| Issue |
MATEC Web Conf.
Volume 239, 2018
Siberian Transport Forum - TransSiberia 2018
|
|
|---|---|---|
| Article Number | 08016 | |
| Number of page(s) | 10 | |
| Section | Transport Economics and Finance | |
| DOI | https://doi.org/10.1051/matecconf/201823908016 | |
| Published online | 27 November 2018 | |
Marketing analysis of the residential real estate sector as a tool to plan the development of transport infrastructure
1 Voronezh State Technical University, Moscow Avenue, 14, Voronezh, 394026, Russia
2 Russian state social University, Wilhelm Pieck street, 4, Moscow, 129226, Russia
3 Voronezh State Agricultural University, Ul. Mitchurina, 1, Voronezh, 394087, Russia
* Corresponding author: yaroslav_lav1@bk.ru
Current methods for analyzing the residential real estate market have certain disadvantages. First of all, they are related to the heterogeneity of the market due to geographical differences. Secondly, it is various approaches to analyze the real estate sector. The real estate market is often analyzed only from the point of statistics and macroeconomic phenomena, without taking into account marketing components. However, effective analytics of the real estate sector should include marketing analysis. This analysis helps to understand the preferences and trends of past and current customers, specifically favored price. A forecast of future trends in real estate is created on the basis of this analysis. The authors suggested methodological approaches to analyzing the residential real estate sector with the use of marketing analysis.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.