Volume / Issue
Journal of architecture and plannin Volume11,1
Article The Relationship of Price Difference with Pre-sale and Existing House-take Taipei City and Taipei Co
Author Ji-Homg Lee, Chung-Hsien Yang

Pre-sale and existing house are major submarket in Taiwan housing market. Because the pre-sale house is possessed the attribute of futures, the relationship of price difference in pre-sale and existing house is concerned with real estate participators. It is helpful to understand the substitute of pre-sale and existing house that observe the basis and its change, and we also discovery the attributes within submarket. For the past study of basis, they didn’t think heterogeneous between local submarket so that there is little knowledge about basis and its market meanings in local submarket. This study build Hedonic price model to estimate basis of Taipei city and Taipei county from 1996 to 1998 using the list prices of pre-sale house from Cathy co. and transaction prices of existing house from Gigahouse co..

The result is showed that the price factors of building area, location, total floor, building age are significantly in Taipei city and Taipei county. The basis are 105.7K/pin, 118.2K/pin and 118.4K/pin from 1996 to 1998 in Taipei city. And we also get 27.2K/pin, 14.2K/pin and 21K/pin from the same period in Taipei county. For the ratio of price difference, we get 71%, 68% and 68% in Taipei city, and 84%, 92% and 87% in Taipei county. We think that the relationship of Taipei city is large than Taipei county, and this issue is very important in local submarket.

Keywords pre-sale house, existing house, basis
Pages pp. 1-14

Chang, C. & Ward, C., 1993 “Forward Pricing and the Housing Market: the Pre-sales Housing System in Taiwan”, Journal of Housing Research, 10: 217-227.

Chang, C. E., Yang, T. H., and Hung, Y. J., 2008, “The Development, Assessment, and Integration of Existing and Presale Housing Price Indexes - The Case of Taipei City”, Residential Technology, 17 (2): 13-35.

Chang, L. C., 1994, “Applying the Theoretical Relationship Between Forward and Spotrice to the Pre-Sale and Existing Housing Markets”, Residential Technology, 2: 67-85.

Chen, H. Y., 2003, Using System Dynamics to Simulate the Urban Housing Price in Taipei City, Master thesis, Institute of Urban Planning, National Cheng Kung University.

Chen, T. T., 1993, The study of relation between Consumer Confidence Index and Real Estate Industry, Master thesis, Department of Business Administration, National Cheng Chi University.

Hua, C. C., and Chang, C.E., 1999, “The Price-Quantity Relationship between Existing and Pre-sale Housing Markets: A Modification of the Housing Stock-Flow Model”, Proceedings of the National Science Council: Part C: Humanities and Social Sciences, 9 (3): 494-504.

Hwang, D.Y., 1994 “Valuation of the pre-sales Housing in Taiwan Housing Markets”,The second session of the thesis seminar of the Chinese Finance Association」,Chung-Hua Institution for Economic ResearchTaipei302-330

Li, H. C., Chang, C. E., and Hua, C. C., 2006, “The Relationship Between Floor Area and Unit Price Across Different Residential Types in Taipei Metropolitan Area”, Journal of Taiwan Land Research, 9 (1):63-87.

Lin, C. C., 1998, “Market Efficiency Test of Pre-Sales and Existing Houses on the Taiwan Market”, Management Technology, 15 (4): 643-664.

Lin, C. C., Yang, T. H., and Chang, C. E., 1996, “A Study of the Residential Price Index - The Example of Taipei City”, Residential Technology, 4:1-30.

Lin, C. H., 1991, A Study of Market Pricing and Purchasing Behaviors of Houses in Taipei City, Master thesis, Institute of Business Administration, National Chiao Tung University.

Lin, S. C., 2004, “The Marginal Willingness-to-pay of Star Public Elementary and Junior High School Districts in Taipei City”, Residential Technology, 13 (1): 15-34.

Lin, T. C., and Lin, S. C., 2010, “The Establishment of Housing Price Indices in Taiwan”, a Publication in The 19th Annual Meeting and Symposium of the R.O.C. Housing Society, Kinmen: Proceedings of the National Kinmen Institute of Technology, 11-32.

Ministry of the Interior, 2005, Real Estate Cycle Indicators, Taipei: Architecture and Building Research Institute, Ministry of the Interior.

Peng, C. W., Chang, C. E., 2000, “The Influence of Macroeconomic Variables on Real Estate Cycles in Taiwan”, Proceedings of the National Science Council, 10 (3): 330-343.

Peng, C. W., Lin, C. C., Yang, Y. T., 2003, “An Analysis of Structural Chnages in Housing Prices: Cases of Taipei City and Taipei County”, Journal of Taiwan Land Research, 7 (2): 27-46.

Po, C. A., 1996, A Study of Pre-sale House Pricing from the Perspective of Forward Transaction Pricing Theory, Ph.D. Thesis, National Chengchi University.

Rosen, S., 1974 “Hedonic Prices and Implicit Markets:Product Different in pure Competition”, Journal of Political Economy, 82: 34-35.

Shih, K., 1992, “Real Estate Pricing in a Forward Market”, Journal of Management Science, 9 (1):31-37.

Su, H. H., and Yang, T. H., 2008, “The Rationality and the Relationship Strategies to Presale House Price”, Proceedings of the 2008 Joint Annual Urban Planning Meeting, Regional Science and Local Development Institute, Tainan: National Cheng Kung University, 23-35.

Tseng, C. Y., Chang, C. E., and Hua, C. C., 2005, “The Dynamic Relationship of Rents and Prices among Taipei Housing Spatial Submarkets”, Residential Technology, 14 (2): 27-49.

Tseng, Y. H., 2007, Inflation Hedging Characteristics of Taiwan’s Real Estate Markets, Master thesis, Department of Real Estate and Built Environment, College of Public Affairs, National Taipei University.

Tu, H. Y., 2000, The Phantom of Urban Landscaping: Reception Centers & Model Houses of the Real Estate "Pre-Sale" System in Taiwan, Master thesis, Graduate Institute of Building and Planning, National Taiwan University.

Download undefine1407081444.pdf

Journal of architecture and plannin Volume11,1
Article A Study on Service Satisfaction of Kaohsiung MRT
Author Shu-Chun Chang, Yuan-Kang Chang, Li-Hong Chang

Because of peoples’ economic need and for faster mobility, development raises up in Kaohsiung city’s public vehicles. Therefore, it’s not only of great urgency to develop public transport environment, but also to provide passengers’ need for their satisfaction through appropriate service and facilities.

This research aims to determine the perception of the passengers based on their experiences, satisfaction, convenience, and expectations from the employees’ services and the facilities of the Kaoshiung Mass Rapid Transit (KMRT). This is also to render help to KMRT operators for the improvement of their services and facilities.

The information needed in this study was obtained through literature review and questionnaire survey. The respondents are the passengers of KMRT, who were picked randomly as samples. The statistical tool used to analyze the data was SPSS software.

The result shows that the passengers are unsatisfied with KMRTs’ planning and ticketing. Now, KMRT is used mainly for leisure. It should raise the use of efficiency to reach the highest benefit of public transport system.

Keywords Kaohsiung Mass Rapid Transit, satisfaction of service quality.
Pages pp. 15-34

Bitner, M. J., Booms, B. H., and Tetreault, M. S., 1990, “The service encounter: Diagnosing favorable and unfavorable incidents”, Journal of Marketing, 48(2): 71-84.      

Cardozo, R. M., 1965, “An Experimental Study of Consumer Effort, Expectation and Satisfaction”, Journal of Marketing Research, 2(8): 244-249.

Chang, C. J., 1999, Urban Transit: Scale and Design, Taipei: San Min Book Co., Ltd.

Chang, Y. H., 1994, Urban Public Transport, Taipei: Hwa Tai Publishing Co., Ltd.

Chao, T. W., 2005, An Analysis of TRTS Passenger Responses and Satisfaction Based on the Second half of 2003, Master thesis, Department of Leisure and Recreation Management, Da-Yeh University.

Cronin, J. J. and Taylor, S. A., 1992, “Measuring Service Quality: A Reexamination and Extension”, Journal of Marketing, 56(3): 55-68.

Cronin, J. J., Brady, M. K., and Hult, G. T. M., 2000, “Assessing the Effects of Quality, Value, and Customer Satisfaction on Consumer Behavioral Intentions In Service Environments”, Journal of Retailing, 76(2): 193-218.

Crosby, L. A. and Stephens, N., 1987, “Effects of Relationship Marketing on Satisfaction, Retention and Price in the Life Insurance Industry”, Journal of Marketing Research, 24(11): 404-411.

Czepiel, J. A., Rosenberg, L. J. and Akerele, A., 1974, “Perspectives on Consumer Satisfaction”, AMA Conference Proceeding, Chicago: I.L., 119-123.

Fornell, C., 1992, “A National Customer Satisfaction Barometer: The Sewdish Experience”, Journal of Marketing, 56(3): 6-21.

Howard, J. A. and Sheth, J. N., 1969, The Theory of Buyer Behavior, New York: John Wiley and Sons.

Kotler, P., 1999, Marketing Management - An Asian Perspective. Singapore: Prentice Hall.

Li, S. M., 2007, The Study of the Relationship among Service Quality, Customer Satisfaction and Customer Loyalty of B&B in Penghu area, Master thesis, Institute of Service Management, National Penghu University Science and Technology.

Lin, C. T., 2005, A Study on the Relationship Among the Service Quality, Enterprise Image, Customer Satisfaction, and Consumer Loyalty of Banks, Master thesis, Department and Graduate Institute of Business Administration, Chaoyang University of Technology.

Lin, C. Y., 2004, Applying Linear Structural Equation Models to Study the Influence of Service Quality, Customer Satisfaction and Switch Cost on Customer Loyalty-An Empirical Study of Taiwan Railway, Master Thesis, Institute of Business Administration, National Dong Hwa University.

Lovelock, C. H., 1996, Services Marketing, New Jersey: Prentice-Hall.

Oliver, R. L., 1993, “Cognitive, Affective, and Attribute Bases of the Satisfaction Response”, Journal of Consumer Research, 9(1): 5-14.

Ostrom, A. and Lacobucci, D., 1995, “Consumer Trade-Offs and Evaluation of Services”, Journal of Marketing, 59(1): 17-30.

Parasuraman, A., Zeithaml, V. A., and Berry, L. L., 1988, “SERVQUAL: A Multiple Item Scale for Measuring Consumer Perceptions of Service Quality”, Journal of Retailing, 64(1): 13-40.

Park, J., Robertson, R., and Wu, C., 2004, “The effect of airline service quality on passengers behavioral intentions: a Korean case study”, Journal of air Transport Management, 10: 435-439.

Ruyter, K. D., Bloemer, J., and Peeters, P., 1997, “Measuring Service Quality and Service Satisfaction an Empirical Test of an Integrative Model”, Journal of  Economic Psychology, 18(4): 387-406.

Stevens, P., Knutson, B., and Patton, M., 1995, “Dineserv: A tool for measuring service quality in restaurants”, The Cornell Hotel and Restaurant Administration Quarterly, 36: 56-60.

Su, C. H., 2008, A Study of the Relationship between Passengers Perceived Service Quality and Satisfaction on the Kaohsiung Mass Rapid Transit, Master thesis, Institute of Tourism and Hospitality Management, National Kaohsiung University of Applied Sciences.

Su, H. Y., 2001, A Study of Service Quality, Customer Satisfaction, and Post-Purchasing Behavior of High –volume Mass Transit Transportation Systems in the Greater Taipei Metropolitan Area, Master thesis, Department of Shipping and Transportation Management, National Taiwan Ocean University.

Tornow, W. W., and Wiley, J. W., 1991, “Service Quality and Management Practices: A Look at Employee Attitudes, Customer Satisfaction and Bottom-Line Consequences”, Human Resource Planning, 14 (2): 105-115.

Tsaur, S., and Lin, Y., 2004, “Promoting service quality in tourist hotel: the role of HRM practices and service behavior”, Tourism Management, 25: 471-481.

Westbrook , R. A., 1981, “Intrapersonal affective influences on consumer satisfaction with products”, Journal of Consumer Research, 7: 49-54.

Yu, C. C., 2003, A Study of the Effect of Customer Satisfaction on Customer Loyalty - Passenger Transportation on Taiwan Provincial Highway 17 as an Example, Master thesis, Department of Transportation and Communication Management Science, National Cheng Kung University.

Zeithaml, V. A. and Bitner, M. J., 1996, Services Marketing, New York: McGraw-Hill.

Download undefine1407081445.pdf

Journal of architecture and plannin Volume11,1
Article A Study on the Influence Factors of the Mobility- Disadvantage Group Evacuation Decision-making in D
Author Jen-Te Pai, Jie-Ying Wu, Bing-Shu Lai, Kuan-Hua Huang

 To realize the evacuation behaviors of the mobility-disadvantage group in debris flow disasters, this study conducts questionnaire survey to understand their disaster perception and actual evacuation behaviors. Two debris flow vulnerable townships were selected as study areas including Shuili Township in Nantou County and Jianshi Township in Hsinchu County. This research finds that the most reliable source for evacuation warning is from the governmental authorities. The results of this study shows evacuation expectations have significantly differ from the actual behavior on the awareness of the benefits from evacuation drills and past disaster experience. This study also establish binary logistic regression model considering the factors of “actual evacuation”, “help from others” and “evacuation times”. The results from the models show that mobility-disadvantage group with “informed to evacuate”, “safety knowledge”, “higher income” has higher evacuate proportion. The result also show that the most valuable help for mobility-disadvantage group is providing evacuation vehicles as well as related equipments. In addition, the mobility-disadvantage group tends to choose their familiar route for evacuation which may extend the evacuation time. This study suggests that the current governmental evacuation plan should have special focus on the mobility-disadvantage group.

Keywords Debris Flow, Mobility- Disadvantage Group, Evacuation Behavior
Pages pp. 35-52

Ayis, G. and Bowling, E., 2006, “Predicting catastrophic decline in mobility among older people”, Oxford University Press on behalf of the British Geriatrics Society, 35:382-387.

Baker, E. J., 1979, “Predicting response to hurricane warnings”, Mass Emergencies, 4:9-24.

Blanchard-Boehm, R. D., 1998, “Understanding public response to increased risk from natural hazards: application of the hazards risk communication framework”, International Journal of Mass Emergencies and Disasters, 16(3):247-278.

Chen, L. C., Wu, C. Y., Liu, Y. C., and Li, Y. H., 2007, “A Study of Residential Evacuation Behavior and Decision-making in a Vulnerable Debris Flow Area: The Case of Talim”, Journal of Chinese Soil and Water Conservation, 38 (4): 325-340.

Chiang, C. S., Cheng, S. C., and Yuan, F., 2009, “Current Status and Trends of Evacuation Safety Research on the Disabled”, China Safety Science Journal, 19 (3): 161-166.

Chin, L. L., 2007, Study of Disable Groups Evacuation Decision-making behavior in Debris Flow Vulnerable Area, Master thesis, National Chengchi University, Department of Land Economics.

Clifford, R., 1958, The Rio Grande flood, Washington, DC: National Academy of Sciences-National Research Council.

Cornell LawSchool(2010).www.law.cornell.edu ,(August 9,2010).

Cutter, S. and Barnes, K., 1982, “Evacuation behavior at Three Mile Island”, Disasters, 6: 116-124.

Dow, K. and Cutter, S. L., 1998, “Crying wolf: Repeat responses to hurricane evacuation orders”, Coastal Management, 26:237-252.

Drabek, T. E. and Boggs, K., 1968, “Families in Disaster: Reactions and Relatives”, Journal of Marriage and the Family, 30(8), 443-51.

Drabek, T. E., 1969, “Social Processes in Disaster: Family Evacuation”, Social Problem, 16:336-349.

Greene, M., Perry, R.W., and Lindell, M. K., 1981, March, 1980 eruptions of Mt. St. “Helens: Citizen perceptions of volcano hazard”, Disasters, 5:49-66.

Hang, C. W., 2001, The Study Tour Report of Transportation Planning Mechanism, Taipei: Institute of Transportation, Ministry of Transportation and Communications.

http://246.swcb.gov.tw/default-1.asp, 2010, The Distribution of Debris Flows, http://246.swcb.gov.tw, (July 10,2010).

Huang, K. H., 2008, A Study of the Evacuation Patterns of Disadvantaged Groups in Areas Affected by Typhoon-Induced Debris Flow - A Case study of Shuili and Jianshi Areas, Master thesis, Department of Land Economics, National Chengchi University.

Lindell, M. and Perry, R.W., 1992, Behavioral Foundations of Community Emergency Planning, Washington, DC: Hemisphere Publishers.

Lindell, M. K. and Prater, C. S., 2005, A Hurricane Evacuation Management Decision Support System, College Station TX: Texas A&M University Hazard Reduction & Recovery Center.

Lindell, M. K., & Perry, R. W., 2004, Communicating Environmental Risk in Multiethnic Communities, Thousand Oaks, CA: Sage Publications, Inc.

Liu, Y. C., 2005, View the cooperative evacuation will of residents in Hualien potential debris flow areas from the hazard perception, Master thesis, Department of Natural Resources and Environmental Studies, National Dong Hwa University.

Mileti, D. S., & Sorenson, J. H., 1988, Planning and implementing warning systems, In M. Lystad (Ed.), Mental health response to mass emergencies, New York: Brunner/Mazel, 321-345.

Perry, R.W., 1981, Personal communication to R.W. Perry from B. Bena, Director, Cowlitz County Department of Emergency Services, Seattle, WA: Battelle Human Affairs Research Centers.

Ruback, B. R., Nooris, F. H. and Riad, J. K., 1999, “Predicting Evacuation in Two Major Disaster: Risk Perception, Social Influence, and Access to Resources”, Journal of Applied Social Psychology, 29(5):918-934.

Sorenson, J. H., 1991, “When shall we leave: Factors affecting the timing of evacuation departures”, International Journal of Mass Emergencies and Disasters, 9: 153-164.

Tierney, K. J., 2005, “Effective Strategies for Hazard Assessment and Loss Reduction: The Importance of Multidisciplinary and Interdisciplinary Approaches”, Keynote paper, Annual Conference on Hazards Mitigation Research 2005, Tainan, Taiwan, 1-20.http://citeseerx.ist.psu.edu/viewdoc/download?doi=

United States Access Board(2010).http://www.access-board.gov ,(August 9,2010).

White, G. F., 1974, “Natural hazard research concepts, methods, and policy implications”, In F. G. White (Ed.), Natural Hazard: Local, National, Global, New York: Oxford University Press, 3-16.

Wu, H. H., and Chang, Y. S., 2002, “A Study of Refuge Patterns in the 921 Earthquake - A Case Study of Residents in JhuShan Township”, The Proceedings of the sixth session of the Territorial Planning Forum, Tainan City.

Zeigler, D., and Johnson, J., 1984, ”Evacuation behavior in response to nuclear power plant accidents”, Professional Geographical, 36:207-215.

Zeigler, D., Brunn, S., and Johnson, J., 1981, ”Evacuation from a nuclear technological disaster”, Geographical Review, 71:1-16.

Download undefine1407081445_1.pdf

Journal of architecture and plannin Volume11,1
Article The Invisible Factors: Proximity Consideration for Residential Location of Science and Technology So
Author Bu-Bin Shiue, Tai-Shan Hu, Hung-Nien Hsieh, Ping-Ching Chia, Mei-Hua Lai

Based on the viewpoint of social, identified and cognitive proximity, this study will discuss whether science and technology social workers are able to evaluate their living environment directly in the process of motivating housing purchase, searching for information, and making residential location decisions when they learn about housing purchase based on informal interactions, social networking, and common learning culture.  This study uses regression analysis to explore the correlation between individual proximity factors and spatial proximity based on the hypothesis that individual proximity impacts residential location choices of science and technology social workers.  Through this analysis, the authors hope to find explanation behind the spatial development transformation of Hsinchu District.  The result of this study indicates that housing choice behaviors of science and technology social workers follow two different proximity paths.  First, internal proximity factors (social and identified proximity) show that the groups identify with knowledge networks within HSIP and the local environment, and thus conform to residential environmental behaviors.  Second, external proximity (cognitive proximity) refers to the acquisition of housing information.  Under the influence of individual proximity, social and identified proximity require agglomeration in the same geographic area.  Although external cognitive proximity does not lead directly to spatial proximity, it benefits science and technology professionals through social proximity interactions.  As a result, the pulling force created by individual proximity slowed down the spatial expansion of Hsinchu District.

Keywords Hsin-Chu Science Industrial Park, Residential Location Choice, Proximity
Pages pp. 53-76

Allen, T. J., 1977, Managing the Flow of Technology: Technology Transfer and the Dissemination of Technological Information within the R&D Organization, Cambridge, MA: MIT Press.

Amin, A. and Wilkinson F., 1999, “Learning, proximity and industrial performance: An introduction”, Cambridge Journal of Economics, 23(2): 121-125.

Antonelli, C. ,1995, The Economics of Localized Technological Change and Industrial Dynamics, Boston, MA: Kluwer Academic Publishers.

Audretsch, D. B. and M. Feldman, 1996, “R&D spillovers and the geography of innovation and production”, American Economic Review, 86(3): 630-640.

Baptista, R., 1996, “Research round up: Industrial clusters and technological innovation”, Business Strategy Review, 7(2): 59-64.

Boschma, R. A. and J. G. Lambooy, 1999, “Evolutionary economics and economic geography”, Journal of Evolutionary Economics, 9: 411-429.

Boschma, R. A., 2004, “Competitiveness of regions from an evolutionary perspective”, Regional Studies, 38(9): 1001-1014.

Boschma, R. A., 2005, “Proximity and innovation: a critical assessment”, Regional Studies, 39(1): 61-74.

Chang, S. L., 2004, “Home Abroad – A Discussion of the Asia-Pacification of Suburban Residents in the United States from the Overseas Landscape of Silicon Valley”, Landscape Architecture, 51:5-10.

Chang, Sheng-Lin, 1999, “Image is more important than experience: A case study of hi-tech home building in response to shifting home identities”, Paper presented at Proceedings of the 30th Annual Conference of the Environmental Design Research Association, Orlando, Florida, USA.

Chang, W. N., 1996, Environment Risk Perception and Housing Choice Behavioral Analysis-an Example of Hsin Chu Science Park, Master thesis, Department of Land Management, Feng Chia University.

Chuang, C. L., 1998, Study of Influence of the House Demand by Employees from Hsin Chu Science Park on Its Peripheral Real Estate, Master Thesis, Department of Architecture and Urban Planning, Chung Hua University.

Cohen, W. M. and D. A. Levinthal, 1990, “Absorptive capacity: a new perspective on learning an innovation”, Administrative Science Quarterly, 35: 128-152.

Edquist, C. and B. Johnson, 1997, “Institutions and organizations in systems of innovation”, in C. Edquist (Eds.) System of Innovation: Technologies, Institutions and Organizations, Pinter, London, 41-63.

Friedman, J., 1966, Regional Development Policy: A Case Study of Venezuela, Cambridge, Massachusetts: The MIT Press.

Granovetter, M., 1985, “Economic action and social structure: The problem of embeddedness”, American Journal of Sociology, 91(3): 481-510.

Harrison, B. ,1992, “Industrial districts: Old wines in new bottles”, Regional Studies, 26(5):469–483.

Hu, T. S., and Hsieh, H. N., 2004, “The Evolution of Community Settlements in High-Tech Regions - A Case Study of the Hsinchu Area”, Urban Planning Forum, 151: 74-78.

Hu, T. S., Hsieh, H. N., and Yu, C. Y., 2002, “Socioeconomic Changes of the Vinicity of the Hsinchu Science-Based Industrial Park”, City and Planning, 29 (1): 37-65.

Hu, T. S., Hsieh, H. N., Hsueh, P. P., and Chia, P. C., 2006, “The Evolution of the High-Tech Region from Demography and Residential Community Dimension- A Case Study of Hsinchu Area”, Environment and the World,14: 1-27.

Hu, Tai-shan, Chien-yuan Lin and Su-Li Chang, 2005, “Role of interaction between technological communities and industrial clustering in innovative activity: The case of Hsinchu district, Taiwan”, Urban Studies, 42(7): 1139-1160.

Huang, J. F., 2003, Research Analysis of the Housing Choices Made by Scientific and Technological Personnel via the Logit Model, Master thesis, Department of Architecture and Urban Planning, Chung Hua University.

Hugstand, P., J. W. Taylor and G. D. Bruce, 1987, “The effects of social class and perceived risk on consumer information search”, Journal of Services Marketing, 1(1): 47-52.

Hung, F. C., 2002, Environment Risk Perception and Housing Choice Behavioral Analysis-an Example of Hsin Chu Science Park, Master thesis, Graduate Institute of Architecture and Urban Planning, Chinese Culture University.

Leckie, G. J., K. E. Pettigrew and C. Sylvain, 1996, “Modeling the information seeking of professionals: A general model derived from research on engineers, health care professionals, and lawyers”, Library Quarterly, 66(2): 161-193.

Lin, C. C., Feng, C. M., and Li, Y. N., 2004, “The Effects of Knowledge Accessibility on Innovation - A Case Study of the Electronic Industry in the Northern Taiwan Region”, Transportation Planning Journal, 33 (3): 577-601.

Lin, Chien-Yuan, 1997, “Technopolis development: An assessment of the Hsinchu experience”, International Planning Studies, 2(2): 257-272.

Lundvall, B. A., 1993, “Explaining interfirm cooperation and innovation: Limits of the transaction-cost approach”, in Grabher G. (Eds.) The Embedded Firm: On the Socioeconomics of Industrial Networks, London: Routledge, 52-64.

Maskell, P. and A. Malmberg, 1999, “The competitiveness of firms and regions: ‘Ubiquitification’ and the importance of localized learning”, European Urban and Regional Studies, 6(1): 9-25.

Masser, I., 1991, “By accident or design: Some lessons from technology led local economic development initiatives”, Review of Urban and Regional Development Studies, 3: 78-93.

McAndrew, F. T., 1993, “Environmental Psychology”, Pacific Grove, California: Books / Cole.

Midgley, D. F., 1983, “The dimensions of advertising involvement”, in Kent B. Monroe (Eds.) Association for Consumer Research, MI: AnnArbor, 25-30.

Murray, K. B., 1991, “A test of services marketing theory: Consumer information acquisition activities”, Journal of Marketing, 55(1): 10-25.

Nelson, R. R. and S. G. Winter, 1982, “An Evolutionary Theory of Economic Change”, Cambridge, MA: Harvard University Press.

Oakey, R. P. ,1981, High Technology Industry and Industrial Location, Farnborough: Gower.

Oh, Deog-Seong and Sang-Ryong Cha ,2001, “Critical success factors of technopolis for regional innovation: Case study of Daedeok Science Town”, paper presented at the International Symposium on City Planning 2001, Taejon, Korea.

Perez, C. and L. Soete, 1988, “Catching up in technology: Entry barriers and windows”, in G. Dosi, C. Freeman, R. Nelson, G. Silverberg and L. Soete (Eds) Technical Change and Economic Theory, London: Pinter, 458-479.

Polanyi, K. ,1944, The Great Transformation, Boston: Beacon.

Porter, M. E. ,1998, On Competition, Boston: Harvard Business School.

Rosen, S., 1976, “Hedonic prices and implicit markets: Product differentiation in pure competition”, Journal of Political Economy, 82(1): 35-55.

Saxenian, A. ,1994, “Regional Advantage: Culture and Competition in Silicon Valley and Route 128”, Boston: Harvard .

Shen, T. K., 2002, Housing Demands and Commuting Patterns of Science-based Industrial Park Employees – a case study of Hsin-Chu Science Park, Master thesis, Graduate Institute of Environmental Policy, National Dong Hwa University.

Smilor, R., Kozmetsky, W. and Gibson D., 1988, Creating the Technopolics, Cambridge, MA: Ballinger.

Tiebout, C. M., 1956, “A pure theory of local expenditure”, Journal of Political Economy, 64: 416-424.

Torre, A. and Gilly J. P., 2000, “On the analytical dimension of proximity dynamics”, Regional Studies, 34(2): 169-180.

Verspagen, B. and W. Schoenmakers, 2000, The spatial dimension of knowledge spillovers in europe: evidence from firm patenting data, MERIT Working Papers.

Williams, D. R., M.E. Patterson, J. W. Roggenbuck, and A. E. Watson, 1992, “Beyond the commodity metaphor: Examining emotional and symbolic attachment to place”, Leisure Sciences, 14(1): 29-46.

Wu, Kang-Li, 1998, “A study of the impact of science park development on housing development: A case study of Silicon Valley and its implications for Taiwan’s science park planning”, Paper presented at the 3rd Asian Real Estate Society (AsRES), Taipei, Taiwan.

Download undefine1407081445_2.pdf