Smart Resilient Cities

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Smart Resilient Cities

State Phase 2
Duration 2019 – 2024
Budget / Funding $800000
Project Leader(s)
Massey University

Vision

Aotearoa New Zealand has Smart Resilient Cities that are harnessing technology for resilience.

Project description

Emerging technology and data processing tools, such as sensor networks, Internet of Things technologies, next generation mobile and broadcasting platforms, machine learning, and artificial intelligence are transforming the cities that we live in, and the way we live in them.

Understanding these trends and the evolving relationship between people, sensors and data is key to designing for urban resilience in an equitable way.

This research project will explore how the Smart Cities model can be used in pre-event recovery planning and post-event response and recovery operations.

Specifically, Smart City technology can help:

  • Identify hazard impact and intensity across a region.
  • Identify the spatial location of buildings, lifelines and people as well as their characteristics, for example, geotechnical information, building types and people movement.
  • Predict, measure and observe the hazard response of buildings, lifelines and people through sensors and other instrumentation.
  • Rapidly estimate and predict scale and impact through an integrated and comprehensive Information & Communication Technology Architecture.

Working with partners and stakeholders in local and central government, we are developing a conceptual framework of a Smart City Information & Communication Technology Architecture for a selected urban area at risk of experiencing a large-scale hazardous event.

Our goal is to develop a deep understanding of how emerging technologies can be harnessed to reduce disaster risk in our cities.

Resource Outputs from this project

Webinar

SMART Resilient Communities

Technology is transforming the communities we live in. How can we harness technology to help build our resilience to natural hazards and disasters?

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Article

Book review: ¡Alerta!: Engineering on Shaky Ground

L.J. Vinnell 2024 Book review: ¡Alerta!: Engineering on Shaky Ground Earthquake Spectra, 40(2), 1604-1606 DOI: 10.1177/87552930241234296

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Article

Creating a ‘planning emergency levels of service’ framework – a silver bullet, or something useful for target practice?

Considerations for the development of Planning Emergency Levels of Service (PELOS) frameworks.

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Article

Earthquake early warning systems based on low-cost ground motion sensors: A systematic literature review

Low-cost ground motion sensors are becoming a promising solution for constructing an affordable yet reliable and robust earthquake early warning system.

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Article

Performance analysis of P-wave detection algorithms for a community-engaged earthquake early warning system – a case study of the 2022 M5.8 Cook Strait earthquake

Which algorithm is best for detecting P-waves generated by earthquakes and generating earthquake early warnings?

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Article

Exploring the potential role of citizen science in the warning value chain for high impact weather

Tan, M.L., Hoffman, D., Ebert, E., Cui, A. & Johnston, D. (2022). Exploring the potential role of citizen science in the warning value chain for…

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Article

Understanding the social aspects of earthquake early warning : A literature review

Tan, M.L., Becker, J.S., Stock, K., Prasanna, R., Brown, A., Kenney, C., Cui, A., & Lambie, E. (2002). The effects of earthquake experience on intentions…

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Article

Connecting Forecast and Warning: A Partnership Between Communicators and Scientists.

Anderson, C.L., Rovins, J., Johnston, D.M., Lang, W., Golding, B., Mills, B., Kaltenberger, R., Chasco, J., Pagano, T.P., Middleham, R. & Nairn, J. (2022) Connecting…

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Article

Evacuation behavior and information needs of Wellington, Aotearoa New Zealand residents following the 5 March 2021 mw 7.3 east cape earthquake.

Vinnell, L.J., Hudson-Doyle, E.E., Inch, P., Tan, M.L., Becker, J.S. & Johnston, D.M. (2022) Evacuation behavior and information needs of Wellington, Aotearoa New Zealand residents…

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Article

Psychological Effects of Dominant Responses to Early Warning Alerts

Huggins, T. J., Yang, L., Zhang, J., Tan, M. L., & Prasanna, R. (2021). Psychological Effects of Dominant Responses to Early Warning Alerts. International Journal…

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Article

Mobile applications in crisis informatics literature: A systematic review.

Tan ML, Prasanna R, Stock K, Hudson-Doyle E, Leonard G, Johnston D. 2017. Mobile applications in crisis informatics literature: a systematic review. International Journal of…

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Article

Information Technologies Supporting Emergency Management Controllers in New Zealand

Huggins TJ, Prasanna R. 2020. Information technologies supporting emergency management controllers in New Zealand. Sustainability. 12(9):3716. doi:10.3390/su12093716.

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Article

A Citizen Science Initiative to Understand Community Response to the Kaikōura Earthquake and Tsunami Warning in Petone and Eastbourne, Wellington, Aotearoa New Zealand.

Blake D, Johnston D, Leonard G, McLaren L, Becker J. 2018. A citizen science Initiative to understand community response to the Kaikōura earthquake and tsunami…

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Article

Scoping the potential for Earthquake Early Warning in Aotearoa New Zealand: A sectoral analysis of perceived benefits and challenges

Becker JS, Potter SH, Prasanna R, Tan ML, Payne BA, Holden C, Horspool N, Smith R, Johnston DM. 2020. Scoping the potential for earthquake early…

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Article

Research Themes on Warnings in Information Systems Crisis Management Literature

Tan ML, Harrison S, Becker JS, Doyle EEH, Prasanna R. 2020. Research themes on warnings in information systems crisis management literature. In: Hughes A, McNeill…

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Article

Modified Usability Framework for Disaster Apps: A Qualitative Thematic Analysis of User Reviews

Tan ML, Prasanna R, Stock K, Doyle EEH, Leonard G, Johnston D. 2020. Modified usability framework for disaster apps: a qualitative thematic analysis of user…

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Article

Understanding end-users’ perspectives: Towards developing usability guidelines for disaster apps.

Tan ML, Prasanna R, Stock K, Doyle EEH, Leonard G, Johnston D. 2020. Understanding end-users' perspectives: towards developing usability guidelines for disaster apps. Progress in…

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Article

Traffic Flow Estimation based on DeepLearning for Emergency TrafficManagement using CCTV Images

Algiriyage N, Prasanna R, Doyle EEH, Stock K, Johnston D. 2020. Traffic flow estimation based on deep learning for emergency traffic management using CCTV images.…

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Article

A research update on the demography and injury burden of victims of New Zealand earthquakes between 2010 and 2014

Basharati S, Ardagh M, Deely J, Horspool N, Johnston D, Feldmann-Jensen S, Dierckx A, Than M. 2020. A research update on the demography and injury…

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Article

Engaging stakeholders in pre-event recovery planning: using a recovery capitals framework

Ripley S, Kaiser LH, Campbell E, Shadwell J, Johnson D, Neely D. 2020. Engaging stakeholders in pre-event recovery planning: using a recovery capitals framework. The…

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Article

Earthquake early warning in Aotearoa New Zealand: a survey of public perspectives to guide warning system development

Becker JS, Potter SH, Vinnell LJ, Nakayachi K, McBride SK, Johnston DM. 2020. Earthquake early warning in Aotearoa New Zealand: a survey of public perspectives…

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Article

Traffic Flow Estimation based on Deep Learning for Emergency Traffic Management using CCTV Images

Selecting an appropriate object detection model for identifying and counting vehicles from closed-circuit television (CCTV) images to estimate traffic flow.

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