Compare The Software Used To Present The Spatial Residential Location Of UNLV

For a visualization purpose, the QGIS (2.8 version) was used. The software helped to prepare the map to present the spatial residential location of the UNLV commuters. The map given in Figure 3 presents the distribution of the commuters based on their residency. The map presented that the most of commuters to UNLV (around 9.34%) was from the area having zip code 89119 which is surrounding the UNLV compound.

The commuters mentioned that most of them visit mainly three buildings inside the universities. The most frequently visited buildings marked by circles were the Lied Library Building (LLB - 29%), the Student Union (SU – 27%), and the Classroom Building Complex (CBC- 23%). The full form of the all building code are given in appendix E. Figure 4 presents the percentage distributions of the UNLV building commuters.

Because, most commuters prefer a short distance between their home and the school or the working place. That is why the biggest number of commuters that was around 9.34% commuters to UNLV were residing nearby UNLV. Farther the distance from UNLV, Figure 3 shows the less number of commuters. However, the area with zip code 89074 and 89052 were highly preferred places by the commuters to live. Figure 3 shows that these both area had more than 4% commuters to UNLV. Hence, RTC may need to plan a new bus route from these areas to the UNLV transit