Smart growth and transit-oriented development planning in site selection for a new metro transit station in Taipei, Taiwan

Abstract In recent years, the application of transit-oriented development (TOD) concept to urban development has been proposed based on the planning principles of smart growth and sustainable development. The development of appropriate design techniques for the surrounded built environment of TOD has become increasingly important as TOD concepts apply to urban development. The available evidence lends itself to the argument that a combined design strategies and TOD patterns planning approach that promotes the quality of urban built environment will help create active, healthier, and more livable communities. This is an essential element of this research. The TOD design strategies can be proposed by utilizing the supply side prediction methodologies of planning. There has also been an increasing interest in the urban built environment design in the past decade. This interest is motivated by the possibility that design policies associated with the built environment can be used to control, manage, and shape individual activity and behavior. This paper first studies and classifies smart growth principles based on literature review. Then the individual expert's judgments are obtained and utilized to evaluate the relative importance of smart growth principles. Next, the site selection for a new metro transit station in Taipei (Taiwan) is conducted to show the application of our proposed methodological approach. A combined Fuzzy Analytic Hierarchy Process (FAHP) and Data Envelopment Analysis (DEA) model with assurance region approach is applied to select the most suitable station from a given set of possible station sites. Both the selected station and the proposed methodological approach are provided to the public sector.

[1]  A. Downs Smart Growth: Why We Discuss It More than We Do It , 2005 .

[2]  Theodor J. Stewart,et al.  Relationships between Data Envelopment Analysis and Multicriteria Decision Analysis , 1996 .

[3]  Kaoru Tone,et al.  A comparative site evaluation study for relocating Japanese government agencies out of Tokyo , 2003 .

[4]  Lawrence M. Seiford,et al.  Prioritization models for frontier decision making units in DEA , 1992 .

[5]  C. Kao,et al.  Efficiency analysis of university departments: An empirical study , 2008 .

[6]  Jean H. P. Paelinck,et al.  Qualitative Multicriteria Analysis: An Application to Airport Location , 1977 .

[7]  Zilla Sinuany-Stern,et al.  Discrete Multiattribute Utility Approach to Project Selection , 1987 .

[8]  Fariborz Y. Partovi,et al.  An analytic model for locating facilities strategically , 2006 .

[9]  Muhittin Oral,et al.  A methodology for collective evaluation and selection of industrial R&D projects , 1991 .

[10]  Patrick T. Harker,et al.  The Analytic hierarchy process : applications and studies , 1989 .

[11]  Bruce L. Golden,et al.  Linear programming models for estimating weights in the analytic hierarchy process , 2005, Comput. Oper. Res..

[12]  W. Cook,et al.  A data envelopment model for aggregating preference rankings , 1990 .

[13]  Tomomi Matsui,et al.  AN INEFFICIENCY MEASUREMENT METHOD FOR MANAGEMENT SYSTEMS , 1994 .

[14]  Cengiz Kahraman,et al.  Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey , 2004 .

[15]  Ying-Ming Wang,et al.  A linear programming method for generating the most favorable weights from a pairwise comparison matrix , 2008, Comput. Oper. Res..

[16]  Zilla Sinuany-Stern,et al.  Academic departments efficiency via DEA , 1994, Comput. Oper. Res..

[17]  J. Cubbin,et al.  Public Sector Efficiency Measurement: Applications of Data Envelopment Analysis , 1992 .

[18]  Yu-Hern Chang,et al.  A Comparative Location Study for the Joint Development Station of a Mass Rapid Transit System: A Case in Taichung City in Taiwan , 2009 .

[19]  Toshiyuki Sueyoshi,et al.  A unified framework for the selection of a Flexible Manufacturing System , 1995 .

[20]  篠原 正明,et al.  William W.Cooper,Lawrence M.Seiford,Kaoru Tone 著, DATA ENVELOPMENT ANALYSIS : A Comprehensive Text with Models, Applications, References and DEA-Solver Software, Kluwer Academic Publishers, 2000年, 318頁 , 2002 .

[21]  Zilla Sinuany-Stern,et al.  DEA and the discriminant analysis of ratios for ranking units , 1998, Eur. J. Oper. Res..

[22]  Alyson L Geller Smart growth: a prescription for livable cities. , 2003, American journal of public health.

[23]  Linxin Ye,et al.  What Is “Smart Growth?”—Really? , 2005 .

[24]  John S. Miller,et al.  The “smart growth” debate: best practices for urban transportation planning , 2002 .

[25]  Rodney H. Green,et al.  Data envelopment analysis and multiple criteria decision making , 1993 .

[26]  Richard Muther,et al.  Systematic Layout Planning , 1985 .

[27]  Mary Margaret Edwards,et al.  Evaluating Smart Growth , 2007 .

[28]  Hokey Min,et al.  LOCATION PLANNING OF AIRPORT FACILITIES USING THE ANALYTIC HIERARCHY PROCESS. , 1994 .

[29]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[30]  Taho Yang,et al.  Systematic layout planning: a study on semiconductor wafer fabrication facilities , 2000 .

[31]  Farimah Mokhatab Rafiei,et al.  The Application of Fuzzy Analytic Hierarchy Process Approach for the Selection of Warehouse Location: A Case Study , 2012 .

[32]  Kaoru Tone,et al.  A comparative study on AHP and DEA , 2017 .

[33]  Robert Cervero,et al.  Rail + Property Development: A model of sustainable transit finance and urbanism , 2008 .

[34]  Zilla Sinuany-Stern,et al.  Combining ranking scales and selecting variables in the DEA context: the case of industrial branches , 1998, Comput. Oper. Res..

[35]  Yan Song,et al.  New urbanism and housing values: a disaggregate assessment , 2003 .

[36]  Valerie Belton,et al.  Demystifying DEA — A Visual Interactive Approach Based on Multiple Criteria Analysis , 1993 .

[37]  Yacov Y. Haimes,et al.  Decision Making with Multiple Objectives , 1985 .

[38]  W. Cooper,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 1999 .

[39]  Ralph L. Keeney,et al.  Feature Article - Decision Analysis: An Overview , 1982, Oper. Res..

[40]  R. Dyson,et al.  Reducing Weight Flexibility in Data Envelopment Analysis , 1988 .

[41]  E. Talen,et al.  New Urbanism and Smart Growth: A Few Words from the Academy , 2005 .

[42]  Peter C. Fishburn,et al.  Expected utility: An anniversary and a new era , 1988 .

[43]  Zilla Sinuany-Stern,et al.  An AHP/DEA methodology for ranking decision making units , 2000 .

[44]  Zilla Sinuany-Stern,et al.  Scaling units via the canonical correlation analysis in the DEA context , 1997, Eur. J. Oper. Res..

[45]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[46]  Richard de Neufville,et al.  Successful Siting of Airports: Sydney Example , 1990 .

[47]  A Gerodimos,et al.  Robust Discrete Optimization and its Applications , 1996, J. Oper. Res. Soc..

[48]  Shinn Sun,et al.  Assessing joint maintenance shops in the Taiwanese Army using data envelopment analysis , 2004 .

[49]  Barton A. Smith,et al.  Comparative Site Evaluations for Locating a High-Energy Physics Lab in Texas , 1986 .

[50]  Theodor J. Stewart Data envelopment analysis and multiple criteria decision making: A response , 1994 .

[51]  M. Brandeau,et al.  An overview of representative problems in location research , 1989 .

[52]  Hung-Tso Lin,et al.  Personnel selection using analytic network process and fuzzy data envelopment analysis approaches , 2010, Comput. Ind. Eng..

[53]  Tim Chapin,et al.  From Growth Controls, to Comprehensive Planning, to Smart Growth: Planning's Emerging Fourth Wave , 2012 .