{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T21:56:56Z","timestamp":1791669416520,"version":"4.3.4"},"reference-count":38,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T00:00:00Z","timestamp":1579564800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Spatial Information Research Program (NSIP) funded by Ministry of Land, Infrastructure and Transport of Korean government","award":["19NSIP-B135746-03"],"award-info":[{"award-number":["19NSIP-B135746-03"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The increasing complexity of modern buildings has challenged the mobility of people with disabilities (PWD) in the indoor environment. To help overcome this problem, this paper proposes a data model that can be easily applied to indoor spatial information services for people with disabilities. In the proposed model, features are defined based on relevant regulations that stipulate significant mobility factors for people with disabilities. To validate the model\u2019s capability to describe the indoor spaces in terms that are relevant to people with mobility disabilities, the model was used to generate data in a path planning application, considering two different cases in a shopping mall. The application confirmed that routes for people with mobility disabilities are significantly different from those of ordinary pedestrians, in a way that reflects features and attributes defined in the proposed data model. The latter can be inserted as an IndoorGML extension, and is thus expected to facilitate relevant data generation for the design of various services for people with disabilities.<\/jats:p>","DOI":"10.3390\/ijgi9020066","type":"journal-article","created":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T11:25:59Z","timestamp":1579605959000},"page":"66","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Data Model for IndoorGML Extension to Support Indoor Navigation of People with Mobility Disabilities"],"prefix":"10.3390","volume":"9","author":[{"given":"Seula","family":"Park","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kiyun","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiyoung","family":"Kim","sequence":"additional","affiliation":[{"name":"Social Eco Tech Institute, Konkuk University, Seoul 05029, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,21]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"Basic concepts of indoor spatial information candidate standard IndoorGML and its applications","volume":"21","author":"Li","year":"2013","journal-title":"J. Korea Spat. Inf. Soc."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Kang, H.K., and Li, K.J. (2017). A standard indoor spatial data model\u2014OGC IndoorGML and implementation approaches. ISPRS Int. J. GeoInf., 6.","DOI":"10.3390\/ijgi6040116"},{"key":"ref_3","unstructured":"Afghantoloee, A., and Mostafavi, M.A. (2018, January 28\u201331). Towards optimal deployment of a sensor network in a 3D indoor environment for the mobility of people with disabilities. Proceedings of the 10th International Conference on Geographic Information Science, Melbourne, Australia."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.compenvurbsys.2013.05.001","article-title":"A BIM-oriented model for supporting indoor navigation requirements","volume":"41","author":"Isikdag","year":"2013","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Iida, H., Hiroi, K., Kaji, K., and Kawaguchi, N. (2014, January 4\u20137). A proposal of IndoorGML extended data model for pedestrian-oriented voice navigation system. Proceedings of the Seventh ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, Dallas, TX, USA.","DOI":"10.1145\/2834812.2834814"},{"key":"ref_6","first-page":"289","article-title":"A review of recent research in indoor modelling & mapping","volume":"41","author":"Gunduz","year":"2016","journal-title":"ISPRS Arch."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Li, W., Hu, D., and Lin, Z. (2018, January 22\u201323). Indoor Space Dimensional Model Supporting the Barrier-free Path-finding. Proceedings of the 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services, Wuhan, China.","DOI":"10.1109\/UPINLBS.2018.8559723"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Maheshwari, N., Srivastava, S., and Rajan, K.S. (2019). Development of an indoor space semantic model and its implementation as an IndoorGML extension. ISPRS Int. J. GeoInf., 8.","DOI":"10.3390\/ijgi8080333"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Kim, Y., Kang, H., and Lee, J. (2014). Developing CityGML indoor ADE to manage indoor facilities. Innovations in 3D Geo-Information Sciences, Springer.","DOI":"10.1007\/978-3-319-00515-7_15"},{"key":"ref_10","first-page":"4","article-title":"Towards generating semantically-rich IndoorGML data from architectural plans","volume":"42","author":"Srivastava","year":"2018","journal-title":"ISPRS Arch."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Jung, H.J., and Lee, J. (2017). Development of an omnidirectional-image-based data model through extending the IndoorGML concept to an indoor patrol service. J. Sens.","DOI":"10.1155\/2017\/5379106"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Lin, Z., Xu, Z., Hu, D., Hu, Q., and Li, W. (2017). Hybrid spatial data model for indoor space: Combined topology and grid. ISPRS Int. J. GeoInf., 6.","DOI":"10.3390\/ijgi6110343"},{"key":"ref_13","unstructured":"Alattas, A., Zlatanova, S., van Oosterom, P., and Li, K.J. (2018, January 28\u201331). Improved and more complete conceptual model for the revision of IndoorGML. Proceedings of the 10th International Conference on Geographic Information Science, Melbourne, Australia."},{"key":"ref_14","first-page":"459","article-title":"Automatic extraction of IndoorGML core model from OpenStreetMap","volume":"40","author":"Mirvahabi","year":"2015","journal-title":"ISPRS Arch."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Atila, U., Karas, I., Turan, M., and Rahman, A. (2014). Automatic generation of 3D networks in CityGML and design of an intelligent individual evacuation model for building fires within the scope of 3D GIS. Innovations in 3D Geo-Information Sciences, Springer.","DOI":"10.1007\/978-3-319-00515-7_8"},{"key":"ref_16","first-page":"4","article-title":"Using the combined ladm-indoorgml model to support building evacuation","volume":"42","author":"Alattas","year":"2018","journal-title":"ISPRS Arch."},{"key":"ref_17","first-page":"343","article-title":"Towards the integration of IndoorGML and IndoorlocationGML for indoor applications","volume":"4","author":"Liu","year":"2017","journal-title":"ISPRS Ann."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Liu, L., and Zlatanova, S. (2012, January 6). A semantic data model for indoor navigation. Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, Redondo Beach, CA, USA.","DOI":"10.1145\/2442616.2442618"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Kostic, N., and Scheider, S. (2015). Automated generation of indoor accessibility information for mobility-impaired individuals. AGILE 2015, Springer.","DOI":"10.1007\/978-3-319-16787-9_14"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1111\/j.1467-9671.2010.01198.x","article-title":"Indoor routing for individuals with special needs and preferences","volume":"14","author":"Karimi","year":"2010","journal-title":"Trans. GIS"},{"key":"ref_21","unstructured":"Department of Justice (2010). 2010 ADA Standards for Accessible Design."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"04015056","DOI":"10.1061\/(ASCE)CP.1943-5487.0000534","article-title":"Indoor spatial model and accessibility index for emergency evacuation of people with disabilities","volume":"30","author":"Hashemi","year":"2015","journal-title":"J. Comput. Civ. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1195","DOI":"10.1007\/s10694-018-0735-x","article-title":"Dynamic, stream-balancing, turn-minimizing, accessible wayfinding for emergency evacuation of people who use a wheelchair","volume":"54","author":"Hashemi","year":"2018","journal-title":"Fire Technol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"102845","DOI":"10.1016\/j.autcon.2019.102845","article-title":"Indoor walkability index: BIM-enabled approach to quantifying building circulation","volume":"106","author":"Shin","year":"2019","journal-title":"Autom. Constr."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Wang, Z., and Niu, L. (2018). A data model for using OpenStreetMap to integrate indoor and outdoor route planning. Sensors, 18.","DOI":"10.3390\/s18072100"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Megalingam, R.K., Rajendran, A.P., Dileepkumar, D., and Soloman, A.T. (2013, January 20\u201323). LARN: Indoor navigation for elderly and physically challenged. Proceedings of the IEEE Global Humanitarian Technology Conference, San Jose, CA, USA.","DOI":"10.1109\/GHTC.2013.6713705"},{"key":"ref_27","first-page":"111","article-title":"Indoor navigation for motion disabled persons in medical facilities","volume":"14","author":"Fleiner","year":"2017","journal-title":"Acta Polytech. Hung."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2821","DOI":"10.3390\/ijgi4042821","article-title":"An approach for indoor path computation among obstacles that considers user dimension","volume":"4","author":"Liu","year":"2015","journal-title":"ISPRS Int. J. GeoInf."},{"key":"ref_29","first-page":"339","article-title":"An indoor navigation approach considering obstacles and space subdivision of 2D plan","volume":"41","author":"Xu","year":"2016","journal-title":"ISPRS Arch."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Xu, M., Wei, S., Zlatanova, S., and Zhang, R. (2017). BIM-based indoor path planning considering obstacles. ISPRS Ann., 4.","DOI":"10.5194\/isprs-annals-IV-2-W4-417-2017"},{"key":"ref_31","unstructured":"Li, K.J., Lee, J., Zlatanova, S., Kolbe, T.H., Nagel, C., and Becker, T. (2016). OGC IndoorGML, Version 1.0.3, Open Geospatial Consortium. Available online: http:\/\/docs.opengeospatial.org\/is\/14-005r5\/14-005r5.html."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Li, K.J., Conti, G., Konstantinidis, E., Zlatanova, S., and Bamidis, P. (2019). OGC IndoorGML: A standard approach for indoor maps. Geographical and Fingerprinting Data to Create Systems for Indoor Positioning and Indoor\/Outdoor Navigation, Elsevier.","DOI":"10.1016\/B978-0-12-813189-3.00010-1"},{"key":"ref_33","unstructured":"Nagel, C., Becker, T., Kaden, R., Li, K., Lee, J., and Kolbe, T.H. (2010). Requirements and Space-Event Modeling for Indoor Navigation, Open Geospatial Consortium. Available online: http:\/\/mediatum.ub.tum.de\/doc\/1155642\/737344.pdf."},{"key":"ref_34","unstructured":"Ministry of Health and Welfare (2019, November 22). Regulations for Certification of Living Environment without Obstacles, Available online: https:\/\/bf.koddi.or.kr\/."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1023\/A:1015339216366","article-title":"Toward the characterization of building occupancies for fire safety engineering: Capabilities of disabled people moving horizontally and on an incline","volume":"35","author":"Boyce","year":"1999","journal-title":"Fire Technol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1007\/s10694-012-0260-2","article-title":"Analysis of the evacuation of the World Trade Center towers on September 11, 2001","volume":"49","author":"Averill","year":"2013","journal-title":"Fire Technol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"974","DOI":"10.1016\/j.ssci.2011.12.023","article-title":"Experimental assessment on the moving capabilities of mobility-impaired disabled","volume":"50","author":"Jiang","year":"2012","journal-title":"Saf. Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.proeng.2010.07.007","article-title":"Capacity of doors during evacuation conditions","volume":"3","author":"Daamen","year":"2010","journal-title":"Procedia Eng."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/9\/2\/66\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:05:34Z","timestamp":1760364334000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/9\/2\/66"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,21]]},"references-count":38,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2020,2]]}},"alternative-id":["ijgi9020066"],"URL":"https:\/\/doi.org\/10.3390\/ijgi9020066","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,21]]}}}