Analysis and Forecasting of Management Decisions in Commercial Real Estate Management

DOI

10.2991/cmdm-18.2019.7How to use a DOI?

Keywords

decision support system, commercial real estate, property management

Abstract

The relevance and necessity of the problem of forecasting management decisions in the field of commercial real estate management is shown. A modified Huff model which is used to predict attendance commercial real estate and consumer appeal is shown. The main feature of the proposed model is its versatility in relation to the type and format of commercial real estate. The introduced convolution Q, describing the quality of the property, is a function of many variables, the set of which and the type of functional dependence is individual for each type of commercial real estate. The model example of sensitivity analysis complex evaluation to changes in the status of private criteria that can serve as the instrumental basis of the decision support system is given. Also, the model example of sensitivity analysis and search for the optimal strategy of economic entities of shopping and entertainment complexes is shown. Screen forms of multi-user system of support of making individual management decisions in the software environment RDS (Research of Dynamic Systems) are given.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Varvara Spirina
AU  - Alexander Alekseev
AU  - Alexandra Andronova
PY  - 2019/02
DA  - 2019/02
TI  - Analysis and Forecasting of Management Decisions in Commercial Real Estate Management
BT  - Proceedings of the Third Workshop on Computer Modelling in Decision Making (CMDM 2018)
PB  - Atlantis Press
SP  - 36
EP  - 44
SN  - 2352-538X
UR  - https://doi.org/10.2991/cmdm-18.2019.7
DO  - 10.2991/cmdm-18.2019.7
ID  - Spirina2019/02
ER  -