“…Only a few studies till date have explored the geography of co-working spaces in global cities, including Manhattan-New York (Zhou, 2019 ), Barcelona (Coll-Martínez & Méndez-Ortega, 2020 ), and Milan (Mariotti et al, 2017 ) among others. A pertinent study has modelled co-working spaces through Geographically Weighted Regression (GWR) using parameters, neighbourhood social atmosphere (population density, age, race, household income, education level), neighbourhood environment (medium house rent, proximity to park) transportation connection (subway stations, bus stops) Discovery and events (place of interest, theatres, museums), Life convenience (grocery, restaurants, coffee shops, fitness centres, drinking places), and Promoters of innovations (University and research institutions and creative enterprises),and co-working spaces as dependent variable (Zhou, 2019 ).…”