{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T00:02:02Z","timestamp":1768867322328,"version":"3.49.0"},"reference-count":47,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Social media is used nowadays for various location-based applications and services, aspiring to use the vast and timely potential of user-generated content. To evaluate the correctness, reliability and potential of these applications and services, they are mostly evaluated in terms of optimization or compared to existing authoritative data sources and services. With respect to route planning, criterion optimization is mostly implemented to evaluate the service effectiveness, in terms of, e.g., length, time or visited places. These evaluations are mostly limited in their effectiveness at presenting the complete experience of the route, since they are limited to a predefined criterion and are mostly implemented in two-dimensional space. In this research, we propose a comprehensive evaluation process, in which a tourism walking route is analyzed with respect to three-dimensional visibility that measures the attractiveness of the route relating to the user perception. To present our development, we showcase the use of Flickr, a social media photo-sharing online website that is popular among travelers that share their tourism experiences. We use Flickr photos to generate tourism walking routes and evaluate them in terms of the visible space. We show that the 3D visibility analysis identifies the various visible urban elements in the vicinity of the tourism routes, which are more attractive, scenery and include many tourism attractions. Since urban attractivity is often reflected in the photo-trails of Flickr photographers, we argue that using 3D visibility analysis that measures urban attractiveness and scenery should be considered for the purpose of analysis and evaluation of location-based services.<\/jats:p>","DOI":"10.3390\/ijgi10050275","type":"journal-article","created":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T12:08:30Z","timestamp":1619179710000},"page":"275","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["3D Visibility Analysis for Evaluating the Attractiveness of Tourism Routes Computed from Social Media Photos"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4658-2328","authenticated-orcid":false,"given":"Matan","family":"Mor","sequence":"first","affiliation":[{"name":"Mapping and Geo-Information Engineering, Civil and Environmental Engineering Faculty, Technion\u2014Israel Institute of Technology, Haifa 3200003, Israel"}]},{"given":"Dafna","family":"Fisher-Gewirtzman","sequence":"additional","affiliation":[{"name":"Architecture and Town Planning, Technion\u2014Israel Institute of Technology, Haifa 3200003, Israel"}]},{"given":"Roei","family":"Yosifof","sequence":"additional","affiliation":[{"name":"Architecture and Town Planning, Technion\u2014Israel Institute of Technology, Haifa 3200003, Israel"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5639-8009","authenticated-orcid":false,"given":"Sagi","family":"Dalyot","sequence":"additional","affiliation":[{"name":"Mapping and Geo-Information Engineering, Civil and Environmental Engineering Faculty, Technion\u2014Israel Institute of Technology, Haifa 3200003, Israel"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Hu, G., Shao, J., Shen, F., Huang, Z., and Shen, H.T. (2017, January 7\u201311). Unifying multi-source social media data for personalized travel route planning. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Tokyo, Japan.","DOI":"10.1145\/3077136.3080672"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1109\/TBDATA.2016.2541160","article-title":"Personalized travel sequence recommendation on multi-source big social media","volume":"2","author":"Jiang","year":"2016","journal-title":"IEEE Trans. Big Data"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Robinson, P. (2012). Tourism: The Key Concepts, Routledge.","DOI":"10.4324\/9780203104910"},{"key":"ref_4","unstructured":"Urry, J. (1990). The Tourist Gaze\u2014Leisure and Travel in Contemporary Societies, SAGE publications."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Novack, T., Wang, Z., and Zipf, A. (2018). A system for generating customized pleasant pedestrian routes based on OpenStreetMap data. Sensors, 18.","DOI":"10.3390\/s18113794"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Dembski, F., W\u00f6ssner, U., Letzgus, M., Ruddat, M., and Yamu, C. (2020). Urban digital twins for smart cities and citizens: The case study of Herrenberg, Germany. Sustainability, 12.","DOI":"10.3390\/su12062307"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"150690","DOI":"10.1098\/rsos.150690","article-title":"Chatty maps: Constructing sound maps of urban areas from social media data","volume":"3","author":"Aiello","year":"2016","journal-title":"R. Soc. Open Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cities.2019.04.012","article-title":"Automatic landmark extraction from geo-tagged social media photos using deep neural network","volume":"93","author":"Samany","year":"2019","journal-title":"Cities"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Quercia, D., Schifanella, R., and Aiello, L.M. (2014, January 1\u20134). The shortest path to happiness: Recommending beautiful, quiet, and happy routes in the city. Proceedings of the 25th ACM conference on Hypertext and social media, Santiago, Chile.","DOI":"10.1145\/2631775.2631799"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"De Choudhury, M., Feldman, M., Amer-Yahia, S., Golbandi, N., Lempel, R., and Yu, C. (2010, January 13\u201316). Automatic construction of travel itineraries using social breadcrumbs. Proceedings of the 21st ACM conference on Hypertext and hypermedia, Toronto, ON, Canada.","DOI":"10.1145\/1810617.1810626"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1145\/2782759.2782769","article-title":"Planning sightseeing tours using crowdsensed trajectories","volume":"7","author":"Brilhante","year":"2015","journal-title":"SIGSPATIAL Spec."},{"key":"ref_12","first-page":"78","article-title":"Where do tourists go? Visualizing and analysing the spatial distribution of geotagged photography","volume":"48","author":"Gede","year":"2013","journal-title":"Cartogr. Int. J. Geogr. Inf. Geovisualization"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Urry, J. (2002). Consuming Places, Routledge.","DOI":"10.4324\/9780203202920"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1817","DOI":"10.1016\/j.annals.2012.05.004","article-title":"Tourists with cameras: Reproducing or Producing?","volume":"39","year":"2012","journal-title":"Ann. Tour. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1016\/S0160-7383(97)00011-X","article-title":"Pictorial element of destination in image formation","volume":"24","author":"MacKay","year":"1997","journal-title":"Ann. Tour. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1177\/0047287517691155","article-title":"Real-time measurement of tourists\u2019 objective and subjective emotions in time and space","volume":"57","author":"Shoval","year":"2018","journal-title":"J. Travel Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1177\/2043820613513390","article-title":"Big data, smart cities and city planning","volume":"3","author":"Batty","year":"2013","journal-title":"Dialogues Hum. Geogr."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s42489-020-00069-6","article-title":"Creating immersive virtual environments based on open geospatial data and game engines","volume":"71","author":"Keil","year":"2021","journal-title":"KN J. Cart. Geogr. Inf."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/BF03545339","article-title":"Virtual reality (VR) and open source software: A workflow for constructing an interactive cartographic VR environment to explore urban landscapes","volume":"68","author":"Edler","year":"2018","journal-title":"KN J. Cartogr. Geogr. Inf."},{"key":"ref_20","unstructured":"Fisher-Gewirtzman, D. (2017, January 3\u20137). Can 3D visibility calculations along a path predict the perceived density of participants immersed in a virtual reality environment?. Proceedings of the 11th Space Syntax Symposium, Lisbon, Portugal."},{"key":"ref_21","first-page":"1","article-title":"Perception of density by pedestrians on urban paths: An experiment in virtual reality","volume":"24","year":"2018","journal-title":"J. Urban Des."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.compenvurbsys.2016.03.007","article-title":"Visibility of urban activities and pedestrian routes: An experiment in a virtual environment","volume":"58","author":"Natapov","year":"2016","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1080\/09595238100185351","article-title":"Spatial and temporal patterns of tourist behaviour","volume":"15","author":"Cooper","year":"1981","journal-title":"Reg. Stud."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.jnca.2013.04.006","article-title":"Mobile recommender systems in tourism","volume":"39","author":"Gavalas","year":"2014","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.tourman.2017.11.001","article-title":"Tourists\u2019 digital footprint in cities: Comparing Big Data sources","volume":"66","year":"2018","journal-title":"Tour. Manag."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1177\/0047287509332307","article-title":"Segmentation of visitors to a heritage site using high-resolution time-space data","volume":"48","author":"Tchetchik","year":"2009","journal-title":"J. Travel Res."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Sester, M., and Dalyot, S. (2015). Enriching Navigation Instructions to Support The Formation of Mental Maps. Advances in Spatial Data Handling and Analysis, Springer.","DOI":"10.1007\/978-3-319-19950-4_2"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"7370","DOI":"10.1016\/j.eswa.2014.06.007","article-title":"Intelligent tourism recommender systems: A survey","volume":"41","author":"Moreno","year":"2014","journal-title":"Expert Syst. Appl."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ejor.2010.03.045","article-title":"The orienteering problem: A survey","volume":"209","author":"Vansteenwegen","year":"2011","journal-title":"Eur. J. Oper. Res."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Lim, K.H., Chan, J., Leckie, C., and Karunasekera, S. (2016). Towards next generation touring: Personalized group tours. ICAPS 2016, Proceedings of the 26th International Conference on Automated Planning and Scheduling, London, UK, 12\u201317 June 2016, The AAAI Press.","DOI":"10.1609\/icaps.v26i1.13775"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s11704-016-5550-2","article-title":"ScenicPlanner: Planning scenic travel routes leveraging heterogeneous user-generated digital footprints","volume":"11","author":"Chen","year":"2017","journal-title":"Front. Comput. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1080\/17489725.2016.1170216","article-title":"Safety-aware routing for motorised tourists based on open data and VGI","volume":"10","author":"Keler","year":"2016","journal-title":"J. Locat. Based Serv."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Gionis, A., Lappas, T., Pelechrinis, K., and Terzi, E. (2014, January 24\u201328). Customized tour recommendations in urban areas. Proceedings of the 7th ACM International Conference on Web Search and Data Mining, New York City, NY, USA.","DOI":"10.1145\/2556195.2559893"},{"key":"ref_34","unstructured":"Mor, M., and Dalyot, S. (2018, January 16\u201317). Computing touristic walking routes using geotagged photographs from Flickr. Proceedings of the 14th International Conference on Location Based Services, Zurich, Switzerland."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"126","DOI":"10.7763\/IJCTE.2015.V7.943","article-title":"Exploring personalized travel route using POIs","volume":"7","author":"Li","year":"2015","journal-title":"Int. J. Comput. Theory Eng."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.compenvurbsys.2013.07.006","article-title":"Road-based travel recommendation using geo-tagged images","volume":"53","author":"Sun","year":"2015","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Korakakis, M., Mylonas, P., and Spyrou, E. (2016). Xenia: A context aware tour recommendation system based on social network metadata information. Semantic and Social Media Adaptation and Personalization, Proceeding of the 11th International Workshop, Thessaloni-ki, Greece, 20\u201321 October 2016, IEEE.","DOI":"10.1109\/SMAP.2016.7753385"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.procs.2015.04.014","article-title":"Intelligent travel recommendation system by mining attributes from community contributed photos","volume":"50","author":"Subramaniyaswamy","year":"2015","journal-title":"Procedia Comput. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"95","DOI":"10.5194\/isprs-annals-V-4-2020-95-2020","article-title":"Enriching walking routes with tourism attractions retrieved from crowdsourced user generated data","volume":"5","author":"Mor","year":"2020","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1080\/14616688.2013.868029","article-title":"Measuring tourist activities in cities using geotagged photography","volume":"16","year":"2014","journal-title":"Tour. Geogr."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1372","DOI":"10.1111\/tgis.12478","article-title":"Comparing mobility patterns between residents and visitors using geo-tagged social media data","volume":"22","author":"Liu","year":"2018","journal-title":"Trans. GIS"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D., and Strohmaier, M. (2015). Photowalking the city: Comparing hypotheses about urban photo trails on Flickr. SocInfo 2015, Proceedings of the International Conference on Social Informatics, Beijing, China, 9\u201312 December 2015, Springer.","DOI":"10.1007\/978-3-319-27433-1_16"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Doytsher, Y., Galon, B., and Kanza, Y. (2017, January 7). Emotion maps based on geotagged posts in the social media. Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities, Redondo Beach, CA, USA.","DOI":"10.1145\/3149858.3149862"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1177\/2397200917752649","article-title":"Detecting tourist attractions using geo-tagged photo clustering","volume":"3","author":"Zhang","year":"2018","journal-title":"Chin. Sociol. Dialogue"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/j.apgeog.2015.08.002","article-title":"Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS","volume":"63","year":"2015","journal-title":"Appl. Geogr."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Gulnerman, A.G., Karaman, H., Pekaslan, D., and Bilgi, S. (2020). Citizens\u2019 spatial footprint on Twitter\u2014anomaly, trend and bias investigation in Istanbul. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9040222"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Sosko, S., and Dalyot, S. (2017). Crowdsourcing user-generated mobile sensor weather data for densifying static geosensor networks. ISPRS Int. J. Geo-Inf., 6.","DOI":"10.3390\/ijgi6030061"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/5\/275\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:52:10Z","timestamp":1760161930000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/5\/275"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,23]]},"references-count":47,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2021,5]]}},"alternative-id":["ijgi10050275"],"URL":"https:\/\/doi.org\/10.3390\/ijgi10050275","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,23]]}}}