Ab Anna Grigolon

Mixed multinomial logit model for out-of-home leisure activity choice.

The design and the results of a study of the factors that influence the choice of out-of-home leisure activities are presented. Influencing factors appear to be related to sociodemographic characteristics, personal preferences, characteristics of the built environment, and other aspects of the activities themselves, such as transport mode and day of the week. The Dutch continuous time–use research data on leisure activities for 2008 to 2009 were used for estimating a mixed multinomial logit model that accounts for heterogeneity in individuals’ preferences. The model formulation also allows analysis of substitution and complementarity between the types of activities. Results indicate differences in behavior between people with different sociodemographic characteristics, especially regarding the life-cycle stage, which is a variable composed by age and household composition. The built environment exerts a slight influence on the choice of leisure activity purpose, whereas travel party has a strong influence. For substitution and complementary relationships between activity purposes, although outdoor leisure decreases the propensity to perform sports or hobbies–courses activities, such leisure increases the propensity to perform fun shopping and going-out or cultural activities. Limitations of the study are discussed.

Facet-Based Analysis of Vacation Planning Processes: A Binary Mixed Logit Panel Model

This article documents the design and results of a study on vacation planning processes with a particular focus on aggregate relationships between the probability that a certain facet of the vacation decision has been decided at a particular point in time, as a function of lead time to the actual trip, life cycle characteristics, income, travel experience, and any other facet already being decided. A binary mixed logit panel model was formulated and estimated to examine the assumed relationships. The Dutch Continuous Vacation panel was used to collect the data. Results indicate that the closer to the actual date of the trip, the higher the probability of a facet being planned. Moreover, vacation facets are planned at different points in time. We also found differences in the level of planning for different life cycle groups, levels of income, and travel experience. A discussion of the limitations of the study and possible future research directions completes the article.

Determining the potential for Transit Oriented Development along the MRT Jakarta corridor

Abstract. Rapid population growth has increased the mobility of people, which leads to traffic congestion. Transit-oriented development (TOD) is a planning approach that is being adopted in many cities as it favours to reduce private vehicle usage by developing mass transit stations around high-density mixed land use and walkable (and cycle-able) environments. However, TOD development needs good strategies learned from historical and current conditions. In this research, we measured the current conditions of proposed TOD areas in thirteen MRT stations in Jakarta to determine the potential TOD development. These thirteen stations were divided into three types based on environmental characteristics of the station location such as CBD, urban, and neighbourhood characteristics. The 5D of built environment variables were used as indicators to examine the potential of TOD areas. Then, stakeholders were involved to fit and weigh the indicators. The weights of the indicators were applied to the Geographic Information System (GIS) platform for quantifying all spatial indicators. TOD indexes for each station were examined to identify potential improvement strategies. Each station is classified as having a high, medium or low TOD index. The results showed that three out of thirteen stations have high levels of TOD; six are classified as having a low TOD level. The low index proposed TOD stations should improve their built-up area, for example by intensifying the floor area ratio (FAR), adding green space, and enhancing the transit and pedestrian-oriented design. By understanding the specific strategies for different TOD indexes, this paper is intended to support those development areas to improve local urban development towards higher levels of TOD.

Ageing populations and travel

The effectiveness of sustainable transport policies ultimately depends on the response of different lifecycle groups to these policies. This chapter is concerned with one such lifecycle group: the elderly. They are also known in the literature as ‘solitary survivors’ or ‘mature’ groups (Wells and Gubar, 1966; Lawson, 1991; Fodness, 1992). It is an interesting group for a variety of reasons. First, the elderly need to adjust to changing needs and a shifting institutional context. After retirement they may have more discretionary time, they may be empty-nesters, although their household caring tasks may perhaps be substituted by grandparenting tasks. The new generation of elderly is said to have accumulated more wealth and resources (e.g., Spinney et al., 2009). Moreover, in general, their health is better than that of previous generations of elderly, giving them more opportunities to stay active and travel (Ziegler and Schwanen, 2011). On the other hand, they are less flexible in adjusting to changes, i.e., diminishing public urban facilities and transportation resources (e.g., Rosenbloom, 2001; Collia et al., 2003; Hildebrand, 2003). These considerations suggest they are more likely to continue travelling, with detrimental effects on sustainable transport policy ambitions. Little empirical evidence is, however, known about the travel behaviour of the elderly. This chapter summarises results of our previous analyses and activity-travel behaviour of this lifecycle group and adds the results of some new analyses that were specifically conducted for this chapter.