Publicaties

Transport has both positive and negative effects on health. On the one hand, transport connections help people to reach services, maintain contacts and interactions. On the other hand, transport causes annually hundreds of thousands of premature deaths in Europe, not only due to traffic accidents, but also due to air pollution problems. Transport related gaseous and particulate emissions are one of the main sources of air pollution and air ...

Owing to the richer set of concepts which are involved in activity-based transportation models, the potential advantages of an activity-based approach for air quality purposes have been recognized for a long time. However, models that have been developed along these lines are still scarce. In this research the activity-based model ALBATROSS was used in combination with the emission model MIMOSA to assess the travelled distances and the mobile ...

This paper describes the development and application of an activity-based data collection tool for the assessment of gender-linked vehicle exhaust emissions. The developed methodology implies the collection of activity and travel data on a PDA (personal digital assistant) with built-in GPS receiver. By converting the GPS-based travel data into emissions, good estimates can be made of the exhausts produced by every vehicle trip in the travel ...

In this paper, an integrated modelling methodology for the assessment of population exposure to air pollution, involving all compartments of the DPSIR-concept, is illustrated by an application in The Netherlands. The application demonstrates the advantages of an activity-based approach by presenting three kinds of applications: the calculation of vehicle emissions, the simulation of pollutant concentration patterns and the assessment of the ...

The potential advantages of using activity-based transport models for air quality purposes have been recognized for a long time but models that have been developed along these lines are still scarce. In this paper we demonstrate that an activity-based model provides useful information for predicting hourly ambient pollutant concentrations. For this purpose, the traffic emissions obtained in a previous application of the activity-based model ...

Traditional exposure studies that link concentrations with population data do not always take into account the temporal and spatial variations in both concentrations and population density. In this paper we present an integrated model chain for the determination of nation-wide exposure estimates that incorporates temporally and spatially resolved information about people's location and activities (obtained from an activity-based transport model) ...

Background and objective: Most exposure studies take into account the variation in air quality which is provided by models or by kriging of measurements. The spatial and temporal variation in population density is often ignored and exposure is usually based on adress data only. We present an integrated chain of models that enables us to estimate exposure taking into account temporally and spatially resolved information about people's location ...

Background and objective: Many studies on air pollution ignore the spatial and temporal variation in population density. Newly developed activity-based transport models have the ability to retain demographic and socio-economic data about the people making trips and performing activities in different locations throughout the day. In this way exposure analysis can be disaggregated by subgroups in the population. Methods: The activity-based model ...

In this paper the long-term impact of an eco-driving training course is evaluated by monitoring driving behavior and fuel consumption for several months before and after the course. Cars were equipped with an on-board logging device that records the position and speed of the vehicle using GPS tracking as well as real time as electronic engine data extracted from the controller area network. The data includes mileage, number of revolutions per ...