IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v41y2014i5p995-1011.html
   My bibliography  Save this article

Repetitions in individual daily activity–travel–location patterns: a study using the Herfindahl–Hirschman Index

Author

Listed:
  • Yusak Susilo
  • Kay Axhausen

Abstract

Using Herfindahl–Hirschman Index and the Mobidrive and Thurgau six-week travel diary datasets this paper examines the degree of repetition of individuals’ choices of their daily activity–travel–location combinations. The results show that the repetitiveness of individual activity–travel–mode–location combinations is highly influenced by the individuals’ out-of-home commitments, the intra-household conditions and the availability and the accessibility of the activity locations. Different types of activity have different pattern of repetition. The level of repetition of individual’s daily activity–travel pattern is less correlated to travel mode choice, but more to the individuals’ commitments and obligations. The repetitiveness of mode choices is more related to the conditions or the accessibilities of the activity location, but not directly to the activity itself. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Yusak Susilo & Kay Axhausen, 2014. "Repetitions in individual daily activity–travel–location patterns: a study using the Herfindahl–Hirschman Index," Transportation, Springer, vol. 41(5), pages 995-1011, September.
    • Handle: RePEc:kap:transp:v:41:y:2014:i:5:p:995-1011
    DOI: 10.1007/s11116-014-9519-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11116-014-9519-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-014-9519-4?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. Kitamura, Ryuichi & Yamamoto, Toshiyuki & Susilo, Yusak O. & Axhausen, Kay W., 2006. "How routine is a routine? An analysis of the day-to-day variability in prism vertex location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 259-279, March.
    2. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
    3. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    4. Lijesen, Mark G., 2004. "Adjusting the Herfindahl index for close substitutes: an application to pricing in civil aviation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(2), pages 123-134, March.
    5. John Kwoka, 1998. "Herfindahl Concentration with an Import Fringe and with Supply Constraints," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 13(4), pages 401-407, August.
    6. K. W. Axhausen & M. Löchl & R. Schlich & T. Buhl & P. Widmer, 2007. "Fatigue in long-duration travel diaries," Transportation, Springer, vol. 34(2), pages 143-160, March.
    7. Lijesen, Mark G. & Nijkamp, Peter & Rietveld, Piet, 2002. "Measuring competition in civil aviation," Journal of Air Transport Management, Elsevier, vol. 8(3), pages 189-197.
    8. W C Wilson, 1998. "Activity Pattern Analysis by Means of Sequence-Alignment Methods," Environment and Planning A, , vol. 30(6), pages 1017-1038, June.
    9. Robert Schlich & Kay Axhausen, 2003. "Habitual travel behaviour: Evidence from a six-week travel diary," Transportation, Springer, vol. 30(1), pages 13-36, February.
    10. 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.
    11. Ron Buliung & Matthew Roorda & Tarmo Remmel, 2008. "Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS)," Transportation, Springer, vol. 35(6), pages 697-722, November.
    12. 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.
    13. Susilo, Yusak O. & Kitamura, Ryuichi, 2008. "Structural changes in commuters' daily travel: The case of auto and transit commuters in the Osaka metropolitan area of Japan, 1980-2000," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 95-115, January.
    14. R. Cesari, 1994. "A generalized measure of competition," Working Papers 204, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. 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.
    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. Xiu Chen & Fuhai Hong & Xiaojian Zhao, 2020. "Concentration and variability of forecasts in artificial investment games: an online experiment on WeChat," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 815-847, September.
    2. Mujahid Ali & Elżbieta Macioszek & Dimas Bayu Endrayana Dharmowijoyo, 2023. "Influence of Activity-Travel Participation, Travel Mode Choice, and Multitasking Activities on Subjective Well-Being Using R," Sustainability, MDPI, vol. 15(23), pages 1-22, November.
    3. Xiu Chen & Fuhai Hong & Xiaojian Zhao, 2016. "Concentration and Unpredictability of Forecasts in Artificial Investment Games," Economic Growth Centre Working Paper Series 1608, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    4. Xia Zhao & Mengying Cui & David Levinson, 2023. "Exploring temporal variability in travel patterns on public transit using big smart card data," Environment and Planning B, , vol. 50(1), pages 198-217, January.
    5. Liu, Chengxi & Susilo, Yusak O. & Dharmowijoyo, Dimas B.E., 2018. "Investigating intra-household interactions between individuals' time and space constraints," Journal of Transport Geography, Elsevier, vol. 73(C), pages 108-119.
    6. Pizzol, Bruna & Strambi, Orlando & Giannotti, Mariana & Arbex, Renato Oliveira & Alves, Bianca Bianchi, 2021. "Activity behavior of residents of Paraisópolis slum: Analysis of multiday activity patterns using data collected with smartphones," Journal of choice modelling, Elsevier, vol. 39(C).
    7. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    8. Klinger, Thomas, 2017. "Moving from monomodality to multimodality? Changes in mode choice of new residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 221-237.
    9. Rui Qu & Zaewoong Rhee & Seung-Jong Bae & Sang-Hyun Lee, 2022. "Analysis of Industrial Diversification Level of Economic Development in Rural Areas Using Herfindahl Index and Two-Step Clustering," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    10. Eisenmann, Christine & Buehler, Ralph, 2018. "Are cars used differently in Germany than in California? Findings from annual car-use profiles," Journal of Transport Geography, Elsevier, vol. 69(C), pages 171-180.
    11. Oscar Egu & Patrick Bonnel, 2020. "Investigating day-to-day variability of transit usage on a multimonth scale with smart card data. A case study in Lyon," Post-Print halshs-03148937, HAL.
    12. Oskar Blom Västberg & Anders Karlström & Daniel Jonsson & Marcus Sundberg, 2020. "A Dynamic Discrete Choice Activity-Based Travel Demand Model," Transportation Science, INFORMS, vol. 54(1), pages 21-41, January.
    13. Scheiner, Joachim & Chatterjee, Kiron & Heinen, Eva, 2016. "Key events and multimodality: A life course approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 148-165.
    14. Klepikov, Vladimir Pavlovich & Klepikov, Vladimir Vladimirovich, 2020. "Quantitative approach to estimating crude oil supply in Southern Europe," Resources Policy, Elsevier, vol. 69(C).
    15. Chunguang Liu & Xinyu Zuo & Xiaoning Gu & Mengru Shao & Chao Chen, 2023. "Activity Duration under the COVID-19 Pandemic: A Comparative Analysis among Different Urbanized Areas Using a Hazard-Based Duration Model," Sustainability, MDPI, vol. 15(12), pages 1-28, June.
    16. WooKeol Cho & Jinhee Kim & Jin-Hyuk Chung, 2023. "A Need-Based Approach for Modeling Recurrent Discretionary Activity Participation Patterns for Travel Demand Analysis," Sustainability, MDPI, vol. 15(21), pages 1-20, October.
    17. 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. Dimas B. E. Dharmowijoyo & Yusak O. Susilo & Anders Karlström, 2016. "Day-to-day variability in travellers’ activity-travel patterns in the Jakarta metropolitan area," Transportation, Springer, vol. 43(4), pages 601-621, July.
    2. Charles Raux & Tai-Yu Ma & Eric Cornelis, 2016. "Variability in daily activity-travel patterns: the case of a one-week travel diary," Post-Print halshs-01389479, HAL.
    3. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    4. Charles Raux & Tai-Yu Ma & Eric Cornelis, 2011. "Variability versus stability in daily travel and activity behaviour. The case of a one week travel diary," Working Papers halshs-00612610, HAL.
    5. 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.
    6. 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.
    7. 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.
    8. Crawford, F. & Watling, D.P. & Connors, R.D., 2018. "Identifying road user classes based on repeated trip behaviour using Bluetooth data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 55-74.
    9. Minnen, Joeri & Glorieux, Ignace & van Tienoven, Theun Pieter, 2015. "Transportation habits: Evidence from time diary data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 25-37.
    10. Neutens, Tijs & Delafontaine, Matthias & Scott, Darren M. & De Maeyer, Philippe, 2012. "An analysis of day-to-day variations in individual space–time accessibility," Journal of Transport Geography, Elsevier, vol. 23(C), pages 81-91.
    11. Raux, Charles & Zoubir, Ayman & Geyik, Mirkan, 2017. "Who are bike sharing schemes members and do they travel differently? The case of Lyon’s “Velo’v” scheme," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 350-363.
    12. Deschaintres, Elodie & Morency, Catherine & Trépanier, Martin, 2022. "Cross-analysis of the variability of travel behaviors using one-day trip diaries and longitudinal data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 228-246.
    13. Huang, Yuqiao & Gao, Linjie & Ni, Anning & Liu, Xiaoning, 2021. "Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 93(C).
    14. Shen, Yue & Kwan, Mei-Po & Chai, Yanwei, 2013. "Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China," Journal of Transport Geography, Elsevier, vol. 32(C), pages 1-11.
    15. Benjamin Motte-Baumvol & Olivier Bonin, 2018. "The spatial dimensions of immobility in France," Transportation, Springer, vol. 45(5), pages 1231-1247, September.
    16. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2015. "Understanding time use: Daily or weekly data?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 38-57.
    17. Morency, Catherine & Trépanier, Martin & Agard, Bruno, 2007. "Measuring transit use variability with smart-card data," Transport Policy, Elsevier, vol. 14(3), pages 193-203, May.
    18. Dimas B E Dharmowijoyo & Yusak O Susilo & Anders Karlström, 2014. "Day-to-Day Interpersonal and Intrapersonal Variability of Individuals' Activity Spaces in a Developing Country," Environment and Planning B, , vol. 41(6), pages 1063-1076, December.
    19. Lijun Sun & Xinyu Chen & Zhaocheng He & Luis F. Miranda-Moreno, 2023. "Routine Pattern Discovery and Anomaly Detection in Individual Travel Behavior," Networks and Spatial Economics, Springer, vol. 23(2), pages 407-428, June.
    20. Nursitihazlin Ahmad Termida & Yusak O. Susilo & Joel P. Franklin, 2016. "Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year," Transportation, Springer, vol. 43(6), pages 997-1021, November.

    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:41:y:2014:i:5:p:995-1011. 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.