## 5 Results and Discussion
### Results from Consideration Propensity Model
#### 5.1.2 Segment-Wise Variations in Key Factors Influencing Consideration
\begin{table}
\begin{tabular}{l c c c c c c c c} \hline \hline \multirow{2}{*}{**Variables**} & \multirow{2}{*}{**Unsegmented Model**} & \multicolumn{3}{c}{**Segment 1:**} & \multicolumn{3}{c}{**Segment 2:**} & \multicolumn{3}{c}{**Segment 3:**} \\  & & \multicolumn{3}{c}{**Low Personal**} & \multicolumn{3}{c}{**Medium Personal**} & \multicolumn{3}{c}{**High Personal**} \\  & & \multicolumn{3}{c}{**Mobility (LPM)**} & \multicolumn{3}{c}{**Mobility (MPM)**} & \multicolumn{3}{c}{**Mobility (HPM)**} \\ \cline{2-10}  & **Coef** & **t-Stat*** & **Coef** & **t-Stat** & **Coef** & **t-Stat** & **Coef** & **t-Stat** \\ \hline \multicolumn{10}{l}{**First- and last-mile connectivity**} \\ \hline Access distance to the bus stop near home, in km. & 0.19 & 0.82 & & 0.58 & 1.71 & & \\ \hline Train station near home (\textless{}1.5 km) (1/0). & 0.36 & 1.68 & 0.34 & 1.59 & 0.34 & 1.59 & 0.34 & 1.59 \\ \hline Access time to the nearest train station from home, in minutes. & \(-\)0.02 & \(-\)1.84 & \(-\)0.02 & \(-\)1.90 & \(-\)0.02 & \(-\)1.90 & \(-\)0.02 & \(-\)1.90 \\ \hline Egress distance to the nearest train station, in km. & \(-\)0.07 & \(-\)2.98 & \(-\)0.07 & \(-\)3.22 & \(-\)0.07 & \(-\)3.22 & \(-\)0.07 & \(-\)3.22 \\ \hline Access shared auto cost to reach the train station for MPM segment users, in Rs. & \(-\)0.16 & \(-\)1.93 & & & \(-\)0.17 & \(-\)2.09 & & \\ \hline Egress shared auto cost to reach the train station for MPM segment users, in Rs. & \(-\)0.08 & \(-\)1.47 & & & \(-\)0.08 & \(-\)1.65 & & \\ \hline \multicolumn{10}{l}{**Walkability**} \\ \hline Percieves that the usability of footpath is medium or good (1/0). & 0.51 & 2.83 & 0.57 & 2.45 & 0.57 & 2.45 & & \\ \hline Finds it is easy to walk or crossroads to reach train station (1/0). & 0.42 & 2.05 & 1.47 & 2.77 & & 0.64 & 2.00 \\ \hline \multicolumn{10}{l}{**Perceptions about train travel**} \\ \hline Feels train travel causes high discomfort (1/0). & \(-\)0.40 & \(-\)1.82 & & & & \(-\)0.46 & \(-\)1.42 \\ \hline Finds easy to get a ticket for train travel (1/0). & 0.26 & 1.27 & & & & 0.65 & 2.09 \\ \hline Shop or Restaurant within walking distance from the train station (1/0). & 0.36 & 1.70 & & & & 0.51 & 1.60 \\ \hline Users who face a penalty for arriving late for work (1/0). & \(-\)0.88 & \(-\)3.05 & & \(-\)1.05 & \(-\)3.17 & \(-\)1.05 & \(-\)3.17 \\ \hline Percives that there is low security for women in train (1/0). & \(-\)1.05 & \(-\)3.31 & & \(-\)1.16 & \(-\)3.20 & \(-\)1.16 & \(-\)3.20 \\ \hline Percieves that there is moderate security for women in train (1/0). & \(-\)0.35 & \(-\)1.64 & & \(-\)0.32 & \(-\)1.46 & \(-\)0.32 & \(-\)1.46 \\ \hline \multicolumn{10}{l}{**Personal and work characteristics**} \\ \hline Percieves road congestion is medium or high while traveling to work (1/0). & 0.72 & 2.78 & & 1.07 & 3.58 & & \\ \hline Trip distance, in km. & 0.07 & 6.25 & 0.05 & 1.53 & 0.07 & 6.26 & 0.07 & 6.26 \\ \hline Male (1/0). & 0.56 & 2.31 & 1.20 & 1.69 & 0.70 & 1.90 & & \\ \hline Young (\textless{}25 years) and Male (1/0). & 0.13 & 0.55 & 1.22 & 1.99 & & & \\ \hline High Education (post-graduation level) (1/0). & 0.48 & 2.31 & 0.45 & 2.17 & 0.45 & 2.17 & 0.45 & 2.17 \\ \hline \multicolumn{10}{l}{**Summary statistics**} \\ \hline Number of Observations & 803.00 & & & 803.00 & & & \\ Initial Log-Likelihood & \(-\)556.60 & & & \(-\)556.60 & & \\ Final Log-Likelihood & \(-\)423.78 & & & \(-\)414.73 & & \\ \(\rho^{2}\) & 0.24 & & & 0.25 & & \\ \hline \(\chi\)2 test statistic & 18.77 (critical value = 15.086 at 0.01 significance level and 5 degrees of freedom) & & & & \\ \hline \multicolumn{10}{l}{\({}^{\star}\) Italicized t-stats are insignificant at 85\% one-sided.} \\ \end{tabular}
\end{table} 
Table 4: _Cont._(\(-1.42\) and \(-0.65\), respectively). The following discussion highlights that, besides the effect of personal mobility resources, other key determinants in train consideration also vary across the segments. 1.