Reading the urban socio-spatial network through space syntax and geo-tagged Twitter data

被引：11

作者：

Iranmanesh, Aminreza ^{[1
]}

Atun, Resmiye Alpar ^{[2
]}

机构：

[1] Near East Univ, Fac Architecture, Nicosia, Northern Cyprus, Turkey

[2] Eastern Mediterranean Univ, Dept Architecture, Nicosia, Northern Cyprus, Turkey

来源：

JOURNAL OF URBAN DESIGN | 2020年 / 25卷 / 06期

关键词：

SOCIAL MEDIA; LAND-USE; BIG DATA; CITY; MOVEMENT; CONFIGURATION; ENVIRONMENT; FAMAGUSTA; LOCATE; PARKS;

D O I：

10.1080/13574809.2020.1814132

中图分类号：

TU98 [区域规划、城乡规划];

学科分类号：

0814 ; 082803 ; 0833 ;

摘要：

This research examines the predictability of geo-tagged Twitter data via space syntax integration measurement using geographic information system (GIS). Mobile networking mediums are an emergent part of everyday life in the city. In light of this, research on cities needs to take into account these new data sources. The study was conducted in two Cypriot cities, Famagusta and Kyrenia, and the result shows the significance of local accessibility in predicting Twitter data in both cases. The outcome also suggests the critical importance of investigating the outliers in the dataset because they might clarify hidden potentials of urban spaces.

引用

页码：738 / 757

页数：20

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