environment, including 60,000 residential houses and major parts of the urban infrastructure systems (Cubrinovski 2013). To estimate the potential extent of affected properties and assets, liquefaction hazard maps are commonly used. However, obtaining information on soil properties, which is required to develop hazard maps, usually involves extensive field investigations (e.g. cone penetration testing) and the application of simplified liquefaction evaluation procedures (Boulanger & Idriss 2014; Zhu et al. 2017). When assessing distributed infrastructure networks, these methods may not be suitable due to cost and time required to adequately characterise long linear extents. In this case, prediction models based on geospatial data can be used as an alternative approach. Zhu et al. (2015, 2017) developed and updated a globally applicable model to predict liquefaction based on geospatial information, such as water table depth and near‑surface shear wave velocity of soil deposits (details provided in the section 2).

The paper uses the Zhu et al. (2017) model to estimate liquefaction susceptibility and probability for ten earthquake events across the New Zealand State Highway network. Because of its large spatial distribution, it can be disrupted in a range of different earthquake scenarios. This paper focusses on sections of the State Highway network that are predicted to be affected by liquefaction in multiple scenarios. Linking the results to the One Network Road Classification (ONRC), a framework to standardise the performance of New Zealand roads, provides further information on potential socio-economic impacts.

Geospatial Liquefaction Model

Zhu et al. (2015, 2017) developed and updated a model based on globally accessible geospatial variables that can be related to liquefaction manifestation. Using logic regression, they evaluated each variable by correlating them to 22 earthquakes in the United States, New Zealand and Asia. They found that a combination of time-averaged shear wave velocity over the first 30 m of the soil profile (VS30, by Wald & Allen (2007)), water table depth (by Fan et al. (2013)), distance to closest water body (HydroSHEDS, OceanColor), precipitation (WorldClim) and peak ground velocity (by Stirling et al. (2012)) leads to the most promising results in terms of predicting the extent of liquefaction manifestation. A common limitation that was observed when applying the Zhu et al. (2017) model to different regions around the globe was the tendency to overestimate liquefaction in areas with high rainfall or for seismic events with large epicentral distances (Baise & Rashidian 2017). Another constraint arises from the input variables, which are retrieved from sources that use simplified methods and provide low resolution in order to achieve global coverage (except for peak ground velocity), possibly leading to spatial inaccuracy when applied on regional or local level. Despite these limitations, the model shows great potential for large scale liquefaction assessments, and proved to perform reasonably well for the 2010 Darfield and 2011 Christchurch earthquake (Baise & Rashidian 2017; Maurer 2017; Zhu et al. 2017).

Earthquake Scenarios

According to GeoNet statistics (n.d.), New Zealand experiences around 20,000 earthquakes per year, around 30 of them result in moderate shaking (magnitude 5 or higher). The events discussed in this paper were chosen based on their (expected) ground shaking intensity and areal distribution, intending to achieve a maximum disruption of the State Highway network. Figure 1 presents the faults (red lines) on which the ruptures are predicted to occur and the location of the State Highways (grey lines). The simulation uses the updated National Seismic Hazard Model for New Zealand developed by Stirling et al. (2012). Each earthquake is expected to lead to a moment magnitude of 6.7 or higher, causing strong ground shaking. The probability of the rupture in the next 50 years ranges from 0.4 % (Wairoa North Fault) to 16 % (Hope Fault). Except from the Pahaua Fault, all faults are on-shore. Five of the faults are located in the North Island (Figure 1a), with the highest probability in 50 years being the Wairarapa Fault (4.1 %) and the Wellington Fault (5.8 %), both affecting the southern part of the North Island. On the Wairarapa Fault, a magnitude 8 + rupture occurred in 1855, which is assumed to be the largest seismic event in New Zealand since European settlement (Rodgers & Little 2006). “Napier 1931” refers to the Hawke’s Bay earthquake in 1931, the most destructive earthquake in terms of casualties in New Zealand (NZMCH 2017).

The remaining earthquakes are on four faults in the South Island (Figure 1b) with the Wairau Fault, Awatere Fault and Hope Fault primarily affecting the northern part of the island, and the Alpine Fault extending down the majority of the West Coast. The Alpine Fault is one of the longest (approx. 850km) and fastest moving plate boundary transform faults in the world (Berryman et al. 2012). A rupture propagating northwards (Fiordland to Kaniere) is expected to result in severe ground shaking (magnitude 7.9) and to affect much of the South Island infrastructure networks. The probability of an Alpine Fault earthquake in the next 50 years is 14 % based on the simulation model used in this paper (Stirling et al. 2012); however, research relying on other models suggests probabilities up to 29 % (Sutherland et al. 2006).

Figure 1: Location of faults (including magnitude M of rupture) and State Highways on the (a) North Island and (b) South Island, New Zealand.

All ten earthquakes result in strong ground shaking covering large areas of the State Highway network. The location of the faults indicates that State Highways in the northern central and southern part of the North Island, as well as in the west northern part of the South Island are more likely to be affected by at least one of the earthquake scenarios. However, this information is not sufficient to properly evaluate liquefaction exposure as soil properties vary across the country. Liquefaction susceptibility and probability also need to be calculated for each part of the network in order to identify the State Highways that could be affected.

Liquefaction Exposure of the State Highway Network

The State Highway network is converted into a point feature class by creating points along the road centrelines with a spacing of 100 m. This high resolution allows for a detailed assessment of the network on both a national and regional level. Liquefaction susceptibility and liquefaction probability (for the ten earthquake scenarios) is then calculated for each point using the Zhu et al. (2017) model.

Liquefaction Susceptibility

Annual precipitation, water table depth, distance to closest water body, and VS30 are used to calculate liquefaction susceptibility for each State Highway point following the Zhu et al. (2017) approach. Figure 2a shows the liquefaction susceptibility map of the entire State Highway network. On a national scale, hotspots can be observed in the central area of the North Island and along both the East and West Coasts of the South Island. In general, parts of the network which are close to the coast seem to be more susceptible than parts located inland. This is a result of the input variable distance to water accounting for higher ground saturation, which is a main indicator for liquefaction susceptibility (Zhu et al. 2017). Focussing on Wellington and Christchurch on a regional level, emphasises that other factors contributing to saturation, such as water table depth, are relevant to susceptibility as well. Although both cities are in close proximity to water, the State Highways in Christchurch appear to be more susceptible to liquefaction than the State Highways in Wellington (except for southern end of the State Highway headed to CentrePort). Christchurch is situated on a sedimentary basin with low lying alluvial soil and a shallow groundwater level, increasing the likelihood of liquefaction across major parts of the State Highway network (Cubrinovski 2013).

Figure 2: Hazard maps of New Zealand State Highways showing (a) liquefaction susceptibility and (b) liquefaction recurrence based on a liquefaction probability of 40 % and above.

The assessment of liquefaction susceptibility is the first step to understanding the potential exposure of the infrastructure network on both a national and regional level. However, high susceptibility does not necessarily lead to high probability. State Highways which are highly susceptible to liquefaction but not prone to strong ground shaking may be less important for the hazard evaluation than less susceptible State Highways with a higher exposure to high intensity motions (Glassey & Heron 2012). Therefore, it is important to link the susceptibility results with ground shaking intensity in order to estimate liquefaction probability for each earthquake.

Liquefaction Probability and Recurrence

Using the point format of the State Highways network, liquefaction probability is calculated for the ten ground shaking events leading to ten different liquefaction probability maps. In order to link the events to a combined hazard map, the number of earthquakes which result in a predicted liquefaction probability of 40 % or above is calculated in each network point. The percentage is chosen based on the results of a receiver operating characteristic analysis of liquefaction observation data from the Canterbury earthquake sequence, suggesting that a threshold of 40 % leads to the best prediction outcome regarding the question of whether liquefaction manifests or does not manifest. The recurrence value allows evaluation of liquefaction probability in a broader sense rather than in the context of a single event. Points are merged back to line features (sections) to represent the link between two State Highway intersections. The liquefaction recurrence of each section equals the maximum point value along the section. Although the section format has its limitations as it conceals the critical points along the section and tends to overestimates the recurrence value of longer sections, this format has been used because it better represents the features of a network (nodes and links) and because it is more compliant with the One Network Road Classification (ONRC) discussed in the following section.

Figure 2b shows the recurrence map for the entire State Highway network. Low values can be observed in the north and in the lower central part of the North Island, as well as in the southern areas of the South Island. It is expected that these sections are unlikely to experience liquefaction manifestation and potential damage caused by any of the ten earthquake scenarios due to low susceptibility (Figure 2a) and limited exposure to high intensity ground motions (Figure 1). Moderate liquefaction recurrence (where around three of the ten earthquakes result in a liquefaction probability of 40 % or higher) can be found in the upper central part of the North Island, around Wellington and along one of the State Highways connecting the East and West coasts of the South Island. All these sections are highly susceptible to liquefaction and relatively close to faults. High recurrence (up to six out of the ten earthquakes result in a liquefaction probability of 40 % or higher) occurs mainly in the north and north western region of the South Island. These sections are in very close vicinity to the causative faults of these events, leading to high probability and recurrence even for sections with lower susceptibility, such as some inland State Highways on the South Island.

A closer look at Christchurch shows that despite a consistently high susceptibility for all the State Highways, the link heading to the North seems to be the most exposed section in this area. The reasons for this are both the length of the section and direct crossings of the Wairau, Awatere and Hope Faults. A similar observation can be made for Wellington: Most of the network has a low to moderate susceptibility, but considering the recurrence results, the State Highways in the Upper Hutt are more likely to be affected by liquefaction than the State Highways closer to the city (Lower Hutt).

The liquefaction susceptibility and liquefaction recurrence map provide valuable information about exposed State Highways on a national and regional scale. It should be noted that the set of earthquakes chosen for the assessment is very limited. Events on other faults need to be included to capture the full extent of seismic hazards and liquefaction potential. Nevertheless, the results show that a combined analysis of susceptibility, probability and recurrence can provide a suitable framework to assess liquefaction exposure.

Potential Impact on Network Performance

In order to better understand liquefaction impact, potential socio-economic consequences as a result of disrupted network sections have to be included to the assessment. A strong earthquake may cause damage to various sections of the State Highway, but may not affect a large number of people or businesses and thus, not have a large socio-economic impact. On the other hand, the outage of a short but important section may significantly impede the traffic flow.

This paper uses the One Network Road Classification (ONRC) as a measure for network criticality. The ONRC is a framework developed by the New Zealand Transport Agency (NZTA) to support the management of New Zealand’s road network. It is based on indicators such as average daily traffic, population linked to the network and relevance for tourism. The classification consists of seven categories ranging from access (small roads which provide access to local facilities and the wider road network) to national high volume (major roads linking large population centres and transportations hubs) (NZTA 2013). Figure 3a presents the State Highways network categorised by ONRC, which uses a section format (road between two intersections) similar to the format introduced earlier in this paper. As State Highways generally have higher significance compared to local roads, the access category is not represented here. On the North Island, State Highways connecting the Auckland region and the Wellington region are classified national or national high volume. These sections are critical to the social and economic wellbeing as they link major populations (> 100,000) and carry large numbers of heavy commercial vehicles. On the South Island, the State Highway along the east coast is the most significant, being classified national and national high volume (Christchurch). It connects most of the hubs including larger cities, airports and seaports. State Highways on the South Island classified as regional or arterial (connecting the east and west coast, or located along the west coast) are primarily used for tourism.

To link the ONRC with the outcome of the liquefaction exposure assessment, a numerical value from 1 (secondary collector) to 6 (national high volume) is assigned to each ONRC category. The liquefaction impact is then calculated by multiplying the liquefaction recurrence (numerical value between 0 and 6 representing the number of earthquakes that result in a liquefaction probability of 40 % or higher) with the ONRC indicator. A lower number represents lower impact meaning it is unlikely that a large number of people or businesses will be affected by a State Highway disruption as a result of liquefaction induced damage. On the other hand, a higher number represents higher impact, e.g. where a State Highway to a major city or seaport becomes unavailable. Figure 3 illustrates liquefaction impact measured for the entire State Highway network. On a national scale, the sections with low liquefaction recurrence also lead to low impact (northern and lower central area of the North Island, and south eastern area of the South Island). Moderate impact can be found for the upper central part of North Island and the West Coast of the South Island. While the results for the State Highways on the North Island are more influenced by higher criticality (regional to national high volume), the outcome of the network sections on the South Island is instead driven by higher exposure. The State Highways with the highest impact are located along the northern and north eastern coasts of the South Island. These sections show both relatively high liquefaction recurrence and network criticality.

Figure 3: (a) One Network Road Classification (ONRC) and (b) liquefaction impact map of New Zealand State Highways.

The impact assessment demonstrates that some State Highways with moderate to high liquefaction recurrence (e.g. in the west central area of the South Island) do not necessarily result in high impact; thus, may not need to be prioritised during decision making processes regarding infrastructure investment or post-earthquake reconstruction. However, the lack of alternative routes along the West Coast of the South Island restricting the accessibility for emergency vehicles, emphasises the need for other factors to be included in the criticality and impact assessment. Attention should also be paid to State Highways with lower liquefaction occurrence but high network criticality according to ONRC (e.g. in the upper central part of the North Island). Although the likelihood of a disruption caused by liquefaction is rather low, the consequences would affect a large number of people and businesses. These examples show that both exposure and impact are essential in order to understand the overall liquefaction risk and to make more appropriate decisions for the State Highway network.


Applying the geospatial model by Zhu et al. (2017), liquefaction susceptibility and liquefaction probability of ten earthquake scenarios across New Zealand was calculated. Liquefaction recurrence – the number of earthquakes that result in a 40 % or higher chance of liquefaction manifestation – was used to combine the events and quantify the overall exposure. The One Network Road Classification (ONRC) was used as an indicator for network criticality to assess liquefaction impact. The results showed that both exposure and impact need to be considered to properly evaluate liquefaction risk across the State Highway network.

Further research needs to include more earthquake scenarios. The ten events discussed in this paper are appropriate examples to demonstrate the impact of major earthquakes (magnitude 6.7 or higher); however, all earthquakes that could potentially cause damage to State Highway sections should be assessed. In addition, more research on network criticality is required. Apart from the One Network Road Classification (ONRC), which works reasonably well to describe general criticality, other indicators more specific to transport services, such freight volume and value, or type of commodity, should also be considered to identify what business sectors (e.g. dairy, coal etc.) could be affected and to what extent (e.g. monetary loss). Another important aspect is the availability of alternative routes. The lack of redundant routes linking certain locations increases the criticality of a State Highway section in case of an event. In the same context, alternative transport modes (rail or coastal shipping) could also be part of future research. Rail often follows the path of State Highways and coastal shipping is less dependent on soil conditions (assuming harbours are able to operate). These options improve network redundancy and should be accounted for in a broader impact assessment.

This paper introduced an approach to estimate liquefaction exposure and impacts across New Zealand State Highways by combining the output of a geospatial liquefaction model and the ONRC. Increasing the number of ground shaking events, elaborating on the criticality factors and taking alternative routes and transport modes into account can help improve the results of this research, which can be used to support decision making processes regarding infrastructure investment, emergency planning, and prioritisation of post-earthquake reconstruction projects.


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Tags : #earthquake#Lateral spreading#Liquefaction

NZGS Symposium
A. Lin, B Bradley, D. Blake, J. Motha, L. Wotherspoon
NZGS Symposium>21st NZGS Symposium
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