![]() The weighted average score of the factors has been calculated for each country. ![]() car accidents where the lower value is better). Values within each factor were firstly normalised using formulas: score = 10 * (x - min(X)) / (max(X) - min(X)) and score = 10 - 10 * (x - min(X)) / (max(X) - min(X)) for inverted values (e.g.t_0 is the t value of the sigmoids midpoint.k is the logistic growth rate or steepness of the curve.The following logistic formula was applied to reach the city time zone score: = L / (1 + e^(-k*(t - t_0))), where: Time zone differences were given more weight and were assigned a value between 1 and 100 based on a logistic curve where each difference in time zone is given a certain score, with highest score for destinations that are in the same time zone, and the lowest value to a time zone that is far away from the origin.Weight 3 has been assigned to factors in the travel and weather categories, local transportation prices, air pollution exposure, car accidents, co-working spaces, social life factors such as going out possibilities, and cultural attractions. ![]() It is closely followed by factors such as apartment rental prices, local prices, political stability, LGBT equality and English proficiency. Internet speed is regarded as one of the most important considerations, hence it has been assigned the highest weight together with the remote work visa policies.
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