Statistical Optimization of E-Scooter Micro-Mobility Utilization in Postal Service

New-generation technologies on vehicles provide many advantages in terms of cost, time, and the environment transportation, logistics, freight, delivery service sectors. This study aimed to measure effect using e-scooter mail energy cost time Turkey. Considering number test drives applications potential regions, amount consumption driving data were used. The for each was assumed as a package or postal amount. methodology this consisted measuring input parameters output variables linear response optimization regression method minimizing consumed time. nine two based drive analyzed study. distance address, region where address located, temperature found be statistically significant predictors required delivery. statistical significance levels zone, distance, temperature, rainfall, factors calculated 0.053, 0.001, 0.0033, 0.044, 0.042, respectively. Driver age, wind speed, affected with an e-scooter. these 0.02, 0.043, Additionally, N (p; 0.042), NE 0.030), W 0.057) directions directly influenced SE 0.017) only direction that significantly consumption. objective functions estimated by calculating optimum values minimum both desirability models, which solution set. average computed 2.83 tests TRY 0.021 (per 0.098 km) necessity e-scooters, are more environmentally friendly, economical, time-saving than traditional vehicles, is among prominent suggestions