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DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY

Yıl 2014, , 203 - 214, 01.06.2014

Umut Erdem

https://doi.org/10.5505/pajes.2014.85856

Öz

Transportation planning requires more efforts from city planners to use rational techniques to determine optimum road routes. To fulfill this requirement, this study aims at generating the cheapest and the shortest scenario based routes using Geographic Information Systems (GIS) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Digital Elevation Model (DEM) with Least Cost Path analysis between the Simav and the Kutahya cities, and comparing them with existing routes. For generating the shortest and the cheapest route, these cities are selected as sample since the study region is located in the transition area between central Anatolia and Aegean Region which has access to the sea and regional ports. The methodology used in this study is composed of three parts: first part consists of two steps; (i) generating the factors and (ii) determining scenarios focusing on different transportation themes that are used in the study process. In second part all factors are weighed regarding scenarios. In the third part of the study the outputs Path A (cheapest) and Path B (shortest) are generated by Least Cost Path analysis. The output routes were compared not only with each other, but also with the existing routes in terms of the generated factors.

Anahtar Kelimeler

Transportation Route planning Digital elevation model GIS Kutahya.

Kaynakça

  • Stefanakis E, Kavouras M. On the Determination of the Optimum Path in Space. Editors: Frank A, Kuhn W. Spatial Information Theory A Theoretical Basis for GIS Lecture Notes in Computer Science, 241-257, Berlin, Germany, Springer, 1995.
  • Kahn H, Wiener AJ. “The Next Thirty-Three Years: A Framework for Speculation”. Daedalus, 96(3), 705-732, 1967.
  • Wahle J, Bazzan ALC, Klügl F, Schreckenberg M. “The Impact of Real-Time Information in a Two-Route Scenario Using Agent-Based Simulation”. Transportation Research Part C: Emerging Technologies, 10(5–6), 399-417, 2002.
  • Lepofsky M, Abkowitz M, Cheng P. “Transportation Hazard Analysis in Integrated GIS Environment”. Journal of Transportation Engineering, 119(2), 239-254, 1993.
  • Keshkamat SS, Looijen JM, Zuidgeest MHP. “The Formulation and Evaluation of Transport Route Planning Alternatives: A Spatial Decision Support System for the Via Baltica Project, Poland”. Journal of Transport Geography, 17(1), 54-64, 2009.
  • Sadek S, Bedran M, Kaysi I. “GIS Platform for Multicriteria Evaluation Transportation Engineering, 125(2), 144-151, 1999.
  • List GF, Mirchandani PB, Turnquist MA, Zografos KG. “Modeling and Analysis for Hazardous Materials Transportation: Risk Analysis, Routing/Scheduling and Facility Location”. Transportation Science, 25(2), 100-114, 1991.
  • Niaraki AS, Kim K. “Ontology Based Personalized Route Planning System Using a Multi-Criteria Decision Making Approach”. Expert Systems with Applications 36(2), 2250- 2259, 2009.
  • Joerin F, Thériault M, Musy A. “Using GIS and Outranking Multicriteria Analysis Assessment”. International Journal of Geographical for Information Science, 15(2), 153-174, 2001. Land-Use Suitability
  • Malczewski J. GIS and Multicriteria Decision Analysis. New York, USA, J. Wiley&Sons, 1999.
  • Jankowski P. “Integrating Geographical Information Systems and Multiple Criteria Decision-Making Methods”. International Journal of Geographical Information Systems 9(3), 251-273, 1995.
  • Malczewski J. “GIS‐Based Multicriteria Decision Analysis: A Survey of the Literature”. International Journal of Geographical Information Science, 20(7), 703-726, 2006.
  • Jiang H, Eastman JR. “Application of Fuzzy Measures in Multi-Criteria Evaluation in GIS”. International Journal of Geographical Information Science, 14(2), 173-184, 2000.
  • Carver SJ. “Integrating Multi-Criteria Evaluation with Geographical Information Systems”. International Journal of Geographical Information Systems, 5(3), 321-339, 1991.
  • McHarg I. “Where Should Highways Go?”. Landscape Architecture, 57(3), 179-181, 1967.
  • Collischonn W, Pilar JV. “A Direction Dependent Least- Cost-Path Algorithm for Roads and Canals”. International Journal of Geographical Information Science, 14(4), 397-406, 2000.
  • Davies G, Whyatt D. “A Least-Cost Approach to Personal Exposure Reduction”. Transactions in GIS, 13(2), 229-246, 2009.
  • Gonçalves AB. “An Extension of GIS-Based Least-Cost Path Modelling to the Location of Wide Paths”. International Journal of Geographical Information Science, 24(7), 983-996, 2010.
  • Saha AK, Arora MK, Gupta RP, Virdi ML, Csaplovics E. “GIS‐Based Route Planning in Landslide‐Prone Areas”. International Journal of Geographical Information Science, 19(10), 1149-1175, 2005.
  • Atkinson DM, Deadman P, Dudycha D, Traynor S. “Multi- Criteria Evaluation and Least Cost Path Analysis for an Arctic All-Weather Road”. Applied Geography, 25(4), 287-307, 2005.
  • Jaga RMN, Sundaram A, Natarajan T. “Wasteland Development Using Geographic Information System Techniques”. International Journal of Remote Sensing, 14(17), 3249–3257, 1993.
  • Kütahya Governorship. “Information about Kütahya Province”.http://www.kutahya.gov.tr/tab_icerik.php?cat =tarih&lang=tr&id= (18.02.2013).
  • Mitchell WA, Glowatski EA. “A Geography of Kütahya Province, Turkey”. Air Force Academy Colorado Springs CO, Turkey, 1976.
  • GEODATA. “Republic of Turkey, Ministry of Forest and Water”. http://geodata.ormansu.gov.tr/3d/indexv5.aspx (03.02.2012).
  • Maden Tetkik ve Arama Genel Müdürlüğü. “General Directorate of Mineral Research and Exploration Turkish: Mudurlugu”. http://www.mta.gov.tr/v2.0/eng/index.php (03.02.2012). ve Arama Genel
  • ASTER GDEM. “The Advanced Spaceborne Thermal Emission and Reflection, Global Digital Elevation Model Data”. http://gdem.ersdac.jspacesystems.or.jp/ (03.02.2012).
  • Demirkesen AC. “Quantifying Geological Structures of the Nigde Province in Central Anatolia, Turkey Using SRTM DEM Data”. Environ Geology, 56(5), 865-875, 2009.
  • Demirkesen AC. “Multi-Risk Interpretation of Natural Hazards for Settlements of the Hatay Province in the East Mediterranean Region, Turkey Using SRTM DEM”. Environ Earth Science, 65(6), 1895-1907, 2012.
  • Arc GIS Web Page. “Arc GIS 10.1 Tutorial”. http://help.arcgis.com/en/arcgisdesktop/10.0/help/inde x.html#//00v20000000t000000.htm (18.01.2013).
  • Saaty TL. “How to Make a Decision: The Analytic Hierarchy Process”. European Journal of Operational Research, 48(1), 9-26, 1990. [31] Idrisi T. “16.0 http://www.clarklabs.org/ (04.04.2009). Manual Clark Labs”.
  • Yang X, Tang G, Zhang W, Zhu S. Accuracy Assessment of ASTER GDEM in North Shaanxi. Editor: Ruas A. Advances in Cartography and GIScience, 371-382, Berlin, Germany, Springer, 2011.

SENARYO TEMELLİ KARAYOLU ROTALARININ COĞRAFİ BİLGİ SİSTEMLERİ KULLANILARAK BELİRLENMESİ, SİMAV-KÜTAHYA ROTASI ÖRNEĞİ, TÜRKİYE

Yıl 2014, , 203 - 214, 01.06.2014

Umut Erdem

https://doi.org/10.5505/pajes.2014.85856

Öz

Ulaşım planlaması, şehir plancılarının optimum karayolu rotalarını belirlemelerinde rasyonel teknikler kullanımını gerektirmektedir. Bu gerekliliği sağlamak için, bu çalışma coğrafya bilgi sistemleri ve ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) sayısal yükseklik modelini kullanarak en az maliyetli ve en kısa senaryo temelli karayolu rotalarını Kütahya ve Simav kentleri arasında oluşturmayı ve mevcut rotalarla karşılaştırmayı amaçlamaktadır. En az maliyetli ve en kısa rotaları oluşturmak için seçilen çalışma alanı Orta Anadolu ile deniz ve limanlara sahip olan Ege bölgesi arasındaki geçiş bölgesinde yer almaktadır. Bu çalışmada kullanılan metodoloji üç bölümden oluşmaktadır. Birinci bölüm iki adımdan oluşmaktadır: (i) kullanılacak faktörlerin oluşturulması (ii) farklı ulaşım temalarına odaklanan senaryoların belirlenmesi. İkinci bölümde tüm faktörler senaryolara göre ağırlıklandırılmıştır. Üçüncü bölümde Least Cost Path analizi kullanılarak en az maliyetli ve en kısa rotalar oluşturulmuştur. Oluşturulan rotalar kendi aralarında ve ayrıca mevcuttaki rotalarla ağırlıklandırılan faktörlere göre değerlendirilmiştir.

Anahtar Kelimeler

Ulaşım Rota planlama Sayısal yükseklik modeli CBS Kütahya.

Kaynakça

  • Stefanakis E, Kavouras M. On the Determination of the Optimum Path in Space. Editors: Frank A, Kuhn W. Spatial Information Theory A Theoretical Basis for GIS Lecture Notes in Computer Science, 241-257, Berlin, Germany, Springer, 1995.
  • Kahn H, Wiener AJ. “The Next Thirty-Three Years: A Framework for Speculation”. Daedalus, 96(3), 705-732, 1967.
  • Wahle J, Bazzan ALC, Klügl F, Schreckenberg M. “The Impact of Real-Time Information in a Two-Route Scenario Using Agent-Based Simulation”. Transportation Research Part C: Emerging Technologies, 10(5–6), 399-417, 2002.
  • Lepofsky M, Abkowitz M, Cheng P. “Transportation Hazard Analysis in Integrated GIS Environment”. Journal of Transportation Engineering, 119(2), 239-254, 1993.
  • Keshkamat SS, Looijen JM, Zuidgeest MHP. “The Formulation and Evaluation of Transport Route Planning Alternatives: A Spatial Decision Support System for the Via Baltica Project, Poland”. Journal of Transport Geography, 17(1), 54-64, 2009.
  • Sadek S, Bedran M, Kaysi I. “GIS Platform for Multicriteria Evaluation Transportation Engineering, 125(2), 144-151, 1999.
  • List GF, Mirchandani PB, Turnquist MA, Zografos KG. “Modeling and Analysis for Hazardous Materials Transportation: Risk Analysis, Routing/Scheduling and Facility Location”. Transportation Science, 25(2), 100-114, 1991.
  • Niaraki AS, Kim K. “Ontology Based Personalized Route Planning System Using a Multi-Criteria Decision Making Approach”. Expert Systems with Applications 36(2), 2250- 2259, 2009.
  • Joerin F, Thériault M, Musy A. “Using GIS and Outranking Multicriteria Analysis Assessment”. International Journal of Geographical for Information Science, 15(2), 153-174, 2001. Land-Use Suitability
  • Malczewski J. GIS and Multicriteria Decision Analysis. New York, USA, J. Wiley&Sons, 1999.
  • Jankowski P. “Integrating Geographical Information Systems and Multiple Criteria Decision-Making Methods”. International Journal of Geographical Information Systems 9(3), 251-273, 1995.
  • Malczewski J. “GIS‐Based Multicriteria Decision Analysis: A Survey of the Literature”. International Journal of Geographical Information Science, 20(7), 703-726, 2006.
  • Jiang H, Eastman JR. “Application of Fuzzy Measures in Multi-Criteria Evaluation in GIS”. International Journal of Geographical Information Science, 14(2), 173-184, 2000.
  • Carver SJ. “Integrating Multi-Criteria Evaluation with Geographical Information Systems”. International Journal of Geographical Information Systems, 5(3), 321-339, 1991.
  • McHarg I. “Where Should Highways Go?”. Landscape Architecture, 57(3), 179-181, 1967.
  • Collischonn W, Pilar JV. “A Direction Dependent Least- Cost-Path Algorithm for Roads and Canals”. International Journal of Geographical Information Science, 14(4), 397-406, 2000.
  • Davies G, Whyatt D. “A Least-Cost Approach to Personal Exposure Reduction”. Transactions in GIS, 13(2), 229-246, 2009.
  • Gonçalves AB. “An Extension of GIS-Based Least-Cost Path Modelling to the Location of Wide Paths”. International Journal of Geographical Information Science, 24(7), 983-996, 2010.
  • Saha AK, Arora MK, Gupta RP, Virdi ML, Csaplovics E. “GIS‐Based Route Planning in Landslide‐Prone Areas”. International Journal of Geographical Information Science, 19(10), 1149-1175, 2005.
  • Atkinson DM, Deadman P, Dudycha D, Traynor S. “Multi- Criteria Evaluation and Least Cost Path Analysis for an Arctic All-Weather Road”. Applied Geography, 25(4), 287-307, 2005.
  • Jaga RMN, Sundaram A, Natarajan T. “Wasteland Development Using Geographic Information System Techniques”. International Journal of Remote Sensing, 14(17), 3249–3257, 1993.
  • Kütahya Governorship. “Information about Kütahya Province”.http://www.kutahya.gov.tr/tab_icerik.php?cat =tarih&lang=tr&id= (18.02.2013).
  • Mitchell WA, Glowatski EA. “A Geography of Kütahya Province, Turkey”. Air Force Academy Colorado Springs CO, Turkey, 1976.
  • GEODATA. “Republic of Turkey, Ministry of Forest and Water”. http://geodata.ormansu.gov.tr/3d/indexv5.aspx (03.02.2012).
  • Maden Tetkik ve Arama Genel Müdürlüğü. “General Directorate of Mineral Research and Exploration Turkish: Mudurlugu”. http://www.mta.gov.tr/v2.0/eng/index.php (03.02.2012). ve Arama Genel
  • ASTER GDEM. “The Advanced Spaceborne Thermal Emission and Reflection, Global Digital Elevation Model Data”. http://gdem.ersdac.jspacesystems.or.jp/ (03.02.2012).
  • Demirkesen AC. “Quantifying Geological Structures of the Nigde Province in Central Anatolia, Turkey Using SRTM DEM Data”. Environ Geology, 56(5), 865-875, 2009.
  • Demirkesen AC. “Multi-Risk Interpretation of Natural Hazards for Settlements of the Hatay Province in the East Mediterranean Region, Turkey Using SRTM DEM”. Environ Earth Science, 65(6), 1895-1907, 2012.
  • Arc GIS Web Page. “Arc GIS 10.1 Tutorial”. http://help.arcgis.com/en/arcgisdesktop/10.0/help/inde x.html#//00v20000000t000000.htm (18.01.2013).
  • Saaty TL. “How to Make a Decision: The Analytic Hierarchy Process”. European Journal of Operational Research, 48(1), 9-26, 1990. [31] Idrisi T. “16.0 http://www.clarklabs.org/ (04.04.2009). Manual Clark Labs”.
  • Yang X, Tang G, Zhang W, Zhu S. Accuracy Assessment of ASTER GDEM in North Shaanxi. Editor: Ruas A. Advances in Cartography and GIScience, 371-382, Berlin, Germany, Springer, 2011.
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makale
Yazarlar

Umut Erdem Bu kişi benim

Yayımlanma Tarihi 1 Haziran 2014
Yayımlandığı Sayı Yıl 2014

Kaynak Göster

APA Erdem, U. . (2014). DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 20(6), 203-214. https://doi.org/10.5505/pajes.2014.85856
AMA Erdem U. DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. Haziran 2014;20(6):203-214. doi:10.5505/pajes.2014.85856
Chicago Erdem, Umut. “DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 20, sy. 6 (Haziran 2014): 203-14. https://doi.org/10.5505/pajes.2014.85856.
EndNote Erdem U (01 Haziran 2014) DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 20 6 203–214.
IEEE U. . Erdem, “DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 20, sy. 6, ss. 203–214, 2014, doi: 10.5505/pajes.2014.85856.
ISNAD Erdem, Umut. “DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 20/6 (Haziran 2014), 203-214. https://doi.org/10.5505/pajes.2014.85856.
JAMA Erdem U. DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2014;20:203–214.
MLA Erdem, Umut. “DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 20, sy. 6, 2014, ss. 203-14, doi:10.5505/pajes.2014.85856.
Vancouver Erdem U. DETERMINING SCENARIO BASED HIGHWAY ROUTES USING GEOGRAPHIC INFORMATION SYSTEMS; A CASE STUDY OF SIMAV-KUTAHYA ROUTES, TURKEY. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2014;20(6):203-14.





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