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dc.contributor.authorSonya Sulistyono
dc.contributor.authorAkhmad Hasanuddin
dc.contributor.authorYurike Ogi Adrisyanti
dc.date.accessioned2014-04-02T00:48:18Z
dc.date.available2014-04-02T00:48:18Z
dc.date.issued2014-04-02
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/56645
dc.descriptionThe 15th International Symposium of Indonesian Inter University Transportation Studies Forum Theme: ”Enhancing Transportation Research and Technology to Improve the Performance of Freight Transportation and Logistics” The School of Land Transportation - Bekasi, November 24th, 2012en_US
dc.description.abstractBy increasing the population in Jember, also increase the need for housing. BWK IV (Tegal Besar Region) is one of the rapidest growing residential areas. There are 18 new housings in this region. So, trip generation studies of some housing in BWK IV need to be done to estimate the number of trips. Bumi Estate Muktisari and Taman Gading Housing is one of highest number of housing, and have a dependency on J1. Letjen Suprapto as the main access road to the central part of Jember. The number of occupancy in two housing reached 2,355 units (Bumi Estate Mutisari is 1,237 units and Taman Gading is 1,228 units). Trip generation analysis based on household that apply the step by step type-2 on those housing. The best trip generation model is Y = - 0.439 + 0.174X 2 + 0.741X 3 + 0.797X 4 + 0.484X . Independent variables that affect the production of trips include: the number of family members (X 2 6 ), the family member who worked (X ), the family member who get school (X 4 ), and vehicle ownership (X 6 ). The R 2 value is 0.74 which means that 74% of production is influenced by the free variables on that model.en_US
dc.language.isootheren_US
dc.subjectmultiple linear regression, trip generation, home-based tripen_US
dc.titleTRIP GENERATION ANALYSIS USING MULTIPLE LINEAR REGRESSION METHOD ON BUMI ESTATE MUKTISARI AND TAMAN GADING HOUSING JEMBER REGENCYen_US
dc.typeArticleen_US


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