Journal of KIBIM (한국BIM학회 논문집)

Korean Institute of Building Information Modeling (한국BIM학회)
권호 표지
DOI QR코드

DOI QR Code

Implementing a Sustainable Decision-Making Environment - Cases for GIS, BIM, and Big Data Utilization -

  • Received : 2016.09.21
  • Accepted : 2016.09.21
  • Published : 2016.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Planning occurs from day-to-day, small-scale decisions to large-scale infrastructure investment decisions. For that reason, various attempts have been made to appropriately assist decision-making process and its optimization. Lately, initiation of a large amount of data, also known as big data has received great attention from diverse disciplines because of versatility and adoptability in its use and possibility to generate new information. Accordingly, implementation of big data and other information management systems, such as geographic information systems (GIS) and building information modeling (BIM) have received enough attention to establish each of its own profession and other associated activities. In this extent, this study illustrates a series of big data implementation cases that can provide a lesson to urban planning domain. In specific, case studies analyze how data was used to extract the most optimized solution and what aspects could be helpful in relation to planning decisions. Also, important notions about GIS and its application in various urban cases are examined.

Keywords

References

  1. Arnott, D. and G. Pervan. (2005). A Critical Analysis of Decision Support Systems Research. Journal of Information Technology 20(2), pp. 67-87. https://doi.org/10.1057/palgrave.jit.2000035
  2. Ascough, J. C., H. D. Rector, et al. (2002). Multicriteria Spatial Decision Support Systems: Overview, Applications, and Future Research Directions. Systems Research1, pp. 175-180.
  3. Belton, V. and T. J. Stewart. (2002). Multiple Criteria Decision Analysis: An Integrated Approach. NewYork,NY, Springer.
  4. Brucker, D. K., C. Macharis, et al. (2011). Multi-Criteria Analysis in Transport Project Evaluation: An Institutional Approach. European Transport47, pp. 3-24.
  5. Chen, Y., J. Yu, et al. (2010). Spatial Sensitivity Analysis of Multi-Criteria Weights in GIS-Based Land Suitability Evaluation. Environmental Modelling & Software 25(12), pp. 1582-1591. https://doi.org/10.1016/j.envsoft.2010.06.001
  6. Coutinho-Rodrigues, J., A. Simao, et al. (2011). A GIS-Based Multicriteria Spatial Decision Support System for Planning Urban Infrastructures. Decision Support Systems 51(3), pp. 720-726. https://doi.org/10.1016/j.dss.2011.02.010
  7. Demesouka, O., A. Vavatsikos, et al. (2013). Suitability Analysis for Siting Msw Landfills and Its Multicriteria Spatial Decision Support System: Method, Implementation and Case Study. Waste management 33(5), pp. 1190-1206. https://doi.org/10.1016/j.wasman.2013.01.030
  8. Fan, Wei. and Albert Bifet. Mining big data: current status, and forecast to the future. ACM sIGKDD Explorations Newsletter 14.2 (2013), pp. 1-5. https://doi.org/10.1145/2481244.2481246
  9. Gorsevski, P. V., S. C. Cathcart, et al. (2013). A Group-Based Spatial Decision Support System for Wind Farm Site Selection in Northwest Ohio. Energy Policy55, pp. 374-385. https://doi.org/10.1016/j.enpol.2012.12.013
  10. Gorsevski, P. V., K. R. Donevska, et al. (2012). Integrating Multi-Criteria Evaluation Techniques with Geographic Information Systems for Landfill Site Selection: A Case Study Using Ordered Weighted Average. Waste management 32(2), pp. 287-296. https://doi.org/10.1016/j.wasman.2011.09.023
  11. Graymore, M. L. M., A. M. Wallis, et al. (2009). An Index of Regional Sustainability: A GIS-Based Multiple Criteria Analysis Decision Support System for Progressing Sustainability. Ecological Complexity6(4), pp. 453-462. https://doi.org/10.1016/j.ecocom.2009.08.006
  12. Hill, J. M., R. Braaten, et al. (2005). Multi-Criteria Decision Analysis in Spatial Decision Support: The Assess Analytic Hierarchy Process and the Role of Quantitative Methods and Spatially Explicit Analysis. Environmental Modeling & Software 20, pp. 955-976. https://doi.org/10.1016/j.envsoft.2004.04.014
  13. Karacapilidis, N. (2006). An Overview of Future Challenges of Decision Support Technologies. Intelligent Decision-Making Support Systems. N.D.J.Gupta, F.A.G. and M.T.M. London, Springer.
  14. Keller, Sallie Ann, Steven E. Koonin, and Stephanie Shipp. Big data and city living: what can it do for us?. Significance 9.4 (2012). pp. 4-7. https://doi.org/10.1111/j.1740-9713.2012.00583.x
  15. Kim, H., D. F. Wunneburger, et al. (2014). Optimizing High-Speed Rail Routes Using a Spatial Decision Support System (SDSS): The Texas Urban Triangle Case. Journal of Transport Geography 34, pp. 194-201. https://doi.org/10.1016/j.jtrangeo.2013.11.014
  16. McIntosh, B., J. Ascough II, et al. (2011). Environmental Decision Support Systems (Edss) Development-Challenges and Best Practices. Environmental Modelling & Software 26(12), pp. 1389-1402. https://doi.org/10.1016/j.envsoft.2011.09.009
  17. Rybarczyk, G. and C. Wu. (2010). Bicycle Facility Planning Using GIS and Multi-Criteria Decision Analysis. Applied Geography 30(2), pp. 282-293. https://doi.org/10.1016/j.apgeog.2009.08.005
  18. Shen, Z., M. Kawakami, et al. (2012). A Planning Support System for Retrieving Planning Alternatives of Historical Conservation Areas from Spatial Data Using GIS. Geospatial Techniques in Urban Planning, Springer: pp. 307-321.
  19. Uran, O. and R. Janssen. (2003). Why Are Spatial Decision Support Systems Not Used? Some Experiences from the Netherlands. Computers, Environment and Urban Systems 27, pp. 511-526. https://doi.org/10.1016/S0198-9715(02)00064-9

Cited by

  1. Integration of BIM and GIS in sustainable built environment: A review and bibliometric analysis vol.103, pp.None, 2019, https://doi.org/10.1016/j.autcon.2019.03.005