CHAIR – Thomas Barbera
Our built environment is changing. As our population continues to grow and cities becomes more and more urbanised, this increasing density comes with challenges on how to design spaces to deal with issues of people flow, and how to help people navigate the environments more effectively.
These challenges are particularly relevant in the domain of public transport, where new underground stations are being built now, with more to come in the future. In this presentation, we will share insights and recommendations from behavioural research we’ve conducted over the past year, that combines the power of Behavioural Science with eye tracking to uncover insights about how people navigate around stations. We’ll take you on a journey of how we’ve helped to design guidelines for future stations by understanding how people navigate and by identifying the challenges that exist with more confined and crowded spaces.
WEJUGO is a geospatial analytics company based in Sydney. We have 3 aspects to our business: analytics consulting to large enterprises to help them with digital transformation and data commercialisation; we have launched an out door programmatic billboard ‘audience evaluation’ solution for QMS – called Dynamiq – to help them determine the price of each 15 minute time increment based on telco data; and we have just launched a tourism and retail monitoring solution to track mobility and spend across Australia – called Hemisphere – based on a whole range of big data sets – including transactions, telco and sentiment.
Today I’d like to talk to you about the new data landscape – new compliance and ethics standards – and the need for open and transparent practices. I will talk to this via our new product launch Hemisphere. Hemisphere came into being via a government initiative to fill in the gaps in the data landscape to better understand tourism and retail trends in near real time.
The solution called for a novel way to combine and centralise disparate data sets – as well as deliver governance, security and ethics.
We gaze into our crystal ball to look at the future of high-quality general population surveys through to 2030 based on contemporary developments and long-term trends, talk about where they would be fit-for-purpose and what can be done to build a bridge to the future.
We look to the future regarding fitness-for-purpose with respect to survey error, cost of data collection, timeliness of reporting and response rates for:
- Nonprobability online panels
- Face-to-face interviewing
- Address-based sampling and push-to-web
- Probability-based online panels
- Data linkage
- Smartphone apps and other passive data collection
We also recommend steps to plan for the inevitable transitions that lie ahead:
- Steps while still using existing methods such as rotating response options
- Testing new methods to fill in key information ahead of possible transitions, including contact rates, costs and effects on estimates and to test alternatives, such as the content and look-and-feel of paper communications for push-to-web designs
- Fielding surveys in parallel across new and old methods to obtain true estimates of the effect of the break on the time-series and possible back-casting to estimate the existing time-series under the new design