Joint Programming Initiative

More Years, Better Lives

The Potential and Challenges of Demographic Change

German Mobility Panel
Deutsche Mobilitätspanel (MOP)

Housing, Urban Development and Mobility
Relevance for this Topic
Country Germany
More Topics


Contact information

Dr.-Ing. Bastian Chlond, Dr.-Ing. Martin Kagerbauer, Dipl.-Ing. Matthias Wirtz
Institute for Transport Studies, Karlsruhe Institute of Technology (KIT)
Otto Ammann-Platz 9
76128 Karlsruhe
Phone: 49/721/608-42251
Fax: +49/721/608-46777
Email: panel(at)

Timeliness, transparency

The scientific use file is available about 1 year after data collection.

Type of data


Type of Study

Longitude survey: long-term study of the same sample

Cross-section, regular

Data gathering method

Self-administered questionnaire

Access to data

Available for scientific, non-profit use via Clearing House of Transport Data at the Institute of Transport Research (

Conditions of access

It is required to sign a data distribution contract prior to obtaining the data. The data costs 100 Euros.

2-3 weeks

anoymised microdata


The website with information is available in German and English, and a selection of reports and presentations are in English and French. The code plan of the data is available in English and a translation of the questionnaires to English is scheduled.


Data collection is ongoing since 1994. MOP94: Households n= 239, persons n = 517, trips = 12,380 MOP95: Households n= 385, persons n = 744, trips = 16,816 MOP96: Households n= 748, persons n = 1,487, trips = 37,233 MOP97: Households n= 764, persons n = 1,523, trips = 38,262 MOP98: Households n= 746, persons n = 1,500, trips = 36,770 MOP99: Households n= 1,013, persons n = 1,888, trips = 46,387 MOP00: Households n= 837, persons n = 1,618, trips = 38,273 MOP01: Households n= 1,122, persons n = 2,015, trips = 49,603 MOP02: Households n= 982, persons n = 1,774, trips = 43,219 MOP03: Households n= 1,103, persons n = 1,996, trips = 46,192 MOP04: Households n= 1,033, persons n = 1,838, trips = 44,384 MOP05: Households n= 967, persons n = 1,727, trips = 42,177 MOP06: Households n= 907, persons n = 1,555, trips = 38,246 MOP07: Households n= 904, persons n = 1,567, trips = 37,520 MOP08: Households n= 1,062, persons n = 1,783, trips = 43,029 MOP09: Households n= 982, persons n = 1,630, trips = 39,014 MOP10: Households n= 1,042, persons n = 1,768, trips = 42,131 MOP11: Households n= 1,074, persons n = 1,800, trips = 42,594


household size, regional type, car ownership


national, NUTS3

every household member independent of age, e.g. MOP11 age range: 0-92 years (children under the age of 10 do not fill out a person questionnaire and a trip diary)

Information is gathered via a household questionnaire, a personal questionnaire and a trip diary. The rotating panel survey provides information on household characteristics, socio-demographics, travel behaviour, trips and types of transportation, use of transportation, transportation available on site, reasons for trips, environmental characteristics on site. Additionally in the trip diary, every household member over the age of 10 records each trip with reason, mode of transportation, distance, duration of trip. The MOP data allows trend analysis over time in use of transportation, ownership of cars, etc. Individual mobility over a period of one week can also be analysed. Individual (changes in) mobility over a period of 3 years can be analysed for all panel participants.

• Chlond, B. Mobilitätsforschung am Institut für Verkehrswesen im Längsschnitt 1991 - 2009 – die Ära Zumkeller, in: Institut für Verkehrswesen (Hrsg.), Mobiles Leben - Festschrift für Prof. Dr.-Ing. Dirk Zumkeller, Universitätsverlag Karlsruhe 2009, ISBN 978-3-86644-354-9, S.11- 31 • Kuhnimhof, T., Chlond, B., & Huang, P. C. Multimodal Travel Choices of Bicyclists. Transportation Research Record: Journal of the Transportation Research Board, 2190(1) (2010): 19-27. • Vortisch, P., Chlond, B., Streit, T., Wirtz, M., Weiß, C., & Zumkeller, D. Deutsches Mobilitätspanel (MOP) - wissenschaftliche Begleitung und erste Auswertungen: Bericht 2011/2012: Erhebungswellen zur Alltagsmobilität (Herbst 2011) sowie zu Fahrleistungen und Treibstoffverbräuchen (Frühjahr 2012). Zwischenbericht zum Forschungsprojekt FE -Nr. 70.0864/ 2011, Institut für Verkehrswesen des Karlsruher Instituts für Technologie (KIT), Karlsruhe


Assessment of mobility profile is comparable to international research

Only regional linkage on district level via NUTS3-level (Kreise) is possible.

Data quality

Raw data is cleaned by project organisers and checked for inconsistencies.

The surveys aim at being comparable in regard to methodological issues and content. Questions have only been altered minimally since 1994.

Data set is still carried out in the way it was planned; the consistency of terminology and coding is very high as there were only minimal changes over time.


The MOP surveys multiday and multi-period travel data for the household population in Germany. A unique characteristic of the MOP is the trip diary over the course of a week. The MOP can be used as a basis for descriptive mobility statistics, such as the general development of travel demand over time. The data can also be used to estimate long-term changes in transport demand under changing general conditions. Analysing the individual daily trip data allows for a description of the mobility of socio-demographic sub- and age groups. Since the individual data can be linked to regional data on mobility, individual and objective data on mobility can be associated. But there are some weaknesses in the MOP. Older persons, small households and households without a car are underrepresented in the survey. Furthermore, very active (mobile) participants are less likely to participate in the panel due to the high survey burdens of the trip diary. The potential to analyse the specific behaviour, needs and expectations of the elderly for travelling and transportation is limited, as the survey focuses on mobility of persons before retirement age (questions asked for distance to work, school, kindergarten, etc.). Information on health and other life domains is very limited, thus the possibility for examining underlying mechanisms is limited as well.

  • The information about this dataset was compiled by the author:
  • Andreas Motel-Klingebiel
  • (see Partners)