Subject: London, Restaurants, Centralism, Information methods
Year: 2021
Type: Proceedings
Title: Are central-zone restaurants better for consumers?-An analytical approach
Author: Markoski, Filip
Author: Basnarkov, Lasko
Author: Stojkoska, Biljana
Author: Lameski, Petre
Author: Zdravevski, Eftim
Abstract: Analysis of restaurant location has significant value both for owners, and for consumers. In this paper we examine the statistical relationships of restaurant properties and qualities in order to establish their relevance for the success of a restaurant. For this purpose, we use information-based methods and a dataset obtained from the TripAdvisor platform containing data about restaurant facilities situated in London. The dataset is rich with numerous qualitative features describing the restaurants. Through the use of statistical and geographical methods we explore the usefulness of geographic visualisation of restaurant qualities, and examine the statistical relationships among restaurant descriptors. Our results demonstrate the effectiveness of information methods for researching economic and non-economic phenomena.
Publisher: IEEE
Relation: 2021 IEEE International Conference on Big Data (Big Data)
Identifier: oai:repository.ukim.mk:20.500.12188/22270
Identifier: http://hdl.handle.net/20.500.12188/22270
