{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T14:55:04Z","timestamp":1784732104661,"version":"3.55.0"},"reference-count":63,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,5,2]],"date-time":"2023-05-02T00:00:00Z","timestamp":1682985600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Korea Agency for Infrastructure Technology Advancement (KAIA)","award":["RS-2022-00143782"],"award-info":[{"award-number":["RS-2022-00143782"]}]},{"name":"Ministry of Land, Infrastructure, and Transport of the Korean government","award":["RS-2022-00143782"],"award-info":[{"award-number":["RS-2022-00143782"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>As neighborhood walkability has gradually become an important topic in various fields, many cities around the world are promoting an eco-friendly and people-centered walking environment as a top priority in urban planning. The purpose of this study is to visualize physical and perceived walkability in detail and analyze the differences to prepare alternatives for improving the neighborhood\u2019s walking environment. The study area is Jeonju City, one of the medium-sized cities in Korea. For the evaluation of perceived walkability, 196,624 street view images were crawled and 127,317 pairs of training datasets were constructed. After developing a convolutional neural network model, the scores of perceived walkability are predicted. For the evaluation of physical walkability, eight indicators are selected, and the score of overall physical walkability is calculated by combining the scores of the eight indicators. After that, the scores of perceived and physical walkability are visualized, and the difference between them is analyzed. This study is novel in three aspects. First, we develop a deep learning model that can improve the accuracy of perceived walkability using street view images, even in small and medium-sized cities. Second, in analyzing the characteristics of street view images, the possibilities and limitations of the semantic segmentation technique are confirmed. Third, the differences between perceived and physical walkability are analyzed in detail, and how the results of our study can be used to prepare alternatives for improving the walking environment is presented.<\/jats:p>","DOI":"10.3390\/ijgi12050186","type":"journal-article","created":{"date-parts":[[2023,5,3]],"date-time":"2023-05-03T01:36:38Z","timestamp":1683077798000},"page":"186","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Assessment of Perceived and Physical Walkability Using Street View Images and Deep Learning Technology"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0162-0645","authenticated-orcid":false,"given":"Youngok","family":"Kang","sequence":"first","affiliation":[{"name":"Department of Social Studies (Geography), Ewha Womans University, Seoul 03760, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiyeon","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Social Studies (Geography), Ewha Womans University, Seoul 03760, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiyoung","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Social Studies (Geography), Ewha Womans University, Seoul 03760, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiyoon","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Big Data Analytics, Ewha Womans University, Seoul 03760, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1249\/MSS.0b013e31817c67a4","article-title":"Built environment correlates of walking: A review","volume":"40","author":"Saelens","year":"2008","journal-title":"Med. Sci. Sports Exerc."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"995","DOI":"10.2165\/11319620-000000000-00000","article-title":"Encouraging walking for transport and physical activity in children and adolescents: How important is the built environment?","volume":"39","author":"Kelty","year":"2009","journal-title":"Sports Med."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1016\/j.amepre.2011.06.036","article-title":"Neighborhood environment and physical activity among youth: A review","volume":"41","author":"Ding","year":"2011","journal-title":"Am. J. Prev. Med."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.healthplace.2005.11.001","article-title":"Walkability of local communities: Using geographic information systems to objectively assess relevant environmental attributes","volume":"13","author":"Leslie","year":"2007","journal-title":"Health Place"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1007\/s11482-010-9132-4","article-title":"Examining walkability and social capital as indicators of quality of life at the municipal and neighborhood scales","volume":"6","author":"Rogers","year":"2011","journal-title":"Appl. Res. Qual. Life"},{"key":"ref_6","unstructured":"Cortright, J. (2022, October 05). Walking the Walk: How Walkability Raises Home Values in U.S. Cities. Chicago, Illinois, USA, CEOs for Cities. Available online: http:\/\/www.ceosforcities.org\/pagefiles\/WalkingTheWalk_CEOsforCities.pdf."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1111\/j.1540-6229.2010.00296.x","article-title":"The walkability premium in commercial real estate investments","volume":"39","author":"Pivo","year":"2011","journal-title":"Real Estate Econ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1752","DOI":"10.1289\/ehp.0900595","article-title":"Healthy neighborhoods: Walkability and air pollution","volume":"117","author":"Marshall","year":"2009","journal-title":"Environ. Health Perspect."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1080\/15568318.2021.1914793","article-title":"Built environment attributes and their influence on walkability","volume":"16","author":"Fonseca","year":"2022","journal-title":"Int. J. Sustain. Transp."},{"key":"ref_10","unstructured":"Transport for London (2022, November 12). London Travel Report 2005, Available online: http:\/\/content.tfl.gov.uk\/london-travel-report-2005.pdf."},{"key":"ref_11","unstructured":"WHO Regional Office for Europe (2022, November 24). The European Health Report 2009: Health and Health Systems. Available online: http:\/\/www.euro.who.int\/__data\/assets\/pdf_file\/0009\/82386\/E93103.pdf."},{"key":"ref_12","unstructured":"Toronto Public Health (2022, April 08). The Walkable City: Neighborhood Design and Preferences, Travel Choices and Health (A Healthy Toronto by Design Report), Available online: http:\/\/www.toronto.ca\/health\/hphe\/pdf\/walkable_city.pdf."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2912","DOI":"10.1016\/S0140-6736(16)30066-6","article-title":"City planning and population health: A global challenge","volume":"388","author":"Reis","year":"2016","journal-title":"Lancet"},{"key":"ref_14","unstructured":"Ministry of Public Administration and Security of Korea (2012). Act on the Promotion of Pedestrian Safety and Convenience Enhancement Act."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/S1361-9209(97)00009-6","article-title":"Travel demand and the 3Ds: Density, diversity, and design","volume":"2","author":"Cervero","year":"1997","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1207\/S15324796ABM2502_03","article-title":"Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures","volume":"25","author":"Saelens","year":"2003","journal-title":"Ann. Behav. Med."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.amepre.2009.07.008","article-title":"Land use, residential density, and walking","volume":"37","author":"Evenson","year":"2009","journal-title":"Am. J. Prev. Med."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1080\/01944361003766766","article-title":"Travel and the Built Environment","volume":"76","author":"Ewing","year":"2010","journal-title":"J. Am. Plann. Assoc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1061\/(ASCE)UP.1943-5444.0000105","article-title":"Exploring determinants of pedestrians\u2019 satisfaction with sidewalk environments: Case study in Korea","volume":"138","author":"Wang","year":"2012","journal-title":"J. Urban Plan. Dev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.tranpol.2015.09.008","article-title":"Pedestrian\u2019s needs matter: Examining Manila\u2019s walking environment","volume":"45","year":"2016","journal-title":"Transp. Policy"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.jth.2018.03.004","article-title":"Perceptions of walkability and determinants of walking behavior among urban seniors in Toronto, Canada","volume":"9","author":"Lee","year":"2018","journal-title":"J. Transp. Health"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1080\/01441647.2019.1703842","article-title":"Urban walkability considering pedestrians\u2019 perceptions of the built environment: A 10-year review and a case study in a medium-sized city in Latin America","volume":"40","author":"Arellana","year":"2020","journal-title":"Transp. Rev."},{"key":"ref_23","first-page":"89","article-title":"Pedestrian Cognition and Satisfaction on the Physical Elements in Pedestrian Space","volume":"17","author":"Kim","year":"2016","journal-title":"J. Urban Des. Inst. Korea"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Chiang, Y.C., Sullivan, W., and Larsen, L. (2017). Measuring neighborhood walkable environments: A comparison of three approaches. Int. J. Environ. Res. Public Health, 14.","DOI":"10.3390\/ijerph14060593"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.amepre.2004.11.001","article-title":"Linking Objectively Measured Physical Activity with Objectively Measured Urban Form: Findings from SMARTRAQ","volume":"28","author":"Frank","year":"2005","journal-title":"Am. J. Prev. Med."},{"key":"ref_26","first-page":"293","article-title":"An Empirical Analysis of Neighborhood Environment Affecting Residents\u2019 Walking: Case study of 12 Areas in Seoul","volume":"24","author":"Lee","year":"2008","journal-title":"J. Archit. Ins. Korea Plan. Des."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.trd.2006.02.003","article-title":"The 3Ds + R: Quantifying Land Use and Urban Form Correlates of Walking","volume":"11","author":"Lee","year":"2006","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"12","DOI":"10.15365\/cate.31122010","article-title":"Promoting active urban aging: A measurement approach to neighborhood walkability for older adults","volume":"3","author":"Weiss","year":"2010","journal-title":"Cities Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.trd.2014.05.005","article-title":"Meso-or micro-scale? Environmental factors influencing pedestrian satisfaction","volume":"30","author":"Kim","year":"2014","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Quercia, D., Aiello, L.M., Schifanella, R., and Davies, A. (2015, January 18\u201322). The digital life of walkable streets. Proceedings of the 24th International Conference on World Wide Web, Florence, Italy.","DOI":"10.1145\/2736277.2741631"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"101605","DOI":"10.1016\/j.scs.2019.101605","article-title":"Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning","volume":"50","author":"Zhou","year":"2019","journal-title":"Sustain. Cities Soc."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Li, Y., Yabuki, N., Fukuda, T., and Zhang, J. (2020, January 16\u201318). A big data evaluation of urban street walkability using deep learning and environmental sensors-a case study around Osaka University Suita campus. Proceedings of the 38th eCAADe Conference, Berlin, Germany.","DOI":"10.52842\/conf.ecaade.2020.2.319"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"101547","DOI":"10.1016\/j.compenvurbsys.2020.101547","article-title":"Assessing multiscale visual appearance characteristics of neighborhoods using geographically weighted principal component analysis in Shenzhen, China","volume":"84","author":"Wu","year":"2020","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.ufug.2018.02.013","article-title":"Mapping the spatial distribution of shade provision of street trees in Boston using Google Street View panoramas","volume":"31","author":"Li","year":"2018","journal-title":"Urban For. Urban Gree"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"239","DOI":"10.4278\/0890-1171-18.3.239","article-title":"Associations of location and perceived environmental attributes with walking in neighborhoods","volume":"18","author":"Humpel","year":"2004","journal-title":"Am. J. Health Promot."},{"key":"ref_36","first-page":"253","article-title":"Perception of Pedestrian Environment and Satisfaction of Neighborhood Walking\u2014An Impact Study based on Four Residential Communities in Seoul, Korea","volume":"25","author":"Park","year":"2009","journal-title":"J. Archit. Ins. Korea Plan. Des."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.trf.2020.06.013","article-title":"A perception-based cognitive map of the pedestrian perceived quality of service on urban sidewalks","volume":"73","author":"Cantillo","year":"2020","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Salesses, P., Schechtner, K., and Hidalgo, C.A. (2013). The Collaborative Image of The City: Mapping the Inequality of Urban Perception. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0068400"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Dubey, A., Naik, N., Parikh, D., Raskar, R., and Hidalgo, C.A. (2016, January 8\u201316). Deep learning the city: Quantifying urban perception at a global scale. Proceedings of the European Conference on Computer Vision, Amsterdam, The Netherlands.","DOI":"10.1007\/978-3-319-46448-0_12"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"101386","DOI":"10.1016\/j.compenvurbsys.2019.101386","article-title":"Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique","volume":"78","author":"Wang","year":"2019","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"104217","DOI":"10.1016\/j.landurbplan.2021.104217","article-title":"Street view imagery in urban analytics and GIS: A review","volume":"215","author":"Biljecki","year":"2021","journal-title":"Landsc. Urban Plan."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"101626","DOI":"10.1016\/j.compenvurbsys.2021.101626","article-title":"Decoding urban landscapes: Google street view and measurement sensitivity","volume":"88","author":"Kim","year":"2021","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Ble\u010di\u0107, I., Cecchini, A., and Trunfio, G.A. (2018, January 2\u20135). Towards automatic assessment of perceived walkability. Proceedings of the International Conference on Computational Science and Its Application, Melbourne, Australia.","DOI":"10.1007\/978-3-319-95168-3_24"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3224182","article-title":"Looking south: Learning urban perception in developing cities","volume":"1","author":"Santani","year":"2018","journal-title":"ACM Trans. Soc. Comput."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/0167-8116(95)00012-7","article-title":"The effects of alternative methods of collecting similarity data for multidimensional scaling","volume":"124","author":"Bijmolt","year":"1995","journal-title":"Int. J. Res. Mark."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1037\/0033-295X.112.4.881","article-title":"Absolute identification by relative judgment","volume":"112","author":"Stewart","year":"2005","journal-title":"Psychol. Rev."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1109\/TIP.2019.2932502","article-title":"Multi-task deep relative attribute learning for visual urban perception","volume":"29","author":"Min","year":"2019","journal-title":"IEEE Trans. Image Process."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Xu, Y., Yang, Q., Cui, C., Shi, C., Song, G., Han, X., and Yin, Y. (2019, January 8\u201311). Visual Urban Perception with Deep Semantic-Aware Network. Proceedings of the International Conference on Multimedia Modeling, Thessaloniki, Greece.","DOI":"10.1007\/978-3-030-05716-9_3"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3424115","article-title":"Urban Perception: Sensing Cities via a Deep Interactive Multitask Learning Framework","volume":"17","author":"Guan","year":"2021","journal-title":"ACM Trans. Multim. Comput."},{"key":"ref_50","unstructured":"Koch, G., Zemel, R., and Salakhutdinov, R. (2022, October 05). Siamese Neural Networks for One-Shot Image Recognition. Available online: https:\/\/www.cs.toronto.edu\/~zemel\/documents\/oneshot1.pdf."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.amc.2014.12.069","article-title":"Pairwise comparisons simplified","volume":"253","author":"Koczkodaj","year":"2015","journal-title":"Appl. Math. Comput."},{"key":"ref_52","unstructured":"Saha, A., Shivanna, R., and Bhattacharyya, C. (February, January 27). How many pairwise preferences do we need to rank a graph consistently?. Proceedings of the AAAI Conference on Artificial Intelligence, Honolulu, HI, USA."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Sunahase, T., Baba, Y., and Kashima, H. (2017, January 4\u20139). Pairwise HITS: Quality estimation from pairwise comparisons in creator-evaluator crowdsourcing process. Proceedings of the AAAI Conference on Artificial Intelligence, San Francisco, CA, USA.","DOI":"10.1609\/aaai.v31i1.10634"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1177\/1525822X03015002001","article-title":"Too Many Questions? The Uses of Incomplete Cyclic Designs for Paired Comparisons","volume":"15","author":"Burton","year":"2003","journal-title":"Field Methods"},{"key":"ref_55","first-page":"1","article-title":"Generating Pairwise Comparison Set for Crowed Sourcing based Deep Learning","volume":"27","author":"Yoo","year":"2022","journal-title":"J. Korea Ind. Inf. Syst. Res."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Lu, X., Lin, Z., Jin, H., Yang, J., and Wang, J.Z. (2014, January 3\u20137). Rapid: Rating pictorial aesthetics using deep learning. Proceedings of the 22nd ACM international conference on Multimedia, Orlando, FL, USA.","DOI":"10.1145\/2647868.2654927"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Lu, X., Lin, Z., Shen, X., Mech, R., and Wang, J.Z. (2015, January 7\u201313). Deep multi-patch aggregation network for image style, aesthetics, and quality estimation. Proceedings of the IEEE International Conference on Computer Vision, Santiago, Chile.","DOI":"10.1109\/ICCV.2015.119"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"2918","DOI":"10.1007\/s10489-021-02575-0","article-title":"A new multi-feature fusion based convolutional neural network for facial expression recognition","volume":"52","author":"Zou","year":"2021","journal-title":"Appl. Intell."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"169","DOI":"10.17208\/jkpa.2016.02.51.1.169","article-title":"An Analysis of Neighborhood Environment Affecting Walking Satisfaction-Focused on the \u2018Seoul Survey\u2019 2013","volume":"51","author":"Lee","year":"2016","journal-title":"J. Korea Plan. Assoc."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"255","DOI":"10.17208\/jkpa.2018.02.53.1.255","article-title":"Structural Relationship between Neighborhood Environment, Daily Walking Activity, and Subjective Health Status: Application of Path Model","volume":"53","author":"Park","year":"2018","journal-title":"J. Korea Plan. Assoc."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Wang, P., Chen, P., Yuan, Y., Liu, D., Huang, Z., Hou, X., and Cottrell, G. (2018, January 12\u201315). Understanding convolution for semantic segmentation. Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, Lake Tahoe, NV, USA.","DOI":"10.1109\/WACV.2018.00163"},{"key":"ref_62","unstructured":"(2023, January 02). Cityscapes. Available online: https:\/\/www.cityscapes-dataset.com."},{"key":"ref_63","unstructured":"(2023, January 02). ADE20K. Available online: https:\/\/groups.csail.mit.edu\/vision\/datasets\/ADE20K."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/12\/5\/186\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:28:31Z","timestamp":1760124511000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/12\/5\/186"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,2]]},"references-count":63,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2023,5]]}},"alternative-id":["ijgi12050186"],"URL":"https:\/\/doi.org\/10.3390\/ijgi12050186","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,2]]}}}