IDEAS home Printed from https://ideas.repec.org/a/pio/envira/v44y2012i5p1085-1100.html
   My bibliography  Save this article

Focusing on connected personal leisure networks: selected results from a snowball sample

Author

Listed:
  • Matthias Kowald
  • Kay W Axhausen

Abstract

Abstract. Explanations of leisure travel must take the influence of participants’ social contacts into account. To analyze this influence, transport planning uses social network analysis methods. While most past projects have focused on isolated network components, this paper presents a study collecting data on connected personal networks by taking a snowball sample. The paper explains difficulties for transport planning in approaching and explaining leisure travel and then introduces both the survey methodology and the instrument in detail. Advantages and disadvantages of snowball sampling are addressed, and the question why this strategy is important for approaching leisure travel, followed by experiences from the field about response rate, the fit between survey and target population, and sources of bias are given. Descriptive analyses highlight the potential of the data to produce new empirical insights. Keywords: connected personal networks, snowball sample, survey methodology

Suggested Citation

  • Matthias Kowald & Kay W Axhausen, 2012. "Focusing on connected personal leisure networks: selected results from a snowball sample," Environment and Planning A, Pion Ltd, London, vol. 44(5), pages 1085-1100, May.
  • Handle: RePEc:pio:envira:v:44:y:2012:i:5:p:1085-1100
    as

    Download full text from publisher

    File URL: http://www.envplan.com/abstract.cgi?id=a43458
    File Function: abstract
    Download Restriction: Fulltext access restricted to subscribers, see http://www.envplan.co.uk/A.html for details

    File URL: http://www.envplan.com/epa/fulltext/a44/a43458.pdf
    File Function: main text
    Download Restriction: Fulltext access restricted to subscribers, see http://www.envplan.co.uk/A.html for details

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

    Citations

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


    Cited by:

    1. repec:eee:transa:v:106:y:2017:i:c:p:374-395 is not listed on IDEAS
    2. Lin, Tao & Wang, Donggen, 2014. "Social networks and joint/solo activity–travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 18-31.
    3. Frank Goetzke & Regine Gerike & Antonio Páez & Elenna Dugundji, 2015. "Social interactions in transportation: analyzing groups and spatial networks," Transportation, Springer, vol. 42(5), pages 723-731, September.
    4. Xiao, Yu & Lo, Hong K., 2016. "Day-to-day departure time modeling under social network influence," Transportation Research Part B: Methodological, Elsevier, vol. 92(PA), pages 54-72.

    More about this item

    Statistics

    Access and download statistics

    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:pio:envira:v:44:y:2012:i:5:p:1085-1100. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond). General contact details of provider: http://www.pion.co.uk .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.