Using of transport network model to estimate travelling time and distance for ground access a forest fire

Abstract

Since regional forest protection services often have limited material resources, the emergency response to the emerging forest fires requires to choice an optimal maneuvering solution and a method to transfer available forces. One of the possible ways is to create a regional transport model for the case of forest fire based on the network of public roads and forest glades. Paper describes a method of calculation of travelling time and distance to a forest fire, research results for an experimental transport model, created by Network Analyst ArcGIS, to build the shortest routes from the fire stations to the forest fires. Spatially-distributed data on the fire trucks' average speed for different types of roads and the elevation values were used in the model for the test area (Irkutsk region of Russia). In total 16251 routes were built and analyzed for 16 years (2002-2017). The model was validated using the data on forest fires detected by the MODIS-Aqua/Terra spectroradiometer within the ground and forest aviation zones of test region. A map showing the fire routes within one-, two-and three-hours ground transport accessibility is created for the forest fire ground protection zone of the test region. The model's work quality was validated for the forest fires detected within the ground zone. As a result, 98% (2661) of forest fires in the ground zone are accessible within three hours and less, that indirectly confirms the correctness of model. At the same time, the majority of forest fires are located within one-(68%) and two-(24%) hour's availability. Finally, recommendations on using the transport model for the managerial decisions on the forest fire fighting on regional level were given.

GIS-Approach to Estimate Ground Transport Accessibility of Forest Resources (Case Study: Novosibirsk Region, Siberian Federal District, Russia)

“…Its accessibility has to be evaluated by three parameters, namely: time, distance, and speed of accessing by special transport (any heavy vehicle like logging truck or fire brigade truck, etc.) according to the defined speed parameters for different road coverage types, Table 1 from the paper [24]. The result is a map showing time, distance, and speed of movement from the nearest station to the forest areas (vegetation map pixels), which, in turn, is the basis to produce a map of forest areas' accessibility.…”

“…We continue the GIS-study on the forest fire protection [22] [23] [24] [25] [26]. The objective of the present research is to apply our previously developed GIS-methodology, described in the paper [24], to estimate accessibility of forest resources taking into account fire stations' responsibility areas with no-barriers/ barriers modeling.…”

“…We continue the GIS-study on the forest fire protection [22] [23] [24] [25] [26]. The objective of the present research is to apply our previously developed GIS-methodology, described in the paper [24], to estimate accessibility of forest resources taking into account fire stations' responsibility areas with no-barriers/ barriers modeling. To archive this objective, we have formulated a set of tasks: 1) definition of no-barriers and barriers scenarios of operational access to the forest pixels (forest resources); 2) mapping of scenarios, analysis of their outputs for the key area within the Siberian Federal District (FD); 3) using of scenarios to evaluate the transport location of fire stations, and 4) an analysis of transport accessibility by type of forest vegetation.…”

CBS Tabanli Ağ Anali̇zi̇ Yöntemi̇ Kullanilarak Yangin İlk Müdahale Eki̇pleri̇ni̇n Değerlendi̇ri̇lmesi̇

“…The access time including water re-charging cycles was determined based on a raster-based road network. In a study conducted by Podolskaia et al (2019), travelling time and distance to a forest fire was estimated using the transport network model, generated by the Network Analyst tool in ArcGIS. A map of fire ground protection zone was produced to evaluate ground transport accessibility for three time periods (one, two and three hours).…”

Determination of the Safest Route for Logging Trucks Based on Road Types and Conditions

“…They reported that using a GIS decision support system reduced transportation costs by 28.29%. In a study conducted by Podolskaia et al [12], traveling time and distance to a forest fire were estimated using the transport network model generated by the network analyst tool in ArcGIS. A map of the fire ground protection zone was produced to evaluate ground transport accessibility for three time periods (one, two and three hours).…”