Towards a Better Understanding of Dynamics in Travel Behaviour: Results of the New Mobility Panel of the Netherlands
Marie-José Olde Kalter, Goudappel Coffeng, Sascha Hoogendoorn-Lanseer, The Netherlands Institute for Policy Analysis, Karst Geurs, University of Twente
The new and large Mobility Panel for the Netherlands (MPN) measures actual behaviour changes at individual level. With these data it is possible to understand dynamics in mobility. This paper describes the results of the first wave of the MPN.
Towards a Better Understanding of Dynamics in Travel Behaviour: Results of the New Mobility Panel Netherlands
Marie-José Olde Kalter, Goudappel Coffeng
Karst Geurs, University of Twente
Sascha Hoogendoorn-Lanser, The Netherlands Institute for Transport Policy Analysis
In most countries, including the Netherlands, the understanding of people’s travel behaviour is based on cross-sectional travel surveys where only one day is surveyed for each respondent. Data from cross-sectional travel surveys helps us to distinguish major trends in mobility patterns, for example changing trip rates of elderly or decreasing car use. For a better understanding of dynamics in mobility we need to measure actual behavioural changes at the individual level. This information can be obtained from longitudinal panel surveys.
In 1980s, The Netherlands was one of the first countries with a longitudinal mobility panel survey, the Dutch Longitudinal Travel Survey (LVO). However, it appeared to be a very expensive collection method and this was one of the main reasons to stop data-collection. The only national mobility panel existing to date is the German Mobility Panel (MOP). In fall 2013 the Netherlands Institute for Transport Policy Analysis, the University of Twente and Goudappel Coffeng started a new and large Mobility Panel for the Netherlands (MPN). Due to new data collection techniques costs for a panel survey decreased significantly. This panel will continue at least until 2016. The MPN comprises a yearly 3-day trip diary among 2,000 households. The first wave of data collection is finished: all members aged 12 and older completed the 3-day trip diary (about 4,100 persons). Cleaning the data will be finished in May 2014.
The main objective of the MPN is to determine dynamics in individual travel behaviour and households, and to show how changes in personal and household characteristics and other travel-related factors influence travel behaviour in time. This paper describes the results of the first wave of the MPN. Annual analysis includes the relationship between social economic variables (e.g. household type, income, car ownership, education level) and travel patterns. The latter are characterized by trip rates, lengths, mode choices and locations visited. The first year focus will rely on the relationship between social economic variables and travel behaviour; subsequent years will also focus on changes of these relationship in time.
Secondly we will examine factors influencing travel behaviour. Because all respondents answered some retrospective questions about life-events and the influence of these events on their travel behaviour in the previous two years, it is already possible to analyse factors influencing changes in travel behaviour. We examine to which extent changes in travel behaviour is related to changes in travel-related factors such as car ownership or personal characteristic such as employment status. For example, we expect that when within a household a second car is bought; household members will travel by car more often. We analyse trip rates and lengths, mode choices, travel motives and locations visited. The main objective of these analysis is to distinguish life-events with large effects on travel behaviour.
Association for European Transport