Towards a social psychology of recreational travel

Iso‐Ahola, Seppo E.

doi:10.1080/02614368300390041

Cited by 223 publications

(157 citation statements)

References 17 publications

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“…First, our approach explicitly considers the decreasing marginal valuation (or satiation) in time invested in each discrete alternative of activity purpose and participating individuals, as opposed to traditional approaches that only consider satiation within an individual for each activity purpose. Just as the idea of satiation within an individual for a specific activity purpose may be motivated from Iso-Ahola's (1983) theory that the diversification of participation in different types of activities is a natural consequence of a socialpsychological need for optimal arousal based on stability (psychological security) as well as change (novelty), it is only reasonable that satiation is present in terms of time investment in each discrete alternative of activity purpose and participating individuals. Indeed, Sener and Bhat (2007), Kapur and Bhat (2007), and all clearly demonstrate the presence of such satiation effects by activity purpose-participating individual combinations.…”

Section: Economic Basismentioning

confidence: 99%

A household-level activity pattern generation model with an application for Southern California

et al. 2013

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This paper develops and estimates a Multiple Discrete Continuous Extreme Value (MDCEV) model of household activity generation that jointly predicts the activity participation decisions of all individuals in a household by activity purpose and the precise combination of individuals participating. The model is estimated on a sample obtained from the Post Census Regional Household Travel Survey conducted by the South California Association of Governments (SCAG) in the year 2000. A host of household, individual, and residential neighborhood accessibility measures are used as explanatory variables. The results reveal that, in addition to household and individual demographics, the built environment of the home zone also impacts the activity participation levels and durations of households. A validation exercise is undertaken to evaluate the ability of the proposed model to predict participation levels and durations. In addition to providing richness in behavioral detail, the model can be easily embedded in an activity-based microsimulation framework and is computationally efficient as it obviates the need for several hierarchical sub-models typically used in extant activity-based systems to generate activity patterns.Keywords: Intrahousehold interactions, joint activity participation, multiple-discreteness, activity-based travel demand modeling 1 INTRODUCTIONThe emphasis of the activity-based approach to travel modeling is on activity participation and scheduling over a specified time period (usually a weekday in the U.S.), with travel being viewed as a derivative of out-of-home activity participation and scheduling decisions. While the detailed structures of activity-based models (ABMs) vary substantially, it is typical for ABMs to model "mandatory" activity decisions such as out-of-home work-related decisions (employed or not, duration of work, location of work, and timing of work) and education-related decisions (student or not, duration of study, location of study, and timing of study) as precursors to the generation of out-of-home non-work activity participations and the overall activity-travel schedules of individuals (including the scheduling of work and non-work episodes). Within the context of the generation of out-of-home non-work activity participation, while early activity-based travel studies ignored the interactions between individuals within a household (see, for example, Mannering et al., 1994, Lu andPas, 1999), more recent studies and models have emphasized the need to explicitly consider such interactions and model joint activity participations within a household. This is motivated by several considerations. First, individuals within a household usually do not make their activity engagement decisions in isolation. As articulated by Gliebe and Koppelman (2002) and Kapur and Bhat (2007), an individual's activity participation decisions are likely to be dependent on other members of the household because of the possible sharing of household maintenance responsibilities, joint activity participat...

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Section: Economic Basismentioning

confidence: 99%

A household-level activity pattern generation model with an application for Southern California

et al. 2013

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“…According to Iso-Ahola (1980), 'a motive is an internal factor that arouses, directs and integrates a person's behaviour'. Motivation arouses from a state of tension and disequilibrium within individuals generated by their internal psychological factors (needs and wants).…”

Section: Motivation To Shop In Shopping Tourismmentioning

confidence: 99%

Tourist market segmentation by motivation to shop: A case study of Istanbul, Turkey

Egresi¹

2017

Geographica Pannonica

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Previous research has indicated that shopping could make up for a significant part of the tourist experience and could provide significant benefits to destinations by contributing to local retail revenue and by generating many jobs. In order to design better marketing strategies, destination managers must understand what attracts tourists to a destination and makes them shop while there. However, tourists represent a heterogeneous group and subgroups of individuals are motivated to visit a destination for a variety of reasons. The primary purpose of this study is to segment tourist shoppers visiting Istanbul according to their motivation to shop. Five distinctive groups of 'product-focused shoppers', 'shoppers for cultural experience', 'reluctant shoppers', 'difference seekers' and 'total shoppers' were found and compared by the geographical origin of the tourists, their socio-demographic characteristics, travel characteristics and behaviour, primary motivation for the trip, activity participation and shopping preferences and attitudes. The findings indicate that destination marketers must develop their strategies and marketing products to address the heterogeneity of motivations underlying tourist shopping.

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“…In fact, the group structure greatly influences behavior before and during consumption (Debenedetti, 2003;Descrop, Pecheux & Bauvin, 2007;Iso-ahola, 1983;Tinsley & Kass, 1979).…”

Section: The Person E Situation Relationships: the Vacation Context (mentioning

confidence: 98%

How heritage site tourists may become monument visitors

Petr

2015

Tourism Management

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Towards a social psychology of recreational travel

Cited by 223 publications

References 17 publications

A household-level activity pattern generation model with an application for Southern California

A household-level activity pattern generation model with an application for Southern California

Tourist market segmentation by motivation to shop: A case study of Istanbul, Turkey

How heritage site tourists may become monument visitors

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