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Year 2020, Volume: 15 Issue: 1, 19 - 28, 03.03.2020

Abstract

References

  • [1] United Nations. World Urbanization Prospects: The 2003 Revision. New York, USA: United Nations Publication, 2004.
  • [2] Demir K, Çabuk S. The population growht of metropolitan cities in Turkey. Erciyes University Journal of Social Sciences Institute 2010; 28(1): 193-215.
  • [3] United Nations. World Urbanization Prospects: The 2014 Revision. New York, USA: United Nations Publication, 2014.
  • [4] Gupta K, Roy A, Luthra K, Maithani S, Mahavir. Gis based analysis for assessing the accessibility at hierarchical levels of urban green spaces. Urban for Urban Gree 2016; 18: 198-211.
  • [5] Turkish Statistical Institute. Address based population registration system results, 2019. http://www.turkstat.gov.tr Accessed 12 December 2019.
  • [6] Pedroso G, Bermann G, Sanches-Pereira A. Combining the functional unit concept and the analytic hierarchy process method for performance assessment of public transport options. Case Studies on Transport Policy 2018; 6: 722-736.
  • [7] Wei F, Lovegrove G. An empirical tool to evaluate the safety of cyclists: Community based, macro level collision prediction models using negative binomial regression. Accident Analysis & Prevention 2013; 61: 129-137.
  • [8] Saplıoğlu M, Yüzer Günay E. Investigating the effective parameters of safe bicycle route by using a survey study. Sigma Journal of Engineering and Natural Sciences 2016; 7(1): 89-96.
  • [9] Black WR. Sustainable transportation: A us perspective. Journal of Transport Geography 1996; 4(3): 151-159.
  • [10] Rybarczyk G, Wu C. Bicycle facility planning using gis and multi-criteria decision analysis. Applied Geography 2010; 30: 282-293.
  • [11] Mohit MA, Ali MM. Integrating gis and ahp for land suitability analysis for urban development in a secondary city of Bangladesh. Journal Alam Bina Jilid 2006; 8(1): 1-20.
  • [12] Stojkovic S, Ðurdic S, Andelkovic G. Application of multi-criteria analysis and gis in ecotourism development (case study: Serbian Danube region). Glasnik Srpskog Geografskog Društva 2015; 95(1): 51-66.
  • [13] Serbu R, Marza B, Borza S. A spatial analytic hierarchy process for ıdentification of water pollution with gis software in an eco-economy environment. Sustainability 2016; 8(11): 1-25.
  • [14] Olgun R, Yılmaz T. Determination of ecologically suitable settlement areas by using gis based multi-criteria decision making analysis: The case of Nigde province. Fresen Environ Bull 2019; 28(5): 3768-3777.
  • [15] Snyder SA, Whitmore JH, Schneider IE, Becker DR. Ecological criteria, participant preferences and location models: A gis approach toward atv trail planning. Applied Geography 2008; 28(4): 248-258.
  • [16] Angelis DI, Lee CY. Strategic investment analysis using activity based costing concepts and analytical hierarchy process techniques. Int J Prod Res 1996; 34(5): 1331-1345.
  • [17] Işıklar G, Büyüközkan G. Using a multi-criteria decision making approach to evaluate mobile phone alternatives. Computer Standards and Interfaces 2007; 29(2): 265-274.
  • [18] Huang TCK, Chen YL, Chang TH. A novel summarization technique for the support of resolving multicriteria decision making problems. Decis Support Syst 2015; 79: 109-124.
  • [19] Goepel KD. Comparison of judgment scales of the analytical hierarchy process-a new approach. International Journal of Information Technology and Decision Making 2017; 18(2): 445-463.
  • [20] Saaty TL. Transport planning with multiple criteria: The analytic hierarchy process applications and progress review. J Adv Transport 1995; 29(1): 81-126.
  • [21] Ludin A, Latip S. Using multi-criteria analysis to identify suitable light rail transit route. Jurnal Alam Bina 2007; 9(1): 131-142.
  • [22] Pogarcic I, Francic M, Davidovic V. Application of ahp method in traffic planning. 16th International Symposium on Electronics in Transport; 9-10 October 2008; Ljubljana, Slovenia. pp. 1-8.
  • [23] Orman A, Düzkaya H, Ulvi H, Akdemir F. Multi-criteria evaluation by means of using the analytic hierarchy process in transportation master plans: Scenario selection in the transportation master plan of Ankara. Gazi University Journal of Science 2018; 31(2): 381-397.
  • [24] Duleba SZ, Mishina T, Shimazaki J. An analysis of the public transport’s supply quality by using the analytic hierarchy process. JOMSA Conference Papers, Osaka, Japan, 2010.
  • [25] Nassi CD, Costa FC. Use of the analytic hierarchy process to evaluate transit fare system. Research in Transportation Economics, 2012; 36(1): 50-62.
  • [26] Taşkın B. Wind power plants installed in Nigde physical and economic analysis. MSc, Nigde University, Nigde, Turkey, 2013.
  • [27] Altay, Ö. Investigation of heavy metal content of soil from Nigde city. MSc, Erciyes University, Kayseri, Turkey, 2016.
  • [28] Olgun, R. Determination of strategic objectives and development of planning strategies for open and green spaces of Nigde city. Ph.d. Thesis, Akdeniz University, Antalya, Turkey, 2018.
  • [29] Vaidya OS, Kumar S. Analytic hierarchy process: An overview of applications. Eur J Oper Res 2006; 169: 1-29. [30] Çol Yılmaz D, Gerçek H. Prioritization of integrated bicycle network clusters in Istanbul using analytic hierarchy process. Pamukkale University Journal of Engineering Sciences 2014; 20(6): 215-224. [31] Görener Ö. A swot-ahp approach for assessment of medical tourism sector in Turkey. Alphanumeric Journal 2016; 4(2): 159-170. [32] Saaty TL. Decision making with the analytic hierarchy process. International Journal Services Sciences 2008; 1(1): 83-98. [33] Aydi A, Abichou T, Nasr IH, Louati M, Zairi M. Assessment of land suitability for olive mill wastewater disposal site selection by integrating fuzzy logic, ahp, and wlc in a gis. Environ Monit Assess 2016; 188: 59.
  • [34] Wind Y, Saaty TL. Marketing applications of the analytic hierarchy process. Manage Sci 1980; 26: 641-658.
  • [35] Özdemir Işık B, Demir S. Integrated multi-criteria decision-making methods for the sustainability of historical-cultural structures on the Trabzon coastline. Sustainability 2017; 9(11): 2114.
  • [36] Zare K, Mehri-Tekmeh J, Karimi S. A swot framework for analyzing the electricity supply chain using an integrated ahp methodology combined with fuzzy-topsis. International Strategic Management Review 2015; 3(1-2): 66-80.
  • [37] Qashqo B. Gis-based multi-criteria decision analysis for identifying water distribution points: A case study in Lapilang & Suspa regions, Nepal. MSc, University of Salzburg, Vienna, 2018.
  • [38] Buehler R, Pucher J. Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes. Transportation 2012; 39: 409-432.
  • [39] Forsyth A, Krizek K. Urban design: Is there a distinctive view from the bicycle? Journal of Urban Design 2011; 16(4): 531-549.
  • [40] Willis DP, Manaugh K, El-Geneidy A. Uniquely satisfied: Exploring cyclist satisfaction. Transportation Research 2013; 18: 136-147.
  • [41] Fraser SD, Lock K. Cycling for transport and public health: a systematic review of the effect of the environment on cycling. The European Jounal of Public Health 2011; 21(6): 738-43.
  • [42] Iseki H, Tingstrom M. A gis bikeability/bikeshed analysis incorporating topography, street network and street connectivity. The 13th World Conference on Transport Research; 15-18 July 2013; Rio de Janeiro, Brazil. pp. 1-20.
  • [43] Saplıoğlu M, Aydın MM. Choosing safe and suitable bicycle routes to integrate cycling and public transport systems. Journal of Transport & Health 2018; 10: 236-252. [44] Polat ZA, Memduhoğlu A, Hacar M, Duman H. Determining The relationship between urban growth and motor vehicle traffic: Istanbul case study. Omer Halisdemir University Journal of Engineering Sciences 2017; 6(2): 442-451. [45] Çetinkaya Karafakı F. The effects of Nigde city center's active green areas to the quality of urban life. Turkish Journal of Agricultural and Natural Sciences 2016; 3(3): 184-191.
  • [46] Lin JJ, Liao RY. Sustainability sı: Bikeway network design model for recreational bicycling in scenic areas. Networks and Spatial Economics 2016; 16(1): 9-31.

Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey

Year 2020, Volume: 15 Issue: 1, 19 - 28, 03.03.2020

Abstract

The world's population is increasing rapidly and consequently, urban areas are also expanding and developing rapidly. This growth and development in cities leads to the differentiation of urban transportation systems and, in particular, the increase in the number of motor vehicles. This increase in the number of motor vehicles in order to provide transportation leads to many problems. In order to prevent these problems, many researchers and decision makers state that sustainable transportation systems such as public transportation, walking and cycling should be used. The objective of the research is to develop a sustainable bike path proposal for cities through GIS-based multicriteria decision-making analysis, taking into account physical, environmental and visual factors of medium-sized cities. In this context, the physical, environmental and visual factors of the city of Nigde, Turkey, which is considered to be a medium-sized city, were evaluated with GIS-based multicriteria decision-making analysis, and a sustainable bike path proposal was developed for Nigde according to the zoning plans.

References

  • [1] United Nations. World Urbanization Prospects: The 2003 Revision. New York, USA: United Nations Publication, 2004.
  • [2] Demir K, Çabuk S. The population growht of metropolitan cities in Turkey. Erciyes University Journal of Social Sciences Institute 2010; 28(1): 193-215.
  • [3] United Nations. World Urbanization Prospects: The 2014 Revision. New York, USA: United Nations Publication, 2014.
  • [4] Gupta K, Roy A, Luthra K, Maithani S, Mahavir. Gis based analysis for assessing the accessibility at hierarchical levels of urban green spaces. Urban for Urban Gree 2016; 18: 198-211.
  • [5] Turkish Statistical Institute. Address based population registration system results, 2019. http://www.turkstat.gov.tr Accessed 12 December 2019.
  • [6] Pedroso G, Bermann G, Sanches-Pereira A. Combining the functional unit concept and the analytic hierarchy process method for performance assessment of public transport options. Case Studies on Transport Policy 2018; 6: 722-736.
  • [7] Wei F, Lovegrove G. An empirical tool to evaluate the safety of cyclists: Community based, macro level collision prediction models using negative binomial regression. Accident Analysis & Prevention 2013; 61: 129-137.
  • [8] Saplıoğlu M, Yüzer Günay E. Investigating the effective parameters of safe bicycle route by using a survey study. Sigma Journal of Engineering and Natural Sciences 2016; 7(1): 89-96.
  • [9] Black WR. Sustainable transportation: A us perspective. Journal of Transport Geography 1996; 4(3): 151-159.
  • [10] Rybarczyk G, Wu C. Bicycle facility planning using gis and multi-criteria decision analysis. Applied Geography 2010; 30: 282-293.
  • [11] Mohit MA, Ali MM. Integrating gis and ahp for land suitability analysis for urban development in a secondary city of Bangladesh. Journal Alam Bina Jilid 2006; 8(1): 1-20.
  • [12] Stojkovic S, Ðurdic S, Andelkovic G. Application of multi-criteria analysis and gis in ecotourism development (case study: Serbian Danube region). Glasnik Srpskog Geografskog Društva 2015; 95(1): 51-66.
  • [13] Serbu R, Marza B, Borza S. A spatial analytic hierarchy process for ıdentification of water pollution with gis software in an eco-economy environment. Sustainability 2016; 8(11): 1-25.
  • [14] Olgun R, Yılmaz T. Determination of ecologically suitable settlement areas by using gis based multi-criteria decision making analysis: The case of Nigde province. Fresen Environ Bull 2019; 28(5): 3768-3777.
  • [15] Snyder SA, Whitmore JH, Schneider IE, Becker DR. Ecological criteria, participant preferences and location models: A gis approach toward atv trail planning. Applied Geography 2008; 28(4): 248-258.
  • [16] Angelis DI, Lee CY. Strategic investment analysis using activity based costing concepts and analytical hierarchy process techniques. Int J Prod Res 1996; 34(5): 1331-1345.
  • [17] Işıklar G, Büyüközkan G. Using a multi-criteria decision making approach to evaluate mobile phone alternatives. Computer Standards and Interfaces 2007; 29(2): 265-274.
  • [18] Huang TCK, Chen YL, Chang TH. A novel summarization technique for the support of resolving multicriteria decision making problems. Decis Support Syst 2015; 79: 109-124.
  • [19] Goepel KD. Comparison of judgment scales of the analytical hierarchy process-a new approach. International Journal of Information Technology and Decision Making 2017; 18(2): 445-463.
  • [20] Saaty TL. Transport planning with multiple criteria: The analytic hierarchy process applications and progress review. J Adv Transport 1995; 29(1): 81-126.
  • [21] Ludin A, Latip S. Using multi-criteria analysis to identify suitable light rail transit route. Jurnal Alam Bina 2007; 9(1): 131-142.
  • [22] Pogarcic I, Francic M, Davidovic V. Application of ahp method in traffic planning. 16th International Symposium on Electronics in Transport; 9-10 October 2008; Ljubljana, Slovenia. pp. 1-8.
  • [23] Orman A, Düzkaya H, Ulvi H, Akdemir F. Multi-criteria evaluation by means of using the analytic hierarchy process in transportation master plans: Scenario selection in the transportation master plan of Ankara. Gazi University Journal of Science 2018; 31(2): 381-397.
  • [24] Duleba SZ, Mishina T, Shimazaki J. An analysis of the public transport’s supply quality by using the analytic hierarchy process. JOMSA Conference Papers, Osaka, Japan, 2010.
  • [25] Nassi CD, Costa FC. Use of the analytic hierarchy process to evaluate transit fare system. Research in Transportation Economics, 2012; 36(1): 50-62.
  • [26] Taşkın B. Wind power plants installed in Nigde physical and economic analysis. MSc, Nigde University, Nigde, Turkey, 2013.
  • [27] Altay, Ö. Investigation of heavy metal content of soil from Nigde city. MSc, Erciyes University, Kayseri, Turkey, 2016.
  • [28] Olgun, R. Determination of strategic objectives and development of planning strategies for open and green spaces of Nigde city. Ph.d. Thesis, Akdeniz University, Antalya, Turkey, 2018.
  • [29] Vaidya OS, Kumar S. Analytic hierarchy process: An overview of applications. Eur J Oper Res 2006; 169: 1-29. [30] Çol Yılmaz D, Gerçek H. Prioritization of integrated bicycle network clusters in Istanbul using analytic hierarchy process. Pamukkale University Journal of Engineering Sciences 2014; 20(6): 215-224. [31] Görener Ö. A swot-ahp approach for assessment of medical tourism sector in Turkey. Alphanumeric Journal 2016; 4(2): 159-170. [32] Saaty TL. Decision making with the analytic hierarchy process. International Journal Services Sciences 2008; 1(1): 83-98. [33] Aydi A, Abichou T, Nasr IH, Louati M, Zairi M. Assessment of land suitability for olive mill wastewater disposal site selection by integrating fuzzy logic, ahp, and wlc in a gis. Environ Monit Assess 2016; 188: 59.
  • [34] Wind Y, Saaty TL. Marketing applications of the analytic hierarchy process. Manage Sci 1980; 26: 641-658.
  • [35] Özdemir Işık B, Demir S. Integrated multi-criteria decision-making methods for the sustainability of historical-cultural structures on the Trabzon coastline. Sustainability 2017; 9(11): 2114.
  • [36] Zare K, Mehri-Tekmeh J, Karimi S. A swot framework for analyzing the electricity supply chain using an integrated ahp methodology combined with fuzzy-topsis. International Strategic Management Review 2015; 3(1-2): 66-80.
  • [37] Qashqo B. Gis-based multi-criteria decision analysis for identifying water distribution points: A case study in Lapilang & Suspa regions, Nepal. MSc, University of Salzburg, Vienna, 2018.
  • [38] Buehler R, Pucher J. Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes. Transportation 2012; 39: 409-432.
  • [39] Forsyth A, Krizek K. Urban design: Is there a distinctive view from the bicycle? Journal of Urban Design 2011; 16(4): 531-549.
  • [40] Willis DP, Manaugh K, El-Geneidy A. Uniquely satisfied: Exploring cyclist satisfaction. Transportation Research 2013; 18: 136-147.
  • [41] Fraser SD, Lock K. Cycling for transport and public health: a systematic review of the effect of the environment on cycling. The European Jounal of Public Health 2011; 21(6): 738-43.
  • [42] Iseki H, Tingstrom M. A gis bikeability/bikeshed analysis incorporating topography, street network and street connectivity. The 13th World Conference on Transport Research; 15-18 July 2013; Rio de Janeiro, Brazil. pp. 1-20.
  • [43] Saplıoğlu M, Aydın MM. Choosing safe and suitable bicycle routes to integrate cycling and public transport systems. Journal of Transport & Health 2018; 10: 236-252. [44] Polat ZA, Memduhoğlu A, Hacar M, Duman H. Determining The relationship between urban growth and motor vehicle traffic: Istanbul case study. Omer Halisdemir University Journal of Engineering Sciences 2017; 6(2): 442-451. [45] Çetinkaya Karafakı F. The effects of Nigde city center's active green areas to the quality of urban life. Turkish Journal of Agricultural and Natural Sciences 2016; 3(3): 184-191.
  • [46] Lin JJ, Liao RY. Sustainability sı: Bikeway network design model for recreational bicycling in scenic areas. Networks and Spatial Economics 2016; 16(1): 9-31.
There are 40 citations in total.

Details

Primary Language English
Journal Section TJST
Authors

Rifat Olgun 0000-0002-5396-057X

Publication Date March 3, 2020
Submission Date January 28, 2020
Published in Issue Year 2020 Volume: 15 Issue: 1

Cite

APA Olgun, R. (2020). Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey. Turkish Journal of Science and Technology, 15(1), 19-28.
AMA Olgun R. Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey. TJST. March 2020;15(1):19-28.
Chicago Olgun, Rifat. “Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey”. Turkish Journal of Science and Technology 15, no. 1 (March 2020): 19-28.
EndNote Olgun R (March 1, 2020) Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey. Turkish Journal of Science and Technology 15 1 19–28.
IEEE R. Olgun, “Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey”, TJST, vol. 15, no. 1, pp. 19–28, 2020.
ISNAD Olgun, Rifat. “Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey”. Turkish Journal of Science and Technology 15/1 (March 2020), 19-28.
JAMA Olgun R. Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey. TJST. 2020;15:19–28.
MLA Olgun, Rifat. “Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey”. Turkish Journal of Science and Technology, vol. 15, no. 1, 2020, pp. 19-28.
Vancouver Olgun R. Sustainable Bicycle Path Planning for Medium-Sized Cities by Using GIS-Based Multicriteria Decision-Making Analysis: A Case Study From Turkey. TJST. 2020;15(1):19-28.