Wellington Traffic & Mobility Explorer

Insights

Data stories from Wellington's transport sensor network. Each insight is a self-contained analysis connecting WCC Vivacity counts to weather, fuel prices, and public transport data.

Traffic by day of week

Average sensor crossings by mode group · past 6 months · all sensors · avg per sensor

Mode share over time

Monthly sensor crossings by mode group · all 415 sensors · 2024–present · proportional

Peak hour profile

Average crossings per hour by mode · past 90 days · all sensors

Cycling trends

Karori Connections · city-wide sensor-normalised · Te Ara Tupua / Hutt Rd shared path · monthly crossings

Rain vs cycling

Monthly rainfall vs cyclist crossings · 2024–present · open-meteo.com

Monthly totals · teal bars = rainfall (left axis) · green = cyclists (right axis)

Wind vs cycling

Wellington wind direction frequency and avg cycling volumes · 2024–present · open-meteo.com

799 days · each dot = one day · 2024–present

Diesel price vs freight

Weekly diesel (NZD/L) vs OGV1+OGV2 crossings/sensor · 2024–present · MBIE weekly fuel monitor

Weekly · bars = Freight crossings/sensor (right) · line = Diesel NZD/L (left) · 123 weeks · normalised per sensor

Petrol price vs car traffic

Weekly 91 octane (NZD/L) vs Car + Motorbike crossings/sensor · 2024–present · MBIE weekly fuel monitor

Weekly · bars = Car + motorbike crossings/sensor (right) · line = 91 octane NZD/L (left) · 123 weeks · normalised per sensor

Events & holidays

% change in crossings vs a comparable non-event day · stacked by mode · yellow labels = special events · grey = public holidays

Active travelPrivate vehiclesFreightTransit (bus)

About this data

Sensor normalisation. Wellington's sensor network grew from ~113 to ~383 active sites between Jan 2024 and Apr 2026. All city-wide totals — cyclists, cars, and freight — are divided by the number of active sensors in each time period so that new sensors entering the network don't appear as real traffic growth.

Incomplete months. All monthly charts exclude the current calendar month. A part-month would appear as a steep drop at the right-hand edge, which looks like a trend but is just missing data.

Sensor overlap. Adjacent countlines may count the same vehicle more than once — this is inherent to how the sensor network is laid out, not a data error. Counts are best read as an index of relative change rather than absolute volumes. Infrastructure comparisons (before/after) are unaffected since the same sensors are used in both periods.