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UID:pretalx-sotm-africa-2023-Q3NQMR@pretalx.com
DTSTART;TZID=WAT:20231130T120500
DTEND;TZID=WAT:20231130T121000
DESCRIPTION:The Ohsome Dashboard has created an alternative way to understa
 nd OpenStreetMap (OSM) data\, providing a user-friendly interface to the e
 xtensive history of OSM. In this lightning talk\, we showcase the latest a
 ddition to the Ohsome Dashboard: quality metrics. With these metrics\, use
 rs gain insights not only into the historical evolution but also the compl
 eteness of OSM objects in a region.\n\nBy seamlessly integrating quality m
 etrics\, such as saturations\, into the Ohsome Dashboard\, users can now o
 btain a comprehensive overview of OSM data. This enhancement enables users
  to better understand the completeness and accuracy of OSM data\, uncover 
 hidden patterns\, identify data biases\, and make more informed decisions.
 \n\nResources:\n\n- [ohsome Dashboard](https://dashboard.ohsome.org/)\n- [
 ohsome](https://heigit.org/big-spatial-data-analytics-en/ohsome/)\n- [HeiG
 IT](https://heigit.org/)
DTSTAMP:20260713T214455Z
LOCATION:Auditorium
SUMMARY:History based quality measures of OpenStreetMap now in the ohsome d
 ashboard - Marcel Reinmuth
URL:https://pretalx.com/sotm-africa-2023/talk/Q3NQMR/
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UID:pretalx-sotm-africa-2023-VGJGKD@pretalx.com
DTSTART;TZID=WAT:20231201T140000
DTEND;TZID=WAT:20231201T142000
DESCRIPTION:Accessibility analyses have proven to be a successful concept o
 f spatial analysis\, offering valuable insights into various domains. One 
 widely used application is the assessment of accessibility to health infra
 structure with isochrone methods on local [1]\, regional [2] and global [3
 ] scale as well as contexts of disaster [1\, 4]. Moreover\, these analyses
  have evolved beyond simple metrics\, incorporating potential demand and c
 apacity to generate more comprehensive insights [5].\n\nSuch analyses\, of
 ten based on open-source routing engines like openrouteservice [6] with Op
 enStreetMap as a data source\, have enabled researchers to evaluate access
  to essential services. However\, many of these analyses suffer from limit
 ations that hinder their real-world impact. They rely on global assumption
 s about road networks and routing priorities\, lacking consideration for t
 he local context\, and frequently ignore traffic conditions [6].\n\nIn thi
 s talk\, we will present an improved approach to isochrone accessibility a
 nalysis with openrouteservice by incorporating traffic speed data from Ube
 r in the context of Nairobi\, Kenya. By addressing the limitations of exis
 ting methods\, which tend to underestimate travel time by neglecting traff
 ic conditions\, we aim to provide more accurate and realistic insights int
 o accessibility for necessary services within the city.\n\nThe global natu
 re of OpenStreetMap and the tools based on it allow us to easily evaluate 
 accessibility phenomena on a global scale. However\, to achieve meaningful
  impact\, it is crucial to bridge the gap between these analyses and the r
 eal world. By integrating traffic speed data into accessibility analysis\,
  we can overcome part of the challenge.\n\nThe integration of traffic spee
 d data into accessibility analysis holds substantial real-world implicatio
 ns. Accurately representing travel time empowers urban planners\, policyma
 kers\, and transportation authorities to make informed decisions regarding
  infrastructure development\, public transportation routes\, and traffic m
 anagement strategies. \n\nIn addition\, we will discuss the transferabilit
 y of our results to other regions\, given the scarcity of open traffic dat
 a sets from Uber and the commercial nature of other providers. This talk a
 ims to shed light on opportunities for opening or crowdsourcing such data\
 , facilitating broader applicability and knowledge sharing.\n\nReferences:
 \n\n[1] Klipper\, I. G.\, Zipf\, A.\, and Lautenbach\, S.: Flood Impact As
 sessment on Road Network and Healthcare Access at the example of Jakarta\,
  Indonesia\, AGILE GIScience Ser.\, 2\, 4\, \, 2021. https://doi.org/10.51
 94/agile-giss-2-4-2021\n\n[2] Geldsetzer\, P.\; Reinmuth\, M.\; Ouma\, P. 
 O.\, Lautenbach\, S.\; Okiro E. A.\; Bärnighausen\, T.\; Zipf\, A. Mappin
 g physical access to health care for older adults in sub-Saharan Africa an
 d implications for the COVID-19 response: a cross-sectional analysis. The 
 Lancet Healthy Longevity. 2020\;1(1):e32-e42. https://doi.org/10.1016/S266
 6-7568(20)30010-6))\n\n[3] Reinmuth\, M.: Open Healthcare Access Map. Isoc
 hrone based accessibility and population estimates globally. HeiGIT 2022. 
 https://apps.heigit.org/healthcare_access/#/\n\n[4] Petricola\, S.\, Reinm
 uth\, M.\, Lautenbach\, S. et al. Assessing road criticality and loss of h
 ealthcare accessibility during floods: the case of Cyclone Idai\, Mozambiq
 ue 2019. Int J Health Geogr 21\, 14 (2022). https://doi.org/10.1186/s12942
 -022-00315-2\n\n[5]Reinmuth\, M.\, Kitzinger M. and Zipf\, A.:Access to sa
 fe abortion in Germany: An overview of current accessibility by car. How w
 ill the situation evolve after the removal of §219a? State of the Map 202
 2\, FIrenze\, Italy. https://files.osmfoundation.org/s/MfweMaQyzaZiQ4p\n\n
 [7] Zia M\, Fürle J\, Ludwig C\, Lautenbach S\, Gumbrich S\, Zipf A. Soci
 alMedia2Traffic: Derivation of Traffic Information from Social Media Data.
  ISPRS International Journal of Geo-Information. 2022\; 11(9):482. https:/
 /doi.org/10.3390/ijgi11090482
DTSTAMP:20260713T214455Z
LOCATION:Room 1
SUMMARY:Traffic-Aware Isochrone methods: Accessibility Analysis incorporati
 ng Traffic Speed Data for Nairobi\, Kenya - Marcel Reinmuth
URL:https://pretalx.com/sotm-africa-2023/talk/VGJGKD/
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