AUTOMATIC ANALYSIS OF LOCAL ROUTES AND ADJACENT HOUSE TERRITORY FOR URBAN PLANNING SUPPORT
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For citation: Mouromtzev D.I., Sender A.V., Chirkin A.M., Lisitsa N.I. Automatic analysis of local routes and adjacent house territory for urban planning support. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2017, vol. 17, no. 1, pp. 75–80. doi: 10.17586/2226-1494-2017-17-1-75-80
The paper presents research results of supporting the planning automation procedures and design in the field of urban design in order to reduce the design cycle duration. We show the methods of development and formalization of quantitative criteria for urban design. Two algorithms are proposed to support the urban area planning process at the early design stages without sufficient time-consuming. The planning process involves several alternatives. The algorithms give the possibility to automate the calculation of the required components of the urban area plan. The first algorithm assesses the required adjacent house territorybased on the existing configuration of buildings with the possibility of its preservation, as well as restrictions on the further planning stages in view of maintaining the existing plan. The second algorithm performs a plan of possible routes between the buildings and enables to carry out an optimal integration of the projected quarter in the urban environment. The given solution provides for a formal review of the project by specialists at the later stages of planning. Although the offered automated tools do not provide an optimal solution, they give the possibility to estimate the potential of planning decisions at the early stages of design. Implementation of the evaluation criteria in the automated design system enables the architects to reduce the number of errors detected by the specialized experts at the later stages of work. The planner's overall operation process is accelerated and simplified significantly. The proposed algorithms are integrated into the system of urban planning qua-kit.ethz.ch. Development results can be used in the planning process as well as for educational purposes.
Acknowledgements. The work is a part of ADvISE research project (“Data analysis for understanding the impact of urban design on social performance of a city (ADvISE)” ETH Zürich project). This work was partially supported by RHF grant 16 -23-41007
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