Improving Commuter Safety Through Geographical Crime Data Mapping
| dc.contributor.advisor | Walsh, Greg | |
| dc.contributor.author | Mizell, Adam | |
| dc.contributor.department | University of Baltimore. Division of Science, Information Arts, and Technologies. | en_US |
| dc.contributor.program | University of Baltimore. Master of Science in Interaction Design and Information Architecture. | en_US |
| dc.date.accessioned | 2021-06-10T14:10:26Z | |
| dc.date.available | 2021-06-10T14:10:26Z | |
| dc.date.issued | 2021-06-09 | |
| dc.description | Thesis submitted to the Yale Gordon College of Arts and Sciences of the University of Baltimore in partial fulfillment of the requirements for the degree of Master of Science in Interaction Design and Information Architecture. | |
| dc.description | M.S. -- University of Baltimore, 2021 | |
| dc.description.abstract | Due to the rapid increase in mobile technology, many people use a smartphone on a daily basis to commute. However, the current mobile map applications lack the ability to visualize how safe the route will be, especially for people who commute by walking. This research presents a prototype for a mobile application that can be used to combine geographical crime data with a map-based route, as well as research on the existing geographical crime data routing solutions, mobile usability issues, and data visualization methodologies. This research also includes a usability evaluation of the prototype to identify usability issues that can be improved. The results suggest recommendations on how geographical crime data can be used to improve commuter safety through map routes that are dynamically generated based on the crime statistics. | en_US |
| dc.description.uri | https://github.com/amm150/CrimeRouteApp | en_US |
| dc.format.extent | 45 leaves | en_US |
| dc.format.mimetype | application/pdf | |
| dc.genre | theses | en_US |
| dc.identifier | doi:10.13016/m2an0m-ttfs | |
| dc.identifier.other | UB_2021_Mizell_A | |
| dc.identifier.uri | http://hdl.handle.net/11603/21715 | |
| dc.language.iso | en_US | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights | This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by the University of Baltimore for non-commercial research and educational purposes. | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | Data Analysis | en_US |
| dc.subject | crime | en_US |
| dc.subject | Crime Prediction | en_US |
| dc.subject | Geographic Information Science | en_US |
| dc.subject | Mobile interfaces | en_US |
| dc.subject | application development | en_US |
| dc.title | Improving Commuter Safety Through Geographical Crime Data Mapping | en_US |
| dc.type | Text | en_US |
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