MODAL SPLIT OF WORK TRIPS UNDERTAKEN BY PUBLIC SERVANTS IN MINNA, NIGER STATE, NIGERIA.

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dc.contributor.authorKOLO, ABDULLAHI
dc.date.accessioned2014-02-11T11:37:44Z
dc.date.available2014-02-11T11:37:44Z
dc.date.issued2011-07
dc.descriptionA THESIS PRESENTED TO THE POST-GRADUATE 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, ZARIAen_US
dc.description.abstractThe use of multinomial logit models for predicting mode- choice decisions for urban travels has gained prominence in recent years. The prime advantage of this model lies in their ability to allocate travel demand among many modes at the same time, as opposed to the traditional binary mode-choice models developed in the early sixties. Journey to work is vital in any aspect of land use and transport planning. Transport remains a vital component of the urban economy that enables the populace to move freely between their homes and place of work. This study examines the factors that influence modes of travel of civil servants in Minna. Questionnaire administrations are used in establishing the modes of travel and factors influencing them were evaluated. The survey results showed that a large split of the workers (25.4%) use taxis as the dominant mode of transport to work. Statistical regression analysis using SPSS was used to derive the utility function and multinomial logit model was used to calculate the probability of occurrence of each particular mode.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1219
dc.language.isoenen_US
dc.subjectMODALen_US
dc.subjectSPLITen_US
dc.subjectWORKen_US
dc.subjectTRIPSen_US
dc.subjectUNDERTAKENen_US
dc.subjectPUBLICen_US
dc.subjectSERVANTSen_US
dc.subjectMINNAen_US
dc.subjectNIGER STATEen_US
dc.subjectNIGERIAen_US
dc.titleMODAL SPLIT OF WORK TRIPS UNDERTAKEN BY PUBLIC SERVANTS IN MINNA, NIGER STATE, NIGERIA.en_US
dc.typeThesisen_US
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