Site selection using multi attribute decision analysis in GIS - A case study on brownfields of Minnesota
Abstract
Minnesota is the seventh largest agricultural exporting state in the U.S. For Class I railroads
grain and grain related food products accounted for 7.9% of carloads, 11.3% of tons hauled and
12.2% of revenues. Much of the grain exported, has to travel long distances (more than 1,000
miles) to reach U.S. ports. These increasing volumes of grain are being shipped in containers
because Containers offer opportunities to lower logistics costs and to broaden marketing
options. Consequently, exporters are put at a competitive disadvantage when they are unable
to obtain containers at a reasonable cost for their exports and new market entrants
experienced threat to their new markets. This situation has increased the desire with inland,
small market shippers for more and closer container terminals for shorter truck hauls and
increased access to empty containers.
The objective of this research is to prepare a comprehensive database of Brownfield sites and
find the optimal locations amongst them in order to establish new container depots in the state
of Minnesota. Geographic Information Systems (GIS) with multi attribute Weighted Linear
Combination (WLC) that is based on weighted average, are the tools used to conduct the
analysis. The criteria that were used to select suitable sites are Grain elevators, highways,
railroads terminals, port terminals, social and economic factors. The result of the study showed
that there are 90 locations that are potentially feasible for the development of new container
depots in the state of Minnesota.
References
1. Alanbari, M. A., Al-Ansari, N., Jasim, H. K. (2014): GIS and multicriteria desision analysis
forLandfill site selection in Al-Hashemiyah Qadaa. - NaturalScience 6: 282–304,
http://dx.doi.org/10.4236/ns.2014.65032.
2. Arentze, T., Boregers, A., & Timmermans, H. (1998). Location planner: a DSS for the
location planning of retail and service facilities. In Proceedings of the International Conference
on Modelling Geographical and Environmental Systems with GISs (pp. 693-699).
3. Aydi, A., Zairi, M., Dhia, H. B. (2013): Minimization of environmental risk of landfill site
using fuzzy logic, analytical hierarchy process, and weighted linear combination methodology in
a geographic information system environment. - Environ Earth Sci. 68(5): 1375–1389
4. Babalola, A., Busu, I. (2011): Selection of landfill sites for solid waste treatment in
Damaturu town-using GIS techniques. - J Environ Prot 2(1):1-10, DOI: 10.4236/jep.2011.21001.
5. Boroushaki, S., & Malczewski, J. (2008). Implementing an extension of the analytical
hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS.
Computers & Geosciences, 34(4), 399-410.
6. Bowes, D. R., & Ihlanfeldt, K. R. (2001). Identifying the impacts of rail transit stations on
residential property values. Journal of Urban Economics, 50(1), 1-25.
7. Chakhar, S., & Martel, J. M. (2003). Enhancing geographical information systems
capabilities with multi-criteria evaluation functions. Journal of Geographic Information and
Decision Analysis, 7(2), 47-71.
8. Charnpratheep, K., Zhou, Q., & Garner, B. (1997). Preliminary landfill site screening using
fuzzy geographical information systems. Waste management & research, 15(2), 197-215.
9. Clarke, K. C., & Gaydos, L. J. (1998). Loose-coupling a cellular automaton model and GIS:
long-term urban growth prediction for San Francisco and Washington/Baltimore. International
journal of geographical information science, 12(7), 699-714.
10. Colwell, P. F., Dehring, C. A., & Turnbull, G. K. (2002). Recreation demand and residential
location. Journal of urban economics, 51(3), 418-428.
11. Cummins, S. K., & Jackson, R. J. (2001). The built environment and children's health.
Pediatric Clinics of North America, 48(5), 1241-1252.12. Davis, T. S., & Margolis, K. D. (2002). Defining the brownfields problem. Brownfields: A
Comparative Guide to Redeveloping Contaminated Property, 3-13.
13. Demir, G., Kolay, U. E., Okten, H. E., Alyuz, U., Bayat, C. (2016): Selection of alternative
landfill location by using a Geographical information system. European side of istanbul. Case
study. - Environ.Protect. Eng 42: 123-133
14. Dong, P. (2000). Lacunarity for spatial heterogeneity measurement in GIS. Geographic
Information Sciences, 6(1), 20-26.
15. Eastman, J. R. (2006). IDRISI 15: the Andes edition. WMC University, Worcester, MA.
16. Eastman, J. Ronald. GIS and decision making. Unitar, 1995.
17. Eskandari, M., Homaee, M., Mahmodi, S. (2012): An integrated multi criteria approach
for landfill siting in a conflicting environmental, economical and socio-cultural area. - Waste
Manag 32(8): 1528–1538, DOI: 10.1016/j.wasman.2012.03.014.
18. Feizizadeh, B., Jankowski, P., & Blaschke, T. (2014). A GIS based spatially-explicit
sensitivity and uncertainty analysis approach for multi-criteria decision analysis. Computers &
Geosciences, 64, 81e95.
19. Fortney, J. (1996). A Cost‐Benefit Location‐Allocation Model for Public Facilities: An
Econometric Approach. Geographical Analysis, 28(1), 67-92.
20. Gawande, K., Berrens, R. P., & Bohara, A. K. (2001). A consumption-based theory of the
environmental Kuznets curve. Ecological economics, 37(1), 101-112.
21. Gbanie, S. P., Tengbe, P. B., Momoh, J. S., Medo, J., & Kabba, V. T. S. (2013). Modelling
landfill location using geographic information systems (GIS) and multi-criteria decision analysis
(MCDA): Case study Bo, Southern Sierra Leone. Applied Geography, 36, 3e12.
22. Heywood, I., Oliver, J., & Tomlinson, S. (1995). Building an exploratory multi-criteria
modelling environment for spatial decision support. Innovations in GIS, 2, 127-136.
23. Hossain, J. (2009). Development of brownfield database using GIS (Doctoral dissertation,
The University of Texas at Arlington).
24. http://eem.jacksonkelly.com/2011/03/us-conference-of-mayors-2010-brownfieldsreport.html
25. https://www.epa.gov/brownfields/brownfields-program-accomplishments-and-benefits
26. Jankowski, P., Andrienko, N., & Andrienko, G. (2001). Map-centred exploratory
approach to multiple criteria spatial decision making. International Journal of Geographical
Information Science, 15(2), 101-127.27. Kahvand, M., Gheitarani, N., Khanian, M., Ghadarjani, R. (2015): Urban Solid
WasteLandfill Selection By Sdss. Case Study: Hamadan. - Environ.Protec.Eng 41(2): 47-55.
28. Kim, T. K., Horner, M. W., & Marans, R. W. (2005). Life cycle and environmental factors
in selecting residential and job locations. Housing Studies, 20(3), 457-473.
29. Paull, Evans. "The environmental and economic impacts of brownfields redevelopment."
Northeast Midwest (2008).
30. Rector, H. D., Hoag, D. L., McMaster, G. S., Vandenberg, B. C., Shaffer, M. J., Weltz, M.
A., & Ahuja, L. R. (2002). Multicriteria spatial decision support systems: Overview, applications,
and future research directions (Doctoral dissertation, International Environmental Modelling
and Software Society).
31. Reddy, K. R., Adams, J. A., & Richardson, C. (1999). Potential technologies for
remediation of brownfields. Practice Periodical of Hazardous, Toxic, and Radioactive Waste
Management, 3(2), 61-68.
32. Sui, D. Z. (1992). An initial investigation of integrating neural networks with GIS for
spatial decision making. In GIS LIS-INTERNATIONAL CONFERENCE- (Vol. 2, pp. 727-727).
AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING.
33. Tavares, G., Zsigraiová, Z., Semiao, V. (2011): Multi-criteria GIS-based siting of an
incineration plant for municipal solid waste. - Waste Manag. 31: 1960–1972
34. Thrall, G. I. (1998). GIS applications in real estate and related industries. Journal of
Housing Research, 9(1), 33-59.
35. Trammell, S., and M. Pratt. "Decision support built on GIS." A Feature Article, ArcUser 1
(1998): 20-21.
36. Tyrväinen, L., & Väänänen, H. (1998). The economic value of urban forest amenities: an
application of the contingent valuation method. Landscape and Urban Planning, 43(1), 105-118.
37. Van Ommeren, J., Rietveld, P., & Nijkamp, P. (2000). Job mobility, residential mobility
and commuting: A theoretical analysis using search theory. The annals of regional science,
34(2), 213-232.
38. Wyatt, P. J. (1997). The development of a GIS-based property information system for
real estate valuation. International Journal of Geographical Information Science, 11(5), 435-450.
39. Zeng, T. Q., & Zhou, Q. (2001). Optimal spatial decision making using GIS: a prototype of
a real estate geographical information system (REGIS). International Journal of Geographical
Information Science, 15(4), 307-321.40. Zhou, Q., & Charnpratheep, K. (1996). Fuzzy expert system and GIS for solid waste
disposal siting in regional planning. Geographic Information Sciences, 2(1-2), 37-50.
forLandfill site selection in Al-Hashemiyah Qadaa. - NaturalScience 6: 282–304,
http://dx.doi.org/10.4236/ns.2014.65032.
2. Arentze, T., Boregers, A., & Timmermans, H. (1998). Location planner: a DSS for the
location planning of retail and service facilities. In Proceedings of the International Conference
on Modelling Geographical and Environmental Systems with GISs (pp. 693-699).
3. Aydi, A., Zairi, M., Dhia, H. B. (2013): Minimization of environmental risk of landfill site
using fuzzy logic, analytical hierarchy process, and weighted linear combination methodology in
a geographic information system environment. - Environ Earth Sci. 68(5): 1375–1389
4. Babalola, A., Busu, I. (2011): Selection of landfill sites for solid waste treatment in
Damaturu town-using GIS techniques. - J Environ Prot 2(1):1-10, DOI: 10.4236/jep.2011.21001.
5. Boroushaki, S., & Malczewski, J. (2008). Implementing an extension of the analytical
hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS.
Computers & Geosciences, 34(4), 399-410.
6. Bowes, D. R., & Ihlanfeldt, K. R. (2001). Identifying the impacts of rail transit stations on
residential property values. Journal of Urban Economics, 50(1), 1-25.
7. Chakhar, S., & Martel, J. M. (2003). Enhancing geographical information systems
capabilities with multi-criteria evaluation functions. Journal of Geographic Information and
Decision Analysis, 7(2), 47-71.
8. Charnpratheep, K., Zhou, Q., & Garner, B. (1997). Preliminary landfill site screening using
fuzzy geographical information systems. Waste management & research, 15(2), 197-215.
9. Clarke, K. C., & Gaydos, L. J. (1998). Loose-coupling a cellular automaton model and GIS:
long-term urban growth prediction for San Francisco and Washington/Baltimore. International
journal of geographical information science, 12(7), 699-714.
10. Colwell, P. F., Dehring, C. A., & Turnbull, G. K. (2002). Recreation demand and residential
location. Journal of urban economics, 51(3), 418-428.
11. Cummins, S. K., & Jackson, R. J. (2001). The built environment and children's health.
Pediatric Clinics of North America, 48(5), 1241-1252.12. Davis, T. S., & Margolis, K. D. (2002). Defining the brownfields problem. Brownfields: A
Comparative Guide to Redeveloping Contaminated Property, 3-13.
13. Demir, G., Kolay, U. E., Okten, H. E., Alyuz, U., Bayat, C. (2016): Selection of alternative
landfill location by using a Geographical information system. European side of istanbul. Case
study. - Environ.Protect. Eng 42: 123-133
14. Dong, P. (2000). Lacunarity for spatial heterogeneity measurement in GIS. Geographic
Information Sciences, 6(1), 20-26.
15. Eastman, J. R. (2006). IDRISI 15: the Andes edition. WMC University, Worcester, MA.
16. Eastman, J. Ronald. GIS and decision making. Unitar, 1995.
17. Eskandari, M., Homaee, M., Mahmodi, S. (2012): An integrated multi criteria approach
for landfill siting in a conflicting environmental, economical and socio-cultural area. - Waste
Manag 32(8): 1528–1538, DOI: 10.1016/j.wasman.2012.03.014.
18. Feizizadeh, B., Jankowski, P., & Blaschke, T. (2014). A GIS based spatially-explicit
sensitivity and uncertainty analysis approach for multi-criteria decision analysis. Computers &
Geosciences, 64, 81e95.
19. Fortney, J. (1996). A Cost‐Benefit Location‐Allocation Model for Public Facilities: An
Econometric Approach. Geographical Analysis, 28(1), 67-92.
20. Gawande, K., Berrens, R. P., & Bohara, A. K. (2001). A consumption-based theory of the
environmental Kuznets curve. Ecological economics, 37(1), 101-112.
21. Gbanie, S. P., Tengbe, P. B., Momoh, J. S., Medo, J., & Kabba, V. T. S. (2013). Modelling
landfill location using geographic information systems (GIS) and multi-criteria decision analysis
(MCDA): Case study Bo, Southern Sierra Leone. Applied Geography, 36, 3e12.
22. Heywood, I., Oliver, J., & Tomlinson, S. (1995). Building an exploratory multi-criteria
modelling environment for spatial decision support. Innovations in GIS, 2, 127-136.
23. Hossain, J. (2009). Development of brownfield database using GIS (Doctoral dissertation,
The University of Texas at Arlington).
24. http://eem.jacksonkelly.com/2011/03/us-conference-of-mayors-2010-brownfieldsreport.html
25. https://www.epa.gov/brownfields/brownfields-program-accomplishments-and-benefits
26. Jankowski, P., Andrienko, N., & Andrienko, G. (2001). Map-centred exploratory
approach to multiple criteria spatial decision making. International Journal of Geographical
Information Science, 15(2), 101-127.27. Kahvand, M., Gheitarani, N., Khanian, M., Ghadarjani, R. (2015): Urban Solid
WasteLandfill Selection By Sdss. Case Study: Hamadan. - Environ.Protec.Eng 41(2): 47-55.
28. Kim, T. K., Horner, M. W., & Marans, R. W. (2005). Life cycle and environmental factors
in selecting residential and job locations. Housing Studies, 20(3), 457-473.
29. Paull, Evans. "The environmental and economic impacts of brownfields redevelopment."
Northeast Midwest (2008).
30. Rector, H. D., Hoag, D. L., McMaster, G. S., Vandenberg, B. C., Shaffer, M. J., Weltz, M.
A., & Ahuja, L. R. (2002). Multicriteria spatial decision support systems: Overview, applications,
and future research directions (Doctoral dissertation, International Environmental Modelling
and Software Society).
31. Reddy, K. R., Adams, J. A., & Richardson, C. (1999). Potential technologies for
remediation of brownfields. Practice Periodical of Hazardous, Toxic, and Radioactive Waste
Management, 3(2), 61-68.
32. Sui, D. Z. (1992). An initial investigation of integrating neural networks with GIS for
spatial decision making. In GIS LIS-INTERNATIONAL CONFERENCE- (Vol. 2, pp. 727-727).
AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING.
33. Tavares, G., Zsigraiová, Z., Semiao, V. (2011): Multi-criteria GIS-based siting of an
incineration plant for municipal solid waste. - Waste Manag. 31: 1960–1972
34. Thrall, G. I. (1998). GIS applications in real estate and related industries. Journal of
Housing Research, 9(1), 33-59.
35. Trammell, S., and M. Pratt. "Decision support built on GIS." A Feature Article, ArcUser 1
(1998): 20-21.
36. Tyrväinen, L., & Väänänen, H. (1998). The economic value of urban forest amenities: an
application of the contingent valuation method. Landscape and Urban Planning, 43(1), 105-118.
37. Van Ommeren, J., Rietveld, P., & Nijkamp, P. (2000). Job mobility, residential mobility
and commuting: A theoretical analysis using search theory. The annals of regional science,
34(2), 213-232.
38. Wyatt, P. J. (1997). The development of a GIS-based property information system for
real estate valuation. International Journal of Geographical Information Science, 11(5), 435-450.
39. Zeng, T. Q., & Zhou, Q. (2001). Optimal spatial decision making using GIS: a prototype of
a real estate geographical information system (REGIS). International Journal of Geographical
Information Science, 15(4), 307-321.40. Zhou, Q., & Charnpratheep, K. (1996). Fuzzy expert system and GIS for solid waste
disposal siting in regional planning. Geographic Information Sciences, 2(1-2), 37-50.
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