| Issue |
MATEC Web Conf.
Volume 193, 2018
International Scientific Conference Environmental Science for Construction Industry – ESCI 2018
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 6 | |
| Section | Sustainable Strategies of Urban Planning | |
| DOI | https://doi.org/10.1051/matecconf/201819301005 | |
| Published online | 20 August 2018 | |
Substantiation of organizational and technological solutions for construction within the “car-free city” concept
Moscow State University of Civil Engineering, 26, Yaroslavskoye Shosse, 129337, Moscow, Russia
*
Corresponding author : serj-bel@yandex.ru
In the article, the author developed the classification of the main models of implementation of the “car-free city” concept depending on organizational and technological solutions in the construction and reconstruction of the urban environment. The author determined that the problem of selecting the optimal model should be decided on the basis of a comprehensive analysis of various factors that determine the specific features and problems of a specific urban situation (social, technical, organizational, environmental, cultural, economic, climatic, etc). The developed solution should meet the criteria of ensuring the comfort of the urban environment and investment attractiveness. The author developed the basic algorithm of choosing the optimal organizational and technological solutions for the development of urban development within the “car-free city” concept, the use of which will contribute to maximizing socio-economic, environmental and other effects while ensuring the investment attractiveness and competitiveness of construction project decisions.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.