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作者

Mahsa Najarsadeghi;Ehsan Dorostkar

来源

CITIES,Vol.130,Issue1,Article 103944

语言

英文

关键字

作者单位

Department of Urban Planning, Science & Research Branch, Islamic Azad University (SRBIAU), Tehran, Iran;Department of Urban Planning, University of Guilan, Rasht, Iran;Department of Urban Planning, Science & Research Branch, Islamic Azad University (SRBIAU), Tehran, Iran;Department of Urban Planning, University of Guilan, Rasht, Iran;Department of Geography & Planning, University of Liverpool, Roxby Building, Liverpool L69 7ZT, United Kingdom;Torre Telefónica Diagonal 00, Plaza de Ernest Lluch i Martín, 5, 08019 Barcelona, Spain;Department of Real Estate and Construction, Faculty of Architecture, The University of Hong Kong, Hong Kong, China;Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China;Senseable City Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, United States;School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China;College of Computer Science, Chongqing University, Chongqing 400044, China;Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing 10087, China;Department of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, United States;Beijing Key Lab of Spatial Information Integration and its Applications, Peking University, Beijing 100871, China;State Key Laboratory of Media Convergence Production Technology and Systems, Beijing 100803, China;Tourism College, Beijing Union University, Beijing 100101, China;School of Urban and Environmental Sciences, Peking University, Beijing 100871, China;School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 508055, China;School of Transportation, Southeast University, China;Jiangsu Key Laboratory of Urban ITS, China;Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, China

摘要

Social media can transfer virtual mobility to human mobility in the city. Foursquare social media gives actual data for assessing human mobility. Human mobility studies indicate that nightlife is attractive to the residents of large cities. So, the main issue of this research is to evaluate the impact of human mobility, created by virtual mobility on Foursquare, in actual nightlife conditions in Tehran. Also, the research question is about the effects of Foursquare on nightlife and spatial interactions. For this, active nightlife restaurants were targeted. Desired data from the Foursquare API and Tehran Municipality API, found the two spots of Tehran had the most activity at nightlife. By triangulation and networking, some triangles and their area were obtained in these two spots. Finally, it determined that ranges with less area can have a greater impact on urban space. The innovation of this study is in its method of conduct, which can be used as a model for other studies of human mobility, in developing countries that tend to identify attractive places within their cities.