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Metaverse is a unique space in a virtual world that with many capabilities and features shows us a world in which we can experience life in all its dimensions. The presence of Metaverse in the global arena and the use of the facilities of this technology are effective in improving living conditions in developing cities. In this study, two sample projects that Metaverse can support are presented in India and Ghana. The remarkable thing is its innovative method that can solve many problems in the cities of the world. One of the most important challenges in the world today is saving cities from climate change and its adverse effects. Metaverse is one of the innovative methods to reduce the effects of greenhouse gas emissions in the cities of the world. The question is whether Metaverse can influence the urban planning of many cities in the world and change urban planning in the world internationally? And can Metaverse challenge the theoretical foundations in the city? The purpose of this study is to clarify the effects of the Metaverse on the city level. This study aims to introduce a new way to solve the problems of today and the future of world cities by examining Upland and its effects on urban sustainability and ways to prevent climate change. In this context, Metaverse technology has been used as a new solution to provide jobs, reduce poverty, increase public health, prevent climate change and, as a result, realize a better life for future generations. The results of this study, due to being cross-border and creating a global perspective on the Metaverse in urban planning, can create a new scientific perspective based on technological advances in urban studies.

Cities attractive spots affect human mobility. Understanding the pattern of human mobility and its stimulant factors for planning and designing cities is very important. The cyberspace as well as Twitter social media with capabilities such as record users life events with accurate time and location data reflect human mobility in the city. The purpose of this study is to identify and analyze attractive urban spots based on the content and location data of residents in Tehran. Also the question is what is the connection rate of Twitter social media with attractive urban spots based on the behavior and performance of residents in the city? First, the data are collected through the Twitter API. The trend analysis method, the period and the changes made are analyzed and then the regression of the correlation between the rates of tweets extracted with transportation (trip production and absorption) is evaluated and is calculated, and a GWA spatial weighted regression model map for the city of Tehran is presented. Finally, it was found that Twitter's social media could play a role in human mobility and used as an important variable in field studies and analytical studies from urban spaces.