Research Article
BibTex RIS Cite

Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example

Year 2024, Volume: 9 Issue: 1, 34 - 48, 15.02.2024

Ahmet Şirin Arzu Erener

https://doi.org/10.26833/ijeg.1261677

Abstract

Means of transportation are a large part of our daily life. Along with the development of technology, we encounter different types of vehicles, but we also encounter different problems. For electric scooters, which are one of the new types of vehicles that are seen to be used in vehicle traffic, it seems that there are question marks among the public about the use of vehicles and the rules. It is seen that the legal regulations and rules in this field are not sufficiently standardized in Turkey yet. Among these question marks, safety, comfort, and vehicle characteristics draw attention to which roads electric scooters should choose during their use. In the research, various applications and examinations were made on the parameters of the slope, road class, length of the road, and land cover, among the parameters considered in the optimal road preferences for electric scooters, where there is a starting point and an ending point. For the research, Dijkstra's Algorithm, QGIS GIS software, python programming language, and various modules were used to use the shortest path problem, cost calculations, and various data processing methods. These applications were compared within the Work titles and the effects of different parameters on the optimal route preferences were compared and discussed. The results of the research were discussed in terms of relevance, and it was determined what improvements could be added and what effects it could have on other research that could be done on this subject. As a result, it has been seen that the parameters in the research directly affect the results in the applications in different works, bringing diversity, and the expected results achieved. It has been determined that the addition of additional parameters such as the maximum distance or time that can be traveled for vehicles such as electric scooters, and the use of more sensitive and various sources will further develop this research and its importance in this type of research.

Keywords

GIS Python Network Analysis Shortest Path Electric Scooter

References

  • Güneri, Ö. İ., & Durmuş, B. (2020). Classical and heuristic algorithms used in solving the shortest path problem and time complexity. Konuralp Journal of Mathematics, 8(2), 279-283.
  • Arslan, H., & Manguoğlu, M. (2019). A hybrid single-source shortest path algorithm. Turkish Journal of Electrical Engineering and Computer Sciences, 27(4), 2636-2647. https://doi.org/10.3906/elk-1901-23
  • Madkour, A., Aref, W. G., Rehman, F. U., Rahman, M. A., & Basalamah, S. (2017). A survey of shortest-path algorithms. Data Structures and Algorithms. https://doi.org/10.48550/arXiv.1705.02044
  • Park, K., & Yilmaz, A. (2010). A social network analysis approach to analyze road networks. ASPRS Annual Conference. San Diego, CA, 1-6.
  • Morova, N., Şener, E., & Terzi, S. (2011). Coğrafi bilgi sistemleri ile Isparta İli 112 ambulans istasyonlarının hizmet alanlarının sorgulanması ve optimum yol güzergâhlarının belirlenmesi. Uluslararası Teknolojik Bilimler Dergisi, 3(3), 1-13.
  • Swapan, P. A. U. L. (2022). Change detection and future change prediction in Habra I and II block using remote sensing and GIS–A case study. International Journal of Engineering and Geosciences, 7(2), 191-207. https://doi.org/10.26833/ijeg.975222
  • Küçük, K., & Anbaroğlu, B. (2019). OpenStreetMap Binalarının Mekansal Doğruluğunun Analiz Edilmesi. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 1(1), 5-13.
  • OpenStreetMap Data License (2023). https://blog.openstreetmap.org/2012/09/12/openstreetmap-data-license-is-odbl
  • OpenStreetMap Routing (2023). https://wiki.openstreetmap.org/wiki/Routing
  • ArcGIS Pro Python (2023). https://pro.arcgis.com/en/pro-app/latest/arcpy/main/arcgis-pro-arcpy-reference.htm
  • Python 3.x.x (2023). https://docs.python.org/3/
  • Ünverdi, A. B., & Şişman, A. (2021). Elektrik Dağıtım Sistemlerinde Kesintilerden Etkilenen Kullanıcıların CBS Entegrasyonu ile Raporlanmasına Yönelik Bir Uygulama Geliştirilmesi. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 3(2), 53-59.
  • Temiz, H. (2022). Recording Performances of Some File Types for Pandas Data. Avrupa Bilim ve Teknoloji Dergisi, (36), 55-60. https://doi.org/10.31590/ejosat.1103499
  • GeoPandas (2023). https://geopandas.org
  • Ghen, Q. (2020). The Hotspot Technologies and Cutting-edge Technologies of Organic Solar Cells. International Journal of Engineering Science and Application, 4(2), 52-58.
  • OSMnx (2023). https://osmnx.readthedocs.io/
  • Sarı, F., & Koyuncu, F. (2021). Multi criteria decision analysis to determine the suitability of agricultural crops for land consolidation areas. International Journal of Engineering and Geosciences, 6(2), 64-73. https://doi.org/10.26833/ijeg.683754
  • Sarı, F., & Sen, M. (2017). Least cost path algorithm design for highway route selection. International Journal of Engineering and Geosciences, 2(1), 1-8. https://doi.org/10.26833/ijeg.285770
  • Akay, A. E., & İnanç, T. A. Ş. (2021). Using GIS techniques for assessment of accessible forest lands by firefighting teams considering fire risk degrees. European Journal of Forest Engineering, 6(2), 87-95. https://doi.org/10.33904/ejfe.843889
  • Sert, E., Osmanli, N., Eruc, R., & Mevlüt, U. Y. A. N. (2017). Determination of transportation networks base on the optimal public transportation policy using spatial and network analysis methods: a case of the Konya, Turkey. International Journal of Engineering and Geosciences, 2(1), 27-34. https://doi.org/10.26833/ijeg.286034
  • Demirkol, Ö., & Demirkol, A. (2003). Dıjkstra ve Bellman-Ford en kısa yol algoritmalarının karşılaştırılması. Sakarya University Journal of Science, 7(3), 55-62.
  • Özdemir, S., Sacar, Ö., & Özcan, E. (2021). Dijkstra algoritması kullanılarak ipek yolu koridorları arasında en kısa ulaştırma güzergâhının belirlenmesi. Demiryolu Mühendisliği, (13), 97-105. https://doi.org/10.47072/demiryolu.811572
  • Gökcan, A. O., Çöteli, R., & Tanyıldızı, E. (2020). The shortest road algorithm approach in determining the route of solid waste collection vehicles: The case of Manisa 75. Yıl Neighborhood. Turkish Journal of Science and Technology, 15(1), 29-35.
  • Plynning, E. (2016). Route planning using multiple attributes: Finding routes other than the shortest for bicycles. [Student thesis, KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics].
  • Digital Elevation Data (2023). http://viewfinderpanoramas.org/dem3.html
  • Yakar, M., Kuşak, L., Ünel, F. B., & İban, M. C. (2020). Surveyıng: A Comprehensive Guide to Geomatics Engineering Applications. Mersin Üniversitesi Harita Mühendisliği Kitapları.
  • Yakar, M. (2009). Digital elevation model generation by robotic total station instrument. Experimental Techniques, 33, 52-59. https://doi.org/10.1111/j.1747-1567.2008.00375.x
  • ESRI Sentinel-2 10m Land Use/Land Cover Timeseries Downloader (2023). https://www.arcgis.com/apps/instant/media/index.html?appid=fc92d38533d440078f17678ebc20e8e2
  • Efe, E., & Alganci, U. (2023). Çok zamanlı Sentinel 2 uydu görüntüleri ve makine öğrenmesi tabanlı algoritmalar ile arazi örtüsü değişiminin belirlenmesi. Geomatik, 8(1), 27-34. https://doi.org/10.29128/geomatik.1092838
  • Türk, S. T., & Balçık, F. (2023). Rastgele orman algoritması ve Sentinel-2 MSI ile fındık ekili alanların belirlenmesi: Piraziz Örneği. Geomatik, 8(2), 91-98. https://doi.org/10.29128/geomatik.1127925
  • Tirmanoğlu, B., Ismailoğlu, I., Kokal, A. T., & Musaoğlu, N. (2023). Yeni nesil multispektral ve hiperspektral uydu görüntülerinin arazi örtüsü/arazi kullanımı sınıflandırma performanslarının karşılaştırılması: Sentinel-2 ve PRISMA Uydusu. Geomatik, 8(1), 79-90. https://doi.org/10.29128/geomatik.1126685
  • Yakup, A. E., & Ayazli, I. E. (2022). Investigating changes in land cover in high-density settlement areas by protected scenario. International Journal of Engineering and Geosciences, 7(1), 1-8. https://doi.org/10.26833/ijeg.850247
  • Sefercik, U. G., Kavzoğlu, T., Çölkesen, I., Nazar, M., Öztürk, M. Y., Adali, S., & Dinç, S. (2023). 3D positioning accuracy and land cover classification performance of multispectral RTK UAVs. International Journal of Engineering and Geosciences, 8(2), 119-128. https://doi.org/10.26833/ijeg.1074791
  • Soysal, Ö. M., Schneider, H., Shrestha, A., Guempel, C. D., Li, P., Donepudi, H., ... & Sekeroglu, K. (2012). Zonal statistics to identify hot-regions of traffic accidents. In Proceedings of the International Conference on Modeling, Simulation and Visualization Methods (MSV) (p. 1). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
  • Esri 2020 Land Cover (Mature Support) (2023). https://www.arcgis.com/home/item.html?id=d6642f8a4f6d4685a24ae2dc0c73d4ac

Year 2024, Volume: 9 Issue: 1, 34 - 48, 15.02.2024

Ahmet Şirin Arzu Erener

https://doi.org/10.26833/ijeg.1261677

Abstract

References

  • Güneri, Ö. İ., & Durmuş, B. (2020). Classical and heuristic algorithms used in solving the shortest path problem and time complexity. Konuralp Journal of Mathematics, 8(2), 279-283.
  • Arslan, H., & Manguoğlu, M. (2019). A hybrid single-source shortest path algorithm. Turkish Journal of Electrical Engineering and Computer Sciences, 27(4), 2636-2647. https://doi.org/10.3906/elk-1901-23
  • Madkour, A., Aref, W. G., Rehman, F. U., Rahman, M. A., & Basalamah, S. (2017). A survey of shortest-path algorithms. Data Structures and Algorithms. https://doi.org/10.48550/arXiv.1705.02044
  • Park, K., & Yilmaz, A. (2010). A social network analysis approach to analyze road networks. ASPRS Annual Conference. San Diego, CA, 1-6.
  • Morova, N., Şener, E., & Terzi, S. (2011). Coğrafi bilgi sistemleri ile Isparta İli 112 ambulans istasyonlarının hizmet alanlarının sorgulanması ve optimum yol güzergâhlarının belirlenmesi. Uluslararası Teknolojik Bilimler Dergisi, 3(3), 1-13.
  • Swapan, P. A. U. L. (2022). Change detection and future change prediction in Habra I and II block using remote sensing and GIS–A case study. International Journal of Engineering and Geosciences, 7(2), 191-207. https://doi.org/10.26833/ijeg.975222
  • Küçük, K., & Anbaroğlu, B. (2019). OpenStreetMap Binalarının Mekansal Doğruluğunun Analiz Edilmesi. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 1(1), 5-13.
  • OpenStreetMap Data License (2023). https://blog.openstreetmap.org/2012/09/12/openstreetmap-data-license-is-odbl
  • OpenStreetMap Routing (2023). https://wiki.openstreetmap.org/wiki/Routing
  • ArcGIS Pro Python (2023). https://pro.arcgis.com/en/pro-app/latest/arcpy/main/arcgis-pro-arcpy-reference.htm
  • Python 3.x.x (2023). https://docs.python.org/3/
  • Ünverdi, A. B., & Şişman, A. (2021). Elektrik Dağıtım Sistemlerinde Kesintilerden Etkilenen Kullanıcıların CBS Entegrasyonu ile Raporlanmasına Yönelik Bir Uygulama Geliştirilmesi. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 3(2), 53-59.
  • Temiz, H. (2022). Recording Performances of Some File Types for Pandas Data. Avrupa Bilim ve Teknoloji Dergisi, (36), 55-60. https://doi.org/10.31590/ejosat.1103499
  • GeoPandas (2023). https://geopandas.org
  • Ghen, Q. (2020). The Hotspot Technologies and Cutting-edge Technologies of Organic Solar Cells. International Journal of Engineering Science and Application, 4(2), 52-58.
  • OSMnx (2023). https://osmnx.readthedocs.io/
  • Sarı, F., & Koyuncu, F. (2021). Multi criteria decision analysis to determine the suitability of agricultural crops for land consolidation areas. International Journal of Engineering and Geosciences, 6(2), 64-73. https://doi.org/10.26833/ijeg.683754
  • Sarı, F., & Sen, M. (2017). Least cost path algorithm design for highway route selection. International Journal of Engineering and Geosciences, 2(1), 1-8. https://doi.org/10.26833/ijeg.285770
  • Akay, A. E., & İnanç, T. A. Ş. (2021). Using GIS techniques for assessment of accessible forest lands by firefighting teams considering fire risk degrees. European Journal of Forest Engineering, 6(2), 87-95. https://doi.org/10.33904/ejfe.843889
  • Sert, E., Osmanli, N., Eruc, R., & Mevlüt, U. Y. A. N. (2017). Determination of transportation networks base on the optimal public transportation policy using spatial and network analysis methods: a case of the Konya, Turkey. International Journal of Engineering and Geosciences, 2(1), 27-34. https://doi.org/10.26833/ijeg.286034
  • Demirkol, Ö., & Demirkol, A. (2003). Dıjkstra ve Bellman-Ford en kısa yol algoritmalarının karşılaştırılması. Sakarya University Journal of Science, 7(3), 55-62.
  • Özdemir, S., Sacar, Ö., & Özcan, E. (2021). Dijkstra algoritması kullanılarak ipek yolu koridorları arasında en kısa ulaştırma güzergâhının belirlenmesi. Demiryolu Mühendisliği, (13), 97-105. https://doi.org/10.47072/demiryolu.811572
  • Gökcan, A. O., Çöteli, R., & Tanyıldızı, E. (2020). The shortest road algorithm approach in determining the route of solid waste collection vehicles: The case of Manisa 75. Yıl Neighborhood. Turkish Journal of Science and Technology, 15(1), 29-35.
  • Plynning, E. (2016). Route planning using multiple attributes: Finding routes other than the shortest for bicycles. [Student thesis, KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics].
  • Digital Elevation Data (2023). http://viewfinderpanoramas.org/dem3.html
  • Yakar, M., Kuşak, L., Ünel, F. B., & İban, M. C. (2020). Surveyıng: A Comprehensive Guide to Geomatics Engineering Applications. Mersin Üniversitesi Harita Mühendisliği Kitapları.
  • Yakar, M. (2009). Digital elevation model generation by robotic total station instrument. Experimental Techniques, 33, 52-59. https://doi.org/10.1111/j.1747-1567.2008.00375.x
  • ESRI Sentinel-2 10m Land Use/Land Cover Timeseries Downloader (2023). https://www.arcgis.com/apps/instant/media/index.html?appid=fc92d38533d440078f17678ebc20e8e2
  • Efe, E., & Alganci, U. (2023). Çok zamanlı Sentinel 2 uydu görüntüleri ve makine öğrenmesi tabanlı algoritmalar ile arazi örtüsü değişiminin belirlenmesi. Geomatik, 8(1), 27-34. https://doi.org/10.29128/geomatik.1092838
  • Türk, S. T., & Balçık, F. (2023). Rastgele orman algoritması ve Sentinel-2 MSI ile fındık ekili alanların belirlenmesi: Piraziz Örneği. Geomatik, 8(2), 91-98. https://doi.org/10.29128/geomatik.1127925
  • Tirmanoğlu, B., Ismailoğlu, I., Kokal, A. T., & Musaoğlu, N. (2023). Yeni nesil multispektral ve hiperspektral uydu görüntülerinin arazi örtüsü/arazi kullanımı sınıflandırma performanslarının karşılaştırılması: Sentinel-2 ve PRISMA Uydusu. Geomatik, 8(1), 79-90. https://doi.org/10.29128/geomatik.1126685
  • Yakup, A. E., & Ayazli, I. E. (2022). Investigating changes in land cover in high-density settlement areas by protected scenario. International Journal of Engineering and Geosciences, 7(1), 1-8. https://doi.org/10.26833/ijeg.850247
  • Sefercik, U. G., Kavzoğlu, T., Çölkesen, I., Nazar, M., Öztürk, M. Y., Adali, S., & Dinç, S. (2023). 3D positioning accuracy and land cover classification performance of multispectral RTK UAVs. International Journal of Engineering and Geosciences, 8(2), 119-128. https://doi.org/10.26833/ijeg.1074791
  • Soysal, Ö. M., Schneider, H., Shrestha, A., Guempel, C. D., Li, P., Donepudi, H., ... & Sekeroglu, K. (2012). Zonal statistics to identify hot-regions of traffic accidents. In Proceedings of the International Conference on Modeling, Simulation and Visualization Methods (MSV) (p. 1). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
  • Esri 2020 Land Cover (Mature Support) (2023). https://www.arcgis.com/home/item.html?id=d6642f8a4f6d4685a24ae2dc0c73d4ac
There are 35 citations in total.

Details

Primary Language English
Subjects Geomatic Engineering (Other)
Journal Section Research Article
Authors

Ahmet Şirin 0000-0003-0459-2421

Arzu Erener 0000-0002-9168-4254

Early Pub Date January 2, 2024
Publication Date February 15, 2024
Published in Issue Year 2024 Volume: 9 Issue: 1

Cite

APA Şirin, A., & Erener, A. (2024). Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example. International Journal of Engineering and Geosciences, 9(1), 34-48. https://doi.org/10.26833/ijeg.1261677
AMA Şirin A, Erener A. Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example. IJEG. February 2024;9(1):34-48. doi:10.26833/ijeg.1261677
Chicago Şirin, Ahmet, and Arzu Erener. “Python-Based Evaluation of Road Network Constraints for Electric Scooters and Bicycles: Izmit Example”. International Journal of Engineering and Geosciences 9, no. 1 (February 2024): 34-48. https://doi.org/10.26833/ijeg.1261677.
EndNote Şirin A, Erener A (February 1, 2024) Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example. International Journal of Engineering and Geosciences 9 1 34–48.
IEEE A. Şirin and A. Erener, “Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example”, IJEG, vol. 9, no. 1, pp. 34–48, 2024, doi: 10.26833/ijeg.1261677.
ISNAD Şirin, Ahmet - Erener, Arzu. “Python-Based Evaluation of Road Network Constraints for Electric Scooters and Bicycles: Izmit Example”. International Journal of Engineering and Geosciences 9/1 (February 2024), 34-48. https://doi.org/10.26833/ijeg.1261677.
JAMA Şirin A, Erener A. Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example. IJEG. 2024;9:34–48.
MLA Şirin, Ahmet and Arzu Erener. “Python-Based Evaluation of Road Network Constraints for Electric Scooters and Bicycles: Izmit Example”. International Journal of Engineering and Geosciences, vol. 9, no. 1, 2024, pp. 34-48, doi:10.26833/ijeg.1261677.
Vancouver Şirin A, Erener A. Python-based evaluation of road network constraints for electric scooters and bicycles: Izmit Example. IJEG. 2024;9(1):34-48.