Residential location choice of knowledge-workers in a "startup metropolis": the role of amenities, workplace and lifestyle

Edward Bendit, Amnon Frenkel, Sigal Kaplan

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    Knowledge cities (KC) and knowledge-based urban development (KBUD) are rapidly gaining momentum due their potential for inducing economic growth and regional competitiveness. The current study focuses on investigating the location preferences of knowledge-workers at the intra-metropolitan level, as an essential building block in the formulation of successful KBUD policies. Specifically, this study applies multinomial and nested logit models to investigate the impact of location amenities, accessibility, housing preferences and leisure-activity pattern on knowledge-workers’ residential location choice. The models are applied to 833 actual housing choices collected by means of a web-based survey. Survey respondents consist of knowledge-workers in high-technology and financial business services, who work and reside in Tel-Aviv metropolitan region, also known as the ‘the startup metropolis’. The results reveal that knowledge-workers (i) prefer dense urban environments and large cities, (ii) reside in well-established knowledge communities (iii) seek abundance cultural and education opportunities, (iv) seek affordable housing, (v) reside in locations that are compatible with their housing preferences, workplace location and leisure activity pattern.
    Original languageEnglish
    Title of host publication51st European Congress of the Regional Science Association International
    Publication date2011
    Publication statusPublished - 2011
    Event51st ERSA Congress: New Challenges for European Regions and Urban Areas in a Globalised World - Barcelona, Spain
    Duration: 30 Aug 20112 Sep 2011
    Conference number: 51


    Conference51st ERSA Congress
    Internet address


    • Knowledge cities
    • Residential choice
    • KBUD
    • Location model
    • Knowledge-workers


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