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Greater Wellington Regional Council (GWRC) were preparing a Vehicle Kilometres Travelled (VKT), and emissions, reduction strategy for Wellington. Decision makers at the council needed a Wellington-specific evidence base to understand the complexities of the task, and to guide and inform the choices they make. I delivered these evidence based insights to inform Wellington’s VKT reduction strategy by investigating the travel behaviours of Wellingtonians, with a special focus on VKT. I used Python and Jupyter Notebooks - with libraries including pandas, geopandas, shapely, datetime, matplotlib, and seaborn - to clean, wrangle, combine, analyse, and visualise, the New Zealand (NZ) Ministry of Transport (MOT)’s complex Household Travel Survey (HTS) datasets.

Outcomes of this work included delivery of a reproducible method to wrangle and analyse HTS datasets, a technical report, and a presentation at the NZ Modelling User Gruop (NZMUGS) conference.

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