<b>Abstract.</b> Social activities are responsible for a large proportion of travel demands of individuals. Modeling of the social network of a studied population offers a basis to predict social travel in a more comprehensive way than currently is possible. In this paper we develop a method to...

While many studies have been conducted about the allocation of household duties within households, little is known about the impact of land use and accessibility on the distribution of out-of-home household tasks between spouses and about men’s participation in such activities. This paper...

The question of whether characteristics of urban form influence travel behaviour has a long tradition in transportation and urban planning. Positive evidence has been found, however, that serious methodological objections can be raised against many of these studies. Often no explicit attempt was...

This paper suggests a new stated adaptation response format to measure bifurcation points in choice behavior. The method assumes that individuals attach bifurcation points to critical attributes beyond which they change their behavior. Fibonacci numbers are used to identify these bifurcation...

In this paper we report on the development of a microsimulation model of daily activity patterns in the context of a regional planning model. One of the aims of the simulation model is to predict traffic flows on a transportation network for various times of the day by using available...

Information overload is a well-known problem of conjoint choice models when respondents have to evaluate a large number of attributes and/or attribute levels. In this paper we develop an alternative conjoint modelling approach, called pairwise conjoint analysis. It differs from conventional...

Most of the existing literature on residential location choice is cross-sectional and assumes no history effect in people’s residential location preferences. However, human beings are constantly adjusting themselves to the local environment and thus it seems reasonable to assume that...

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