Focusing on Connected Personal Leisure Networks
Selected Results from a Snowball Sample
Bibliographic Data
| ID | 4142788 |
|---|---|
| Authors | Matthias Kowald (0000-0002-2836-0476, Institute for Transport Planning and Systems (IVT), ETH Zurich, Wolfgang-Pauli-Strasse 15, HIL F 51.2, 8093 Zurich, Switzerland, corresponding author), Kay W Axhausen (ETH Zurich, corresponding author), Kate Axhausen (0000-0003-3331-1318, Institute for Transport Planning and Systems (IVT), ETH Zurich, Wolfgang-Pauli-Strasse 15, HIL F 51.2, 8093 Zurich, Switzerland) |
| Year | 2012 |
| Volume | 44 |
| Issue | 5 |
| Pages | 1085-1100 |
| Publication date | 2012-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a43458 |
| OpenAlex | W2053276057 |
| Language | EN |
| Citations received | 23 |
| References cited | 34 |
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
Business · Data science · Population · Sample size determination · Sampling bias · Snowball sampling · Sociology · Statistics · Survey methodology · Computer Science · Human Mobility and Location-Based Analysis · Mathematics · Psychology · Transportation Planning and Optimization · Urban Transport and Accessibility · Marketing
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| Unique citing works | 23 |
|---|---|
| Citations per year | 1,64 |
| Citation span | 2012 - 2026 (15) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 21 |