Parking events derived from trip data from mid2008

Abstract: The data set covers mobility diaries in 6.465 German car users for one week. This data set is based on the work of [1]. The car users noted their mobility behavior in for a whole week. The participants started logging their mobility patterns on different days. In the end, the data was aggregated starting on a Monday. The time of data collection was selected so that there were no holidays in the data. This data for different driver types are found in the CSV-files named "DrivingProfiles_*.CSV" During the week the participants noted where they went, \eg work, shopping, home, the mode of transportation and the distance traveled. This resulted in mobility diaries in 15 minutes resolution. Each column represents a 15-minute slot. One driver is resembled by to lines. First, her location, second, her distance traveled by car in the 15-minute slot. From this data, we derived parking events with different features found in ParkingEventsData.csv

[1] Zumkeller, D., Chlond, B., Ottmann, P., Kagerbauer, M., & Kuhnimhof, T. (2011). Deutsches Mobilitätspanel (MOP)–wissenschaftliche Begleitung und erste Auswertungen. Kurzbericht. Karlsruhe: Institut für Verkehrswesen, Universität Karlsruhe. The original data set can be acquired via https://daten.clearingstelle-verkehr.de/192/ TechnicalRemarks: Open CSV data with any editor.

Cite this as

Huber, Julian, Höffer, Jan, Thumm, Jakob, Weinhardt, Christof (2023). Dataset: Parking events derived from trip data from mid2008. https://doi.org/10.35097/1191

DOI retrieved: 2023

Additional Info

Field Value
Imported on August 4, 2023
Last update August 4, 2023
License CC BY 4.0 Attribution
Source https://doi.org/10.35097/1191
Author Huber, Julian
More Authors
Höffer, Jan
Thumm, Jakob
Weinhardt, Christof
Source Creation 2023
Publishers
Karlsruhe Institute of Technology
Production Year 2019
Publication Year 2023
Subject Areas
Name: Computer Science