Exploring the potential of social media in urban analysis

The mobility of people in the city forms various patterns that change over time according to the needs of the inhabitants. The question is how the relationship and mutual influence between social media and urban development are based on the urban variable model, according to the needs of urban residents. The study aims to determine the relationship between social media and the intensity of its influence as a neglected element in urban planning. In this study, geolocated data from the Tehran-based social media platform “Nazdika” were collected and analyzed to understand how digital activities intersect with urban mobility and inform spatial development. Employing a 10 × 10 analysis method, the urban area was divided into 10 significant regions based on historical, functional, and socio-cultural centrality, allowing for systematic cross-sectional assessment. Data processing combined the use of geographic information system mapping and qualitative content analysis to identify patterns of human movement, concentrations of digital interactions, and their influence on physical urban space. The results show that the primary core of the city is the first and most attractive place in the city to attract audiences on social media, and it is an axis of the city’s development from virtual to real space. The methodological focus on a single local platform is discussed as both a limitation and an opportunity for in-depth, context-specific insight.

Authors

Publication Details

Journal
Journal of Chinese Architecture and Urbanism
Published
2025-10-13
DOI
https://doi.org/10.36922/jcau025260052
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the potential of social media in urban analysis

Mahsa Najarsadeghi, Zahra Sadat Saeideh Zarabadi, Hamid Majedi
Journal of Chinese Architecture and Urbanism
Human Mobility and Location-Based Analysis
article

Exploring the potential of social media in urban analysis

Mahsa Najarsadeghi, Zahra Sadat Saeideh Zarabadi, Hamid Majedi
article en

Abstract

The mobility of people in the city forms various patterns that change over time according to the needs of the inhabitants. The question is how the relationship and mutual influence between social media and urban development are based on the urban variable model, according to the needs of urban residents. The study aims to determine the relationship between social media and the intensity of its influence as a neglected element in urban planning. In this study, geolocated data from the Tehran-based social media platform “Nazdika” were collected and analyzed to understand how digital activities intersect with urban mobility and inform spatial development. Employing a 10 × 10 analysis method, the urban area was divided into 10 significant regions based on historical, functional, and socio-cultural centrality, allowing for systematic cross-sectional assessment. Data processing combined the use of geographic information system mapping and qualitative content analysis to identify patterns of human movement, concentrations of digital interactions, and their influence on physical urban space. The results show that the primary core of the city is the first and most attractive place in the city to attract audiences on social media, and it is an axis of the city’s development from virtual to real space. The methodological focus on a single local platform is discussed as both a limitation and an opportunity for in-depth, context-specific insight.

Journal of Chinese Architecture and UrbanismVol. 0(0)
Openalex Percentile: Top 71%
Human Mobility and Location-Based Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.