This research study explores urban planning for transport sustainability in two cities Kaunas (Lithuania) and Jelgava (Latvia). As part of the analyses, a transport sustainability was compared in relation to three main aspects – economy, environment and society. The aim of this research is to review the existing transport system in two cities – Kaunas and Jelgava, and to evaluate their sustainability in environmental, social and economic dimensions. The study is based on the information about configuration and location of the existing transport system in two cities – Kaunas and Jelgava. It is important to submit proposals to decision making bodies in order to improve sustainability of transport.

The national geodetic infrastructure of Ukraine has developed rapidly into Ukrainian Coordinate Reference System UCS – 2000, a fully GNSS compatible coordinate reference system, which is realised through networks of active GNSS stations. They provide data for post processing and streamed raw data for real-time network (RTN) solutions. The RTN raw data are currently being used by both Trimble (ZAKPOS Network), Leica Geosystems (System Solutions Network) and Topcon (TNT - TPI Network) to provide independent RTN solutions. This study is the first in the public domain to evaluate the performance of RTN services in Ukraine and it is intended to provide guideline information for geo-spatial practitioners. Based on collecting RTN data at five locations and using standard observing and processing methods, an accuracy of 25 mm ±10 mm with respect to 2D coordinates and 34 mm ±14 mm with respect to the heights was achieved. The three systems were shown to be generally comparable although some initialization problems were experienced. The result has revealed expected ~2-5 cm (95%) precision for the horizontal and vertical components; however, large horizontal and vertical biases were observed, which can be as high as 8 cm.

The article shows results of compiling recommendation land use maps for land use and land resources management of the university experimental farm “Velykosnitynske”. Large-scale GIS mapping of experimental farms allows to improve land use and decision making, prepare recommendations to solve land management issues, planning of technology processes and efficient crop growing technology. Compiled recommendation maps are aimed to assist in rational land use planning and sustainable development of the territory.