Technical Report
http://hdl.handle.net/10523/433
2024-03-28T15:43:22ZGeographic accessibility of physiotherapy in Aotearoa in relation to Māori and Pacific ethnicity, socioeconomic deprivation, and rurality – Short Report #2
http://hdl.handle.net/10523/16583
Geographic accessibility of physiotherapy in Aotearoa in relation to Māori and Pacific ethnicity, socioeconomic deprivation, and rurality – Short Report #2
2023-10-10
Buhler, Miranda; Shah, Tayyab; Perry, Meredith; Kruger, Estie; Tennant, Marc; Milosavljevic, Stephen
This short report outlines preliminary findings of a geospatial analysis of the distribution of the physiotherapy workforce in Aotearoa New Zealand in relation to the 2018 Census population, and to population demographic characteristics of Māori and Pacific ethnicity, socioeconomic deprivation, and rurality. It finds that although New Zealand has a slightly above-average clinician-to-population ratio for physiotherapy compared with other OECD countries, this workforce is not evenly distributed and inequities in geographic access exist. Locations were identified where variations in physiotherapy distribution and health care need (per proxy measures of ethnicity, socioeconomic status, and rurality) are not aligned. These resulting disparities in mismatch in supply and demand are targets for dedicated policy development and service planning to close the gaps between geographic location of population health need and physiotherapy provision.
2024-02-19T00:25:02ZA practical approach to recognising Lewisian common knowledge using theory-of-mind rules
http://hdl.handle.net/10523/16567
A practical approach to recognising Lewisian common knowledge using theory-of-mind rules
2024
Cranefield, Stephen; Srivathsan, Sriashalya; Pitt, Jeremy
Recognising common knowledge is a crucial component of practical reasoning to allow agents to coordinate efficiently with others. However, while common knowledge has been the focus of many logical theories, these focus on representing propositions that are known to be common knowledge rather than explaining how a proposition comes to be common knowledge. Consequently, there is an absence of both algorithms and software for practical reasoning with common knowledge.
In this paper, we extend and implement philosopher David Lewis's informal analysis of common knowledge based on a formalisation by Cubitt and Sugden. Unlike this prior work, we provide specific practical mechanisms for determining when a state of affairs $A$ indicates that a proposition $P$ holds, and how shared background knowledge and reasoning capabilities are represented: by using theory of mind (ToM) rules and a forward-chaining rule engine. We prove that only two levels of ToM modelling is required to recognise the existence of common knowledge. The approach is implemented using the Prolog Forward Chaining (Pfc) library and is demonstrated in a scenario from classical Athens of decision-making requiring common knowledge.
This is the full version of an extended abstract "Inferring Lewisian Common Knowledge Using Theory of Mind Reasoning in a Forward-Chaining Rule Engine" to be published in the proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024)
2024-02-11T19:59:46ZGetting around survey 2021: OCHT Brougham St
http://hdl.handle.net/10523/16498
Getting around survey 2021: OCHT Brougham St
2022
Fitt, H.; Kingham, S.; Curl, A.; el Orfi, Y.; Dares, C.; Russell, E.
Transport and housing are very closely linked. Where you live influences the things you can do and where you can go. This can affect your health and wellbeing. ŌCHT has put shared cars and e-bikes in your community. We’ll repeat our survey next year to see whether using the cars and bikes has led to any changes in your life. This year’s results are about how things were before most people had used the shared cars and bikes.
2024-01-09T04:00:31ZAuditing the urban environment for falls risk using Fall-SAFE – a virtual audit in Google Street View
http://hdl.handle.net/10523/16373
Auditing the urban environment for falls risk using Fall-SAFE – a virtual audit in Google Street View
2023-10
Watkins, Alison; Curl, Angela; Pocock, Tessa
The purpose of this manual is to outline procedures for evaluating pedestrian environments around locations where older adults have fallen using a virtual audit tool, Fall-SAFE. This data collection protocol and manual contains details on audit procedures, explanations for how to assess each environmental feature using Fall-SAFE, and auditor training.
Fall-SAFE was developed based on two literature searches conducted in April 2020: 1) to identify street environment features associated with falls among older adults (n=28 features), and 2) to identify existing audit tools and questions used to assess street environment features (n=19 audit tools).
Functionality and interrater reliability of the Fall-SAFE virtual audit tool were assessed using fall locations contained within a dataset from Hato Hone St John (the main ambulance service in New Zealand). The Fall-SAFE audit tool items largely showed “moderate” to “almost perfect” interrater reliability. Full details on Fall-SAFE tool development are available in Pocock et al. (2023).
2023-11-20T19:53:48ZGetting Around Survey 2022 - Summary Results
http://hdl.handle.net/10523/16242
Getting Around Survey 2022 - Summary Results
2023
Curl, Angela; Fitt, Helen; el Orfi, Yasmine; Dares, Cushla; Kingham, Simon; Coppens, Anna; Haselden, Rachel
Transport and housing are very closely linked. Where you live influences the things you can do and where you can go. This can affect your health and wellbeing.
Report 1: Getting around survey 2022: Ōtautahi Community Housing Trust
Report 2: Getting around survey 2022: Transport and ageing in Christchurch
2023-10-23T23:32:42ZAnnual Fiordland bottlenose dolphin monitoring report: 2020
http://hdl.handle.net/10523/16176
Annual Fiordland bottlenose dolphin monitoring report: 2020
2021-09
Bennington, S; Johnston, D; Crowe, L M
This item is a technical report by the Marine Megafauna Research Group, prepared for the New Zealand Department of Conservation, Fiordland District Office.
2023-10-02T23:50:28ZAnnual Fiordland bottlenose dolphin monitoring report: 2019
http://hdl.handle.net/10523/16175
Annual Fiordland bottlenose dolphin monitoring report: 2019
2020-09
Bennington, S; Johnston, D
This report was written by the Marine Megafauna Research Group and prepared for the New Zealand Department of Conservation, Fiordland District Office
2023-10-02T23:49:48ZDunedin Energy Study 2020/2021
http://hdl.handle.net/10523/15464
Dunedin Energy Study 2020/2021
2022-08-01
Dortans, Carsten; Jack, Michael W
Dunedin City Council has developed ambitious targets for reducing greenhouse gas emissions across the city. Achieving these targets will require significant changes in energy use. It is important to have an accurate assessment of current energy use in the city and associated greenhouse gas emissions. This is necessary to be able to benchmark progress, determine areas of focus and to evaluate the impact of decarbonization initiatives.
The Dunedin Energy Study is a joint research project between the Dunedin City Council (DCC) and the University of Otago aimed at assessing energy inputs into the city of Dunedin and associated greenhouse gas emissions.
In this study, “Dunedin” refers to the area under jurisdiction of the Dunedin City Council (DCC), which is surrounded by Waitaki District in the north, Central Otago District in the west, Clutha District in the south and the Pacific Ocean in the east.
This is the seventh consecutive year this study has been run and investigates energy consumption within Dunedin during the 2020 financial year (2020FY), referring to the financial year period 1 July 2020 – 30 June 2021. Approximately one month of the study period was impacted by Covid19 restrictions.
This study was conducted between January 2022 and August 2022, and provides an estimation of the total amount of each energy type used within the city, along with an indication of the end uses of energy, and energy-related greenhouse gas emissions.
2023-06-29T22:14:59Z