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Determining strategies to increase response rates in transport surveys of small shop-based businesses

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  • Claudine J. Moutou
  • Stephen P. Greaves

Abstract

Increasing representation of small business perspectives in policy research would benefit from identifying strategies to increase response rates. Despite the significance of the issue, there is inconsistent reporting amongst small business research about issues such as sampling, recruitment and survey design. Reporting on such issues may help address the under-representation of small business respondents and help reduce wasting research resources on less effective strategies. For policy matters that have the potential to disrupt how small business owners run their business, this is of particular importance. This paper reports on a survey of small businesses about changes to the transport accessibility features of a town centre that have the potential to affect the supply of car parking. Based on a review of the available literature, strategies were adopted to reduce respondent burden and maximise engagement. The paper presents an analysis of recruitment approaches in the first wave of the survey and demonstrates how the refinements to the recruitment approach were successful in achieving an increase in response rate from 40% to 47%.

Suggested Citation

  • Claudine J. Moutou & Stephen P. Greaves, 2014. "Determining strategies to increase response rates in transport surveys of small shop-based businesses," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(7), pages 598-622, October.
    • Handle: RePEc:taf:transp:v:37:y:2014:i:7:p:598-622
    DOI: 10.1080/03081060.2014.935568
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    Cited by:

    1. Pani, Agnivesh & Sahu, Prasanta K., 2022. "Modelling non-response in establishment-based freight surveys: A sampling tool for statewide freight data collection in middle-income countries," Transport Policy, Elsevier, vol. 124(C), pages 128-138.
    2. Yang, Zhenshan & Jia, Peng & Liu, Weidong & Yin, Hongchun, 2017. "Car ownership and urban development in Chinese cities: A panel data analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 127-134.

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