Housing Preferences and Residential Location Choice of Knowledge Workers in the Tel-Aviv Metropolitan Region

Edward Bendit and Amnon Frenkel

Abstract

The rise of the “Creative Class” in the modern knowledge society and the economic, social, and spatial changes accompanying the transition to a knowledge-based economy in developed countries are reflected in the growing demand for skilled knowledge-workers and in the great effect of these phenomena on the residential choice decisions of households. The research focuses on examining the main underlying residential location determinants of knowledge-workers and their housing preferences at the intra-metropolitan level. The importance of the current research stems from the fact that housing, viewed as a key enabler for attracting and retaining creative knowledge-workers, plays a major role in promoting knowledge-based urban development (KBUD).

The analytical framework used for examining the research hypotheses consists of a variety of analytical tools and statistical techniques, mainly explanatory factor analysis, cluster analysis, and discrete choice models. The population of knowledge-workers residing and working in the Tel-Aviv Metropolitan region was chosen as a case study for the present empirical research. The target population consists of knowledge-workers who work in the high-tech sector and knowledge-workers employed in the financial and business services sector.

A web-based revealed-preferences survey (by means of a custom-designed questionnaire) was designed for data collection. The survey yielded 1,181 responses of knowledge-workers. The retrieved data, analyzed by means of self-organizing maps (SOM), confirmed the hypothesis about the lifestyle heterogeneity of knowledge-workers. Five clusters of knowledge-workers were yielded that significantly differed in terms of holistic lifestyle, encompassing life-cycle stage, work role and leisure-activity pattern, under-mobility, and budget constraints. The five clusters identified were entitled: “nest-builders,” “bon-vivants,” “careerists,” “entrepreneurs,” and “laid-back.” The results indicate that each cluster of knowledge-workers has significantly different residential preferences in terms of residential location, building type, home ownership, and dwelling size.

The empirical results of the location models indicate that knowledge-workers are mainly attracted to the following: dense urban environments and large cities; an abundance of cultural and educational facilities; reasonable housing prices that allow homeownership and large dwellings; ease of access to their workplace and to the spouse’s workplace; accessibility of the metropolitan core; municipalities with a high socio-economic status; and communities that are compatible with their activity pattern. Therefore, municipalities that wish to attract and retain knowledge-workers need to invest in culture and education infrastructures; maintain reasonably priced housing markets and provide either affordable high-quality housing or housing (location) incentives; guarantee knowledge-job opportunities or good transportation to knowledge-based employment centers.