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Documents authored by Wang, Jia

Document
Short Paper
DOI: 10.4230/LIPIcs.GIScience.2023.67
A Personalised Pedestrian Navigation System (Short Paper)

Authors: Urmi Shah and Jia Wang

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)

Abstract
Many existing navigation systems facilitate pedestrian routing but lack the provision of personalised route alternatives tailored to individual needs. Previous research suggests that pedestrians often prioritise factors such as safety or accessibility over the shortest possible route. This paper investigates ways to enhance existing pedestrian navigation systems and improve walking experiences by providing personalised routes based on walking preferences. This is achieved by defining a set of routing preferences and implementing a modified version of Dijkstra’s algorithm. The goal of this work is to promote walking by enhancing mobility, accessibility, comfort, and safety.
Cite as

Urmi Shah and Jia Wang. A Personalised Pedestrian Navigation System (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 67:1-67:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{shah_et_al:LIPIcs.GIScience.2023.67,
  author =	{Shah, Urmi and Wang, Jia},
  title =	{{A Personalised Pedestrian Navigation System}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{67:1--67:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.67},
  URN =		{urn:nbn:de:0030-drops-189628},
  doi =		{10.4230/LIPIcs.GIScience.2023.67},
  annote =	{Keywords: Pedestrian, Navigation, Walking, Preference, Graph}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.GIScience.2023.79
Application of GIS in Public Health Practice: A Consortium’s Approach to Tackling Travel Delays in Obstetric Emergencies in Urban Areas (Short Paper)

Authors: Jia Wang, Itohan Osayande, Peter M. Macharia, Prestige Tatenda Makanga, Kerry L. M. Wong, Tope Olubodun, Uchenna Gwacham-Anisiobi, Olakunmi Ogunyemi, Abimbola Olaniran, Ibukun-Oluwa O. Abejirinde, Lenka Beňová, Bosede B. Afolabi, and Aduragbemi Banke-Thomas

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)

Abstract
Geographic Information System (GIS) has become an effective and reliable tool for researchers, policymakers, and decision-makers to map health outcomes and inform targeted planning, evaluation, and monitoring. With the advent of big data-enabled GIS, researchers can now identify disparities and spatial inequalities in health at more granular levels, enabling them to provide more accurate and robust services and products for healthcare. This paper aims to showcase the progress of the On Tackling In-transit Delays for Mothers in Emergency (OnTIME) project, which is a unique collaborative effort between academia, policymakers, and industrial partners. The paper demonstrates how the limitations of traditional spatial accessibility models and data gaps have been overcome by combining GIS and big data to map the geographic accessibility and coverage of health facilities capable of providing emergency obstetric care (EmOC) in conurbations in Africa. The OnTIME project employs various GIS technologies and concepts, such as big spatial data, spatial databases, and public participation geographic information systems (PPGIS). We provide an overview of these concepts in relation to the OnTIME project to demonstrate the application of GIS in public health practice.
Cite as

Jia Wang, Itohan Osayande, Peter M. Macharia, Prestige Tatenda Makanga, Kerry L. M. Wong, Tope Olubodun, Uchenna Gwacham-Anisiobi, Olakunmi Ogunyemi, Abimbola Olaniran, Ibukun-Oluwa O. Abejirinde, Lenka Beňová, Bosede B. Afolabi, and Aduragbemi Banke-Thomas. Application of GIS in Public Health Practice: A Consortium’s Approach to Tackling Travel Delays in Obstetric Emergencies in Urban Areas (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 79:1-79:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{wang_et_al:LIPIcs.GIScience.2023.79,
  author =	{Wang, Jia and Osayande, Itohan and Macharia, Peter M. and Makanga, Prestige Tatenda and Wong, Kerry L. M. and Olubodun, Tope and Gwacham-Anisiobi, Uchenna and Ogunyemi, Olakunmi and Olaniran, Abimbola and Abejirinde, Ibukun-Oluwa O. and Be\v{n}ov\'{a}, Lenka and Afolabi, Bosede B. and Banke-Thomas, Aduragbemi},
  title =	{{Application of GIS in Public Health Practice: A Consortium’s Approach to Tackling Travel Delays in Obstetric Emergencies in Urban Areas}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{79:1--79:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.79},
  URN =		{urn:nbn:de:0030-drops-189748},
  doi =		{10.4230/LIPIcs.GIScience.2023.79},
  annote =	{Keywords: GIS, Public Health, Accessibility, OnTIME, EmOC, Public Participation GIS, Big Data, Google}
}
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