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Day-to-day Variability, Uncertainty and Learning Processes

Day-to-day variability of individual's activity-travel patterns: (with Dimas Dharmowijoyo, Chengxi Liu, a.o.)

Whilst individual’s activities and travel patterns are rooted at their obligation locations and engagement time tend to be fixed (Golledge and Simpson, 1997), there is still variability of travel pattern inter-individual and intra-individual that tends to be neglected in our transport policy design and travel behaviour analyses. Yamamoto and Kitamura (1999) said that the effectiveness of transportation policies on weekdays and weekend days interact and influence each other. The time use changes of travellers on weekdays as responds to implemented transport policies will also influence the way travellers arrange and travel during weekend-days. Understanding how the sequence of activity engagements influences the variability of individual activity space is very important to understand the interactions between the sequences of travellers’ decision with their spatial movements over time. This understanding will give insights to the transport analyst on the roles of individual time-space prisms in shaping individuals’ daily movements over urban space.

Repetitions in individual daily activity–travel–location patterns: a study using the Herfindahl–Hirschman Index

The Day-to-day Variability in Travelers’ Activity-Travel Patterns in Jakarta Metropolitan Area

Day-to-day interpersonal and intrapersonal variability of individuals’ activity spaces in a developing country

The complexity and variability of individuals' activity-travel patterns in Indonesia

Jointly modelling individual's daily activity-travel time use and mode share by a nested multivariate tobit model system

On complexity and variability of individuals’ day-to-day discretionary activities

Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia

Analysing the complexity of day-to-day individual activity-travel patterns using a multidimensional sequence alignment model: A case study in the Bandung Metropolitan Area, Indonesia

Longest common subsequences: Identifying the stability of individuals' travel patterns

 

Impacts of weather variability to individual and households activity-travel patterns: (with Chengxi Liu)

Understanding the impact of temperature and weather changes and the weather forecast information to the individual travel pattern is very crucial to produce a better prediction of aggregate flows as well as the disaggregation of travel behaviour of individuals. Whilst it is very crucial to study the weather to the travel decision making processes, to our knowledge, most of previous studies ignored the systematic relationships between the individual participation decisions with the activity duration and travel time spent in their model and behaviour analyses. Given that an individual’s ability to travel and engage in the activity is highly influenced by the amount of the activity duration available and that, in many circumstances, an individual have to trade-off between their travel distance and activity duration in selecting their activity locations (Susilo and Dijst, 2010), it is important to analyze this decision making processes in one integrated model structure.

The influence of weather characteristics variability on individual’s travel mode choice in different seasons and regions in Sweden

Investigating the impacts of weather variability on individual’s daily activity-travel patterns: commuters vs non-commuters

Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden

Measuring the Impacts of Weather Variability on Individuals’ Trip Chain Complexity: A Focus on Spatial Heterogeneity

Estimating changes in transport CO2 emissions due to changes in weather and climate in Sweden

Weather variability and travel behaviour – what we know and what we do not know

 

The dynamic of individuals’ learning process towards an extension of tvärbanan (LRT) line: (with Nursitihazlin Ahmad Termida, Joel Franklin)

When new options are introduced into the transport market or existing options are modified, it is found that travel demand responses are not instantaneous but evolve over time (Chatterjee and Ma, 2006). This particular research seeks greater understanding about the dynamic behavioral responses to the opening of new tram-line services and the factors that influence the adoption of tram use among residents.  The panel survey and interview method will be used to gather information and duration modeling will be applied to identify factors influencing the elapsed time after tram line introduction until residents first use or adopt the service.  Model development will be focused on the duration of the event.  Finally, panel data model will be developed for dynamic tram use in a changing travel environment.

Observing dynamic behavioural responses due to the extension of a tram line by using panel survey

Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year

Understanding seasonal variation in individual’s activity participation and trip generation by using four consecutive two-week travel diary

 

The long term changes of individual activity-travel behaviours in Sweden: (with Chengxi Liu, Maria Börjesson)

Different activity-travel participations of different generations in different life cycle stages of women in Sweden: Using series of the cross-sectional datasets of the Swedish national travel survey in several time periods from 1978 to 2011, this study explores the changes in women’s work and non-work activity-travel patterns over different life cycle groups and generations. It applies a model structure representing the interactions between work and non-work activity duration and travel patterns. The interactions are analysed by structural equations modelling method and is applied to women of different generations respectively. We find that the activity-travel patterns vary considerably between different life-cycle stages. The presence of children, single or partnered, young and old, influence work and non-work activity-travel patterns considerably. For example, the presence of children has strong negative effect on work duration but an even stronger positive effect on non-work duration. Moreover, we find expected differences between generations, reflecting the increasing gender equality in society, including the extension of the social welfare system in terms of childcare, women’s increasingly specialized labour markets and prosperity, and men’s increasing responsibility for household and childcare. 

Different activity-travel participation of different generation in different life cycle stages of women in Sweden

The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years