On modeling future workplace location decisions: An analysis of Texas employees

In this paper, the authors examine work place location (WPL) preferences of workers in an unpredictable and evolving future by investigating how workers would prefer to allocate their monthly working days among the three WPL alternatives of working from home, from the work office, and from a variable third WPL. In contrast to earlier studies that typically focus on telework as a binary of whether an individual is a teleworker or not, the authors focus their attention on workers’ preferences for specific combinations of all three WPLs over a period of a month (including, but not limited to, only selecting one WPL for all days of the month). In their analysis, the authors employ the multiple discrete–continuous extreme value (MDCEV) model, using a 2022 stated preference survey of future work preferences of employees residing in the state of Texas. The results indicate that single young women with very young children, those with long commutes and “intolerable” traffic congestion to the work office, individuals with a private study in their homes, self-employed workers, and those in non-essential service occupations have the highest preference for working from home. On the other hand, older men, individuals from low income households, those residing in rural areas, and workers in essential service occupations have the highest preference for the work office. And, for the third WPL, young non-single women with very young children, individuals from low income households, part-time employees, and those in professional, managerial or finance occupations have the highest predisposition. These results should provide valuable insights to urban planners, homebuilders, employers, travel demand modelers, and a whole host of other businesses to achieve specific desired end states. From a data collection standpoint, the authors' study underscores the need to collect detailed information about work patterns in future activity-travel surveys.

• Record URL:
  https://doi.org/10.1016/j.tra.2023.103671
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0965856423000915
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Asmussen, Katherine E
  • 0000-0002-5615-0708
  • Mondal, Aupal
  • 0000-0001-7724-7261
  • Bhat, Chandra R
  • 0000-0002-0715-8121
  • Pendyala, Ram M
  • 0000-0002-1552-9447
• Publication Date: 2023-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 103671
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 172
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Data collection; Decision making; Demographics; Employees; Location; Telecommuting; Travel surveys; Workplaces
• Geographic Terms: Texas
• Subject Areas: Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01889431
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 31 2023 5:24PM