QUICK RESPONSE TRAVEL DEMAND MODELLING: A CASE STUDY OF ZARIA

dc.contributor.authorSHEHU, RABIU USMAN
dc.date.accessioned2014-03-11T13:15:41Z
dc.date.available2014-03-11T13:15:41Z
dc.date.issued2011-07
dc.descriptionA THESIS PRESENTED TO THE POSTGRADUATE SCHOOL OF AHMADU BELLO UNIVERSITY, ZARIA, NIGERIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF MASTER OF SCIENCE (M.SC) DEGREE IN CIVIL ENGINEERING. DEPARTMENT OF CIVIL ENGINEERING, FACULTY OF ENGINEERING, AHMADU BELLO UNIVERSITY, ZARIA.en_US
dc.description.abstractInternal Volume Forecasting Technique is one of the several methods of Quick Response Travel Demand technique. This thesis reviewed the various techniques used in travel demand modelling and demonstrated the application of the Internal Volume Forecasting technique towards deriving a travel demand model for Zaria. The study successfully validated the simplified travel demand model for application in the study area and by extension, others with similar characteristics. The method was applied to four zones (Zaria city, Sabon Gari, Tudun Wada and Samaru) all in Zaria Urban Area. The data used in the model include demographic and socio-economic data. These are population, employment, recreation and commercial activities. Appropriate combinations of production and attraction which was population and recreation only for the zones of study produced a final model of trip generation and distribution as; 􀢂 = 􀫚􀫜􀫚􀫟.􀫠􀫝􀫙+􀫙.􀫙􀡼􀫙􀡾. 􀫢Th×e 􀡲travel time exponent of 2.0 found in this study conform to the study conducted by the U. S. Department of Transportation in the year 2000. The result of the model can be used in future forecasting of traffic in Zaria after a further slight improvement to the model to carry out the assignment stage. A Microsoft excel sheet probability factors.xls has been created in the course of this work to ease the difficulty of determining the trip probability factors.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/3712
dc.language.isoenen_US
dc.subjectQUICK RESPONSE,en_US
dc.subjectTRAVEL,en_US
dc.subjectDEMAND,en_US
dc.subjectMODELLING,en_US
dc.subjectCASE STUDY,en_US
dc.subjectZARIAen_US
dc.titleQUICK RESPONSE TRAVEL DEMAND MODELLING: A CASE STUDY OF ZARIAen_US
dc.typeThesisen_US
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