In collaboration with Payame Noor University and Iranian Association For Environmental Assessment (IAEA)

Document Type : Science - Research

Authors

1 Assistant Professor of Geography, Seyed Jamaluddin Asadabadi University, Asadabad, Iran

2 Assistant Professor, Department of Geography, Imam Ali University, Tehran, Iran.

Abstract

Today, researchers are looking for models that can work well in the event of widespread diseases. Based on this, the purpose of the current research is to typify the patterns of post-corona cities in order to understand the patterns of urban planning and policy-making during the covid-19 and future pandemics. The current research is of a secondary type and the philosophical paradigm that governs it is of an interpretive type, its approach is qualitative and its methodology is a case study. The data collection method is text-based and based on documentary methods. The research method is based on systematic review and meta-analysis. Based on this, a systematic review of published articles, theses and books about post-corona cities has been undertaken. The statistical community is related to articles, books and theses that were published in the period from 2019 to 2023. After preliminary reviews, 42 articles were selected for final analysis. The research results show that models such as 20-minute city, 15-minute city, 10-minute city, complete community and complete neighborhood have been proposed for post-corona cities. In addition, the post-corona cities have six main categories including transportation, culture and community, work, green and recreational spaces, education, health and services, and finally smartening. The post-corona city patterns have 24 common components, which include public transportation, active travel, traffic and parking, identity and belonging, sense of security, influence and sense of control, care and maintenance, local employment, flexible workspace, social interactions. smart healthcare, smart education. smart environment and smart network and energy use.

Keywords

Main Subjects