Parking is often overlooked by urban researchers even though parking consumes large proportions of a city’s physical footprint and imposes a significant impediment to more sustainable travel. Underpinning this lack of attention is suitable data and methods capable of capturing the complex dynamics of parking. Here we redress this gap by drawing on an emergent source of parking data and deploying empirical techniques to unpack this complexity. Data from 3542 on-street parking sensors observed over a 9-year period are used to delineate the first typology of parking routines before using a fixed-effects logistic regression model to explain how nearby land-use types and land-use mix shapes tempo and timing of parking utilisation. The benefit of our approach lies in its capacity to discriminate broad types of temporal rhythms associated with parking dynamics at particular places, how these change over time and how these rhythms are associated with different types and mixes of nearby land use. This knowledge is important to inform policies seeking to optimise the use of on-street parking and invoke more sustainable patterns of mobility.
|Julkaisu||Environment and Planning B: Urban Analytics and City Science|
|Varhainen verkossa julkaisun päivämäärä||6 heinäk. 2022|
|DOI - pysyväislinkit|
|Tila||Julkaistu - helmik. 2023|
|OKM-julkaisutyyppi||A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|