COMPREHENSIVE DISASTER MANAGEMENT AND DEVELOPMENT: THE ROLE OF GEOINFORMATICS AND GEO-COLLABORATION IN LINKING MITIGATION AND DISASTER RECOVERY IN THE EASTERN CARIBBEAN

The recurring failure of communities at risk to build mitigation into disaster recovery activities to reduce risks against future disaster events remains unresolved. In fact, some communities seem to learn so little from the disastrous experience of other communities; they either commit the same calamitous mistakes or do nothing to improve their circumstances before disaster actually strikes them. Policies exist, yet resilience building systems are lacking from the pragmatic stages of disaster recovery. Beyond sustained preparedness and relief operations, communities must also concentrate on effective rehabilitation and efficient disaster recovery if they are to become resilient against future hazards. The Eastern Caribbean islands, like many other developing countries, typify this failure of integrating mitigation into disaster recovery despite numerous incidents of hurricanes and tropical storms over the past decades. It is a socio-technical issue that needs to engage reliable information exchange mechanisms and efficient social networks to initiate and create solutions.The overall objective of this study is to explore how countries can improve mitigation through disaster recovery activities. It documents the results of an analysis of experiences in disaster recovery and mitigation in the Eastern Caribbean following Hurricane Lenny in November 1999 and Hurricane Ivan in September 2004. Through nested case design, the study constructs a framework for integrating mitigation into disaster recovery and comprehensive disaster management. It highlights relationships and interactions among households, builders, building designers, post-disaster rehabilitation agencies and disaster management organizations that can facilitate mitigation. It identifies factors that facilitate geospatial support in disaster management in the Eastern Caribbean and how geocollaboration enhances performance and effectiveness in comprehensive disaster management. Finally, the study modifies existing mechanisms for disaster mitigation and develops a scalable DHaRMS synchronization tool for mitigation implementation at multiple levels of society.This study is deemed important from an empirical perspective because it could yield valuable insights into the strengths and weaknesses of mitigation implementation as well as provide policy recommendations for improving the efficiency and effectiveness of mitigation and comprehensive disaster management. From a theoretical perspective, this research is oriented toward contributing to the theories of comprehensive disaster management and complexity

Optimising visual solutions for complex strategic scenarios : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Psychology at Massey University, Wellington, New Zealand

Attempts to pre-emptively improve post-disaster outcomes need to reflect an improved understanding of cognitive adaptations made by collaborating researchers and practitioners. This research explored the use of visual logic models to enhance the quality of decisions being made by these professionals. The research looked at the way visual representations serve to enhance these decisions, as part of cognitive adaptations to considering the complexity of relevant pre-disaster conditions constituting community resilience. It was proposed that a visual logic model display, using boxes and arrows to display linkages between activities and downstream objectives, could support effective, efficient and responsive approaches to relevant community resilience interventions being carried out in a pre-disaster context. The first of three phases comprising this thesis used Q-methodology to identify patterns of opinions concerning building a shared framework of pre-disaster, community resilience indicators for this purpose. Three patterns identified helped to assess the needs for applied research undertaken in phase two. The second phase of this thesis entailed building an action-focused logic model to enhance associated collaborations between emergency management practitioners and researchers. An analysis of participant interviews determined that the process used to build this logic model served as a catalyst for research which could help improve community resilience interventions. The third phase used an experimental approach to different display formats produced during phase two to test whether a visual logic model display stimulated a higher quality of decisions, compared with a more conventional, text-based chart of key performance indicators. Results supported the use of similar methods for much larger scale research to assess how information displays support emergency management decisions with wide-ranging, longer-term implications. Overall, results from these three phases indicate that certain logic model formats can help foster collaborative efforts to improve characteristics of community resilience against disasters. This appears to occur when a logic model forms an integrated component of efficient cognitive dynamics across a network of decision making agents. This understanding of logic model function highlights clear opportunities for further research. It also represents a novel contribution to knowledge about using logic models to support emergency management decisions with complex, long term implications

Selecting universities: personal preference and rankings

Polyhedral geometry can be used to quantitatively assess the dependence of rankings on personal preference, and provides a tool for both students and universities to assess US News and World Report rankings

Knowledge flow across inter-firm networks: the influence of network resources, spatial proximity, and firm size

The objective of this paper is to analyze the characteristics and nature of the networks firms utilize to access knowledge and facilitate innovation. The paper draws on the notion of network resources, distinguishing two types: social capital – consisting of the social relations and networks held by individuals; and network capital – consisting of the strategic and calculative relations and networks held by firms. The methodological approach consists of a quantitative analysis of data from a survey of firms operating in knowledge-intensive sectors of activity. The key findings include: social capital investment is more prevalent among firms frequently interacting with actors from within their own region; social capital investment is related to the size of firms; firm size plays a role in knowledge network patterns; and network dynamism is an important source of innovation. Overall, firms investing more in the development of their inter-firm and other external knowledge networks enjoy higher levels of innovation. It is suggested that an over-reliance on social capital forms of network resource investment may hinder the capability of firms to manage their knowledge networks. It is concluded that the link between a dynamic inter-firm network environment and innovation provides an alternative thesis to that advocating the advantage of network stability

The Future of Cohesion Policy in England : Local Government Responses to Brexit and the Future of Regional Funding

Peer reviewedPublisher PD

A network-based view of regional growth

The need to better understand the mechanisms underlying regional growth patterns is widely recognised. This paper argues that regional growth is partly a function of the value created through inter-organisational flows of knowledge within and across regions. It is proposed that investment in calculative networks by organisations to access knowledge is a form of capital, termed network capital, which should be incorporated into regional growth models. The paper seeks to develop a framework to capture the value of network capital within these models based on the spatial configuration and the nature of the knowledge flowing through networks