Skip to main content
SpringerLink
Log in
Book cover

Location Science pp 559–590Cite as

Location and Geographic Information Systems

  • Chapter
  • First Online:

  • 2555 Accesses

Abstract

Since their early stages of development, Geographic Information Systems (GIS) were utilized in a variety of ways to support analytical models in the field of location science. The interactions between the two disciplines soon became so evident that one can safely argue that GIS and location science are influencing each other in multiple ways. The rapid technological advances in the field of GIS and the ever increasing availability of geographically referenced information create even more possibilities for interconnections between GIS and location science. This chapter highlights these new possibilities and the new directions that emerge within academic research as well as in practical applications. We also attempt to point out further possibilities that may emerge in the future for linking these two disciplines.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Adesina EA, Odumosu JO, Morenikeji OO, Umoru E, Ayokanmbi AO, Ogunbode EB (2017) Optimization of fire stations services in Minna Metropolis using maximum covering location model (MCLM). J Appl Sci Env Sustain 3(7):172–187

    Google Scholar 

  • Ahmad S (2011) GIS-based analysis and modeling with empirical and remotely-sensed data on coastline advance and retreat. Electronic Theses and Dissertations, Paper 446. http://scholar.uwindsor.ca/cgi/viewcontent.cgi?article=1445&context=etd. Accessed 23 Oct 2018

  • Ait-Ouahmed A, Josselin D, Zhou F (2018) Relocation optimization of electric cars in one-way car-sharing systems: modeling, exact solving and heuristics algorithms. Int J Geogr Inf Sci 32:367–398

    Article  Google Scholar 

  • Ali Hariz H, Donmez CC, Sennaroglu B (2017) Siting of a central healthcare waste incinerator using GIS-based multi-criteria decision analysis. J Clean Prod 166:1031–1042

    Article  Google Scholar 

  • Al-Marwani HA (2014) An approach to modeling and forecasting real estate residential property market, Ph.D. Thesis, Brunel University

    Google Scholar 

  • Altaweel M (2017) The use of python in GIS, in GISLounge. Accessed 31 July 2018

    Google Scholar 

  • Ayodele TR, Ogunjuyigbea ASO, Odigiea O, Mundab JL (2018) A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: the case study of Nigeria. Appl Energ 228:1853–1869

    Article  Google Scholar 

  • Barbati M, Bruno G (2017) Exploring similarities in discrete facility location models with equality measures. Geogr Anal https://doi.org/10.1111/gean.12151

  • Barbati M, Piccolo C (2016) Equity measure properties for location problems. Optim Lett 10:903–920

    Article  MathSciNet  MATH  Google Scholar 

  • Bina SM, Jalilinasrabady S, Fujii H, Farabi-Asl H (2018) A comprehensive approach for wind power plant potential assessment, application to northwestern Iran. Energy 52:77–88

    Google Scholar 

  • Bozkaya B (2017) Using a GIS-based framework to determine ATM and branch locations. Personal Communication

    Google Scholar 

  • Bozkaya B (2018) A clustering approach to insurance agent segmentation and identifying new target insurance agents. Personal Communication

    Google Scholar 

  • Brandeau ML, Chiu SS (1989) An overview of representative problems in location research. Manage Sci 25:645–674

    Article  MathSciNet  MATH  Google Scholar 

  • Bruno G, Giannikos I (2015) GIS and location. In: Laporte G, Nickel S, Saldanha da Gama F (eds) Location science. Springer International Publishing, New York, pp 509–536

    Google Scholar 

  • Bruno G, Diglio A, Melisi A, Piccolo C (2017a) A districting model to support the redesign process of Italian Provinces. In: International conference on optimization and decision science (pp. 245–256). Springer, Cham

    Google Scholar 

  • Bruno G, Genovese A, Piccolo C (2017b) Territorial amalgamation decisions in local government: models and a case study from Italy. Socio Econ Plan Sci 57:61–72

    Article  Google Scholar 

  • Bruno G, Diglio A, Piccolo C, Cannavacciuolo L (2018) Territorial reorganization of regional blood management systems: evidences from an Italian case study. Omega. https://doi.org/10.1016/j.omega.2018.09.006

  • Bunch AW, Kim M, Brunelli R (2017) Under our nose: the use of GIS technology and case notes to focus search efforts. J Forensic Sci 62:92–98

    Article  Google Scholar 

  • Burciu S, Stefanica C, Rosca E, Dragu V, Rusca F (2015) Location of an intermediate hub for port activities. In: IOP conference series: materials science and engineering, vol 95, No. 1. IOP Publishing, Bristol, p 012064

    Google Scholar 

  • Cai H, Jia X, Chiu ASF, Hu X, Xu M (2014) Siting public electric vehicle charging stations in Beijing using big-data informed travel patterns of the taxi fleet. Transp Res Part D: Transp Environ 33:39–46

    Article  Google Scholar 

  • Caro F, Shirabe T, Guignard M, Weintraub A (2004) School redistricting: embedding GIS tools with integer programming. J Oper Res Soc 55(8):836–849

    Article  MATH  Google Scholar 

  • Chandel K (2017) Location intelligence is making geospatial technology go main-stream. https://www.geospatialworld.net/article/location-intelligence-geospatial-collaborations/. Accessed 10 Aug 2018

  • Chang K-T (2018) Introduction to geographic information systems 9e. McGraw-Hill Education, New York

    Google Scholar 

  • Chen Y, Bouferguene B, Li HX, Liu H, Shen Y, Al-Hussein M (2018) Spatial gaps in urban public transport supply and demand from the perspective of sustainability. J Clean Prod 195:1237–1248

    Article  Google Scholar 

  • Cheng T, Adepeju M (2013) Detecting emerging space-time crime patterns by prospective. In: STSS, proceedings of the 12th international conference on geocomputation. http://www.geocomputation.org/2013/papers/77.pdf. Accessed 30 Oct 2013

  • Church RL (1999) Location modeling and GIS. In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical information systems. Wiley, New York

    Google Scholar 

  • Church RL (2002) Geographical information systems and location science. Comput Oper Res 29:541–562

    Article  MATH  Google Scholar 

  • Church RL, Garfinkel RS (1978) Locating an obnoxious facility on a network. Transp Sci 2:107–118

    Article  MathSciNet  Google Scholar 

  • Church RL, Li W (2015) Estimating spatial efficiency using cyber search, GIS, and spatial optimization: a case study of fire service deployment in Los Angeles County. Int J Geogr Inf Sci 30(3):535. https://doi.org/10.1080/13658816.2015.1083572

    Article  Google Scholar 

  • Church RL, Murray AT (2009) Business site selection, location analysis and GIS. Wiley, New York

    Google Scholar 

  • Church RL, ReVelle C (1974) The maximal covering location problem. Pap Reg Sci Assoc 32:101–118

    Article  Google Scholar 

  • Cooper L (1963) Location-allocation problems. Oper Res 11:311–343

    Article  MathSciNet  MATH  Google Scholar 

  • Current J, Schilling D (1990) Analysis of errors due to demand data aggregation in set covering and maximal covering location problems. Geogr Anal 22:116–126

    Article  Google Scholar 

  • Current J, Min H, Schilling D (1990) Multiobjective analysis of facility location decisions. Eur J Oper Res 49:295–307

    Article  MATH  Google Scholar 

  • Dasarathy Z, White LJ (1980) A maxmin location problem. Oper Res 32:309–325

    MathSciNet  MATH  Google Scholar 

  • de Smith M, Longley P, Goodchild M (2013) Geospatial analysis – a comprehensive guide to principles, techniques and software tools 4e. Winchelsea Press, Winchelsea

    Google Scholar 

  • de Villiers L, Motsomi A, Berkowitz B (2016) 7 applications of GIS data by financial service providers, insight2impact (i2i). http://www.i2ifacility.org/, Accessed 10 Aug 2018

  • Dibene JC, Maldonado Y, Vera C, de Oliveira M, Trujillo L, Schütze O (2016) Optimizing the location of ambulances in Tijuana, Mexico. Comput Biol Med 80:107–113

    Article  MATH  Google Scholar 

  • Dodson ZM, Agadjanian V, Driessen J (2017) How to allocate limited health care resources: lessons from the introduction of antiretroviral therapy in rural Mozam-bique. Appl Geogr 78:45–54

    Article  Google Scholar 

  • Drezner Z, Wesolosky GO (1980) Single facility lp distance minimax location. SIAM J Algebra Discr Methods 1:315–321

    Article  Google Scholar 

  • Eiselt HA, Laporte G (1995) Objectives in location problems. In: Drezner Z (ed) Facility location: a survey of applications and methods. Springer, Berlin, pp 151–180

    Chapter  Google Scholar 

  • Elzinga J, Hearn DW (1972) Geometrical solutions for some minimax location problems. Transp Sci 6:379–394

    Article  MathSciNet  Google Scholar 

  • Erbaş M, Kabak M, Ozceylan E, Çetinkaya C (2018) Optimal siting of electric vehicle charging stations: a GIS-based fuzzy multi-criteria decision analysis. Energy 163:1017–1031

    Article  Google Scholar 

  • Erlenkotter D (1978) A dual-based procedure for uncapacitated facility location. Oper Res 26:992–1009

    Article  MathSciNet  MATH  Google Scholar 

  • Esmaelian M, Tavana M, Arteaga FJS, Mohammadi S (2015) A multicriteria spatial decision support system for solving emergency service station location problems. Int J Geogr Inf Sci 29(7):1187–1213

    Article  Google Scholar 

  • Everts S (2016) Information overload. Distillations 2(2):26–33. Retrieved 30 July 2018

    Google Scholar 

  • Farahani RZ, SteadieSeifi M, Asgari R (2010) Multiple criteria location problems: a survey. Appl Math Model 34:1689–1709

    Article  MathSciNet  MATH  Google Scholar 

  • Ferretti V, Montibeller G (2016) Key challenges and meta-choices in designing and applying multi-criteria spatial decision support systems. Decis Support Syst 84:41–52

    Article  Google Scholar 

  • Fortelius M, Žliobaitė I, Kaya F, Bibi F, Bobe R, Leakey L, Werdelin L (2016) An econometric analysis of the fossil mammal record of the Turkana Basin. Philos Trans R Soc B 371(1698):20150232

    Article  Google Scholar 

  • Francis RL, McGinnis LF, White JA (1983) Locational analysis. Eur J Oper Res 12:220–252

    Article  MathSciNet  MATH  Google Scholar 

  • Francis RL, Lowe T, Tamir A (2002) Demand point aggregation for location models. In: Drezner Z, Hamacher H (eds) Facility location: application and theory. Springer, Berlin, pp 207–232

    Chapter  MATH  Google Scholar 

  • Franco C, Bojesen M, Hougaard JL, Nielsen K (2015) A fuzzy approach to a multiple criteria geographical information system for decision support on suitable locations for biogas plants. Appl Energ 140:304–315

    Article  Google Scholar 

  • Fraser AM, Chester MV, Eisenman D (2018) Strategic locating of refuges for extreme heat events (or heat waves). Urban Clim 25:109–119

    Article  Google Scholar 

  • Gigovic L, Pamucar D, Bozanic D, Ljubojevic S (2017) Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: a case study of Vojvodina, Serbia. Renew Energy 103:501–521

    Article  Google Scholar 

  • Goldman AJ (1971) Optimal center location in simple networks. Transp Sci 5:212–221

    Article  MathSciNet  Google Scholar 

  • Gomez CD, González CM, Osses M, Aristizábal BH (2018) Spatial and temporal disaggregation of the on-road vehicle emission inventory in a medium-sized Andean city. Comparison of GIS-based top-down methodologies. Atmos Environ 178:142–155

    Article  Google Scholar 

  • Goodchild MF (2010) Twenty years of progress: GIScience in 2010. J Spat Inf Sci 1:3–20

    Google Scholar 

  • Guerreiro TCM, Providelo JK, Pitombo CS, Rui Ramos AR, Rodrigues da Silva AN (2018) Data-mining, GIS and multicriteria analysis in a comprehensive method for bicycle network planning and design. Int J Sust Transp 12:179–191

    Article  Google Scholar 

  • Gwak JH, Lee BK, Lee WK, Sohn SY (2017) Optimal location selection for the installation of urban green roofs considering honeybee habitats along with socio-economic and environmental effects. J Environ Manag 189:125–133

    Article  Google Scholar 

  • Hakimi SL (1964) Optimal locations of switching centers and the absolute centers and medians of a graph. Oper Res 12:450–459

    Article  MATH  Google Scholar 

  • Hakimi SL (1965) Optimal distribution of switching centers in a communication network and some related theoretic graph problems. Oper Res 13:462–475

    Article  MATH  Google Scholar 

  • Hamacher HW, Nickel S (1998) Classification of location models. Locat Sci 6:229–242

    Article  Google Scholar 

  • Hohn J, Lehtonen E, Rasi S, Rintala J (2014) A geographical information system (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland. Appl Energ 113:1–10

    Article  Google Scholar 

  • Hsieh H-P, Lin S-D, Zheng Y (2015) Inferring air quality for station location recommendation based on urban big data. Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining, pp 437–446

    Google Scholar 

  • Jankowski P, Brown B (2014) Health care accessibility modeling: effects of change in spatial representation of demand for primary health care services. Quaestiones Geographicae 33(3):39–53

    Article  Google Scholar 

  • Jefferson BJ (2017) Digitize and punish: computerized crime mapping and racialized carceral power in Chicago. Environ Plann D 35(5):775–796

    Article  Google Scholar 

  • Kabak M, Erbas M, Çetinkaya C, Ozceylan E (2018) A GIS-based MCDM approach for the evaluation of bike-share stations. J Clean Prod 201:49–60

    Article  Google Scholar 

  • Kalcsics J, Nickel S, Schröder M (2005) Towards a unified territorial design approach—applications, algorithms and GIS integration. Top 13:1–56

    Article  MathSciNet  MATH  Google Scholar 

  • Khalid S, Shoaib F, Qian T, Rui Y, Bari AI, Sajjad M, Shakeel M, Wang J (2018) Network constrained spatio-temporal hotspot mapping of crimes in Faisalabad. Appl Spat Anal 11:599–622

    Article  Google Scholar 

  • Kılcı F, Kara BY, Bozkaya B (2015) Locating temporary shelter areas after an earthquake: a case for Turkey. Eur J Oper Res 243:323–332

    Article  MATH  Google Scholar 

  • Kim Y, Byon Y-J, Yeo H (2018) Enhancing healthcare accessibility measurements using GIS: a case study in Seoul, Korea. PLoS One. https://doi.org/10.1371/journal.pone.0193013

  • Kolvoord R, Keranen K, Rittenhouse P (2017) Applications of location-based services and mobile technologies in K-12 classrooms. ISPRS Int J Geo Inf 6(7):209

    Article  Google Scholar 

  • Lee J-G, Kang M (2015) Geospatial big data: challenges and opportunities. Big Data Res 2(2):74–81

    Article  MathSciNet  Google Scholar 

  • Lee K, Ganti RK, Srivatsa M, Liu L (2014) Efficient spatial query processing for big data. In: Proceedings of the 22nd ACM SIGSPATIAL international conference on advances in geographic information systems – SIGSPATIAL’14, pp 469–472

    Google Scholar 

  • Lei TL, Church RL, Lei Z (2016) A unified approach for location-allocation analysis: integrating GIS, distributed computing and spatial optimization. Int J Geogr Inf Sci 30(3):515–534

    Article  Google Scholar 

  • Luis AA, Cabral P (2016) Geographic accessibility to primary healthcare centers in Mozambique. Int J Equity Health 15:173

    Article  Google Scholar 

  • Magalhaes MT (2016) Spatial coverage index for assessing national and regional transportation infrastructures. J Transp Geogr 56:53–61

    Article  Google Scholar 

  • Maghfiroh MF, Hossain M, Hanaoka S (2017) Minimising emergency response time of ambulances through pre-positioning in Dhaka city, Bangladesh. Int J Log Res Appl 21(1):53–71

    Article  Google Scholar 

  • Malczewski J (2004) GIS-based land-use suitability analysis: a critical overview. Prog Plann 62:3–65

    Article  Google Scholar 

  • Marsh MT, Schilling DA (1994) Equity measurement in facility location analysis: a review and framework. Eur J Oper Res 74:1–17

    Article  MATH  Google Scholar 

  • Masron T, Norhasimah I, Azizan M (2016) The conceptual design and application of web-based tourism decision support systems. Theor Empirica 11:21–35

    Google Scholar 

  • McCormack R, Coates G (2015) A simulation model to enable the optimization of ambulance fleet allocation and base station location for increased patient survival. Eur J Oper Res 247:294–309

    Article  MATH  Google Scholar 

  • Miller G (2018) Teaching modern GIS. http://news.aag.org/2018/02/teaching-modern-gis/

  • Minieka E (1970) The m-center problem. SIAM Rev 12:138–141

    Article  MathSciNet  MATH  Google Scholar 

  • Mintchev S (2014) User-defined rules made simple with functional programming. In: Abramowicz W, Kokkinaki A (eds), Business Information Systems. Springer International Publishing, New York, pp 229–240

    Chapter  Google Scholar 

  • Mohammed EA, Far BH, Naugler C (2014) Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends. BioData Mining 7(1):22. http://dx.doi.org/10.1186/1756-0381-7-22

    Article  Google Scholar 

  • Mohib-Ul-Haque Khan M, Vaezi M, Kumar A (2018) Optimal siting of solid waste-to-value-added facilities through a GIS-based assessment. Sci Tot Environ 610–611:1065–1075

    Article  Google Scholar 

  • Murad A (2007) A GIS application for modeling accessibility to health care centers in Jeddah, Saudi Arabia. In: Lai PC, Mak ASH (eds) GIS for health and the environment. Lecture notes in geoinformation and cartography. Springer, Berlin

    Google Scholar 

  • Murad A (2018) Using GIS for determining variations in health access in Jeddah city, Saudi Arabia. Int J Geo Inf 7:254. http://dx.doi.org/10.3390/ijgi7070254

    Article  Google Scholar 

  • Murray AT (2010) Advances in location modeling: GIS linkages and contributions. J Geogr Syst 12:335–354

    Article  Google Scholar 

  • Murray AT (2016) Maximal coverage location problem: impacts, significance and evolution. Intern Reg Sci Rev 39:5–27

    Article  Google Scholar 

  • Noorollahi Y, Yousefi H, Mohammadi M (2016) Multi-criteria decision support system for wind farm site selection using GIS. Sustain Energy Tech Assess 13:38–50

    Google Scholar 

  • Percivall G (2013) The power of location. http://www.opengeospatial.org/blog/1817 (April 2013). Open geospatial consortium

  • Pfeifer M, Kor L, Nilus R, Turner E, Cusack J, Khoo M, Chey VK, Ewers RM (2016) Mapping the structure of Borneo’s tropical forests across a degradation gradient. Remote Sens Environ 176:84–97

    Article  Google Scholar 

  • Polo G, Acosta CM, Ferreira F, Dias RA (2015) Location-allocation and accessibility models for improving the spatial planning of public health services. PLoS One 10(3):e0119190

    Article  Google Scholar 

  • Provost F, Fawcett T (2013) Data science for business: what you need to know about data mining and data-analytic thinking, 1st ed. O’Reilly Media, Sebastopol

    Google Scholar 

  • ReVelle CS, Eiselt HA (2005) Location analysis: a synthesis and survey. Eur J Oper Res 165:1–19

    Article  MathSciNet  MATH  Google Scholar 

  • ReVelle CS, Swain RW (1970) Central facilities location. Geogr Anal 2:30–42

    Article  Google Scholar 

  • ReVelle CS, Eiselt HA, Daskin MS (2008) A bibliography for some categories in discrete location science. Eur J Oper Res 184:817–848

    Article  MathSciNet  MATH  Google Scholar 

  • Saghapour T, Moridpour S, Thompson RG (2016) Public transport accessibility in metropolitan areas: a new approach incorporating population density. J Transp Geogr 54:273–285

    Article  Google Scholar 

  • Sanchez-Lozano JM, García-Cascales MS, Lamata MT (2016) GIS-based onshore wind farm site selection using fuzzy multi-criteria decision making methods. Evaluating the case of Southeastern Spain. Appl Energy 171:86–102

    Article  Google Scholar 

  • Shaheen M, Khan MZ (2016) A method of data mining for selection of site for wind turbines. Renew Sustain Energy Rev 55:1225–1233

    Article  Google Scholar 

  • Shapiro MA, Bliss D (2016) Rewards and consequences: redistricting on the Chicago City Council. Local Gov Stud 42:139–163

    Article  Google Scholar 

  • Shekhar S, Evans MR, Gunturi V, Yang K, Cugler DC (2014) Benchmarking spatial big data. In: Rabl T, Poess M, Baru C, Jacobsen H-A (eds) Specifying big data benchmarks. Springer, Berlin, pp 81–93

    Chapter  Google Scholar 

  • Silva S, Alcada-Almeida L, Dias LC (2014) Biogas plants site selection integrating multicriteria decision aid methods and GIS techniques: a case study in a Portuguese region. Biomass Bioenerg 71:58–64

    Article  Google Scholar 

  • Sindhu S, Nehraa V, Luthrab V (2017) Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: case study of India. Renew Sust Energ Rev 73:496–511

    Article  Google Scholar 

  • Suhara Y, Bahrami M, Bozkaya B, Pentland A (2019) Validating gravity-based market share models using large-scale transactional data. arXiv preprint arXiv:1902.03488

    Google Scholar 

  • Tahri M, Hakdaoui M, Maanan M (2015) The evaluation of solar farm locations applying geographic information system and multi-criteria decision-making methods: case study in southern Morocco. Renew Sust Energ Rev 51:1354–1362

    Article  Google Scholar 

  • Tali JA, Malik MM, Divya S, Nusrath A, Mahalingam B (2017) Location–allocation model applied to urban public services: spatial analysis of fire stations in Mysore urban area Karnataka, India. Int J Adv Res Develop 2(5):795–801

    Google Scholar 

  • Terh SH, Cao K (2018) GIS-MCDA based cycling paths planning: a case study in Singapore. Appl Geogr 94:107–118

    Article  Google Scholar 

  • Ting C-Y, Ho CC, Yee HJ, Matsah WR (2018) Geospatial analytics in retail site selection and sales prediction. Big Data 6(1). https://doi.org/10.1089/big.2017.0085

  • Tobler W (1970) A computer movie simulating urban growth in the Detroit region. Econ Geogr 46(2):234–240

    Article  Google Scholar 

  • Toregas C, Swain R, ReVelle C, Bergman L (1971) The location of emergency service facilities. Oper Res 19:1363–1373

    Article  MATH  Google Scholar 

  • Valdes-Dapena P (2011) GPS systems that save gas. http://money.cnn.com/2011/03/03/autos/navigation_gps_fuel_economy/, March 2011, CNN Money

  • Vasileiou M, Loukogeorgaki E, Vagiona DG (2017) GIS-based multi-criteria decision analysis for site selection of hybrid offshore wind and wave energy systems in Greece. Renew Sust Energ Rev 73:745–757

    Article  Google Scholar 

  • Verma S, Verma R K, Singh A, Naik N (2012) Web-based GIS and desktop open source GIS software: an emerging innovative approach for water resources management. In: Wyld DC et al (eds) Advances in computer science, Engineering & Application, AISC, vol 167, pp 1061–1074

    Google Scholar 

  • Villacreses G, Gaona G, Martínez-Gomez J, Jijon DJ (2017) Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: the case of continental Ecuador. Renew Energy 109:275–286

    Article  Google Scholar 

  • Wang J, Tsai CH, Lin PC (2016) Applying spatial-temporal analysis and retail location theory to pubic bikes site selection in Taipei. Transp Res A 94:45–61

    Google Scholar 

  • Watson JJW, Hudson MD (2015) Regional scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation. Landscape Urban Plan 128:20–31

    Article  Google Scholar 

  • Wenkel KO, Berg M, Mirschel W, Wieland R, Nendel C, Köstner B (2013) LandCaRe DSS e an interactive decision support system for climate change impact assessment and the analysis of potential agricultural land use adaptation strategies. J Envir Mang 127:s168–s183

    Article  Google Scholar 

  • Xu J, Yin X, Chen D, An J, Nie G (2016) Multi-criteria location model of earthquake evacuation shelters to aid in urban planning. Int J Disaster Risk Reduct 20:51–62

    Article  Google Scholar 

  • Yao X, Zhu D, Yun W, Peng F, Li L (2017) A WebGIS-based decision support system for locust prevention and control in China. Comput Electron Agr 140:148–158

    Article  Google Scholar 

  • Zhu Y, Du Q, Tian F, Ren F, Liang S, Chen Y (2016) Location optimization using a hierarchical location-allocation model for trauma centers in Shenzhen, China. Int J Geo Inf 5(10):190

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Sabanci University, Istanbul, Turkey

    Burcin Bozkaya

  2. University of Naples Federico II, Naples, Italy

    Giuseppe Bruno

  3. University of Patras, Patras, Greece

    Ioannis Giannikos

Authors
  1. Burcin Bozkaya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Giuseppe Bruno
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ioannis Giannikos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Burcin Bozkaya .

Editor information

Editors and Affiliations

  1. HEC Montréal, Montréal, QC, Canada

    Gilbert Laporte

  2. Institute for Operations Research, Karlsruhe Institute of Technology, Karlsruhe, Germany

    Stefan Nickel

  3. Faculty of Science, University of Lisbon, Lisbon, Portugal

    Francisco Saldanha da Gama

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bozkaya, B., Bruno, G., Giannikos, I. (2019). Location and Geographic Information Systems. In: Laporte, G., Nickel, S., Saldanha da Gama, F. (eds) Location Science. Springer, Cham. https://doi.org/10.1007/978-3-030-32177-2_19

Download citation

Publish with us

Policies and ethics

Search

Navigation