Generation of a tailored routing network for disabled people based on collaboratively collected geodata

Applied Geography

Volumn 47, Issue , 2014, Pages 70-77

  Neis, Pascal ^a   Zielstra, Dennis ^b  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Collaborative mapping; Disabled people; Route generation; Routing graph

Indexed keywords

ALGORITHM; COMPUTER SIMULATION; DISABILITY; IMPLEMENTATION PROCESS; MAPPING; NUMERICAL MODEL; SOFTWARE; SPATIAL ANALYSIS;

EUROPE;

EID: 84891366063     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2013.12.004     Document Type: Article

References (47)

1. Anderson P. What is web 2.0? Ideas, technologies and implications for education 2007, JISC, Bristol, UK, Available online:, Accessed 05.10.13. http://www.jisc.ac.uk/media/documents/techwatch/tsw0701b.pdf.
2. Ballester, M. G., Pérez, M. R., & Stuiver, H. J. (18-21 April 2011). Automatic pedestrian network generation. In Proceedings of the 14th AGILE international conference on geographic information science. Utrecht, The Netherlands.
3. Beale L., Field K., Briggs D., Picton P., Matthews H. Mapping for wheelchair users: route navigation in urban spaces. The Cartographic Journal 2006, 43(1):68-81.
4. Bono B., Gutiérrez E. Anetwork-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks. Journal of Transport Geography 2011, 19(6):1443-1455.
5. Brando, C., & Bucher, B. (10-14 May 2010). Quality in user-generated spatial content: a matter of specifications. In Proceedings of the 13th AGILE international conference on geographic information science. Guimarães, Portugal.
6. Brown G. An empirical evaluation of the spatial accuracy of public participation GIS (PPGIS) data. Applied Geography 2012, 34:289-294.
7. Budhathoki N.R., Haythornthwaite C. Motivation for open collaboration: crowd and community models and the case of OpenStreetMap. American Behavioral Scientist 2012, 57(5):548-575.
8. Charles S.H., Kincho H.L., Jean-Claude L., John C.K. Aperformance-based approach to wheelchair accessible route analysis. Advanced Engineering Informatics 2002, 16(1):53-71.
9. Corona, B., & Winter, S. (4-6 July 2001). Datasets for pedestrian navigation services. In Proceedings of the AGIT symposium. Salzburg, Austria.
10. Ding, D., Parmanto, B., Karimi, H. A., Roongpiboonsopit, D., Pramana, G., Conahan, T., etal. (23-26 August 2007). Design considerations for a personalized wheelchair navigation system. In Proceedings of the 29th annual international conference of the IEEE EMBS Cité Internationale. Lyon, France.
11. Flanagin A.J., Metzger M.J. The credibility of volunteered geographic information. GeoJournal 2008, 72(3-4):137-148.
12. Gaisbauer, C., & Frank, A. U. (5-8 May 2008). Wayfinding model for pedestrian navigation. In Proceedings of the 11th AGILE international conference on geographic information science 2008. Rome, Italy.
13. Girres J.F., Touya G. Quality assessment of the French OpenStreetMap dataset. Transaction in GIS 2010, 14:435-459.
14. Goetz M. Using crowd-sourced indoor geodata for the creation of a three-dimensional indoor routing web application. Future Internet 2012, 4:575-591.
15. Goetz M. Towards generating highly detailed 3D CityGML models from OpenStreetMap. International Journal of Geographical Information Science 2012, 27(5):1-21.
16. Goodchild M.F. Citizens as sensors: the world of volunteered geography. GeoJournal 2007, 69:211-221.
17. Goodchild M.F., Hunter G.J. Asimple positional accuracy measure for linear features. International Journal of Geographical Information Science 1997, 11(3):299-306.
18. Hagenauer J., Helbich M. Mining urban land use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks. International Journal of Geographical Information Science 2012, 26(6):963-982.
19. Haklay M. How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets. Environment and Planning B: Planning and Design 2010, 37(4):682-703.
20. Kammoun S., Dramas F., Oriola B., Jouffrais C. Route selection algorithm for blind pedestrian. Proceedings of the international conference on control, automation and systems 27-30 October 2010, KINTEX, Gyeonggi-do, Korea.
21. Karimi H.A., Kasemsuppakorn P. Pedestrian network map generation approaches and recommendation. International Journal of Geographical Information Science 2012, 27(5):947-962.
22. Kasemsuppakorna P., Karimia H.A. Personalised routing for wheelchair navigation. Journal of Location Based Services 2009, 3(1):24-54.
23. Kasemsuppakorn, P., & Karimi, H. A. (13-15 May 2008). Data requirements and spatial database for personalized wheelchair navigation. In Proceedings of the 2nd international convention on rehabilitation engineering & assistive technology. Bangkok, Thailand.
24. Kasemsuppakorn P., Karimi H.A. Apedestrian network construction algorithm based on multiple GPS traces. Transportation Research Part C: Emerging Technologies 2013, 26:285-300.
25. Kim, J., Park, S. Y., Bang, Y., & Yu, K. (16-19 November 2009). Automatic derivation of a pedestrian network based on existing spatial datasets. In Proceedings of the ASPRS/MAPPS 2009 Fall conference. San Antonio, Texas.
26. Matthews H., Beale L., Picton P., Briggs D. Modelling access with GIS in urban systems (MAGUS): capturing the experiences of wheelchair users. Area 2003, 35(1):34-45.
27. Menkens, C., Sussmann, J., Al-Ali, M., Breitsameter, E., Frtunik, J., Nendel, T., etal. (11-13 April 2011). EasyWheel - a mobile social navigation and support system for wheelchair users. In Proceedings of the 8th international conference on information technology: New generations. Las Vegas, Nevada, USA.
28. Moghadam H.S., Helbich M. Spatiotemporal urbanization processes in the megacity of Mumbai, India: a Markov chains-cellular automata urban growth model. Applied Geography 2013, 40:140-149.
29. Mondzech J., Sester M. Quality analysis of OpenStreetMap data based on application needs. Cartographica 2011, 46(2):115-125.
30. Mooney P., Corcoran P., Ciepluch B. The potential for using volunteered geographic information in pervasive health computing applications. Journal of Ambient Intelligence and Humanized Computing 2012, 1-15.
31. Mooney, P., Corcoran, P., & Winstanley, A. C. (2-5 November 2010). Towards quality metrics for OpenStreetMap. In Proceedings of the 18th ACM SIGSPATIAL international conference on advances in geographic information systems. San Jose, California.
32. Neis P., Goetz M., Zipf A. Towards automatic vandalism detection in OpenStreetMap. ISPRS International Journal of Geo-Information 2012, 1(3):315-332.
33. Neis P., Zielstra D., Zipf A. The street network evolution of crowd-sourced maps: OpenStreetMap in Germany 2007-2011. Future Internet 2012, 4(1):1-21.
34. Neis P., Zielstra D., Zipf A. Comparison of volunteered geographic information data contributions and community development for selected world regions. Future Internet 2013, 5(2):282-300.
35. Neis, P., & Zipf, A. (2-4 April 2008). OpenRouteService.org is three times "Open": combining OpenSource, OpenLS and OpenStreetMaps. In Proceedings of the GIS research UK 16th annual conference GISRUK 2008. Manchester, UK.
36. Neis P., Zipf A. Analyzing the contributor activity of a volunteered geographic information project - the case of OpenStreetMap. ISPRS International Journal of Geo-Information 2012, 1(2):146-165.
37. Nielsen J. Participation inequality: Encouraging more users to contribute 2006, Available online:, Accessed 05.10.13. http://www.nngroup.com/articles/participation-inequality.
38. OSMstats Statistics of the free wiki world map 2013, Available online:, Accessed 05.10.13. http://osmstats.altogetherlost.com.
39. Pielot M., Boll S. Tactile Wayfinder: comparison of tactile Waypoint navigation with commercial pedestrian navigation systems. Lecture Notes in Computer Science 2010, 6030:6-93. Pervasive Computing.
40. Ramm F., Topf J., Chilton S. OpenStreetMap: Using and enhancing the free map of the world 2010, UIT, Cambridge, UK. 1st ed.
41. Renz, J., & Wölfl, S. (16-20 August 2010). A Qualitative representation of route networks. In Proceedings of the 19th European conference on artificial intelligence. Lisbon, Portugal.
42. Schmitz, S., Zipf, A., & Neis, P. (4-6 November 2008). New applications based on collaborative geodata - the case of routing. In Proceedings of the 18th international congress on collaborative mapping and space technology. Gandhinagar, Gujarat, India.
43. Sobek A., Miller H. U-Access: a web-based system for routing pedestrians of differing abilities. Journal of Geographical Systems 2006, 8(3):269-287.
44. Walter, V., Kada, M., & Chen, H. (2006). Shortest path analyses in raster maps for pedestrian navigation in location based systems. In Proceedings of the international symposium on geospatial databases for sustainable development. Goa, India.
45. Zielstra D., Hochmair H.H. Digital street data: free versus proprietary. GIM International 2011, 25:29-33.
46. Zielstra D., Hochmair H.H. Comparative study of pedestrian accessibility to transit Stations using free and proprietary network data. Transportation Research Record: Journal of the Transportation Research Board 2011, 2217:145-152.
47. Zielstra D., Hochmair H.H. Comparison of shortest path lengths for pedestrian routing in street networks using free and proprietary data. Transportation Research Record: Journal of the Transportation Research Board 2012, 2299:41-47.