72 13Estimated Results•Thestandardvarianceoftheerrorofnumberoflightmotorvehiclesislargerthanthatofordinarymotorvehiclesandthatofsmalltrucks,whichindicatesthattheownershipoflightmotorvehiclesisalittledifficulttobeestimated.•Thecovarianceitembetweenlightmotorvehiclesandordinarymotorvehiclesandthatbetweenlightmotorvehiclesandsmalltrucksareata1%significancelevelindicatethattherearesubstitutioneffectsbetweenthesetwocombinationsoftwotypesofvehicle.Number of light motor vehiclesNumber of ordinary motor vehiclesNumber of small trucksNumber of light motor vehicles0.435** (0.660)Number of ordinary motor vehicles-0.126**0.385** (0.620)Number of small trucks-0.027**0.0050.333** (0.577)Table 3 Estimated covariance matrix in the proposed modelNote:1)**Significantat1%level;*Significantat5%level.2)Thestandardvarianceofthreeequationsarereportedinparentheses.14Conclusions•Summaryofcontentsandmajorfindingsarelistedasfollows.Summaryofcontents◆Thisstudyanalysesthevehicleownershipandtypeinthelocalcity,Japan.◆LargescalepersontripsurveydataforToyotaareusedforempiricalanalysis.◆Oneorderedprobitmodelproposedbyourpreviousstudyisappliedtocomplementunknownannualincome.◆Onetrivariateorderedprobitmodelisusedtomodelownershipofthreetypesofvehiclesinoneunifiedframeworksimultaneously.◆TheGibbsSampleralgorithmisappliedtoestimatetheunknownparametersefficiently.Majorfindings◆Theannualincomeonlyaffectstheownershipofordinarymotorvehicles.◆Comparedtothatwiththehouseholderlessthan60yearsold,householdswiththehouseholderequaltoormorethan60yearsoldwouldliketoownsmalltrucks.◆Thepopulationdensityaffectstheownershipoflightmotorvehicleandthatofsmalltrucksnegatively.◆Thereisasubstitutioneffectofvehicleownershipbetweenlightmotorvehiclesandsmalltrucks.15Thank you for your attention!Email: yang@ttri.or.jp
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