The temporality of on-street parking – exploring the role of land-use mix and change on parking dynamics

Parking is often overlooked by urban researchers even though parking consumes large proportions of a city’s physical footprint and imposes significant impediment to more sustainable travel. Underpinning this lack attention suitable data methods capable capturing the complex dynamics parking. Here we redress gap drawing on an emergent source deploying empirical techniques unpack complexity. Data from 3542 on-street sensors observed over 9-year period are used delineate first typology routines before using fixed-effects logistic regression model explain how nearby land-use types mix shapes tempo timing utilisation. The benefit our approach lies in its capacity discriminate broad temporal rhythms associated with at particular places, these change time different mixes land use. This knowledge important inform policies seeking optimise use invoke patterns mobility.