TY - JOUR
T1 - Consideration of Proximity in Selection of Residential Location by Science and Technology Workers
T2 - Case Study of Hsinchu, Taiwan
AU - Chang, Su Li
AU - Lee, Yao Hsien
AU - Lin, Chien Yuan
AU - Hu, Tai Shan
N1 - Funding Information:
The authors would like to thank the National Science Council of Taiwan for financially supporting this research under Contract No. NSC 95-2221-E-216-053. The authors thank two anonymous referees of this journal for helpful comments and suggestions.
PY - 2010/8
Y1 - 2010/8
N2 - The Hsinchu district has been one of the most rapidly developing areas of Taiwan during the past decade. The rise of the Hsinchu Science-based Industrial Park (HSIP) has significantly influenced population growth and living environment in the Hsinchu district. To obtain new knowledge via knowledge proliferation activities that occur following knowledge innovation, science and technology workers have been established based on the proximity of informal social network interactions and the existence of a common culture. Based on social, identified and cognitive proximities, this investigation examines whether science and technology workers directly assess their living environment while considering housing purchases, seeking information and making residential location decisions. This investigation employs regression analysis to examine the correlation between individual proximity factors and spatial proximity, based on the hypothesis that individual proximity influences residential location choices of science and technology communities. The study results indicate that the housing choice behaviours of the science and technology community follow two proximity paths, that is, internal and external proximity factors. Consequently, the pull created by individual proximity has slowed the spatial expansion of the Hsinchu region.
AB - The Hsinchu district has been one of the most rapidly developing areas of Taiwan during the past decade. The rise of the Hsinchu Science-based Industrial Park (HSIP) has significantly influenced population growth and living environment in the Hsinchu district. To obtain new knowledge via knowledge proliferation activities that occur following knowledge innovation, science and technology workers have been established based on the proximity of informal social network interactions and the existence of a common culture. Based on social, identified and cognitive proximities, this investigation examines whether science and technology workers directly assess their living environment while considering housing purchases, seeking information and making residential location decisions. This investigation employs regression analysis to examine the correlation between individual proximity factors and spatial proximity, based on the hypothesis that individual proximity influences residential location choices of science and technology communities. The study results indicate that the housing choice behaviours of the science and technology community follow two proximity paths, that is, internal and external proximity factors. Consequently, the pull created by individual proximity has slowed the spatial expansion of the Hsinchu region.
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U2 - 10.1080/09654313.2010.490651
DO - 10.1080/09654313.2010.490651
M3 - Article
AN - SCOPUS:77954643667
SN - 0965-4313
VL - 18
SP - 1317
EP - 1342
JO - European Planning Studies
JF - European Planning Studies
IS - 8
ER -