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Handbook of Mobility Data Mining, Volume 1: Data Preprocessing and Visualization PDF

224 Pages·2023·5.174 MB·English
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Preview Handbook of Mobility Data Mining, Volume 1: Data Preprocessing and Visualization

VOLUME ONE H M ANDBOOK OF OBILITY DATA MINING This page intentionally left blank VOLUME ONE H M ANDBOOK OF OBILITY DATA MINING DATA PREPROCESSING AND VISUALIZATION Edited by HAORAN ZHANG School of Urban Planning and Design, Peking University, Shenzhen, China Elsevier Radarweg29,POBox211,1000AEAmsterdam,Netherlands TheBoulevard,LangfordLane,Kidlington,OxfordOX51GB,UnitedKingdom 50HampshireStreet,5thFloor,Cambridge,MA02139,UnitedStates Copyright(cid:1)2023ElsevierInc.Allrightsreserved. Nopartofthispublicationmaybereproducedortransmittedinanyformorbyany means,electronicormechanical,includingphotocopying,recording,oranyinformation storageandretrievalsystem,withoutpermissioninwritingfromthepublisher.Detailson howtoseekpermission,furtherinformationaboutthePublisher’spermissionspolicies andourarrangementswithorganizationssuchastheCopyrightClearanceCenterandthe CopyrightLicensingAgency,canbefoundatourwebsite:www.elsevier.com/permissions. Thisbookandtheindividualcontributionscontainedinitareprotectedundercopyright bythePublisher(otherthanasmaybenotedherein). Notices Knowledgeandbestpracticeinthisfieldareconstantlychanging.Asnewresearchand experiencebroadenourunderstanding,changesinresearchmethods,professional practices,ormedicaltreatmentmaybecomenecessary. Practitionersandresearchersmustalwaysrelyontheirownexperienceandknowledgein evaluatingandusinganyinformation,methods,compounds,orexperimentsdescribed herein.Inusingsuchinformationormethodstheyshouldbemindfuloftheirownsafety andthesafetyofothers,includingpartiesforwhomtheyhaveaprofessional responsibility. Tothefullestextentofthelaw,neitherthePublishernortheauthors,contributors,or editors,assumeanyliabilityforanyinjuryand/ordamagetopersonsorpropertyasa matterofproductsliability,negligenceorotherwise,orfromanyuseoroperationofany methods,products,instructions,orideascontainedinthematerialherein. ISBN:978-0-443-18428-4 ForinformationonallElsevierpublicationsvisitour websiteathttps://www.elsevier.com/books-and-journals Publisher:JosephP.Hayton AcquisitionsEditor:KathrynEryilmaz EditorialProjectManager:AliAfzal-Khan ProductionProjectManager:SwapnaSrinivasan CoverDesigner:GregHarris TypesetbyTNQTechnologies Contents Listofcontributors ix Preface xi Acknowledgments xiii 1. An overview of urban data variety and respectivevalue to urbancomputing 1 HangYin 1. Introduction 1 2. Urbandatavarietyandvalue 3 3. Conclusion 9 References 10 2. Qualityassessment for big mobility data 15 YuhaoYaoandHaoranZhang 1. Introduction 15 2. Trajectorysimilarity 16 3. Travelpatternsimilarity 26 4. Origin-destinationmatrixsimilarity 27 5. Conclusionandfuturedirections 31 References 31 3. Noisefilter method for mobile trajectory data 35 DefanFeng,HaoranZhangandXuanSong 1. Introduction 35 2. Simpledatacleaning 37 3. Meanfilterandmedianfilter 37 4. Kalmanfilter 39 5. Particlefilter 42 6. Roadnetworkmatching 44 7. Anexampleofmobiletrajectorydatanoisefilter 45 References 46 4. Modifiable arealunit problemin grided population density map 51 YuhaoYaoandHaoranZhang 1. Introduction 51 2. Erroranalysis 55 j v vi Contents 3. Realcaseexperiment 63 4. Conclusion 64 References 64 5. Few-shot count estimation ofmobility dynamics byscaling GPS 67 XiaodanShi,HaoranZhang,QuanjunChenandRyosukeShibasaki 1. Introduction 67 2. Relatedworks 69 3. Methodology 71 4. Experiments 75 5. Conclusion 94 References 94 Furtherreading 96 6. Trip segmentation and mode detection for human mobility data 97 YuhaoYao,HaoranZhangandQiChen 1. Introduction 97 2. HiddenMarkovModel 98 3. Modeltraining 100 4. Decoding 102 5. Application 103 References 114 7. Benchmark of travel mode detection with smartphone GPS trajectories 117 JinyuChen,WenjingLi,QingYu,RyosukeShibasakiandHaoranZhang 1. Introduction 117 2. Groundtruthdatacollection 118 3. Methodfortravelmodedetection 121 4. Casestudy 127 5. Conclusion 132 References 133 8. Trajectorysuper-resolution methods 139 XudongShen,DouHuang,PeiranLiandNingXu 1. Introduction 139 2. Relatedwork 142 3. Preliminary 144 4. Datadescription 145 5. Baselinemethods 148 Contents vii 6. Experimentsandresults 152 7. Conclusionanddiscussion 154 References 154 9. Map-matchingfor low accuracytrajectory data 157 YuhaoYaoandHaoranZhang 1. Introduction 157 2. Traditionalmap-matchingmethod 158 3. Multi-stepsleastcostalgorithm 159 4. Realworldapplication 168 References 174 10. Social information labelingfor individual mobilephone user 177 ChenZhiheng 1. Background 177 2. Datadescription 177 3. Frameworkandcasestudy 178 4. Methodology 179 5. Evaluationmetrics 181 6. Result 181 References 184 11. Web-basedspatio-temporal data visualization technology for urban digital twin 185 QingYu,Wen-LongShang,JinyuChenandHaoranZhang 1. Introduction 185 2. Web-baseddatavisualizationtechnology 186 3. Visualizationofdata 191 4. Caseofweb-basedurbandigitaltwinapplication:3DUrbanMOB 195 5. Conclusion 198 References 199 Index 203 This page intentionally left blank List of contributors JinyuChen CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan QiChen SchoolofGeographyandInformationEngineering,ChinaUniversityofGeosciences (Wuhan),Wuhan,Hubei,China QuanjunChen CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan DefanFeng SUSTech-UTokyoJointResearchCenteronSuperSmartCity,DepartmentofComputer ScienceandEngineering,SouthernUniversityofScienceandTechnology(SUSTech), Shenzhen,China DouHuang CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan PeiranLi CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan WenjingLi CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan Wen-LongShang BeijingKeyLaboratoryofTrafficEngineering,CollegeofMetropolitanTransportation, BeijingUniversityofTechnology,Beijing,People’sRepublicofChina XudongShen CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan XiaodanShi CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan RyosukeShibasaki CenterforSpatialInformationScience,TheUniversityofTokyo,Kashiwa-shi,Chiba, Japan j ix

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