Modern geospatial technologies and permanently updated wildfire monitoring datasets are the basis of improving forest firefighting on different administrative scales. One of the tasks is to use the spatial representation of forest fire locations during the fire season and offer timely suitable technical options for accessing them. We developed a GIS technology to create forest fire ground access routes for special firefighting vehicles moving from a ground firefighting base (fire-chemical station) to the place of the forest fire detection; the technology includes a statistical and geospatial accessibility analysis of the routes. The key data are a transport model consisting of public roads and forest glades on the regional scale. We described the main principles of the transport model construction and usage, and their implementation for the Russian Federal Districts. An access routes database for the 2002–2019 fire seasons, a central part of the Siberian Federal District, was produced and analysed. By using a hot spot analysis, we confirmed that forest fires are poorly accessible away from the centre of the Siberian District. The created road accessibility maps show “a proposed ground access zone” within the key area to fight forest fires for the fire seasons to come.
Akay A.E., Wing G.M., Sivrikaya F., Sakar D. (2012): A GIS-based decision support system for determining the shortest and safest route to forest fires: a case study in Mediterranean Region of Turkey. Environmental Monitoring and Assessment, 184: 1391–1407.
https://doi.org/10.1007/s10661-011-2049-z
Akay A.E., Aziz B. (2015): GIS-Based forest road network model for forest protection. In: 38th Annual COFE Meeting, Engineering solutions for non-industrial private forest operations, Lexington, Kentucky, USA, July 19–22, 2015: 266–281.
Akay A.E. (2019): Analyzing the effects of logging truck sizes on transportation costs of forest products, V. In: Science Technology and Innovation Congress, Alanya, April 17–21, 2019: 29–36.
Alazab A., Venkatraman S., Abawajy J., Alazab M. (2011): An optimal transportation routing approach using GIS-based dynamic traffic flows. In: 3rd International Conference on Information and Financial Engineering IPEDR, Shanghai, China, Aug 19–21, 2011: 172–178.
Bartalev S.A., Egorov V.A., Zharko V.O., Loupian E.A., Plotnikov D.E., Khvostikov S.A. (2015): Current state and development prospects of satellite mapping methods of Russia’s vegetation cover. Current problems in remote sensing of the Earth from space, 12: 203–221. (in Russian)
Dunn Ch.J., Thompson M.P., Calkin D.E. (2017): A framework for developing safe and effective large-fire response in a new fire management paradigm. Forest Ecology and Management, 404: 184–196.
https://doi.org/10.1016/j.foreco.2017.08.039
Goldammer J.G., Eritsov A.M., Kisilyakhov E.K. (2017): The need for development of pragmatic and science-based solutions for forest management and fire management for the Russian Federation. Siberian Forest Magazine, 5: 114–124.
Kotelnikov R.V., Korshunov N.A., Giryaev N.M. (2017): Objectives of decision making in protecting forests from fires. Priorities on development of informational support. Siberian Forest Journal, 5: 18–24. (in Russian)
Kotelnikov R.V., Loupian E.A., Bartalev S.A., Ershov D.V. (2019): Space monitoring of forest fires: the history of creation and development of ISRM-Rosleskhoz. Russian Journal of Forest Science, 5: 399–409. (in Russian)
Krumov T. (2019): Determination of the optimal density of the forest road network. Journal of Forest Science, 65: 1–8.
https://doi.org/10.17221/101/2019-JFS
Krumov T. (2020): Construction link between agricultural and forestry road networks. Mechanics. Transport. Communications, 18: VIII-1–7.
Liu S., Zhu X. (2004): Accessibility Analyst: an integrated GIS tool for accessibility analysis in urban transportation planning. Environment and Planning B. Planning and Design, 31: 105–124.
https://doi.org/10.1068/b305
Loidl M., Wallentin G., Cyganski R., Graser A., Scholz J., Haslauer E. (2016): GIS and transport modeling – strengthening the spatial perspective. ISPRS International Journal of Geo-Information, 5: 1–23.
https://doi.org/10.3390/ijgi5060084
Loupian E.A., Mazurov A.A., Flitman E.V., Ershov D.V., Korovin G.N., Novik V.P., Abushenko N.A., Altyntsev D.A., Koshelev V.V., Tashchilin S.A., Tatarnikov A.V., Csiszar I., Sukhinin A.I., Ponomarev E.I., Afonin S.V., Belov, V.V., Matvienko G.G., Loboda T. (2006): Satellite monitoring of forest fires in Russia at federal and regional levels. Mitigation and Adaptation Strategies for Global Change, 11: 113–145.
https://doi.org/10.1007/s11027-006-1013-7
Malladi T., Sowlati T. (2017): Optimization of operational level transportation planning in forestry: a review. International Journal of Forest Engineering, 28: 198–210.
https://doi.org/10.1080/14942119.2017.1362825
Mitchell A. (2005): The ESRI Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics. Redlands, ESRI Press: 252.
Oleynikov V.T., Markov A.G. (2014): Problems of development and use of geoinformation systems in divisions of Emercom of Russia. Fire and Explosion Safety, 8: 32–35. (in Russian)
https://doi.org/10.18322/PVB.2014.23.8.32-35.
Podolskaia E.S., Kovganko K.A., Ershov D.V., Shulyak P.P., Suchkov A.I. (2019a): Using of transport network model to estimate travelling time and distance for ground access a forest fire. Forest Science Issues, 2: 1–24.
https://doi.org/10.31509/2658-607x-2019-2-2-1-22
Podolskaia E.S., Kovganko K.A., Ershov D.V. (2019b): Regional Geoinformation Modeling of Ground Access to the Forest Fires in Russia. In: Popovich V., Thill J.C., Schrenk M., Claramunt C. (eds): Information Fusion and Intelligent Geographic Information Systems. Advances in Geographic Information Science. Cham, Springer: 155–165.
Podolskaia E., Ershov D., Kovganko K. (2019c): GIS-analysis of ground transport accessibility of fire stations at regional scale. Abstracts of the ICA, 1: 301.
https://doi.org/10.5194/ica-abs-1-301-2019
