Zolzaya Dashdorj

Transport provision in remote territories is one of the most important factors in maintaining the sustainability of socio-economic and ecological systems. Indigenous peoples of Siberia have always been mobile using diverse traditional ways across the taiga. During the Soviet period, the transition to settled life, along with technological development and the emergence of new modes of transport, such as off-road cars, snowmobiles, and motor boats, significantly affected the level of population mobility, including remote areas where people are engaged in traditional nature management. With the collapse of the Soviet Union, there were significant changes and reductions in the subsidies of transportation systems for remote terrains that made them isolated. Transport connectivity has been realized through rare plane flights (once a month or less) or by cars on dirt roads (actually off-road) that take several days of travel. Siberian territories rich with natural resources, low population density, and weak infrastructure might be attractive for mining companies. Being difficult to access not only for the local population, but also for industrial companies, the territories imply the allocation of a significant share of road construction and transport costs in the cost items of miners and processors. The problems of sustainability and resilience of the indigenous peoples of Siberia require special attention when restructuring transport communications, but they have practically not been studied before. Methods of in-depth and group interviews with local residents were used. Based on comparative geographic and statistical analysis and generalization of data, network and problem approaches applied for various sources and field materials (including in-depth and group interviews), the factors of sustainability and resilience, which the indigenous communities of three remote Siberian territories pin their hopes on in the context of the transformation of transportation infrastructure, have been identified. If geographic remoteness remains an unchanged fact, the expansion of desired transport accessibility (mainly due to investments by industrial companies) is associated by locals with the possibility of additional income related to provision of services, the emergence of new types of employment of the population that have not been observed before, and the implementation of new transport modes to support traditional activities.

Summary: The increasing numbers of large data sets generated by information technologies provide a great opportunity to better understand emerging topics in human society. Retrieving real‐world events from such data, particularly free‐text data, is a complicated task in Natural Language Processing and Location‐based Social Networks. In this work, we propose a new approach, which recognizes geo‐referenced high‐level events/activities mentioned in web sources adopting open gazetteers: OpenStreetMap and Google Maps. Our approach demonstrated on sampled news articles identifies events associated with the relevant topics using a latent Dirichlet allocation. This research is an essential step towards recommendation systems, urban planning, and monitoring.