{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:40:45Z","timestamp":1743140445989,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031349195"},{"type":"electronic","value":"9783031349201"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-34920-1_9","type":"book-chapter","created":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T23:03:39Z","timestamp":1696028619000},"page":"105-111","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dynamics of Pedestrians\u2019 Flows During Daytime"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3213-229X","authenticated-orcid":false,"given":"Marcin","family":"Wozniak","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,30]]},"reference":[{"issue":"3","key":"9_CR1","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.3390\/ijgi4031627","volume":"4","author":"A Crooks","year":"2015","unstructured":"Crooks, A., Arie, C., Xu, L., Wise, S., Irvine, J.M., Stefanidis, A.: Walk this way: improving pedestrian agent-based models through scene activity analysis. ISPRS Int. J. Geo Inf. 4(3), 1627\u20131656 (2015). https:\/\/doi.org\/10.3390\/ijgi4031627","journal-title":"ISPRS Int. J. Geo Inf."},{"key":"9_CR2","doi-asserted-by":"publisher","unstructured":"Feng, Y., Dorine, D., Winnie, D., Serge, H.: Data collection methods for studying pedestrian behaviour: a systematic review. Build Environ 187, 107329 (2021). https:\/\/doi.org\/10.1016\/j.buildenv.2020.107329","DOI":"10.1016\/j.buildenv.2020.107329"},{"issue":"12","key":"9_CR3","doi-asserted-by":"publisher","first-page":"e0244099","DOI":"10.1371\/journal.pone.0244099","volume":"15","author":"G Filomena","year":"2020","unstructured":"Filomena, G., Manley, E., Verstegen, J.A.: Perception of urban subdivisions in pedestrian movement simulation. PLoS ONE 15(12), e0244099 (2020). https:\/\/doi.org\/10.1371\/journal.pone.0244099","journal-title":"PLoS ONE"},{"key":"9_CR4","doi-asserted-by":"publisher","unstructured":"Gorrini, A., Bandini, S., Vizzari, G.: Empirical investigation on pedestrian crowd dynamics and grouping. In: Chraibi, M., Boltes, M., Schadschneider, A., Seyfried, A. (eds.) Traffic and Granular Flow '13. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-10629-8_10","DOI":"10.1007\/978-3-319-10629-8_10"},{"key":"9_CR5","unstructured":"Lam, W.H., Morrall, J.F., Ho, H.H.: Pedestrian flow characteristics in Hong Kong. Transp. Res. Rec. (1487), 56\u201362 (1995)"},{"key":"9_CR6","doi-asserted-by":"publisher","first-page":"164","DOI":"10.3390\/info12040164","volume":"12","author":"W Luo","year":"2021","unstructured":"Luo, W., Jiao, P., Wang, Y.: Pedestrian arching mechanism at bottleneck in subway transit hub. Information 12, 164 (2021). https:\/\/doi.org\/10.3390\/info12040164","journal-title":"Information"},{"key":"9_CR7","unstructured":"Older, S.J.: Movement of pedestrians on footways in shopping streets. Traffic Eng. Control 10(4), 160\u2013163 (1968)"},{"key":"9_CR8","doi-asserted-by":"publisher","unstructured":"Rajpurohit, D., Singh, G., Yadav, K.: A socio-legal analysis of whatsapp privacy policy 2021 in India. Contemp. Stud. https:\/\/doi.org\/10.2139\/ssrn.3850579","DOI":"10.2139\/ssrn.3850579"},{"key":"9_CR9","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/s40864-021-00157-4","volume":"7","author":"H Ren","year":"2021","unstructured":"Ren, H., Song, Y., Li, S., et al.: Two-step optimization of urban rail transit marshalling and real-time station control at a comprehensive transportation hub. Urban Rail Transit. 7, 257\u2013268 (2021). https:\/\/doi.org\/10.1007\/s40864-021-00157-4","journal-title":"Urban Rail Transit."},{"key":"9_CR10","unstructured":"Sheppard, C.: NetLogo Time Extension (2017). https:\/\/github.com\/colinsheppard\/time"},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.trc.2018.05.021","volume":"93","author":"A Tordeux","year":"2018","unstructured":"Tordeux, A., L\u00e4mmel, G., H\u00e4nseler, F.S., Steffen, B.: A mesoscopic model for large-scale simulation of pedestrian dynamics. Transp. Res. Part C Emerg. Technol. 93, 128\u2013147 (2018)","journal-title":"Transp. Res. Part C Emerg. Technol."},{"issue":"3","key":"9_CR12","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1080\/10941665.2019.1709876","volume":"25","author":"B Zhang","year":"2020","unstructured":"Zhang, B., Li, N., Shi, F., Law, R.: A deep learning approach for daily tourist flow forecasting with consumer search data. Asia Pacific J. Tour. Res. 25(3), 323\u2013339 (2020). https:\/\/doi.org\/10.1080\/10941665.2019.1709876","journal-title":"Asia Pacific J. Tour. Res."},{"key":"9_CR13","unstructured":"Batty, M., Jiang, B., Thurstain-Goodwin, M.: Local movement: agent-based models of pedestrian flows. (CASA Working Papers 4, 1998). Centre for Advanced Spatial Analysis (UCL): London, UK"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Betty J., Mohler William B., Thompson Sarah H., Creem-Regehr Herbert L., Pick William H., Warren.: Visual flow influences gait transition speed and preferred walking speed Experimental Brain Research 181(2), 221\u2013228 (2007). https:\/\/doi.org\/10.1007\/s00221-007-0917-0","DOI":"10.1007\/s00221-007-0917-0"},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Campanella M, Hoogendoorn SP, Daamen W.: Effects of Heterogeneity on Self-Organized Pedestrian Flows Transportation Research Record: Journal of the Transportation Research Board 2124(1), 148\u2013156 (2009). https:\/\/doi.org\/10.3141\/2124-14","DOI":"10.3141\/2124-14"}],"container-title":["Springer Proceedings in Complexity","Advances in Social Simulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34920-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T23:10:06Z","timestamp":1696029006000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34920-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031349195","9783031349201"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34920-1_9","relation":{},"ISSN":["2213-8684","2213-8692"],"issn-type":[{"type":"print","value":"2213-8684"},{"type":"electronic","value":"2213-8692"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"30 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ESSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference of the European Social Simulation Association","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"essa2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}