Abstract: Advancementinthefieldsofelectrification,automation,anddigitalisationandemergingsocialtrendsarefuellingthetransformationof roadtransportresultingintheintroductionofvariousinnovativemobilitysolutions.Yetthereactionofpeopletomanyofthenew solutionsisstillvastlyunknown.iscreatesanunprecedentedquandaryfortransportplannerswhoarerequestedtodesignfuture transportsystemsandcreatetherelatedinvestmentplanswithoutfullyvalidatedmodelstobasetheassessmentupon.Assomeevidence oncitizens?behaviourconcerningnewmobilitysolutionsstartstobeprogressivelymadeavailable,firstattemptstoupdatetheexisting modelsbegintoemerge.Nevertheless,alotmoreisneededassomeofthetranspiringmobilitysolutionshavenotyetreachedthemarket, makingthecorrespondingbehaviourchangesimponderable.Inthiscontext,themainpurposeofthispaperistoprovideareviewon howtravelbehaviourchangeslinkedtothedeploymentofnewmobilitysolutionshavebeenconsideredintraveldemandmodels.e newmobilitysolutionsstudiedincludecarsharing,dynamicridesharing,micromobilitysharingservices,andpersonalandshared autonomousvehicles.Anoverviewandcomparisonofrelevantstudiesimplementingactivityortrip-baseddemandmodelsandother methodologiesarepresented.eanalysisshowsthattheresultsofthedifferentstudiesheavilydependontheextenttowhich behaviouralchangesareconsidered.eresultsofthereviewthuspointtotheneedforholisticdemandmodelsthatcarefullymimicthe urbanrealitywitheverythingithastoofferandaccountfortheimportanceofindividualtraitsinthedecision-makingprocesses.Such modelsneedanin-depthunderstandingofthemicroscopicmechanismsleadingtothetravelbehaviourshiftslinkedtothemost innovativemobilitysolutions.Toachievethislevelofdetail,mobilitylivinglabsandtheirreal-lifeexperimentsandexperiencewith citizens,whichareflourishinginEurope,aresuggestedtoplayacrucialroleintheyearstocome.

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