Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach

Kim, Seung-Nam; Choo, Sangho; Mokhtarian, Patricia L.

doi:10.1016/j.tra.2015.07.018

Cited by 84 publications

(65 citation statements)

References 41 publications

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“…As one interviewee questioned: For instance, it has been shown that telecommuting in the US is associated with an overall switch from motorised transport to physically active transport on the days when workers telecommute, but that their overall annual driving is greater on average -the frequency of teleworking days did not seem to offset the longer commute-distances of teleworkers (Chakrabarti, 2018; see also e Silva & Melo, 2018). Another form of backfire can occur at the household level, where a telecommuting 'head of the household' permits others in the household use of the car, actually increasing overall driven distance at the household level (Kim, Choo & Mokhtarian, 2015) but there is not always evidence for this, (Melo & e Silva, 2017).…”

Section: Mobility Substitutionmentioning

confidence: 99%

User decision-making in transitions to electrified, autonomous, shared or reduced mobility

Whittle

Whitmarsh

Haggar

et al. 2019

Transportation Research Part D: Transport and Environment

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Mobility affords a range of benefits, but there are environmental, social and economic problems associated with current transport systems. Innovations to address these issues include novel technologies (e.g., electric and autonomous vehicles; EVs, AVs), and new business models and social practices (e.g., shared mobility). Yet, far more attention by policy-makers and researchers has been paid to the technical aspects of a low-carbon mobility transition than to social or psychological aspects, or the role of the user. In this paper, we integrate insights from the multi-level perspective on transitions and socio-psychological literature and draw on transport expert interview (N=11) data, to examine (a) what influences current attitudes and behaviours in respect of EVs and AVs, and shared mobility, and (b) how this may change in the years to come. We argue that technological change may be most compatible with the transport regime (dominated by personal car-based mobility) but potentially affords a narrower range of sustainability benefits, while mobility substitution (e.g., reducing the need to travel through tele-working or -shopping) may be most challenging for both policy-makers and publics, while potentially addressing a wider range of sustainability problems associated with the transport regime. Shared mobility options sit somewhere in between and challenge certain aspects of the regime (e.g., status associated with car ownership) while offering certain environmental, social and economic benefits. For all three areas of innovation, policy interventions need to address the needs, preferences, experiences and identities of users if they are to be effective and sustainable.2 KeywordsLow-carbon mobility, transition, multi-level perspective, psychology, decision-making Highlights-We provide a psychologically-informed discussion of the transition to low-carbon mobility.-Our analysis highlights nuances in the interaction between individuals and infrastructures, and how 'lock-in' is experienced in different ways.-Users fulfil important social as well as economic functions in innovation processes.-Social and psychological factors (identity, emotions, etc.), as well as physical environment and infrastructures, constrain and foster innovation. AcknowledgementsThe review on which this article is based was funded by the UK Government Office of Science's Foresight Future of Mobility Programme. We gratefully acknowledge the time provided by interviewees to participate in the research, as well as the helpful comments of reviewers in improving the manuscript.3

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Section: Mobility Substitutionmentioning

confidence: 99%

User decision-making in transitions to electrified, autonomous, shared or reduced mobility

Whittle

Whitmarsh

Haggar

et al. 2019

Transportation Research Part D: Transport and Environment

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show abstract

“…Moreover, the SURE can provide estimates of how relationships may vary over the cross-sectional and time series dimensions, and it has the capacity to test hypotheses about these relationships (Fiebig, 2001). Beyond the field of statistics and econometrics, empirical studies that utilize SURE and its variation cover many social science fields, including finance (Lee et al, 2013), transportation (Kim et al, 2015), agriculture (Jha et al, 1999), energy (Khan et al, 2014) and others. 5 The traditional production function considers labor and capital as inputs to generate the output.…”

Section: Resultsmentioning

confidence: 99%

Resource misallocation in Chinese manufacturing enterprises: evidence from firm-level data

Wei

2017

Journal of Cleaner Production

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“…While empirical evidence for the substitution effect are mainly found in shopping related research, there also are a few studies that have found a decrease in travel demand due to the telecommuting. Kim et al (2015), using the Household Travel Survey in 2006, suggested that the use of households' only automobile might be used for non-commuting purpose given that the household head's commuting behavior was replaced with telecommuting. It is hence notable that the decrease of commuting traffic sufficiently offset the total traffic volume of the city as the non-commuting traffic increases.…”

Section: B Changes In Travel Demand and Land Usementioning

confidence: 99%

“…As seen in the several empirical studies, there still are considerable divergent opinions and controversies over the causes and processes in which substitutive and complementary effects are expressed, no theoretical and empirical consensus has been reached on its potential for substituting or generating additional travel (Kim et al, 2015). Moreover, most of these empirical studies were based on comprehensive data using secondary data.…”

Section: Substitution Effectsmentioning

confidence: 99%

Complementary and Substitutive Effects of Telecommunication on the Frequency of Visiting the City Center

Park¹

2019

KREAA

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Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach

Cited by 84 publications

References 41 publications

User decision-making in transitions to electrified, autonomous, shared or reduced mobility

User decision-making in transitions to electrified, autonomous, shared or reduced mobility

Resource misallocation in Chinese manufacturing enterprises: evidence from firm-level data

Complementary and Substitutive Effects of Telecommunication on the Frequency of Visiting the City Center

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