Show simple item record

dc.contributor.authorAkbardin, Juang
dc.date.accessioned2013-05-17T09:02:46Z
dc.date.available2013-05-17T09:02:46Z
dc.date.issued2013-03
dc.identifier.citationChin, W.W. (1998). Partial Least Squares-Graph. User‟s Guide Vol. 3.0 Soft Modeling Inc. Ferdinand, Agusty. (2002). Struktural Equation Model dalam Managemen, Semarang – FE Universitas Diponegoro Kanafani, Adib (1983). Transportation Demand Analysis, Mc Graw Hill, USA. Lakshmanan, T.R. dan Anderson, W.P. (2002). Transportation Infrastructure, Freight Services Sector And Economic Growth. A white paper prepared for US. Department of Transportation Federal Highway Administration. Nielsen, O.A. (2004). A Stochastic Multimodal Freight Transport Assigment Model With Random Coeefisients, Proc. World Conference on Transport Research Society (WCTRS) D02 paper 1431 Istambul. Sivakumar, A. and Bhat, C (2002). Fractional Split – Distribution Model of Statewide Comodity Flow Analysis, Transportation Research record, 1790, pp.80-88 Tamin,Ofyar Z. (2000). Perencanaan dan Pemodelan Transportasi, penerbit ITB, Bandung.en_US
dc.identifier.issn19074026
dc.identifier.urihttp://hdl.handle.net/11617/3047
dc.description.abstractThe transportation network system of highway freight is one of main network distribution of freight movement. Infrastructure condition of highway transportation, the main subject of highway hardness has an important role to that continual flow distribution. Freight behaviour that make maximum capacity and carry away more freight to the highway transportation mode is the one of cause destroyed road becaused of overloading. The interaction between highway transportation network system to that serviced mode is the demand and supply interaction in the defined transportation infrastructure. That relation is defined on indicator and parameter that built by an influence variable each other from that interaction shape. Representation of estimation from transportation network system are traffic volume, road capacity, road saturation degree and road level of services condition. Freighter systems are based on sum characteristic of vehicle, company profile owner status and private owner status, become important factors to determine occurred how interation between that variable. Data distribution from each variable is studied how that data are match to variable characteristic that is defined base on stocastic and empiris approach. Relation model is estimated by Structural Equation Model to determine the contribution of each variable that built by the other variable base on indicator and parameter that is based from data distribution of each variable.en_US
dc.publisherMagister Teknik Sipil UMSen_US
dc.subjectTransportation networken_US
dc.subjectFreight Vehicleen_US
dc.subjectRegional Internalen_US
dc.titleVariable Relationships ESTIMATION OF CARGO TRANSPORTATION NETWORK SYSTEM To THE NUMBER OF INTERNAL REGIONAL CARGO MODE (Case Study OF ROAD NETWORK SYSTEM in Central Java Province)en_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record