Parking behaviour from GPS data

Data and variable description


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Date

2022-12

Publication Type

Other Research Data

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

This study analyzes parking search behaviour in Zurich, Switzerland using already segmented and labelled GPS data collected from a smartphone-based GPS tracking app. The data include both trip purpose, socio-demographic and mobility tool ownership information, allowing for the analysis of parking search as a function of both trip purpose and parking availability at the destination. The choice of whether to parking on-street or in a parking garage is also modelled.

Publication status

External links

Editor

Book title

Volume

85

Pages / Article No.

Publisher

IVT ETH Zurich

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Codebook; List of variables

Organisational unit

03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus) check_circle
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG

Notes

Funding

Related publications and datasets

Is supplement to:
Is supplemented by: 10.5905/ethz-1009-52