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Publications (33)
This study addresses the need for more knowledge in long-distance travel behaviour by developing a method to identify non-routine travel behaviour in multi-day travel surveys. Following the definition of tourism, this study uses trip diary data to approximate an individual’s usual environment and identify travel events leaving this usual environmen...
After 30 years, the German Mobility Panel ceased data collection in the summer of 2023, despite being considered a successful and benchmark-worthy survey about everyday travel. This article gives an overview of the survey’s central ideas, purpose, and design, thoughts about the usefulness and applicability of the data, and explains why the survey h...
Ensuring data quality of household travel survey data is often tedious and, thus, time-consuming. To speed up the process of data-checking and to gain an in-depth understanding of the data, data visualization is a practical, fundamental tool. Since 1994, data visualization has been used in the German Mobility Panel (MOP) data-checking process. This...
The COVID-19 pandemic has had a major impact on everyday travel and, by extension, everyday commuting. During the pandemic, some people were able to work from home while others continued commuting. This study examines how commuting behavior changed between 2019 and 2020. In this study, we analyze panel data of the German Mobility Panel, a national...
Machine learning techniques have mainly been applied to physical measurement data in the past. In this paper, machine learning is applied to survey data of everyday travel behavior provided by the German Mobility Panel (MOP). The presented model framework supports trained staff in checking trips collected in a trip diary. To this aim, four algorith...
The COVID-19 pandemic has forced employers and employees to re-evaluate their attitudes toward telecommuting. This induced a change in the sheer number of people who have started to work from home (WFH). While previous studies highlight differences between telecommuters based on their level of telecommuting experience, these effects have not been s...
For understanding long-distance travel and its impact on the environment, the travel behaviour of people living in urban areas is of particular interest. Although urbanites tend to travel short distances in their everyday lives using environmentally friendly means of transport, studies indicate a different picture for their long-distance travel. Ur...
In diesem Paper wird eine Analyse der Auswirkungen von Home Office und der Einflüsse auf die Entscheidung, von zu Hause aus zu arbeiten vorgestellt. Dank des Paneldesigns liefert das Deutsche Mobilitätspanel einzigartige Daten von Personen, die vor und während der COVID-19-Pandemie teilgenommen haben. Unsere Ergebnisse zeigen, dass die die Pandemie...
Being a vast external influence, the COVID-19 pandemic causes major changes in travel behavior on the individual level. This exceptional situation and the political measures such as the lockdown lead to decreased overall travel demand and shifts in mode choice. To understand these effects, the analysis of car usage in private households offers expl...
Decision-makers in cities worldwide have the responsibility to contribute to the reduction of greenhouse gas emissions in urban transport. Therefore, effective measures and policies that allow for a change in people’s mobility towards sustainable mobility must be derived. To understand how different people respond to measures and policies, and to i...
Das Vorhaben beschreibt auf Basis einer umfangreichen Literatur- und Datenanalyse sowie gestützt auf einen Modellansatz und eine ergänzende Befragung die Langstreckenmobilität von Personen in Deutschland. Aufbauend auf den Ergebnissen wird ein weites Spektrum möglicher Handlungsoptionen für die zukünftige ökologische Gestaltung der Langstreckenmobi...
With the growing relevance of long-distance travel and the resulting climate impacts, the understanding of long-distance travel next to everyday travel becomes relevant. In particular in urban areas, people often compensate short distances and the use of environmentally friendly means of transport in everyday life with a higher amount of long-dista...
The understanding of car usage patterns and the reason for a trip is important for policymakers to derive measures to influence car usage as well as for manufacturers and service providers to create target-oriented products and offers. There are different types of data to describe car usage. Survey data provide various information that explain beha...
The inclusion of attitudinal questions in surveys to determine the effects of the psychological dimension is becoming increasingly important in travel behavior research. However, the occurrence of response bias must be taken into account when determining the psychological characteristics. Especially unmotivated participants have the option to run d...
Das Vorhaben hat ein konsistentes und grundsätzlich fortschreibbares Gesamtbild der Reiseverkehrsnachfrage und der klimawirksamen Emissionen des Reiseverkehrs in Deutschland geschaffen. Dabei stellen die Ergebnisse der jüngsten deutschlandweiten Befragung zur Alltagsmobilität „Mobilität in Deutschland 2017“ den Kern des Mengengerüstes dar, ergänzt...
Although for most travel segments data are available, there is no up-to-date and consistent overall picture of long-distance travel demand, neither in terms of total transport volumes, nor in terms of socio-demographic characteristics of the corresponding population and the driving forces. Analyses in this respect, however, require a meaningful dat...
In China, the bicycle had a high relevance in the past. Some decades ago, it was the major mode for most Chinese people. This situation changed with growing wealth and increasing car ownership. Today, as cities are traffic-crowded, the bicycle seems to be an alternative again. At the same time, the government as well as private equity, invest in pu...
This paper deals with the distinction between everyday and tourism related travel. As no objective definition exists to differentiate between these two, surveys usually focus only on one aspect. In particular, this does not provide an overall picture of tourism related travel as some tourism activities are also embedded in everyday life, such as da...
In contrast to everyday travel, long-distance passenger travel continues to increase for the German population. Although data are available for some travel segments, there is no up-to-date and consistent overall picture of this specific demand, neither in terms of total transport volumes, nor in terms of socio-demographic characteristics of the cor...
The German Mobility Panel is a longitudinal survey that continuously collects data about the mobility behaviour in Germany since 1994. The survey focuses on people’s everyday mobility as well as on car mileage and fuel consumption in private households.
Information on why and how people travel in their daily lives is essential for transport planni...
A detailed knowledge of potential travelers’ behavior and underlying psychological factors is essential to estimate the potential of mobility-related services and improve transportation systems. The definition of mobility types allows the assignment of individuals to the respective groups of people with similar mobility needs. Previous research has...
Implementing measures to improve transportation systems requires detailed knowledge of potential travelers’ behavior and underlying psychological factors. Traditional travel surveys often provide information about travel behavior only. Crucial aspects such as information about attitudes and norms are usually not conducted. However, this information...
