DAVID BENNETT to the Minister of Finance: How is the Government's economic programme supporting stronger regional job growth? Hon SHANE JONES to the Minister of Commerce: Is he aware of demands being made by the Countdown supermarket group for retrospective payments from New Zealand suppliers, with threats Countdown will not stock their products? JULIE ANNE GENTER to the Minister for Economic Development: Why is the Government holding up economic development in Auckland's CBD, according to Auckland City officials, by delaying the opening of the City Rail Link until 2025? ALFRED NGARO to the Minister for Social Development: What reports has she received about the state of the nation in relation to social outcomes? DENIS O'ROURKE to the Minister for Canterbury Earthquake Recovery: Is he aware of any proposals to transport asbestos-contaminated material from the Christchurch rebuild to sub-standard landfills? Hon ANNETTE KING to the Minister of Health: Is he satisfied New Zealanders are receiving timely and affordable healthcare? MARK MITCHELL to the Minister of Housing: What reports has he received on positive progress being advanced on the Government's housing agenda? DARIEN FENTON to the Minister of Labour: Does he agree with the Prime Minister's statement on the minimum wage that "I think we've been pretty fair in what we've done in the past and we probably will be in the future"? CLAUDETTE HAUITI to the Minister of Science and Innovation: How are the National Science Challenges bringing together the best scientific talent across New Zealand? HONE HARAWIRA to the Minister for Economic Development: Will he commit to spending the $41m on reducing child poverty, after signalling that he might not now give that money to Team New Zealand to compete in the next America's Cup? Dr RAJEN PRASAD to the Minister of Immigration: When he said in response to an oral question on 29 January 2014 that it was "a pretty simple process…to alert immigration authorities", what was his understanding of the process a complainant would go through? CHRIS AUCHINVOLE to the Associate Minister of Transport: What progress is being made in improving road safety?
TE URUROA FLAVELL to the Minister of Justice: Is she satisfied with the Electoral Commission's engagement with whanau, hapū, iwi and marae around the 2013 Māori Electoral Option; if so, what advice has she received that would explain why halfway through the process there are only 5,000 new enrolments?
DAVID SHEARER to the Prime Minister: On what date was he, his office or the Department of Prime Minister and Cabinet first informed that David Henry would not meet his deadline of the end of May as set out in the terms of reference for reporting back and what reason did Mr Henry provide for the delay?
KATRINA SHANKS to the Minister of Finance: What do recent indicators show about the economy's performance this year and its outlook for the next three to four years?
DAVID SHEARER to the Prime Minister: Has he received any information that shows foreign intelligence agencies are routinely collecting emails, other communication or location data on New Zealand citizens and residents while they are in New Zealand; if so, has the resulting information been passed on to the Government Communications Security Bureau?
ALFRED NGARO to the Minister of Education: What recent announcement has she made about achievement against National Standards?
METIRIA TUREI to the Minister for Economic Development: Will the Government sign the legal contract between it and SkyCity for the SkyCity Convention Centre this week; if not, when will it sign this agreement?
JAMI-LEE ROSS to the Minister of Housing: What policy conclusions, if any, does the Government draw from Priced Out – How New Zealand Lost its Housing Affordability and how consistent are its findings with those of the 2012 Productivity Commission Report on housing affordability?
Hon ANNETTE KING to the Minister of Health: Does he stand by all his statements on health; if not, why not?
NICKY WAGNER to the Minister for Canterbury Earthquake Recovery: How will the Government support the redevelopment and repopulation of the Christchurch Central Business District following the Canterbury earthquakes?
CHRIS HIPKINS to the Minister of Education: Is she confident that the National Standards data being released today gives an accurate picture of student progress; if not, why not?
Rt Hon WINSTON PETERS to the Prime Minister: Did he discuss with David Henry the requirement for Mr Henry to see the full unedited electronic record connected with the Kitteridge report leak; if not, why not?
JOHN HAYES to the Minister of Customs: What information has he received regarding the success of automated passenger processing systems at the border?
The context of this study is the increasing need for public transport as issues over high private vehicle usage are becoming increasingly obvious. Public transport services need to compete with private transport to improve patronage, and issues with reliability need to be addressed. Bus bunching affects reliability through disruptions to the scheduled headways. The purpose of this study was to collect and analyse data to compare how travel time and dwell time vary, to explore the variation of key variables, and to better understand the sources of these variations. The Orbiter bus service in Christchurch was used as a case study, as it is particularly vulnerable to bus bunching. The dwell time was found to be more variable than travel time. It appeared the Canterbury earthquake had significantly reduced the average speeds for the Orbiter service. In 1964, Newell and Potts described a basic bus bunching theory, which was used as the basis for an Excel bus bunching model. This model allows input variables to vary stochastically. Random values were generated from four specified distributions derived from manually collected data, allowing variance across all bus platforms and buses. However the complexity resulted in stability and difficulty in achieving convergence, so the model was run in single Monte Carlo simulations. The outputs were realistic and showed a higher degree of bunching behaviour than previous models. The model demonstrated bunching phenomena that had not been observed in previous models, including spontaneously un-pairing, overtaking of buses delayed at platforms, and odd-numbered bunches of three buses. Furthermore, the study identified areas of further research for data collection and model development.
TODD McCLAY to the Minister of Finance: What recent reports has he received on the Government’s financial position?
Dr RUSSEL NORMAN to the Prime Minister: Does he stand by his statement that “if you go and have a look at the tax cuts, they literally were neutral” and, if so, what is the projected net cost of the first four years of the 2010 tax package?
DAVID SHEARER to the Prime Minister: Does he have confidence in all his Ministers?
Dr PAUL HUTCHISON to the Associate Minister of Health: How will young New Zealanders receive better mental health services under the new Government package announced by the Prime Minister today?
Hon DAVID PARKER to the Minister for Land Information: Has he or any other Minister this week sought further information on Shanghai Pengxin’s application for his approval to buy the Crafar farms, and if so, is it coincidence or purpose that this will further delay his decision on the application?
NIKKI KAYE to the Minister of Education: What initiatives is she introducing to help schools tackle youth mental health?
JULIE ANNE GENTER to the Minister of Transport: Has the Government reviewed its highway building programme in light of the warning in the briefing to the incoming Minister that there will be a $4.9 billion funding shortfall if oil prices remain high and economic growth remains low; if not, why not?
CHARLES CHAUVEL to the Minister of Justice: Does she stand by all the answers she has given to questions asked of her to date?
NICKY WAGNER to the Minister for Economic Development: What action has the Government taken to contribute to the recovery of high-tech businesses in Christchurch?
Hon LIANNE DALZIEL to the Minister for Canterbury Earthquake Recovery: When will he approve a Recovery Plan for Christchurch’s CBD in light of the Christchurch City Council’s announcement that it will commence its Annual Plan processes next week?
Rt Hon WINSTON PETERS to the Prime Minister: Does he have confidence in the Overseas Investment Office and his Ministers, Hon Jonathan Coleman and Hon Maurice Williamson over the issue of the latest Crafar farms deal; if so, why?
CLARE CURRAN to the Prime Minister: What did he mean when he told the NZ Herald and other media last week that “We are comfortable with the current arrangements we have” with regards to Chinese telco Huawei’s involvement in our national broadband infrastructure, given that Australian Prime Minister Julia Gillard also said last week that “We’ve taken a decision in the national interest” to ban Huawei from even tendering for its broadband network?
Questions to Members
Hon DAVID PARKER to the Chairperson of the Finance and Expenditure Committee: Is it his intention to call the Treasury to appear before the committee to comment on the Report from the Controller and Auditor-General on The Treasury: Implementing and managing the Crown Retail Deposit Guarantee Scheme; if not, why not?
METIRIA TUREI to the Minister for the Environment: Ki Te Minita mō Te Taiao: Ka tukua e ngā paerewa e whakaarohia akehia nei mō te pai ake o te wai i roto i te pūhera Wai Mā, te kaha kē atu, te iti kē iho rānei o te uru atu o te tūkinotanga ki roto i ō tātou awa wai, e ngā mea whakakapi?
Translation: Do the proposed standards for water quality in the Clean Water package allow more pollution or less to enter our waterways than the ones they will replace?
BRETT HUDSON to the Minister of Finance: How much is the Government committing to spend on infrastructure over the next 4 years?
ANDREW LITTLE to the Prime Minister: Given his predecessor told the Pike River families, “I’m here to give you absolute reassurance we’re committed to getting the boys out, and nothing’s going to change that”, when, if ever, will he be announcing the re-entry of the drift?
STUART SMITH to the Minister of Transport: What announcements has he made recently regarding the Government’s commitment to reinstate key transport links following the Kaikōura earthquake?
JACINDA ARDERN to the Minister for Children: When was she first notified that the Ministry for Vulnerable Children Oranga Tamariki, or its predecessor CYF, were placing children and younger persons in a hotel or motel for short-term care without a supervisor, and what was her first action, if any?
MELISSA LEE to the Minister of Health: Can he confirm that 55,000 care and support workers will share in the $2 billion pay equity settlement announced on 18 April 2017?
GRANT ROBERTSON to the Minister of Finance: Does he agree with the Dominion Post editorial that his Government has “singularly failed to answer the pressures of Auckland”; if not, why does he think they would write this?
ANDREW BAYLY to the Minister for Building and Construction: How do the latest reports on the level of building activity in Auckland and nationwide for the month, quarter, and year compare with 2016?
Rt Hon WINSTON PETERS to the Prime Minister: Does he stand by all his statements; if so, how?
PHIL TWYFORD to the Minister of Transport: Why has the completion of the $2.4 billion Western Ring Route been delayed, and when can Aucklanders expect the new motorway to be open?
EUGENIE SAGE to the Minister of Conservation: Is it Government policy to increase the logging of native forests on West Coast conservation land?
Dr MEGAN WOODS to the Minister supporting Greater Christchurch Regeneration: Does she agree that the first homes in the East Frame will be completed 5 months ahead of schedule?
Questions to Members
CLARE CURRAN to the Chairperson of the Commerce Committee: Does she intend to call for further submissions on the petition of Dame Fiona Kidman before it is reported back to the House, in light of the recently released footage shot inside the drift of the Pike River mine?
JAN TINETTI to the Minister of Education: What actions has the Government taken to increase the number of New Zealanders participating in vocational education? Hon PAUL GOLDSMITH to the Minister of Finance: What measures, if any, does he have in place to ensure New Zealanders receive good value for money from the Government’s major spending initiatives? Hon JUDITH COLLINS to the Minister of Housing: Will there be any further delays to the conclusion of the KiwiBuild reset, including due to the resignation of the KiwiBuild head of delivery? Dr DUNCAN WEBB to the Minister for Courts: What recent reports has he seen regarding the Canterbury Earthquakes Insurance Tribunal? Hon NIKKI KAYE to the Associate Minister of Education: Does she stand by her statement regarding learning support coordinator allocations, “I’m pleased, I’m really pleased. I know there are people complaining, and that’s OK. We seem to live in a world where somebody’s got to complain about everything”? Hon MARK MITCHELL to the Minister responsible for Pike River Re-entry: Does he stand by all his statements, policies, and actions on the Pike River Mine? ANGIE WARREN-CLARK to the Minister for the Environment: What action is the Government taking to enhance urban development and protect elite soils? TODD MULLER to the Minister of Agriculture: Does he have confidence in New Zealand’s agricultural sector? Hon DAVID BENNETT to the Minister of Corrections: Does he stand by his statement, “We have never had to manage a prisoner like this before”, in relation to the alleged Christchurch gunman? JENNY MARCROFT to the Minister for Infrastructure: What recent announcements has he made regarding the New Zealand Infrastructure Commission-Te Waihanga? BRETT HUDSON to the Minister of Transport: Can he rule out any further increases in transport taxes or charges under this Government? DENISE LEE to the Minister for Women: Why did she say yesterday that the equal pay legislation was in select committee when it was reported back on 13 May, and has been sitting on the Order Paper for three months?
Observations in major earthquakes have shown that rockable structures suffered less to no damage. During rocking, that is, partial and temporary footing separations, the influx of seismic energy is interrupted and thus the impact of the base excitation is reduced. Rocking causes the structure to deform more rigid like. Consequently, the structure experiences less deformation along the height and thus a lower damage potential. Although many researchers have studied the influence of rockable footings, most of these are either analytical or numerical, and only a very few structures have been built with rockable footings worldwide, for example, the chimney at Christchurch Airport and the South Rangitikei Viaduct in New Zealand. Despite these studies, a thorough and understanding is not yet available, especially with respect to experimental validations. This work is the first to investigate the rocking behaviour of bridges with different slenderness using large‐scale shake table experiments. To limit the number of influence factors, a stiff footing support and the same fixed‐base fundamental frequency of the bridges were assumed. The result shows that the girder displacement and the footing rotation of the tall bridge do not always move in phase, which cannot be observed in the short bridge. The results demonstrate the important role of slenderness in the overall responses of rockable bridges. This behaviour cannot be observed in bridges with a commonly assumed fixed base since the slenderness effect cannot be activated.
We measure the longer-term effect of a major earthquake on the local economy, using night-time light intensity measured from space, and investigate whether insurance claim payments for damaged residential property affected the local recovery process. We focus on the destructive Canterbury Earthquake Sequence (CES) 2010 -2011 as our case study. Uniquely for this event, more than 95% of residential housing units were covered by insurance, but insurance payments were staggered over 5 years, enabling us to identify their local impact. We find that night-time luminosity can capture the process of recovery and describe the recovery’s determinants. We also find that insurance payments contributed significantly to the process of economic recovery after the earthquake, but delayed payments were less affective and cash settlement of claims were more effective than insurance-managed repairs in contributing to local recovery.
We measure the longer-term effect of a major earthquake on the local economy, using night-time light intensity measured from space, and investigate whether insurance claim payments for damaged residential property affected the local recovery process. We focus on the destructive Christchurch earthquake of 2011 as our case study. In this event more than 95% of residential housing units were covered by insurance, but insurance payments were staggered over 5 years, enabling us to identify their local impact. We find that night-time luminosity can capture the process of recovery and describe the recovery’s determinants. We also find that insurance payments contributed significantly to the process of economic recovery after the earthquake, but delayed payments were less affective and cash settlement of claims were more affective in contributing to local recovery than insurance-managed rebuilding.
In this thesis, focus is given to develop methodologies for rapidly estimating specific components of loss and downtime functions. The thesis proposes methodologies for deriving loss functions by (i) considering individual component performance; (ii) grouping them as per their performance characteristics; and (iii) applying them to similar building usage categories. The degree of variation in building stock and understanding their characteristics are important factors to be considered in the loss estimation methodology and the field surveys carried out to collect data add value to the study. To facilitate developing ‘downtime’ functions, this study investigates two key components of downtime: (i) time delay from post-event damage assessment of properties; and (ii) time delay in settling the insurance claims lodged. In these two areas, this research enables understanding of critical factors that influence certain aspects of downtime and suggests approaches to quantify those factors. By scrutinising the residential damage insurance claims data provided by the Earthquake Commission (EQC) for the 2010- 2011 Canterbury Earthquake Sequence (CES), this work provides insights into various processes of claims settlement, the time taken to complete them and the EQC loss contributions to building stock in Christchurch city and Canterbury region. The study has shown diligence in investigating the EQC insurance claim data obtained from the CES to get new insights and build confidence in the models developed and the results generated. The first stage of this research develops contribution functions (probabilistic relationships between the expected losses for a wide range of building components and the building’s maximum response) for common types of claddings used in New Zealand buildings combining the probabilistic density functions (developed using the quantity of claddings measured from Christchurch buildings), fragility functions (obtained from the published literature) and cost functions (developed based on inputs from builders) through Monte Carlo simulations. From the developed contribution functions, glazing, masonry veneer, monolithic and precast concrete cladding systems are found to incur 50% loss at inter-storey drift levels equal to 0.027, 0.003, 0.005 and 0.011, respectively. Further, the maximum expected cladding loss for glazing, masonry veneer, monolithic, precast concrete cladding systems are found to be 368.2, 331.9, 365.0, and 136.2 NZD per square meter of floor area, respectively. In the second stage of this research, a detailed cost breakdown of typical buildings designed and built for different purposes is conducted. The contributions of structural and non- structural components to the total building cost are compared for buildings of different usages, and based on the similar ratios of non-structural performance group costs to the structural performance group cost, four-building groups are identified; (i) Structural components dominant group: outdoor sports, stadiums, parkings and long-span warehouses, (ii) non- structural drift-sensitive components dominant group: houses, single-storey suburban buildings (all usages), theatres/halls, workshops and clubhouses, (iii) non-structural acceleration- sensitive components dominant group: hospitals, research labs, museums and retail/cold stores, and (iv) apartments, hotels, offices, industrials, indoor sports, classrooms, devotionals and aquariums. By statistically analysing the cost breakdowns, performance group weighting factors are proposed for structural, and acceleration-sensitive and drift-sensitive non-structural components for all four building groups. Thus proposed building usage groupings and corresponding weighting factors facilitate rapid seismic loss estimation of any type of building given the EDPs at storey levels are known. A model for the quantification of post-earthquake inspection duration is developed in the third stage of this research. Herein, phase durations for the three assessment phases (one rapid impact and two rapid building) are computed using the number of buildings needing inspections, the number of engineers involved in inspections and a phase duration coefficient (which considers the median building inspection time, efficiency of engineer and the number of engineers involved in each assessment teams). The proposed model can be used: (i) by national/regional authorities to decide the length of the emergency period following a major earthquake, and estimate the number of engineers required to conduct a post-earthquake inspection within the desired emergency period, and (ii) to quantify the delay due to inspection for the downtime modelling framework. The final stage of this research investigates the repair costs and insurance claim settlement time for damaged residential buildings in the 2010-2011 Canterbury earthquake sequence. Based on the EQC claim settlement process, claims are categorized into three groups; (i) Small Claims: claims less than NZD15,000 which were settled through cash payment, (ii) Medium Claims: claims less than NZD100,000 which were managed through Canterbury Home Repair Programme (CHRP), and (iii) Large Claims: claims above NZD100,000 which were managed by an insurance provider. The regional loss ratio (RLR) for greater Christchurch for three events inducing shakings of approximate seismic intensities 6, 7, and 8 are found to be 0.013, 0.066, and 0.171, respectively. Furthermore, the claim duration (time between an event and the claim lodgement date), assessment duration (time between the claim lodgement day and the most recent assessment day), and repair duration (time between the most recent assessment day and the repair completion day) for the insured residential buildings in the region affected by the Canterbury earthquake sequence is found to be in the range of 0.5-4 weeks, 1.5- 5 months, and 1-3 years, respectively. The results of this phase will provide useful information to earthquake engineering researchers working on seismic risk/loss and insurance modelling.
A natural disaster will inevitably strike New Zealand in the coming years, damaging educational facilities. Delays in building quality replacement facilities will lead to short-term disruption of education, risking long-term inequalities for the affected students. The Christchurch earthquake demonstrated the issues arising from a lack of school planning and support. This research proposes a system that can effectively provide rapid, prefabricated, primary schools in post-disaster environments. The aim is to continue education for children in the short term, while using construction that is suitable until the total replacement of the given school is completed. The expandable prefabricated architecture meets the strength, time, and transport requirements to deliver a robust, rapid relief temporary construction. It is also adaptable to any area within New Zealand. This design solution supports personal well-being and mitigates the risk of educational gaps, PTSD linked with anxiety and depression, and many other mental health disorders that can impact students and teachers after a natural disaster.
The Mѡ=7.1 Darfield (Canterbury) earthquake struck on 4 September 2010, approximately 45 km west of Christchurch, New Zealand. It revealed a previously unknown fault (the Greendale fault) and caused billions of dollars of damage due to high peak ground velocities and extensive liquefaction. It also triggered the Mw=6.3 Christchurch earthquake on 22 February 2011, which caused further damage and the loss of 185 lives. The objective of this research was to determine the relationship between stress and seismic properties in a seismically active region using manually-picked P and S wave arrival times from the aftershock sequence between 8 September 2010-13 January 2011 to estimate shear-wave splitting (SWS) parameters, VP =VS-ratios, anisotropy (delay-time tomography), focal mechanisms, and tectonic stress on the Canterbury plains. The maximum horizontal stress direction was highly consistent in the plains, with an average value of SHmax=116 18 . However, the estimates showed variation in SHmax near the fault, with one estimate rotating by as much as 30° counter-clockwise. This suggests heterogeneity of stress at the fault, though the cause remains unclear. Orientations of the principal stresses predominantly indicate a strike-slip regime, but there are possible thrust regimes to the west and north/east of the fault. The SWS fast directions (ø) on the plains show alignment with SHmax at the majority of stations, indicating stress controlled anisotropy. However, structural effects appear more dominant in the neighbouring regions of the Southern Alps and Banks Peninsula.
The major earthquakes of 2010 and 2011 brought to an abrupt end a process of adaptive reuse, revitalisation and gentrification that was underway in the early 20th century laneways and buildings located in the south eastern corner of the Christchurch Central Business District. Up until then, this location was seen as an exemplar of how mixed use could contribute to making the central city an attractive and viable alternative to the suburban living experience predominant in New Zealand.
This thesis is the result of a comprehensive case study of this “Lichfield Lanes” area, which involved in depth interviews with business owners, observation of public meetings and examination of documents and the revitalisation research literature. Findings were that many of the factors seen to make this location successful pre-earthquakes mirror the results of similar research in other cities. These factors include: the importance of building upon historic architecture and the eclectic spaces this creates; a wide variety of uses generating street life; affordable rental levels; plus the dangers of uniformity of use brought about by focussing on business types that pay the most rent. Also critical is co-operation between businesses to create and effectively market and manage an identifiable precinct that has a coherent style and ambience that differentiates the location from competing suburban malls. In relation to the latter, a significant finding of this project was that the hospitality and retail businesses key to the success of Lichfield Lanes were not typical and could be described as quirky, bohemian, chaotic, relatively low rent, owner operated and appealing to the economically important “Creative Class” identified by Richard Florida (2002) and others. In turn, success for many of these businesses can be characterised as including psychological and social returns rather than simply conventional economic benefits. This has important implications for inner city revitalisation, as it contrasts with the traditional focus of local authorities and property developers on physical aspects and tenant profitability as measures of success. This leads on to an important conclusion from this research, which is that an almost completely inverted strategy from that applied to suburban mall development, may be most appropriate for successful inner city revitalisation. It also highlights a disconnection between the focus and processes of regulatory authorities and the outcomes and processes most acceptable to the people likely to frequent the central city. Developers are often caught in the middle of this conflicted situation. Another finding was early commitment by businesses to rebuild the case study area in the same style, but over time this waned as delay, demolition, insurance problems, political and planning uncertainty plus other issues made participation by the original owners and tenants impossible or uneconomic. In conclusion, the focus of inner city revitalisation is too often on buildings rather than the people that use them and what they now desire from the central city.
The Canterbury earthquake sequence (2010-2011) was the most devastating catastrophe in New Zealand‘s modern history. Fortunately, in 2011 New Zealand had a high insurance penetration ratio, with more than 95% of residences being insured for these earthquakes. This dissertation sheds light on the functions of disaster insurance schemes and their role in economic recovery post-earthquakes. The first chapter describes the demand and supply for earthquake insurance and provides insights about different public-private partnership earthquake insurance schemes around the world. In the second chapter, we concentrate on three public earthquake insurance schemes in California, Japan, and New Zealand. The chapter examines what would have been the outcome had the system of insurance in Christchurch been different in the aftermath of the Canterbury earthquake sequence (CES). We focus on the California Earthquake Authority insurance program, and the Japanese Earthquake Reinsurance scheme. Overall, the aggregate cost of the earthquake to the New Zealand public insurer (the Earthquake Commission) was USD 6.2 billion. If a similar-sized disaster event had occurred in Japan and California, homeowners would have received only around USD 1.6 billion and USD 0.7 billion from the Japanese and Californian schemes, respectively. We further describe the spatial and distributive aspects of these scenarios and discuss some of the policy questions that emerge from this comparison. The third chapter measures the longer-term effect of the CES on the local economy, using night-time light intensity measured from space, and focus on the role of insurance payments for damaged residential property during the local recovery process. Uniquely for this event, more than 95% of residential housing units were covered by insurance and almost all incurred some damage. However, insurance payments were staggered over 5 years, enabling us to identify their local impact. We find that night-time luminosity can capture the process of recovery; and that insurance payments contributed significantly to the process of local economic recovery after the earthquake. Yet, delayed payments were less affective in assisting recovery and cash settlement of claims were more effective than insurance-managed repairs. After the Christchurch earthquakes, the government declared about 8000 houses as Red Zoned, prohibiting further developments in these properties, and offering the owners to buy them out. The government provided two options for owners: the first was full payment for both land and dwelling at the 2007 property evaluation, the second was payment for land, and the rest to be paid by the owner‘s insurance. Most people chose the second option. Using data from LINZ combined with data from Stats NZ, the fourth chapter empirically investigates what led people to choose this second option, and how peer effect influenced the homeowners‘ choices. Due to climate change, public disclosure of coastal hazard information through maps and property reports have been used more frequently by local government. This is expected to raise awareness about disaster risks in local community and help potential property owners to make informed locational decision. However, media outlets and business sector argue that public hazard disclosure will cause a negative effect on property value. Despite this opposition, some district councils in New Zealand have attempted to implement improved disclosure. Kapiti Coast district in the Wellington region serves as a case study for this research. In the fifth chapter, we utilize the residential property sale data and coastal hazard maps from the local district council. This study employs a difference-in-difference hedonic property price approach to examine the effect of hazard disclosure on coastal property values. We also apply spatial hedonic regression methods, controlling for coastal amenities, as our robustness check. Our findings suggest that hazard designation has a statistically and economically insignificant impact on property values. Overall, the risk perception about coastal hazards should be more emphasized in communities.
This thesis describes the management process of innovation through construction infrastructure projects. This research focuses on the innovation management process at the project level from four views. These are categorised into the separate yet related areas of: “innovation definition”, “Project time”, “project team motivation” and “Project temporary organisation”. A practical knowledge is developed for each of these research areas that enables project practitioners to make the best decision for the right type of innovation at the right phase of projects, through a capable project organisation. The research developed a holistic view on both innovation and the construction infrastructure project as two complex phenomena. An infrastructure project is a long-term capital investment, highly risky and an uncertain. Infrastructure projects can play a key role in innovation and performance improvement throughout the construction industry. The delivery of an infrastructure project is affected in most cases by critical issues of budget constraint, programme delays and safety Where the business climate is characterized by uncertainty, risk and a high level of technological change, construction infrastructure projects are unable to cope with the requirement to develop innovation. Innovation in infrastructure projects, as one of the key performance indicators (KPI) has been identified as a critical capability for performance improvement through the industry. However, in spite of the importance of infrastructure projects in improving innovation, there are a few research efforts that have developed a comprehensive view on the project context and its drivers and inhibitors for innovation in the construction industry. Two main reasons are given as the inhibitors through the process of comprehensive research on innovation management in construction. The first reason is the absence of an understanding of innovation itself. The second is a bias towards research at a firm and individual level, so a comprehensive assessment of project-related factors and their effects on innovation in infrastructure projects has not been undertaken. This study overcomes these issues by adopting as a case study approach of a successful infrastructure project. This research examines more than 500 construction innovations generated by a unique infrastructure alliance. SCIRT (Stronger Christchurch Infrastructure Rebuild Team) is a temporary alliancing organisation that was created to rebuild and recover the damaged infrastructure after the Christchurch 2011 earthquake. Researchers were given full access to the innovation project information and innovation systems under a contract with SCIRT Learning Legacy, provided the research with material which is critical for understanding innovations in large, complex alliancing infrastructure organisation. In this research, an innovation classification model was first constructed. Clear definitions have been developed for six types of construction innovation with a variety of level of novelties and benefits. The innovation classification model was applied on the SCIRT innovation database and the resultant trends and behaviours of different types of innovation are presented. The trends and behaviours through different types of SCIRT innovations developed a unique opportunity to research the projectrelated factors and their effect on the behaviour of different classified types of innovation throughout the project’s lifecycle. The result was the identification of specific characteristics of an infrastructure project that affect the innovation management process at the project level. These were categorised in four separate chapters. The first study presents the relationship between six classified types of innovation, the level of novelty and the benefit they come up with, by applying the innovation classification model on SCIRT innovation database. The second study focused on the innovation potential and limitations in different project lifecycle phases by using a logic relationship between the six classified types of innovation and the three classified phases of the SCIRT project. The third study result develops a holistic view of different elements of the SCIRT motivation system and results in a relationship between the maturity level of definition developed for innovation as one of the KPIs and a desire though the SCIRT innovation incentive system to motivate more important innovations throughout the project. The fourth study is about the role of the project’s temporary organisation that finally results in a multiple-view innovation model being developed for project organisation capability assessment in the construction industry. The result of this thesis provides practical and instrumental knowledge to be used by a project practitioner. Benefits of the current thesis could be categorized in four groups. The first group is the innovation classification model that provides a clear definition for six classified types of innovation with four levels of novelty and specifically defined outcomes and the relationship between the innovation types, novelty and benefit. The second is the ability that is provided for the project practitioner to make the best decision for the right type of innovation at the right phases of a project’s lifecycle. The third is an optimisation that is applied on the SCIRT innovation motivation system that enables the project practitioner to incentivize the right type of innovation with the right level of financial gain. This drives the project teams to develop a more important innovation instead of a simple problemsolving one. Finally, the last and probably more important benefit is the recommended multiple-view innovation model. This is a tool that could be used by a project practitioner in order to empower the project team to support innovation throughout the project.
