01626253

Component

https://doi.org/10.3141/2666-06

Telecommuting has been regarded as an alternative work arrangement that provides higher levels of resilience and flexibility for the workforce. To provide a robust estimation of telecommuting activity, it is important to understand the extent of telecommuting and the underlying factors that contribute to telecommuters’ decisions. One line of discussion in behavioral decisions (including telecommuting) is the endogeneity issue, also referred to as simultaneity in cause and effect. The question is whether certain activity travel behaviors are the causes of telecommuting adoption or telecommuters are manifesting such behaviors because they telecommute. For instance, are people traveling more or farther because of the higher spatial–temporal freedom brought by telecommuting, or are they choosing to or having to telecommute because they already have those activity arrangements (e.g., take care of kids) in place. Exploring such interrelationships between the choice to telecommute, activity travel plans, and other personal and household decisions is the major motivation for this research. Structural equation models were developed. Results showed that adding feedback effects to the full model improved the goodness of fit of the model, and this improvement is statistically significant (P-value = .032). Furthermore, it could be inferred that a decision to participate in nonmandatory activities has significant positive impact on propensity to telecommute, and it is more in favor of a full-day telecommuting arrangement (versus a part-day arrangement). This study used the 2010–2011 regional household travel survey data from the New York metropolitan region.

01648400

17-00848

English

pp 47–57

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309441926

Digital/other

Figures (3) ; References (58) ; Tables (3)

Activity choices; Households; Structural equation modeling; Telecommuting; Travel behavior; Travel surveys

Endogeneity

New York Metropolitan Area

Passenger Transportation; Planning and Forecasting

TRIS, TRB, ATRI

Dec 8 2016 10:12AM

• Analysis of Car Type Preferences Among Students Based on Seemingly Unrelated Regression
• Analysis of the Impact of Technology Use on Multimodality and Activity Travel Characteristics
• Built Environment and Walking to School: Findings from a Student Travel Behavior Survey in Massachusetts
• Changing Influence of Factors Explaining Household Car Ownership Levels in the Netherlands
• Digital Narratives of Place: Learning About Neighborhood Sense of Place and Travel Through Online Responses
• Exploring Daily Rhythms of Interpersonal Contacts: Time-of-Day Dynamics of Human Interactions with Latent Class Cluster Analysis
• Exploring the Role of Social Media Platforms in Informing Trip Planning: Case of Yelp.com
• Inferring Activities from Social Media Data
• Modeling Week Activity Schedules for Travel Demand Models
• Personalization of Routing Services: User Classification as a Method to Overcome the Cold Start Problem for Personalized Models
• The Path of Least Resistance: Identifying Supporters of Public and Active Transportation Projects