English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The article presents a method developed by the authors to assess the accessibility of urban improvement facilities for low-mobility groups of the population based on the analysis of text data from social networks and the socio-psychological well-being of city residents. The object of the study was the profiles of landscaping objects in Google Maps located in the Petrogradsky district of St. Petersburg, 25 urban landscaping objects (parks, gardens, squares) were selected. During the study, the total number of comments for each improvement object was determined, reviews were analyzed, reviews were identified that describe the impressions and experiences of elderly and low-mobility groups, and the tonality of these messages was evaluated. The analysis of the reviews showed that the comments contain information from low-mobility groups of the population describing the problems of improvement facilities, in particular accessibility. The conclusion is made about the great potential that can be extracted from the use of automated data collection from geoinformation social systems. Findings show that overlapping data from Google Maps enriches the analysis that would previously have relied on a single source.

Application of Automated Means of Content Analysis of Data from Geoinformation Networks to Study the Accessibility of Landscaping Facilities