# Data-Driven Approach for Defining Demand Scenarios for Shared Autonomous Cargo Bike Fleets +
## Appendix A  
### Appendix A.1  
The subsequent Table A.1 contains the estimated parameter values for the regression model described in Section 4.4.1. The following explanatory variables were included in the model:  
* Week number (weeknum1...weeknum53);
* Weekday (Monday...Sunday);
* Time of day (hour00...hour23);
* Interaction term between weekday and time of day (Monday \(\times\) hour00...Sunday \(\times\) hour23). \begin{table}
\begin{tabular}{l c c c c c} \hline \hline
**Parameter** & **exp(Estimate)** & **2.5\%** & **97.5\%** & **z-Value** & **\(p\)-Value** \\ \hline Intercept & 34.26298 & 31.76959 & 36.95205 & 91.67588 & 0 \\ weeknum2 & 1.02011 & 0.969 & 1.07391 & 0.75919 & 0.44774 \\ weeknum3 & 1.14702 & 1.08985 & 1.2072 & 5.25779 & 0 \\ weeknum4 & 1.0181 & 0.96709 & 1.0718 & 0.68407 & 0.49393 \\ weeknum5 & 1.11568 & 1.06 & 1.17428 & 4.19079 & 0.00003 \\ weeknum6 & 1.21136 & 1.15111 & 1.27477 & 7.36623 & 0 \\ weeknum7 & 1.28 & 1.21647 & 1.34685 & 9.50437 & 0 \\ weeknum8 & 1.28539 & 1.2216 & 1.3525 & 9.66757 & 0 \\ weeknum9 & 1.33841 & 1.27209 & 1.40819 & 11.24165 & 0 \\ weeknum10 & 1.67394 & 1.59163 & 1.76051 & 20.02514 & 0 \\ weeknum11 & 1.58455 & 1.5065 & 1.66665 & 17.85964 & 0 \\ weeknum12 & 1.66135 & 1.57964 & 1.74729 & 19.72687 & 0 \\ weeknum13 & 1.61856 & 1.53876 & 1.70248 & 18.66883 & 0 \\ weeknum14 & 1.93974 & 1.84477 & 2.03959 & 25.87019 & 0 \\ weeknum15 & 2.28094 & 2.16976 & 2.39783 & 32.34076 & 0 \\ weeknum16 & 2.20978 & 2.10198 & 2.32311 & 31.07184 & 0 \\ weeknum17 & 2.20586 & 2.09825 & 2.319 & 31.00083 & 0 \\ weeknum18 & 2.52049 & 2.39793 & 2.64932 & 36.34807 & 0 \\ weeknum19 & 2.56214 & 2.4376 & 2.69304 & 37.00693 & 0 \\ weeknum20 & 2.41433 & 2.29681 & 2.53786 & 34.61958 & 0 \\ weeknum21 & 2.86377 & 2.72491 & 3.0097 & 41.49003 & 0 \\ weeknum22 & 2.75786 & 2.62402 & 2.89851 & 39.97045 & 0 \\ weeknum23 & 3.22538 & 3.06937 & 3.38932 & 46.29455 & 0 \\ weeknum24 & 2.87377 & 2.73444 & 3.0202 & 41.63074 & 0 \\ weeknum25 & 2.66936 & 2.53973 & 2.80561 & 38.65667 & 0 \\ weeknum26 & 2.84903 & 2.71087 & 2.99423 & 41.28189 & 0 \\ weeknum27 & 2.83947 & 2.70176 & 2.98419 & 41.14625 & 0 \\ weeknum28 & 3.01198 & 2.86609 & 3.1653 & 43.52709 & 0 \\ weeknum29 & 3.21143 & 3.05608 & 3.37468 & 46.11924 & 0 \\ weeknum30 & 3.12983 & 2.97835 & 3.28901 & 45.0782 & 0 \\ weeknum31 & 3.13423 & 2.98255 & 3.29364 & 45.13509 & 0 \\ weeknum32 & 3.01874 & 2.87253 & 3.17239 & 43.61758 & 0 \\ weeknum33 & 2.71723 & 2.58533 & 2.85587 & 39.37255 & 0 \\ weeknum34 & 2.99858 & 2.85333 & 3.15123 & 43.34698 & 0 \\ weeknum35 & 2.92831 & 2.78639 & 3.07746 & 42.38946 & 0 \\ weeknum36 & 2.73051 & 2.59798 & 2.86981 & 39.56896 & 0 \\ weeknum37 & 2.80666 & 2.67051 & 2.94974 & 40.67756 & 0 \\ weeknum38 & 2.59161 & 2.46567 & 2.72398 & 37.46689 & 0 \\ weeknum39 & 2.56738 & 2.44259 & 2.69855 & 37.0892 & 0 \\ weeknum40 & 2.41534 & 2.29777 & 2.53893 & 34.63645 & 0 \\ weeknum41 & 2.07896 & 1.97737 & 2.18576 & 28.63293 & 0 \\ weeknum42 & 1.9848 & 1.88769 & 2.0869 & 26.78454 & 0 \\ weeknum43 & 2.10549 & 2.00264 & 2.21361 & 29.13916 & 0 \\ weeknum44 & 2.1187 & 2.01522 & 2.22748 & 29.389 & 0 \\ weeknum45 & 1.78337 & 1.69585 & 1.87541 & 22.53153 & 0 \\ weeknum46 & 1.61476 & 1.53527 & 1.69837 & 18.6041 & 0 \\ weeknum47 & 1.64079 & 1.56005 & 1.7257 & 19.23495 & 0 \\ weeknum48 & 1.43213 & 1.36134 & 1.5066 & 13.88654 & 0 \\ weeknum49 & 1.58481 & 1.50674 & 1.66692 & 17.86604 & 0 \\ weeknum50 & 1.47809 & 1.40511 & 1.55486 & 15.12477 & 0 \\ weeknum51 & 1.48365 & 1.4104 & 1.5607 & 152.72707 & 0 \\ weeknum52 & 0.96206 & 0.91374 & 1.01295 & -1.47079 & 0.14135 \\ weeknum53 & 1.08627 & 1.02309 & 1.15334 & 2.70687 & 0.00679 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Estimated parameter values for Negative Binomial model (Full Model).