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New Analytics Tools for Workload Planning for the 2018 New Zealand Census

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New Analytics Tools for Workload Planning for the 2018 New Zealand Census Centre for eResearch New analytics tools for workload planning for the 2018 New Zealand Census Assoc Professor Andrew Mason, Engineering Science, the University of Auckland. Geoff Leyland, Incremental Ltd. Chris Hodgins, John Crequer Craig Lange, Hayley Gargiulo, Philippa Sowman and Chris Deake, Statistics New Zealand Background New Zealand’s next census will take place in March 2018. The census is an official count of all the people and dwellings in New Zealand, and will involve around two-and-a- half-thousand field officers and cover almost two million households. This is a large field operation with officers observing or visiting every dwelling in the country at least once. The operation confirms the locations of known dwellings and identifies new ones to ensure that Statistics New Zealand’s address list is Meshblocks in the Auckland Region up-to-date. New Zealand is divided into around 53,000 areas called “meshblocks”. Each meshblock contains roughly the same number of dwellings. The census involves a field officer visiting every dwelling in each meshblock. Additional work may include following up with non-respondents after the census day. For the first time in New Zealand, the census will use the internet as the primary mode of response. The operation will cover the same geographical area as in previous censuses, but with fewer field officers working across the country. Fieldwork has already begun for the 2018 Census. Over 80% of dwellings were visited between June and August 2017 by a team of over two hundred field officers as part of an operation called “Address Canvassing”. By the time the census gets underway in March 2018, every dwelling in the country will have been observed or visited by one of the teams of field officers, building the BUILDING 302,LEVEL 5, ROOM 585 23 SYMONDS STREET AUCKLAND, NEW ZEALAND 1 WWW.ERESEARCH.AUCKLAND.AC.NZ Centre for eResearch most up-to-date record of where people in New Zealand live. In the weeks following the census, households that have not responded will be visited by another team to encourage response in order to ensure the quality of the census findings. The workload planning tools Proper planning is critical for efficient census fieldwork. A team consisting of specialists from Statistics New Zealand, Incremental Ltd., and the University of Auckland is building fieldwork planning tools that enable the right officers to go to the right places at the right time. These planning tools form part of a case management system at Statistics NZ which is integrated with mobile devices being used by field officers. The planning tools communicate with these devices to receive information on work that has been completed each day, and to deliver the next day’s plans to field officers. These plans are built using new optimization algorithms developed for this project. The algorithms are dynamic in that new plans are developed each night that respond to the actual work completion rates across field officers. Planning largely relies on geographical information: the boundaries of the meshblocks; the underlying road network and how it interacts with the meshblocks; the locations of dwellings within the meshblocks; boundaries of area units, and population centres. These are all used to define what needs to happen as part of the census. Meshblock-based work in Wellington BUILDING 302,LEVEL 5, ROOM 585 23 SYMONDS STREET AUCKLAND, NEW ZEALAND 2 WWW.ERESEARCH.AUCKLAND.AC.NZ Centre for eResearch Application and methodology Our tools introduce a range of improvements over previous census operations. One of the key innovations in our census tools is the use of a road-network model, and its integration with the meshblock and dwelling models, in order to take actual road distances into account when planning the work. The need to explicitly visit every road in NZ means that the OpenStreetMap data we are using is being tested in ways that are almost certainly new. We have made multiple improvements to the OpenStreetMap maps to fix data errors we have found. Dwelling-based work in Christchurch Previous censuses relied on complex GIS processing to determine pairs of meshblocks that share a common boundary, but should not be grouped together because they were separated by geographic features such as rivers and mountain ranges. This processing has been improved and simplified by using new algorithms based on our road network. If a river or mountain range is impassable, there will be no road joining a meshblock pair. If there is a road, then the river or range is passable, and so the meshblocks should be the candidates for grouping together. New tools require careful testing. All our algorithms have been embedded in detailed simulations, which are tightly coupled with a suite of new visualisation tools. These visualisations have proven invaluable in evaluating and improving the approaches we have developed, and in giving the team confidence that our new algorithms and tools will help lead to a successful 2018 Census Operation. BUILDING 302,LEVEL 5, ROOM 585 23 SYMONDS STREET AUCKLAND, NEW ZEALAND 3 WWW.ERESEARCH.AUCKLAND.AC.NZ .
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