Joint Activity Participation Research Articles

Social influences on household location, mobility and activity choice in integrated micro-simulation models

Agent-based approaches to simulating long-term location and mobility decisions and short-term activity and travel decisions of households and individuals are receiving increasing attention in land-use and transportation interaction (LUTI) models to predict land-use changes and travel behaviour in mutual interaction. Social interactions between households and between individuals potentially have an influence on a wide range of the long-term and short-term choices involved in these systems. In this paper we identify the areas in which social interactions play a role and address the question how these influences can be modelled in the context of agent-based LUTI models. We distinguish impacts on activity participation (joint activity participation, support-and-help activities) and impacts on decision making (information exchange, social adaptation of preferences and aspirations) as the two main areas of social influence. A prototype of a LUTI model is proposed that accounts for impacts of the social network on longer-term mobility decision making through information exchange and social adaptation of preferences and aspirations. The model is demonstrated in a numerical simulation.

Modeling households activity participation decisions in a rule-based system of travel demand

This paper describes an empirical derivation of an activity participation choice model at the household level decisions taking into account the allocated activities and joint activity participation of household heads in discretionary activities. The households that we consider here are two-heads households; each is either a worker or non-worker. Attributes of households, such as, for example the presence of young children, attributes of the work activities and space-time settings are considered as explanatory variables. To deal with this large set of attributes and account for non-linear relationships between the variables, a decision tree induction method - CHAID - is used to derive a decision tree model. We show how the decision tree model can be used as a component in an activity-scheduling model, ALBATROSS, to predict travel demand in an activity-based-micro-simulation system. The model shows a satisfactory performance as indicated by its goodness-of-fit on validation data.

Promoting children’s participation: the role of teachers in preschool and primary school learning sessions

The aim of this study is to provide insights into the social construction of participation in joint activities in Finnish preschool and primary school classrooms. The article deals with two issues: How do teachers promote participation in a preschool classroom as compared with a primary school classroom? What similarities and differences are found? It also considers the question of how the similarities contribute to the continuity from preschool to primary school in terms of participation. Based on observation data insights are provided into the interactions between teachers and children by using extracts from teacher‐led learning sessions. The teachers used a diversity of strategies to promote participation in both contexts. In the preschool the focus was on participation and interaction as such, whereas in the primary school the emphasis was more clearly on academic learning. The findings suggest that teacher support of active participation and friendly relationships, together with creative and playful activities in the preschool, enrich children’s curiosity, and nourish children’s motivation for and interests in academic learning.

Dealing with Timing and Synchronization in Opportunities for Joint Activity Participation. 公共活动参与机会中实时性与同步性处理

The ability of people to access opportunities offered by the built environment is circumscribed by various sets of space–time constraints, including the requirements to meet other persons at particular times and places to undertake activities together. While models of space–time accessibility recognize that joint activities may constrain the performance of activities in space and time, their specifications do not explicitly acknowledge the opportunities that individuals of a group have for joint activity participation. Therefore, this article focuses on joint activity participation and argues that collective activity decisions are the outcome of a complex process involving various aspects of timing, synchronization, and social hierarchy. The utility‐theoretic model proposed here quantifies the extent to which opportunities can be jointly accessed by a particular group of people within a specific time period. Central to the approach are three key variables: the attractiveness of an opportunity, the time available for activity participation, and the travel time to an activity location. Because of the multiperson character of joint activities, the determination of these variables is subject to individual preferences, privileges, and power differentials within a group. Specific attention is given to how time‐of‐day and synchronization effects influence the opportunities accessible to a group of individuals. The impact of these factors on joint accessibility is illustrated by a real‐world example of an everyday rendezvous scenario. The outcomes of a simulation exercise suggest that time‐of‐day and synchronization effects significantly affect the benefits that can be gained from opportunities for joint activities.

Simultaneous Model for Household Interactions in Daily Activity, Information and Communication, and Social Behavior

This paper describes the development, estimation, and interpretation of a simultaneous structural equations model relating sociodemographics, household interactions in daily in-home and out-of-home physical and virtual activity participation, social interactions (measured by with whom the activities are performed), use of telecommunication, and travel behavior. The model is unique in its simultaneous representation of each decision maker's choices about participation patterns for solo and joint with-whom in-home and out-of-home physical and virtual activities, and the complex set of structural relationships among such patterns, and household and individual sociodemographics. The empirical model was estimated by using data from a recent 2-day activity and travel diary survey conducted in the Cairo, Egypt, region. The results highlight the influence of sociodemographics, household traditions, beliefs, social roles, and lifestyle on individuals’ solo- and joint-activity patterns. Furthermore, the results showed a significant trade-off between joint and solo participation for both in-home and out-of-home activity participation. In contrast, significant complementary relationships were found between joint in-home virtual activities and joint out-of-home activities. Furthermore, this study provides another justification for the holistic and comprehensive approach to studying the interrelationships between information and communication technologies and household interactions in daily activity and travel behavior. The results revealed complementary relationships between joint activity participation and telecommunication use. These results have important implications for estimation and forecasting of activity travel demand, given the significant household interaction patterns, especially for people of Cairo.

Continuous Choice Model of Timing and Duration of Joint Activities

This paper contributes to the recent interest in household decisions in activity-based analysis. It focuses on the joint participation of male–female heads of household in nonwork activities and attempts to model the timing and duration decisions of these activities by using decision tree induction. The data used originate from the 2004 National Travel Survey in the Netherlands. The results show that activity type has the most significant influence in both models. In addition, time availability for nonwork activities during morning off-peak periods has a strong influence on start-time decisions. The results also suggest a strong influence of duration decisions on start-time decisions. Overall, modeling household decisions for the timing and duration of joint activity participation is shown to have some clear advantages.

A need-based model of multi-day, multi-person activity generation

In this paper, we develop a model of activity generation for a multi-day planning period that takes within-household interactions between individuals into account. The model is based on the theoretical framework we proposed in earlier work which assumes that utilities of activities are a dynamic function of needs of individuals at person and household levels. In the model, individuals use a utility-of-time threshold parameter to decide when to include an activity in their agenda. The threshold represents a personal perception of time pressure and is continuously adapted based on learning. In an exchange phase, the individuals (re-)allocate household tasks based on a negotiation protocol with the aim of improving the group result. The model takes into account day-varying time-budgets of individuals, influences of perception, selfishness–altruism, joint activity participation and competences of individuals to satisfy particular needs. We illustrate the model by means of simulations and suggest ways for future research.

An exploratory analysis of joint-activity participation characteristics using the American time use survey

This paper presents a detailed exploratory analysis of joint activity participation characteristics using the American Time Use Survey (ATUS). As a very large nationwide survey that explicitly elicited information on both household and non-household companions for each activity episode, the ATUS is ideally suited for this analysis. Several intuitive and interesting results are obtained. Joint episodes are found to be of longer durations, significantly likely to take place at the residence of other people, and often confined to certain time periods of the weekday. In addition, important differences in these characteristics are also observed based on activity purpose, companion type, and the day of the week. These findings are intended to provide the basis for the justification of detailed collection of joint activity–travel participation information in household activity–travel surveys, and also as a stimulant for further empirical analysis and modeling of joint activity participation behavior.

Non‐Departmental Public Bodies Under the Howard Governments1

There has been both continuity and change in the use of non‐departmental public bodies (NDPBs) during the Howard years. In terms of continuity, the statutory authority and its incorporated version, the statutory corporation (in whose development late 19th and early 20th century Australian governments played such an important part), have remained in wide use. In terms of change, however, two other NDPB forms offered some challenge to its popularity. The government‐owned company came to be a preferred form for government business enterprises (GBEs) and, more recently, for many other non‐commercial public activities as well. And the executive agency, first making its Australian appearance in 1999, seemed initially to be another significant challenger, but its numbers, never great, were soon cut back. The article examines these trends, relating them to several relevant systemic inquiries and policy changes, notably the Humphry review of the governance of GBEs, the final settlement (in 1997) of the package of financial management acts, the Uhrig inquiry of 2003 and the system‐challenging pressures that have followed it. Commonwealth participation in joint (Commonwealth/subnational and Commonwealth/private) activities is also noted, as is the lack of ‘fit’ of the Australian experience with international theorising about ‘agencification’. Finally, the article seeks to identify the leading figures within the Howard governments who have been directing both the changes and the continuities involved in these developments.

A multiple discrete-continuous model for independent- and joint-discretionary-activity participation decisions

This paper presents a multiple discrete-continuous econometric structure to model the daily time-investment decisions of couples in solo- and joint-discretionary activities incorporating intra-personal and inter-personal inter-dependencies. The empirical model was estimated using data from the 2000 Bay Area Travel Survey. The results indicate evidence of the positive impact of vehicle availability on independent activity participation and the negative impacts of the presence of children and mandatory time investments on the joint discretionary-activity engagement of the spouses. In addition, we also find the mandatory- and maintenance-activity-participation characteristics of the spouse to influence the discretionary activity choices of individuals. Finally, the analysis also indicates a strong impact of common unobserved factors on the decisions of couples. From a policy analysis perspective, these results imply that demand-management actions directly impacting one adult could also result in changes to the activity patterns of his/her spouse and to changes in joint activity participation characteristics.

Modeling household interactions in daily in-home and out-of-home maintenance activity participation

The activity travel patterns of individuals in a household are inter-related, and the realistic modeling of activity-travel behavior requires that these interdependencies be explicitly accommodated. This paper examines household interactions impacting weekday in-home and out-of-home maintenance activity generation in active, nuclear family, households. The in-home maintenance activity generation is modeled by examining the duration invested by the male and female household heads in household chores using a seemingly unrelated regression modeling system. The out-of-home maintenance activity generation is modeled in terms of the decision of the household to undertake shopping, allocation of the task to one or both household heads, and the duration of shopping for the person(s) allocated the responsibility. A joint mixed-logit hazard-duration model structure is developed and applied to the modeling of out-of-home maintenance activity generation. The results indicate that traditional gender roles continue to exist and, in particular, non-working women are more likely to share a large burden of the household maintenance tasks. The model for out-of-home maintenance activity generation indicates that joint activity participation in the case of shopping is motivated by resource (automobiles) constraints. Finally, women who have a higher propensity to shop are also found to be inherently more efficient shoppers.

Modeling household activity–travel interactions as parallel constrained choices

The daily activity-travel patterns of individuals often include interactions with other household members, which we observe in the form of joint activity participation and shared rides. Explicit representation of joint activity patterns is a widespread deficiency in extant travel forecasting models and remains a relatively under-developed area of travel behavior research. In this paper, we identify several spatially defined tour patterns found in weekday household survey data that describe this form of interpersonal decision-making. Using pairs of household decision makers as our subjects, we develop a structural discrete choice model that predicts the separate, parallel choices of full-day tour patterns by both persons, subject to the higher level constraint imposed by their joint selection of one of several spatial interaction patterns, one of which may be no interaction. We apply this model to the household survey data, drawing inferences from the household and person attributes that prove to be significant predictors of pattern choices, such as commitment to work schedules, auto availability, commuting distance and the presence of children in the household. Parameterization of an importance function in the models shows that in making joint activity-travel decisions significantly greater emphasis is placed on the individual utilities of workers relative to non-workers and on the utilities of women in households with very young children. The model and methods are prototypes for tour-based travel forecasting systems that seek to represent the complex interaction between household members in an integrated model structure.

Making community: Individuals and families living with and affected by haemophilia, HIV/AIDS and other blood borne viruses

This paper brings into question conceptualizations of community, specifically those that have been termed 'communities of shared interest and circumstance'. To do this, it explores the ways that people with haemophilia and their families experience and constitute community. Drawing on empirical data from semi-structured interviews and participation in joint activities, this paper details and describes the nature of the Australian haemophilia community. In doing this it addresses the role that advances in medical technologies and blood borne viruses, such as HIV, play in the production and maintenance of this community. Findings suggest that the haemophilia community is one steeped in historical intrafamilial genealogies and a network of other families, interfamilial, that pre-existed HIV and other blood borne viruses. As such, it is a more complex community than the term 'communities of shared interest and circumstances' suggests and has the potential to provide much to public health partnerships, which respond to HIV and other blood borne viruses that infect and affect others.

A model of joint activity participation between household members

A proportional shares model of daily time allocation is developed and applied to the analysis of joint activity participation between adult household members. The model is unique in its simultaneous representation of each decision maker's decisions concerning independent activity participation, allocation of time to joint activities, and the interplay between individual and joint activities. Further, the model structure ensures that predicted shares of joint activity outcomes be the same for both decision makers, an improvement over models that do not make interpersonal linkages explicit. The empirical analysis of travel diary data shows that employment commitments and childcare responsibilities have significant effects on tradeoffs between joint and independent activities. In addition, evidence is presented for the continued relevance of gender-based role differences in caring for children and employment participation.

Intersubjectivity Without Agreement

In this paper, there is an attempt to construct the notion of intersubjectivity as a process of a coordination of participants' contributions in joint activity. This notion incorporates the dynamics of both agreement and disagreement. I argue that a traditional definition of intersubjectivity as a state of overlap of individual understandings overemphasizes agreement and de-emphasizes disagreement among the participants in joint activity. It disregards disagreement at two levels: 1) by focusing only on integrative, consensus seeking, activities, in which disagreement among participants of joint activity often is viewed as only the initial point of the joint activity that has to be resolved by the final agreement (macro-level), and by considering disagreements as only nuisances or obstacles while focusing on integrative activities (micro-level). To illustrate how disagreement can constitute intersubjectivity at macro- and micro-levels, examples of children ' s development of a classroom play are examined. ...

Joint Problem-solving Mediated by a Computer Network

Joint problem-solving as a kind of collaboration (cooperation) requires coordinated planning of activities by individual participants and overall coordination [1]. It therefore includes individual activities of each participant without reducing their total, but rather representing a new, dynamic structure. Analogously, a group engaged in a common activity includes individual members, but is not simply their total, representing a new standard [2,3]. Among the participants is a broad spectrum of interpersonal processes and interpersonal characteristics of individual participants in joint activity—cooperation [4]. Communication, which of necessity is a part of coordination of this activity and influences its effectiveness, is the basic social-psychological process therein.

Similarity of outcomes, interdependence, and conflict in dating relationships.

Dating couples (N = 59) participated in a longitudinal study of hypotheses derived from interdependence theory. Whether each partner's activity preferences and similarity of preferences, weighted by liking, would predict joint activity participation was examined. Preferences explained participation better than similarity, and own preferences predicted better than other's preferences. We hypothesized that conflict would increase with the strength of preferences but would decrease with similarity. The hypothesis concerning similarity was confirmed for some activities. Participation, similarity, and conflict explained relationship satisfaction and stability, but participation predicted better for men, whereas conflict and similarity predicted better for women. The findings support the theory but suggest that interdependence problems vary by activity type and gender. Three patterns are discussed: turn taking, unresolved competition, and cooperation.

Similarity of outcomes, interdependence, and conflict in dating relationships.

Dating couples (N = 59) participated in a longitudinal study of hypotheses derived from interdependence theory. Whether each partner's activity preferences and similarity of preferences, weighted by liking, would predict joint activity participation was examined. Preferences explained participation better than similarity, and own preferences predicted better than other's preferences. We hypothesized that conflict would increase with the strength of preferences but would decrease with similarity. The hypothesis concerning similarity was confirmed for some activities. Participation, similarity, and conflict explained relationship satisfaction and stability, but participation predicted better for men, whereas conflict and similarity predicted better for women. The findings support the theory but suggest that interdependence problems vary by activity type and gender. Three patterns are discussed: turn taking, unresolved competition, and cooperation.