An Analysis on E-Scooter Preference for the First and Last Mile Trip in Tourist Area

alue of tourists' willingness to pay to use the e-scooter sharing service as the first and last mile mode of transportation, the potential demand for e-scooter sharing, and determine the amount of CO_2 emission reduction by implementing this service. The stated preference method was employed to design the questionnaire and conduct interviews to collect the data. Furthermore, the data were analyzed using the binary logit method, and the backward elimination method was employed to obtain significant parameters. Moreover, to determine the best utility models, we used the maximum likelihood approach. The results of the study show that the willingness to pay value for using e-scooter sharing services is that if there is a saving of US $1.5 in travel costs for 15 minutes extra travel time, the number of tourists who want to switch to using the e-scooter sharing service from the existing mode is as many as 1908 person trips with reduced CO_2 emissions from the trips is 2,231,814.85 g CO_2 person trips. This study also revealed that respondents accompanied by environmental awareness crave to pay $ US 0.4 or 21% higher to use e-scooter sharing services than the respondents no matter to the environment.