Implementing a behavioural pilot survey for the stage - based study of the whole journey traveller experience

AbstractThe European project METPEX aims to develop an evaluation tool for the whole journey experience from the passenger viewpoint. A pilot survey has been implemented to help identify what kind of information should be collected to this effect. Five categories of variables were identified and tested: individual attributes, contextual variables, attitudes, travel experience and satisfaction aspects. Administering the pilot survey resulted in a total of 554 interviews in eight different European cities. The gained experience was supplemented by consultation with 45 different stakeholders that reviewed the tool. Potentialities and shortcomings that emerged from these assessment activities are discussed

Deploying traditional and smartphone app survey methods in measuring door-to-door travel satisfaction in eight European cities

This study describes the lessons learned from designing, deploying and analysing the results from different travel satisfaction survey tools which measures the travellers' door-to-door travel satisfaction. The travel satisfaction measurement survey tools tested consisted of two types of smartphone applications (a satellite navigation app and a game app), an on-line survey, a paper-based semi-structured questionnaire and a focus group questionnaire. Each of the measurement tools comprised the same set of basic questions, but in different formats, aimed at exploring the pros and cons of each tool among different groups of travellers. The data collection was carried out at eight different European cities and five FIA motorist networks. 5,275 valid responses were gathered from the survey. Further analysis results show that different survey methods performed better in different sites. The satisfaction that was gathered via main trip leg does not necessarily correspond with overall satisfaction of the door-to-door journey. The results of this study highlight the need for more inclusive, complete, door-to-door, travel survey measurements

Individual CO2 emissions and the potential for reduction in the Netherlands and the United Kingdom

Using National Travel survey data from the Netherlands and the United Kingdom (UK), this paper examines how passenger transport emissions are divided across society and how similar this distribution is across these two countries. By looking across a series of data over time, the paper examines the extent to which the socio-economic characteristics of the main contributors of greenhouse gas (GHG) emissions are similar in these two countries. Based on the profiles of the main CO2 contributor, relevant policy measures are examined. The general effectiveness and acceptability of these measures are then discussed by drawing on pan-European (Eurobarometer) survey results. Analyses reveal that around 10% of the Dutch population is responsible for almost half of all travelrelated CO2 emissions in the Netherlands. Similarly, in the UK, around 20% of the population is responsible of the 60% of passenger transport-related CO2 emissions. Analysis of pan-European opinion surveys shows that there is a clear awareness among majority of the population that the type of car and the way it is used has an important impact on the environment. Despite this awareness, only a minority seem prepared to take action to reduce the environmnental consequences of their travel behaviour. The study supports the argument that the willingness to change behaviour is a complex mixture of individual and social interests. A major challenge is how to encourage changes in behaviour to reduce transport emissions with the right policies at the right time in the right place.Urban and Regional DevelopmentOTB Research Institut

Recent trends in travel behaviour and passenger transport fuel use: A comparison of the Netherlands and the United Kingdom

The transport sector is the largest and fastest growing consumer of energy in Europe, which poses a serious threat to Europe’s climate and environment. Over recent decades, increases in passenger and freight transport movements have both been responsible for this growth. These trends can be observed in most European countries including the Netherlands and the United Kingdom (UK), where per capita transport fuel consumption increased by 9% and 4% respectively in the relatively short period between 2000 and 2006 (and by 37% and 16% respectively between 1990 and 2006). In many ways, general travel patterns in these two countries have not changed substantially during this period: total travel distance, average travel speed and travel time have all remained fairly constant. What has changed, however, is car occupancy, the type and age of vehicles on the road and the average number of trips, all of which have contributed to changes in energy consumption in the passenger transport sector. In this paper we focus on trends in individual mobility and related carbon dioxide (CO2) emissions, which are a close proxy for fuel consumption and total greenhouse gas (GHG) emissions from transport. National travel data for the Netherlands and the UK from 2000 onwards are used to examine these trends. We construct a classification of individuals based on their travel patterns and related CO2 emissions with the aim of identifying the key socio-economic characteristics of individuals with high and low CO2 emissions. We then examine the extent to which these socio-economic characteristics are similar in both countries. Preliminary analyses reveal that in both countries around 10% of the population is responsible for almost half of all CO2 emissions in the passenger transport sector. At the other end of the spectrum, half the population is responsible for only 10-20% of passenger transportrelated CO2 emissions. Substantial differences in individual transport CO2 emissions are apparent according to socio-economic characteristics such as age, gender, income and employment status.Urban and Regional DevelopmentOTB Research Institut

Behavioural decisions of travel-time ratios for work, maintenance and leisure activities in the Netherlands

Using the 2005 Dutch National Travel Survey data-set this paper investigates the influences of socio-demographics, journey patterns and built environment factors on the ratio of travel time and activity duration that an individual spends when engaging in work, daily shopping, non-daily shopping and sport/recreation activities. The results show that socio-demographics and other variables have unique influence on each type of activity. The travel-time ratios (TTRs) of some activities are more varied across the population whilst some have more 'acceptable' ratios. The interaction between activity duration and travel time is also unique for each socio-demographic group. For example, given the same amount of travel time, males will spend significantly less time on shopping than females; whilst for sports and recreational activities males will spend more time on than their female counterpart. By understanding individuals' different TTR values for different activities, the TTR can be an important guide when providing activity locations which in turn can help in creating sustainable urban transport conditions. © 2010 Taylor & Francis

Identifying priority areas based on a thirteen years evolution of satisfaction with public transport and its determinants

Transport & PlanningCivil Engineering and Geoscience

Analyzing Commuters’ Behavior on Egress Trip from Railway Stations in Yogyakarta, Indonesia

Background: Prambanan Ekspres Railway is known as one of the commuting modes in Yogyakarta, Indonesia. Sufficient egress modes do not support this railway. Due to lack of urban mass transit facilities, the commuters independently utilize a reliable mode for their mobility, for instance by owning a motorcycle and using overnight parking service facility in their non-home-station. Objective: This paper aims to understand the commuters’ behavior on their egress trip when they decide to use the train as their main mode. Methods: A direct interview survey on the train was conducted during peak hours from Monday to Friday. By implementing stated preference survey, a logit model was used to analyze mode choice decision from the railway station to activity end destination. Results: The results indicate that walking distance to the parking area and bus-waiting time have a more significant impact compared to the walking distance to bus stop and in-bus travel time. Furthermore, the high cost of overnight parking also significantly influences the decision of choosing an egress mode. Otherwise, egress trip cost has less significance to encourage commuters’ to shift to bus mode