dc.contributor.advisor | Menezes, Ronaldo | |
dc.contributor.author | Da Cunha Oliveira Junior, Marcos Antonio | |
dc.date.accessioned | 2018-02-14T16:58:45Z | |
dc.date.available | 2018-02-14T16:58:45Z | |
dc.date.created | 2017-12 | |
dc.date.issued | 2017-12 | |
dc.date.submitted | December 2017 | |
dc.identifier.uri | http://hdl.handle.net/11141/2328 | |
dc.description | Thesis (Ph.D.) - Florida Institute of Technology, 2017 | en_US |
dc.description.abstract | Crime is ubiquitous in cities but lacks a statistical characterization that could lead
to uncovering its underlying mechanisms. Cities are, however, in a constant process
of organization making difficult to analyze urban phenomena. Yet, to understand
urbanization and its consequences, we need to approach cities as evolving processes,
instead of static objects. With this perspective, we examined regularities
in crime regarding its growth, structure, and dynamics. We developed frameworks
to examine the spatial, temporal, and periodic variations of crime in cities. Though
thefts increase super-linearly with the population, we found burglaries showing a
linear increase. Our analyses also confirmed crime concentrating spatially regardless
of city, with concentration level independent of city size. The results revealed
this concentration described approximated with a power-law distribution with exponent
α depending on crime type. We confirmed circannual rhythms in the time
series and showed this periodicity occurring unevenly across the city. Our results
revealed these criminal waves moving across the city: while cities have a stable
number of regions with a circannual period, regions display non-stationarity on
period. The spatial regularities coupled with the constant changes suggest an
understanding of crime as a complex phenomenon—a perspective that demands
analyses and evolving urban policies covering the whole city. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en_US |
dc.rights | CC BY-SA 4.0 | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/legalcode | en_US |
dc.title | The Growth, Structure, and Dynamics of Crime in Cities | en_US |
dc.type | Dissertation | en_US |
dc.date.updated | 2018-01-09T16:16:02Z | |
thesis.degree.name | Doctor of Philosophy in Computer Science | en_US |
thesis.degree.level | Doctoral | en_US |
thesis.degree.discipline | Computer Science | en_US |
thesis.degree.department | Computer Sciences | en_US |
thesis.degree.grantor | Florida Institute of Technology | en_US |
dc.type.material | text | |