Information Processing at Subway New York City

Information Processing at Subway New York City

Literature Review

Plenty of research exists concerning information consumption of commuters at the New York subway. The study by Lopatovska et al. (2011) reveals that the majority of the passengers depended on several devices of communication for listening to music, typing, and reading. Some, however, did not actively take part in the usage of information devices (Lopatovska et al. 2011). According to these researchers, the reason commuters use mobile devices is for entertainment and productive use, like communicating with other people.

The research by Brossard, Abed, Kolski & Uster (2009) indicates that the research question is a relevant one to study. The reason these researchers provide is that the availability of portable communication gadgets empowers commuters with access to a lot of information at any time. Thus, there is a need to ensure that users find access to relevant information (Brossard, Abed, Kolski & Uster, 2009). In the research question, the issue of crowdedness and how it affects commuters is raised. Ma and his colleagues, in their investigation, answers this question by stating that commuting mirrors the long-term travel conduct of individuals and altogether impacts urban traffic emission and congestion.

In terms of information consumption by commuters, the research question raises several other imperative issues.  According to Belloni, Holmquist & Tholander (2009), some of these questions include issues of changes to the manners in which individuals mingle and a large group of protection concerns. Different inquiries raised relates the conceivably clearing effect of area benefits just as how physical world setting ought to be captured and consolidated (Belloni, Holmquist & Tholander, 2009). One of the gaps that exist in available literature is the lack of efforts aimed at reducing the challenge of crowdedness in subways. Tuckel, Benediktsson, & Milczarksi (2016) reiterates this issue in their research. They state that relevant MTA authorities should commit to ensuring that there is enough space in travel spaces. This way, the outdated physical foundation of the city’s subway framework can be commuter-friendly.

References

Belloni, N., Holmquist, L. E., & Tholander, J. (2009). See you on the subway: exploring mobile    social software. In CHI’09 Extended Abstracts on Human Factors in Computing Systems           (pp. 4543-4548).

Brossard, A., Abed, M., Kolski, C., & Uster, G. (2009, September). User modeling: the    consideration of the experience of time during journeys in public transportation. In         Proceedings of the 6th International Conference on Mobile Technology, Application &    Systems (pp. 1-4).

Lopatovska, I., Basen, A. S., Duneja, A. M., Kwong, H., Pasquinelli, D. L., Sopab, S., … &          Weller, C. (2011). Information behavior of New York City subway commuters.          Information Research, 16(4).

Ma, X., Liu, C., Wen, H., Wang, Y., & Wu, Y. J. (2017). Understanding commuting patterns       using transit smart card data. Journal of Transport Geography, 58, 135-145.

Tuckel, P., Benediktsson, M., & Milczarksi, W. (2016). Behavior of New York City Subway        Riders.