BibTeX

@mastersthesis{LAAUODP18,
	author	 = {Martin Poppinga},
	title	 = {{Large-Scale Accessibility Analysis Using OpenStreetMap Data}},
	advisors	 = {Julian Kunkel},
	year	 = {2018},
	month	 = {06},
	school	 = {Universität Hamburg},
	howpublished	 = {{Online \url{{{:research:theses:martin_poppinga_large_scale_accessibility_analysis_using_openstreetmap_data.pdf|Thesis}}}}},
	type	 = {Master's Thesis},
	abstract	 = {By using accessibility analyses, the quality of coverage of institutions can be determined, giving knowledge how many persons can be reached within a given time. Such analyses have a variety of use-cases in the public, private and commercial sector. Existing approaches showed precise results only for smaller regions or were at the expense of precision in a small-scale context. Additionally, the used datasets and software frameworks are often proprietary, which hinders reproducibility in research. In this thesis, it is shown that large-scale accessibility analyses are possible using open data while retaining a high precision. Also, the data cleaning and preparation is presented. Further is demonstrated that obtained information from different analyses can be combined for more complex analyses and can be used for solving location optimization problems. For evaluation, different studies for Germany are sketched, and the outcomes are shown. Examples are the coverage of fire stations, hospitals, stroke units or charging stations for electric cars. The results show that it is possible to achieve a more precise resolution as existing approaches, enabling analyses using small-scaled aspects while maintaining country-sized expansion and acceptable computation times. This advancement enables, for example, further studies in spatial and urban research.},
}