Modelling contact mode and frequency of interactions with social network members using the multiple discrete–continuous extreme value model

Calastri, Chiara; Hess, Stephane; Daly, Andrew; Maness, Michael; Kowald, Matthias; Axhausen, Kay W.

doi:10.1016/j.trc.2016.12.012

Cited by 40 publications

(19 citation statements)

References 46 publications

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“…The older adults in village A had a higher proportion in both nonworking and long-time working categories. The observed values of men, younger (60)(61)(62)(63)(64)(65)(66)(67)(68)(69), and single old people who did not work were less than the expected values, and the adjusted standardized residuals were −1.5, −2.4, and −2.2, respectively, indicating that such people were not inclined to be nonworking. There was a significant correlation between the demand for health service and the length of working hours (p = 0.006).…”

Section: Temporal Characteristics Of the Daily Activity Of Older Adulmentioning

confidence: 79%

“…In order to cope with this situation, China has implemented the 9073 or 9064 model since 2009 to reach 90% of the older adults aging in their local communities [9]. However, in rural communities, shrinking family size and the group heterogeneity will also affect or restrict participation in activities and time allocation [47,55,[58][59][60][61][62]. Moreover, people will weigh the time allocated to different activities within a time limit [63,64].…”

Section: Introductionmentioning

confidence: 99%

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Exploring Daily Activity Patterns on the Typical Day of Older Adults for Supporting Aging-in-Place in China’s Rural Environment

Zhang

Qiu

2020

IJERPH

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Severe aging in rural China is prompting communities to promote support for older people to age in place. The study of the daily life of older adults in rural areas is conducive to understanding their real life and demands, as well as the way they interact with their environment, to develop feasible strategies. In this study, 171 older adults over 60 years old in two different types of villages in Northern Zhejiang Province were investigated and analyzed in terms of the temporal and spatial features of daily activities, as well as their relationship with population attributes, personal competence, and subjective demands. The results show that: (1) significant association can be seen between working hours and the demand for health services, housework hours and gender and age, as well as leisure hours and ADL and the demand for recreational services. (2) The older adults appear to have inter-group homogeneity in some aspects: basic living activities, leisure hours, the gender difference in housework hours, and recreational preference, while they have higher average paid work hours and fewer leisure alternatives than their urban counterparts. Their definitions of paid work, housework, and leisure activities are vague. (3) The definition of home by the older adults in rural places sometimes seems to go beyond the scope of their own house, and the extensive definition of home may change their recognitions of some activities. They also inclined to assign meaning to a place through frequent use rather than through external definitions. (4) The weak consciousness on buying services and deteriorated financial situation hinders the older adults in rural communities from expressing their real demands. Unspoken demands include economic security, recreational choices, and assistance in housework. The results will help to provide references for the improvement of eldercare services and the community environment.

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Section: Temporal Characteristics Of the Daily Activity Of Older Adulmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Exploring Daily Activity Patterns on the Typical Day of Older Adults for Supporting Aging-in-Place in China’s Rural Environment

Zhang

Qiu

2020

IJERPH

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“…For more information, please refer to a review of time-use modelling [ 21 ]. Existing research of multiple discrete-continuous choices for individual time-use modeling can be classified into two groups: multivariate discrete-continuous frameworks (e.g., [ 19 , 22 – 26 ] and Karush-Kuhn-Tucker (KKT) demand systems (e.g., [ 22 , 27 – 31 ]).…”

Section: Literature Reviewmentioning

confidence: 99%

“…There may be three major patterns among alternatives: complementarity, imperfect substitution and perfect substitution. 3)Towards flexible constraints, for example, multiple constraints [ 31 ] and stochastic time budget [ 25 ].…”

Section: Literature Reviewmentioning

confidence: 99%

A joint model of household time use and task assignment for elderly couples with multiple constraints

2021

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Household time-use patterns are expected to reflect each household member’s daily activity participation and duration with intra-household interactions constrained by multiple budgets. Among various activities, the allocated activity derived from undertaking a household task is studied relatively less in the literature. Who will take an allocated activity is a discrete choice problem of household task assignment, and once a household member is assigned with one household task, other members will have more time to do other activities. To better understand household time-use patterns affected by household task assignment, this paper proposed a joint household-level multiple discrete-continuous extreme value-multinomial logit (MDCEV-MNL) model with multiple constraints. The Karush-Kuhn-Tucker (KKT) method combined with the simulation-based maximum likelihood estimation method is proposed to estimate the proposed model. Based on the household activity-travel data from Beijing of China, the proposed model is customized to explore elderly couples’ time-use patterns with intra-household interactions affected by household task assignment. Following the findings, policy implications are suggested to build an age-friendly society.

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“…Kempe et al, 2003). Choice modellers have engaged with their analysis by looking at the potential effects that social networks may have on decisions across a variety of contexts, including time use (Calastri et al, 2017a), telecommuting (Páez and Scott, 2007) and evacuation stategies (Sadri et al, 2017) and by modelling decisions related to social interactions (Calastri et al, 2017b). Several contributions focused on addressing the issue of how to capture social influence (Dugundji and Walker, 2005;Maness et al, 2015), with some also dealing with the issue of endogeneity that might be implied by including such effects (Walker et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Modelling the loss and retention of contacts in social networks: The role of dyad-level heterogeneity and tie strength

Calastri

Hess

Daly

et al. 2018

Journal of Choice Modelling

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Modelling contact mode and frequency of interactions with social network members using the multiple discrete–continuous extreme value model

Cited by 40 publications

References 46 publications

Exploring Daily Activity Patterns on the Typical Day of Older Adults for Supporting Aging-in-Place in China’s Rural Environment

Exploring Daily Activity Patterns on the Typical Day of Older Adults for Supporting Aging-in-Place in China’s Rural Environment

A joint model of household time use and task assignment for elderly couples with multiple constraints

Modelling the loss and retention of contacts in social networks: The role of dyad-level heterogeneity and tie strength

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