DOI 10.60531/INSIGHTOUT.2024.2.8| LAI: SMART CITY TRANSITION_ INSIGHTOUT 2(2024)55Question4.3 app crashes ortechnical glitchespayment or billingproblemsexcessive battery ordata usagedifficulties in usingapp featuresinaccurate trackingof serviceslimited availability orservicespoor customerserviceStatistical method: chi-squared testPearson chi-squared value Degree of freedom0.180 11.576 10.860 10.822 10.025 15.535 14.410 1Significance value0.6720.2090.3540.3650.8730.019*0.036*Question6f15Statistical method: independent sample t-testt-value Degree of freedom-1.373 1343.889 120.742Two-sided probability0.172<0.001**indicating significant difference(smaller than 0.05)Table 3: Results of the statistical analysis regarding the effect of gender on access to SBMSMales tend to face more of these two problems thanfemales, implying more usage of shared mobility services by males than females.32Fig. 7: Problems faced when using mobile apps forsmartphone-based mobility servicesWhen participants were asked to evaluate whethermobility services are still accessible without a smartphone, the result in table 3(Q6f) shows there is nosignificant difference between genders. The meanvalues of males(M=2.92, SD=1.159) and females(M=3.17, SD=1.006) also show no observable tendency towards the statement. However, gendered differ32K. Turoń,“Car-Sharing Systems in Smart Cities: A Review of the Most Important Issues Related to the Functioning of the Systems inLight of the Scientific Research”,Smart Cities, 6/2(2023), 796–808.
