{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:54:44Z","timestamp":1760151284409,"version":"build-2065373602"},"reference-count":41,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,3,4]],"date-time":"2022-03-04T00:00:00Z","timestamp":1646352000000},"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>This paper seeks to predict the average waiting time, defined as the time spent moving at 1 ms\u22121 or less, of urban bicyclists during rush hours while performing different maneuvers at intersections. Individual predictive models are built for the three cyclist typologies previously identified on a large database of GPS traces recorded in the city of Bologna, Italy. Individual models are built for the three cyclist typologies and bootstrapping has confirmed the validity and robustness of the results. The results allow the integration of waiting times in route choice models for cyclists, thus improving the rational bases by which cyclists makes their decisions. Moreover, the modeling allows transportation engineers to understand how different cyclist typologies perceive different variables that affect their waiting times. Future work should focus on testing the model transferability to other case studies.<\/jats:p>","DOI":"10.3390\/ijgi11030169","type":"journal-article","created":{"date-parts":[[2022,3,6]],"date-time":"2022-03-06T20:38:16Z","timestamp":1646599096000},"page":"169","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Nonparametric Regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5109-2430","authenticated-orcid":false,"given":"Jeremy","family":"Walker","sequence":"first","affiliation":[{"name":"Department of Mathematics and Statistics, San Jos\u00e9 State University, San Jos\u00e9, CA 95192, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7646-1394","authenticated-orcid":false,"given":"Cristian","family":"Poliziani","sequence":"additional","affiliation":[{"name":"Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, 40136 Bologna, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8351-3730","authenticated-orcid":false,"given":"Cristina","family":"Tortora","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, San Jos\u00e9 State University, San Jos\u00e9, CA 95192, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2289-6111","authenticated-orcid":false,"given":"Joerg","family":"Schweizer","sequence":"additional","affiliation":[{"name":"Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, 40136 Bologna, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8404-5684","authenticated-orcid":false,"given":"Federico","family":"Rupi","sequence":"additional","affiliation":[{"name":"Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, 40136 Bologna, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1049\/iet-its.2017.0285","article-title":"Evaluating cyclist patterns using GPS data from smartphones","volume":"12","author":"Rupi","year":"2018","journal-title":"ITE Intell. 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Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone. ISPRS Int. J. Geo-Inf., 8.","DOI":"10.20944\/preprints201906.0041.v1"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1810","DOI":"10.1049\/iet-its.2019.0683","article-title":"Estimation of link-cost function for cyclists based on stochastic optimisation and GPS traces","volume":"14","author":"Schweizer","year":"2020","journal-title":"IET Intell. Transp. Syst."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Alonso, F., Faus, M., Cendales, B., and Useche, S. (2021). Citizens\u2019 perceptions in relation to transport systems and infrastructures: Nationwide study in the Dominican Republic. Infrastructures, 6.","DOI":"10.3390\/infrastructures6110153"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Willberg, E., Tenkanen, H., Poom, A., Salonen, M., and Toivonen, T. (2021). Comparing spatial data sources for cycling studies: A review. Transport in Human Scale Cities, Edward Elgar Publishing.","DOI":"10.4337\/9781800370517.00025"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1016\/j.tra.2012.01.006","article-title":"The value of time and external benefits in bicycle appraisal","volume":"46","author":"Eliasson","year":"2012","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Fioreze, T., Groenewolt, B., Koolwaaij, J., and Geurs, K. (Transport Findings, 2019). Perceived versus actual waiting time: A case study among cyclists in Enschede, The Netherlands, Transport Findings.","DOI":"10.32866\/9636"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1016\/j.cstp.2020.05.007","article-title":"Analysing the dynamic performances of a bicycle network with a temporal analysis of GPS traces","volume":"8","author":"Rupi","year":"2020","journal-title":"Case Stud. Transp. Policy"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.trd.2017.09.001","article-title":"Speed, travel time and delay for intersections and road segments in the Montreal network using cyclist Smartphone GPS data","volume":"57","author":"Strauss","year":"2017","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"101594","DOI":"10.1016\/j.scs.2019.101594","article-title":"Where we ride faster? Examining cycling speed using smartphone GPS data","volume":"49","author":"Clarry","year":"2019","journal-title":"Sustain. Cities Soc."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.jtrangeo.2019.03.003","article-title":"Using GPS data to explore speed patterns and temporal fluctuations in urban logistics: The case of Sao Paulo, Brazil","volume":"76","author":"Laranjeiro","year":"2019","journal-title":"J. Transp. Geogr."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1016\/j.trc.2010.12.008","article-title":"Commercial bus speed diagnosis based on GPS-monitored data","volume":"19","author":"Gibson","year":"2011","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1016\/j.trpro.2021.12.053","article-title":"Traffic surveys and GPS traces to explore patterns in cyclist\u2019s in-motion speeds","volume":"60","author":"Poliziani","year":"2021","journal-title":"Transp. Res. Procedia"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Poliziani, C., Rupi, F., Schweizer, J., Saracco, M., and Capuano, D. (Transp. Res. Procedia, 2021). Cyclist\u2019s waiting time estimation at intersections, a case study with GPS traces from Bologna, Transp. Res. Procedia, in press.","DOI":"10.1016\/j.trpro.2022.02.041"},{"key":"ref_18","first-page":"100572","article-title":"Categorizing three active cyclist typologies by exploring patterns on a multitude of GPS crowdsourced data attributes","volume":"40","author":"Poliziani","year":"2021","journal-title":"Res. Transp. Bus. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1007\/s00357-019-09319-3","article-title":"A mixture of coalesced generalized hyperbolic distributions","volume":"36","author":"Tortora","year":"2019","journal-title":"J. Classif."},{"key":"ref_20","unstructured":"(2022, February 27). Betterpoints. Available online: https:\/\/www.betterpoints.ltd\/."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"42","DOI":"10.3389\/frsc.2020.00042","article-title":"Does Urban Security Modulate Transportation Choices and Travel Behavior of Citizens? A National Study in the Dominican Republic","volume":"2","author":"Alonso","year":"2020","journal-title":"Front. Sustain. Cities"},{"key":"ref_22","unstructured":"(2022, February 27). SUMOPy. Available online: https:\/\/sumo.dlr.de\/docs\/Contributed\/SUMOPy.html."},{"key":"ref_23","unstructured":"(2022, February 27). OSM. Available online: https:\/\/www.openstreetmap.org\/#map=19\/44.50163\/11.34276."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1049\/iet-its.2015.0135","article-title":"Map-matching algorithm applied to bicycle global positioning system traces in Bolognaa","volume":"10","author":"Schweizer","year":"2016","journal-title":"ITE Intell. Transp. Syst."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.aap.2018.08.013","article-title":"Red-light running behavior of cyclists in Italy: An observational study","volume":"120","author":"Fraboni","year":"2018","journal-title":"Accid. Anal. Prev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.tbs.2018.05.005","article-title":"Appearance and behaviour: Are cyclist physical attributes reflective of their preferences and habits?","volume":"13","author":"Tengattini","year":"2018","journal-title":"Travel Behav. Soc."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.trpro.2017.12.051","article-title":"Fitting time headway and speed distributions for bicycles on separate bicycle lanes","volume":"27","author":"Rossi","year":"2017","journal-title":"Transp. Res. Procedia"},{"key":"ref_28","unstructured":"(2000). Highway Capacity Manual, Transportation Research Board."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Schweizer, J., Poliziani, C., Rupi, F., Morgano, D., and Magi, M. (2021). Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10030165"},{"key":"ref_30","unstructured":"R Core Team (2020). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_32","first-page":"18","article-title":"Classification and Regression by randomForest","volume":"2","author":"Liaw","year":"2002","journal-title":"R News"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Boser, B.E., Guyon, I.M., and Vapnik, V.N. (1992, January 27\u201329). A training algorithm for optimal margin classifiers. Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory, Pittsburgh, PA, USA.","DOI":"10.1145\/130385.130401"},{"key":"ref_34","unstructured":"Meyer, D., Dimitriadou, E., Hornik, K., Weingessel, A., Leisch, F., Chang, C.C., Lin, C.C., and Meyer, M.D. (2022, February 27). Package \u2018e1071\u2019. The R Journal version 1.7-3. Available online: https:\/\/rdrr.io\/rforge\/e1071\/."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1137\/1109020","article-title":"On estimating regression","volume":"9","author":"Nadaraya","year":"1964","journal-title":"Theory Probab. Appl."},{"key":"ref_36","unstructured":"Garc\u00eda-Portugu\u00e9s, E. (2021). Notes for Nonparametric Statistics, Bookdown. Available online: https:\/\/bookdown.org\/egarpor\/NP-UC3M\/."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v027.i05","article-title":"Nonparametric Econometrics: The np Package","volume":"27","author":"Hayfield","year":"2008","journal-title":"J. Stat. Softw."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1093\/biomet\/63.3.413","article-title":"Multivariate binary discrimination by the kernel method","volume":"63","author":"Aitchison","year":"1976","journal-title":"Biometrika"},{"key":"ref_39","unstructured":"Li, Q., and Racine, J.S. (2007). Nonparametric Econometrics: Theory and Practice, Princeton University Press."},{"key":"ref_40","first-page":"485","article-title":"Cross-validated local linear nonparametric regression","volume":"14","author":"Li","year":"2004","journal-title":"Stat. Sin."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1214\/aos\/1176348120","article-title":"Bootstrap simultaneous error bars for nonparametric regression","volume":"19","author":"Hardle","year":"1991","journal-title":"Ann. Stat."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/11\/3\/169\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:31:52Z","timestamp":1760135512000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/11\/3\/169"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,4]]},"references-count":41,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["ijgi11030169"],"URL":"https:\/\/doi.org\/10.3390\/ijgi11030169","relation":{},"ISSN":["2220-9964"],"issn-type":[{"type":"electronic","value":"2220-9964"}],"subject":[],"published":{"date-parts":[[2022,3,4]]}}}