Replacement of residential streetlights with lower maintenance, more efficient 'warm white' LED bulbs which have not only saved over $800,000 in the first two years but are also less harsh on the eyes, reduce spill over glare into houses, and are better for sleep quality, our astrologers and nocturnal animals such as our special bat populations.
Development of an open data portal where datasets can be made available to the public. This includes development of an open data policy and identification of possible datasets for release. This project aligns with the Waikato Data Portal - a collaborative project sharing data openly from 12 Councils in the Waikato region in a cohesive system. The portal is now live and looking for your feedback to understand the datasets and features users are most interested in seeing as it develops:
Check it out here.
Asking service users about their experience of our services when, or just after, they have used them, gives us greater insight to improve our service or understand what we need to change to make doing business with us easier.
A place to engage on innovation with the community and work together to make ideas and solutions a reality.
An internal programme focused on building a culture of innovation at Hamilton City Council - encouraging staff to think differently about how we work, and act to put ideas which benefit the community into practice.
Mobile apps are being considered across a range of council areas in order to share the information we have in ways that is more accessible and user friendly for the community, and that can add value to the lives of people in our city. Coordinating these efforts across Council will result in better user experience and more streamlined development.
Moving our services and the way we work online where this is more effective, efficient and improves services. This might mean improved convenience for customers wanting to carry out transactions online (like our new online applications process for building consents) or more accurate and time saving recording of information in the field by using mobile devices.
Developing intelligent transport systems, in collaboration with regional partners, to improve the travel experience of the community. Machine learning is helping to reduce travel times, congestion and improve responsiveness to faults or incidents in the road network.
Hamilton and regional community leaders coming together to identify opportunities for collaboration, leveraging resource and knowledge and skill sharing. Groups involved include public sector, business, industry and tech providers, not-for-profits, Councils, iwi partners, academic institutes, social enterprises and interest groups.
Looking at a range of alternative modes of travel and systems that complement existing transport options and improve the choice people have in getting around our city in a more environmentally friendly and sustainable way. Lime electric scooters and Loop car share are two initiatives currently being trialled in Hamilton.
This project is looking at ways we can use our CCTV network and other sources of data collection to generate better data, analysis and insight (and therefore decision-making and outcomes) for different areas in Council. The project is assessing where the greatest gains may be made and will result in trials being run to test any new technologies or systems.
A review is underway and programme being developed to upgrade Council’s Internet Of Things / telemetry system. This will enable better data collection and management of remote field services such as water meters, street lights and air quality sensors.
With assistance from the Akina Foundation, we are planning a review of our existing procurement policies and processes to make sure they support our innovative local social enterprises better – who through their work, support community wellbeing. We continue to look for opportunities to be more socially responsible in our procurement and partnerships practices.
We are considering a project to develop a digital twin – a digital replica of the city. This type of model has many potential uses. It could be used to visualise data we collect, share infrastructure or building plans or information, support asset management, model scenarios to predict possible outcomes from different decisions.