# Understanding and Predicting the Usage of Shared Electric Scooter Services on University Campuses
## 3 Methodology
### Survey Design and Data Collection
\begin{table}
\begin{tabular}{l l l} \hline
**Attribute** & **Description** & **Values** \\ \hline _Sociodemographic_ & & \\ Age & Age & (1) 18 to 29; (2) 30 to 44; (3) 45 to 60; (4) Over 60 \\ Gender & Gender & (1) Male; (2) Female \\ Education & Highest education level & (1) Secondary; (2) Diploma; (3) Bachelor’s degree; (4) Master’s degree; (5) Doctorate degree \\ Position & Job position & (1) Undergraduate student; (2) Postgraduate student; \\ Status & Employment/education status & (3) Academic staff; (4) Non-academic staff \\ Race & Race & (1) Full-time; (2) Part-time \\ Monthly Income & Monthly household income & (1) Chinese; (2) Malay; (3) Indian; (4) Other \\ Private vehicle & Private vehicle ownership & (1) Yes; (2) No \\ E-hailing & Usage of e-hailing services per week & (1) Not using at all; (2) Less than 3 times; (3) 3 to 6 times; \\ SMS Membership & Membership of shared mobility services & (1) Yes; (2) No \\ _Travel characterization_ & & \\ Travel mode & Usual travel mode for going to campus & (1) E-hailing taxi; (2) Private car; (3) Private motorcycle; \\ Camp.Hrs/d & Hours usually spent on the campus per day & (1) 1 to 3 h; (2) 3 to 5 h; (3) 5 to 8 h; (4) More than 8 h \\ Camp.Tra/d & Number of journeys onto or to outside of the campus per day & (1) Less than 2 journeys; (2) 2 to 4 journeys; (3) 4 to 6 journeys; \\ Camp.mod/d & Travel mode on the campus & (4) More than 6 journeys \\ Camp.tra.time/d & Duration of daily travel on the campus & (1) Less than 10 min; (2) 10 to 20 min; (3) 20 to 30 min; (4) More \\ Camp.tra.cost/d & Daily travel cost on the campus & (1) Less than RM 5; (2) Between RM 5 and RM15; (3) Between RM15 and RM 25; (4) More than RM25 \\ Sep.lane & & (1) Strongly discourage; (2) Discourage; (3) Encourage; \\ On-road.Lane & & (1) Strongly discourage; (2) Discourage; (3) Encourage; \\ No-Lane & Road with no bike/scooter lane & (1) Strongly discourage; (2) Discourage; (3) Encourage; \\ Greenery & Green Space (e.g., road-side trees, & (1) Strongly discourage; (2) Discourage; (3) Encourage; \\ Smooth.Surf & A smooth road surface & (1) Strongly discourage; (2) Discourage; (3) Encourage; \\ Connectivity & Pathways/roads connectivity & (1) Strongly discourage; (2) Discourage; (3) Encourage; \\ e-scooter Usage (_Target variable_) & Shared e-scooter frequency of usage & (1) Not using at all; (2) Sometimes/infrequently; (3) Frequently; (4) Regularly as the main mode of transport. \\ \hline \end{tabular}
\end{table} 
Table 1: Variables used in this study for analysis. daily operations, activities, and events require continuous mobility access to different transportation modes. Consequently, integrated transportation system management on the university campus is pivotal. The current transportation services on the UM campus include bus services (campus and traditional buses), a bicycling facility, and car and pedestrian accessibility. Figure 1 shows the University Campus Map and the road line map. The online Google questionnaire survey was disseminated to over 30,000 faculty, non-academic staff and university students in December 2020. The survey was estimated to take 10 min to complete. The survey link was active for a period of three weeks. We received 1023 responses and 1000 surveys were valid for further analysis (response rate: 1.7%). Table 2 captures the sociodemographic characteristics of the sample, the UM population and the overall university populations in Malaysia. For the university population, we used the data statistics of 2020. The gender distribution in the sample is overall representative, with the female population slightly overrepresented. Shares for occupation composition are comparable. Given the similarities of gender and occupation, we believe that the sample sufficiently reflects the socioeconomic features of the targeted population.