Not driving alone? American commuting in the twenty-first century

DeLoach, Stephen B.; Tiemann, Thomas K.

doi:10.1007/s11116-011-9374-5

Cited by 51 publications

(19 citation statements)

References 7 publications

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“…The carpooling literature has extensively studied factors influencing commuter decisions to carpool, mainly by examining commuter surveys (for e.g., Arbour-Nicitopoulos et al, 2012;DeLoach and Tiemann, 2011;Teal, 1987) and carpooling schemes case studies (Cairns et al, 2010;Canning et al, 2010;Shoup, 1997). The factors identified by these studies can be classified in various ways.…”

Section: Influencers Of Carpooling Behaviourmentioning

confidence: 99%

How commuters’ motivations to drive relate to propensity to carpool: Evidence from the United Kingdom and the United States

Neoh

Chipulu

Marshall

et al. 2018

Transportation Research Part A: Policy and Practice

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This paper examines how commuter motivations to drive relate to propensities to carpool, using two sequential studies: Study 1 determines the key dimensions of commuters' motivations for driving using secondary data (N = 432) from staff and postgraduate student commuters at a United Kingdom university. We code the contents of the respondents' self-reported reasons for driving (i.e. the instrumental rationalities attributed to driving with respect to varying purposes) to identify keywords representing motivation to drive; we then analyse the keyword data using multidimensional scaling (MDS). Study 2 examines how the dimensions discovered through study 1 relate to propensity to carpool, using structural equation modelling (SEM). Data for Study 2 are the survey responses of commuters (N = 1028) based in the United States. The MDS reveals four key dimensions of motivation to drive. These capture instrumental rationalities for driving within four situational domains which we term: (1) Family; (2) Public transport impractical changes; (3) Rigid schedule; and (4) Non-urban areas. The SEM results show that the regression coefficients on propensity to carpool of Public transport impractical changes and Rigid schedule are significant and negative; the Family domain has a positive but nonsignificant regression coefficient. Regarding demographics, men's mean values on all four domain variables are significantly higher than those for women, except for the Family domain where the mean value for women is higher; meanwhile, age predicts decreasing propensity to carpool. Additionally, the situational domains of Public transport impractical changes, Rigid schedule and Non-urban areas significantly positively correlate. Consequently, overall, the results imply that addressing commuters' instrumental rationalities for driving, namely increasing schedule flexibility and providing more direct or quicker public transport, could indirectly encourage commuters to carpool. The study makes an original contribution by estimating the causal relationship between commuters' motivation to drive and propensity to carpool.

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Section: Influencers Of Carpooling Behaviourmentioning

confidence: 99%

How commuters’ motivations to drive relate to propensity to carpool: Evidence from the United Kingdom and the United States

Neoh

Chipulu

Marshall

et al. 2018

Transportation Research Part A: Policy and Practice

View full text Add to dashboard Cite

show abstract

“…Este termo só viria a ser falado novamente quando a 17 Esta situação deveu-se essencialmente à grande queda nos preços dos combustíveis (45%) durante a década de 80 [16]. Além disso, o conceito de Carpooling foi mudando a partir do conceito "Dagwood Bumstead", em que cada condutor ia buscar os passageiros em sequência, num conceito "park and ride", onde todos os passageiros se encontravam num local comum [17].…”

Section: Evolução Históricaunclassified

MoCaS: Mobile Carpooling System

Ribeiro

Silva

Abreu

2015

New Contributions in Information Systems and Technologies

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“…DeLoach and Tiemann [19] made an investigation through surveying commuting trends of American workers. They found that the changes in the price of gasoline will influence the incidence of driving alone.…”

Section: ) {Car (C 2 ) Cost (S 2 )} On Passenger (R 2 )mentioning

confidence: 99%

Improve the Carpooling Applications with Using a Social Community Based Travel Cost Reduction Mechanism

Chen¹,

Hsu²

2013

IJSSH

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Abstract-Carpooling on the strength of information and communications technology (ICT) has been a widely accepted concept to implement better transportation system. However in reality, most of current carpooling systems or applications are not functioned well as the expected. The reason varies according to the weakness of different carpooling designs. This paper reviews and analyzes literatures and projects in terms of carpooling applications through a proposed CRS analysis model. Based on the results of CRS analysis, this paper designs a Social Community based Carpooling (SCC) model with the feature of travel cost reduction for both supply and demand sides.The presented SCC scheme can provide a considerable business model for potential carpooling operators, indicate a valuable research direction of promoting carpooling services, and also implicate initiatives for environmental sustainability.

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Not driving alone? American commuting in the twenty-first century

Cited by 51 publications

References 7 publications

How commuters’ motivations to drive relate to propensity to carpool: Evidence from the United Kingdom and the United States

How commuters’ motivations to drive relate to propensity to carpool: Evidence from the United Kingdom and the United States

MoCaS: Mobile Carpooling System

Improve the Carpooling Applications with Using a Social Community Based Travel Cost Reduction Mechanism

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