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:
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.
Technology is transforming the communities we live in. How can we harness technology to help build our resilience to natural hazards and disasters?
L.J. Vinnell 2024 Book review: ¡Alerta!: Engineering on Shaky Ground Earthquake Spectra, 40(2), 1604-1606 DOI: 10.1177/87552930241234296
Considerations for the development of Planning Emergency Levels of Service (PELOS) frameworks.
Low-cost ground motion sensors are becoming a promising solution for constructing an affordable yet reliable and robust earthquake early warning system.
Which algorithm is best for detecting P-waves generated by earthquakes and generating earthquake early warnings?
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…
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…
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…
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…
Huggins, T. J., Yang, L., Zhang, J., Tan, M. L., & Prasanna, R. (2021). Psychological Effects of Dominant Responses to Early Warning Alerts. International Journal…
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…
Huggins TJ, Prasanna R. 2020. Information technologies supporting emergency management controllers in New Zealand. Sustainability. 12(9):3716. doi:10.3390/su12093716.
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…
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…
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…
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…
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…
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.…
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…
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…
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…
Selecting an appropriate object detection model for identifying and counting vehicles from closed-circuit television (CCTV) images to estimate traffic flow.