IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v38y2011i1p101-122.html
   My bibliography  Save this article

Discretionary activity location choice: in-home or out-of-home?

Author

Listed:
  • Gulsah Akar
  • Kelly Clifton
  • Sean Doherty

Abstract

No abstract is available for this item.

Suggested Citation

  • Gulsah Akar & Kelly Clifton & Sean Doherty, 2011. "Discretionary activity location choice: in-home or out-of-home?," Transportation, Springer, vol. 38(1), pages 101-122, January.
    • Handle: RePEc:kap:transp:v:38:y:2011:i:1:p:101-122
    DOI: 10.1007/s11116-010-9293-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11116-010-9293-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-010-9293-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chandra Bhat & Rajul Misra, 1999. "Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends," Transportation, Springer, vol. 26(2), pages 193-229, May.
    2. Roorda, Matthew J. & Miller, Eric J. & Habib, Khandker M.N., 2008. "Validation of TASHA: A 24-h activity scheduling microsimulation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 360-375, February.
    3. Golob, Thomas F. & McNally, Michael G., 1997. "A Model of Activity Participation Between Household Heads," University of California Transportation Center, Working Papers qt4dj8f1gg, University of California Transportation Center.
    4. Bastin, Fabian & Cirillo, Cinzia & Toint, Philippe L., 2006. "Application of an adaptive Monte Carlo algorithm to mixed logit estimation," Transportation Research Part B: Methodological, Elsevier, vol. 40(7), pages 577-593, August.
    5. Lothlorien Redmond & Patricia Mokhtarian, 2001. "The positive utility of the commute: modeling ideal commute time and relative desired commute amount," Transportation, Springer, vol. 28(2), pages 179-205, May.
    6. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    7. Bhat, Chandra R. & Gossen, Rachel, 2004. "A mixed multinomial logit model analysis of weekend recreational episode type choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 767-787, November.
    8. Golob, Thomas F. & McNally, Michael G., 1997. "A model of activity participation and travel interactions between household heads," Transportation Research Part B: Methodological, Elsevier, vol. 31(3), pages 177-194, June.
    9. Cirillo, C. & Axhausen, K.W., 2006. "Evidence on the distribution of values of travel time savings from a six-week diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 444-457, June.
    10. Bowman, J. L. & Ben-Akiva, M. E., 2001. "Activity-based disaggregate travel demand model system with activity schedules," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 1-28, January.
    11. Lu, Xuedong & Pas, Eric I., 1999. "Socio-demographics, activity participation and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(1), pages 1-18, January.
    12. Sean Doherty, 2006. "Should we abandon activity type analysis? Redefining activities by their salient attributes," Transportation, Springer, vol. 33(6), pages 517-536, November.
    13. Bhat, Chandra & Lockwood, Allison, 2004. "On distinguishing between physically active and physically passive episodes and between travel and activity episodes: an analysis of weekend recreational participation in the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(8), pages 573-592, October.
    14. Toshiyuki Yamamoto & Ryuichi Kitamura, 1999. "An analysis of time allocation to in-home and out-of-home discretionary activities across working days and non- working days," Transportation, Springer, vol. 26(2), pages 231-250, May.
    15. Chandra Bhat & Frank Koppelman, 1999. "A retrospective and prospective survey of time-use research," Transportation, Springer, vol. 26(2), pages 119-139, May.
    16. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan & Sen, Sudeshna, 2006. "A joint model for the perfect and imperfect substitute goods case: Application to activity time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 827-850, December.
    17. Patricia Mokhtarian & Ilan Salomon & Susan Handy, 2006. "The Impacts of Ict on leisure Activities and Travel: A Conceptual Exploration," Transportation, Springer, vol. 33(3), pages 263-289, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Akar, Gulsah & Clifton, Kelly J. & Doherty, Sean T., 2012. "Redefining activity types: Who participates in which leisure activity?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1194-1204.
    2. Ruiz, Tomás & Habib, Khandker Nurul, 2016. "Scheduling decision styles on leisure and social activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 304-317.
    3. Mujahid Ali & Dimas Bayu Endrayana Dharmowijoyo & Afonso R. G. de Azevedo & Roman Fediuk & Habil Ahmad & Bashir Salah, 2021. "Time-Use and Spatio-Temporal Variables Influence on Physical Activity Intensity, Physical and Social Health of Travelers," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    4. Ozbilen, Basar & Wang, Kailai & Akar, Gulsah, 2021. "Revisiting the impacts of virtual mobility on travel behavior: An exploration of daily travel time expenditures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 49-62.
    5. Lin, Tao & Wang, Donggen, 2015. "Tradeoffs between in- and out-of-residential neighborhood locations for discretionary activities and time use: do social contexts matter?," Journal of Transport Geography, Elsevier, vol. 47(C), pages 119-127.
    6. Longden, Thomas, 2016. "The Regularity and Irregularity of Travel: an Analysis of the Consistency of Travel Times Associated with Subsistence, Maintenance and Discretionary Activities," ETA: Economic Theory and Applications 243150, Fondazione Eni Enrico Mattei (FEEM).
    7. Manoj, M. & Verma, Ashish, 2015. "Activity–travel behaviour of non-workers from Bangalore City in India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 400-424.
    8. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders & Adiredja, Lili Somantri, 2015. "Collecting a multi-dimensional three-weeks household time-use and activity diary in the Bandung Metropolitan Area, Indonesia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 231-246.
    9. Han, Chenglin & Luo, Lichen & Parady, Giancarlos & Takami, Kiyoshi & Chikaraishi, Makoto & Harata, Noboru, 2023. "Modeling joint eating-out destination choices incorporating group-level impedance: A case study of the Greater Tokyo Area," Journal of Transport Geography, Elsevier, vol. 111(C).
    10. Langerudi, Mehran Fasihozaman & Javanmardi, Mahmoud & Shabanpour, Ramin & Rashidi, Taha Hossein & Mohammadian, Abolfazl, 2017. "Incorporating in-home activities in ADAPTS activity-based framework: A sequential conditional probability approach," Journal of Transport Geography, Elsevier, vol. 61(C), pages 48-60.
    11. Linda Nijland & Theo Arentze & Harry Timmermans, 2013. "Representing and estimating interactions between activities in a need-based model of activity generation," Transportation, Springer, vol. 40(2), pages 413-430, February.
    12. Gerike, Regine & Gehlert, Tina & Leisch, Friedrich, 2015. "Time use in travel surveys and time use surveys – Two sides of the same coin?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 4-24.
    13. Dimas B. E. Dharmowijoyo & Yusak O. Susilo & Anders Karlström, 2018. "On complexity and variability of individuals’ discretionary activities," Transportation, Springer, vol. 45(1), pages 177-204, January.
    14. Han Dong & Cinzia Cirillo & Marco Diana, 2018. "Activity involvement and time spent on computers for leisure: an econometric analysis on the American Time Use Survey dataset," Transportation, Springer, vol. 45(2), pages 429-449, March.
    15. Arif Budiarto & Nur Shalin Abdi & Dimas Bayu Endrayana Dharmowijoyo & Nursitihazlin Ahmad Termida & Basil David Daniel & Nur Sabahiah Abdul Sukor & Liza Evianti Tanjung, 2022. "Effects of Changes in Discretionary Trips and Online Activities on Social and Mental Health during Two Different Phases of the COVID-19 Pandemic in Malaysia," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    16. Longden, Thomas, 2016. "The Regularity and Irregularity of Travel: an Analysis of the Consistency of Travel Times Associated with Subsistence, Maintenance and Discretionary Activities," ET: Economic Theory 243150, Fondazione Eni Enrico Mattei (FEEM).
    17. Morris, Eric A. & Speroni, Samuel & Taylor, Brian D., 2023. "Going nowhere fast: Might changing activity patterns help explain falling travel?," Journal of Transport Geography, Elsevier, vol. 110(C).
    18. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders, 2017. "Analysing the complexity of day-to-day individual activity-travel patterns using a multidimensional sequence alignment model: A case study in the Bandung Metropolitan Area, Indonesia," Journal of Transport Geography, Elsevier, vol. 64(C), pages 1-12.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Akar, Gulsah & Clifton, Kelly J. & Doherty, Sean T., 2012. "Redefining activity types: Who participates in which leisure activity?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1194-1204.
    2. Ruiz, Tomás & Habib, Khandker Nurul, 2016. "Scheduling decision styles on leisure and social activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 304-317.
    3. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    4. Iragaël Joly & Stéphanie Vincent-Geslin, 2016. "Intensive travel time: an obligation or a choice?," Post-Print halshs-01309467, HAL.
    5. Pinjari, Abdul Rawoof & Bhat, Chandra R. & Hensher, David A., 2009. "Residential self-selection effects in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 729-748, August.
    6. Kang, Hejun & Scott, Darren M., 2010. "Exploring day-to-day variability in time use for household members," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 609-619, October.
    7. Chen, Cynthia & Mokhtarian, Patricia L, 2005. "An Exploratory Study Using an AIDS Model For Tradeoffs Between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel," Institute of Transportation Studies, Working Paper Series qt2wr907nc, Institute of Transportation Studies, UC Davis.
    8. Lin, Tao & Wang, Donggen, 2015. "Tradeoffs between in- and out-of-residential neighborhood locations for discretionary activities and time use: do social contexts matter?," Journal of Transport Geography, Elsevier, vol. 47(C), pages 119-127.
    9. Lee, Yuhwa & Hickman, Mark & Washington, Simon, 2007. "Household type and structure, time-use pattern, and trip-chaining behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1004-1020, December.
    10. Han Dong & Cinzia Cirillo & Marco Diana, 2018. "Activity involvement and time spent on computers for leisure: an econometric analysis on the American Time Use Survey dataset," Transportation, Springer, vol. 45(2), pages 429-449, March.
    11. Mokhtarian, Patricia L. & Chen, Cynthia, 2004. "TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 643-675.
    12. Iragaël Joly & Karl Littlejohn & Vincent Kaufmann, 2006. "La croissance des budgets-temps de transport en question : nouvelles approches," Post-Print halshs-00174992, HAL.
    13. Ipek Sener & Chandra Bhat, 2007. "An analysis of the social context of children’s weekend discretionary activity participation," Transportation, Springer, vol. 34(6), pages 697-721, November.
    14. Pellegrini, Andrea & Pinjari, Abdul Rawoof & Maggi, Rico, 2021. "A multiple discrete continuous model of time use that accommodates non-additively separable utility functions along with time and monetary budget constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 37-53.
    15. Marcela Munizaga & Sergio Jara-Díaz & Paulina Greeven & Chandra Bhat, 2008. "Econometric Calibration of the Joint Time Assignment--Mode Choice Model," Transportation Science, INFORMS, vol. 42(2), pages 208-219, May.
    16. Joly, I., 2011. "Test of the relation between travel and activities times : different representations of a demand derived from activity participation," Working Papers 201103, Grenoble Applied Economics Laboratory (GAEL).
    17. Jonathan Stiles & Michael J. Smart, 2021. "Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers," Transportation, Springer, vol. 48(5), pages 2461-2491, October.
    18. Christa Hubers & Tim Schwanen & Martin Dijst, 2008. "Ict And Temporal Fragmentation Of Activities: An Analytical Framework And Initial Empirical Findings," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(5), pages 528-546, December.
    19. Italo Meloni & Erika Spissu & Massimiliano Bez, 2007. "A Model of the Dynamic Process of Time Allocation to Discretionary Activities," Transportation Science, INFORMS, vol. 41(1), pages 15-28, February.
    20. Linda Nijland & Theo Arentze & Harry Timmermans, 2013. "Representing and estimating interactions between activities in a need-based model of activity generation," Transportation, Springer, vol. 40(2), pages 413-430, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:38:y:2011:i:1:p:101-122. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.