ESTIMATION OF TRIP GENERATION RATES FOR RESIDENTIAL LAND USE IN UYO, NIGERIA

Authors

  • IN Usanga DEPT OF CIVIL ENGINEERING, AKWA IBOM STATE UNIV., IKOT AKPADEN, AKWA IBOM STATE, NIGERIA
  • RK Etim DEPT OF CIVIL ENGINEERING, AKWA IBOM STATE UNIV., IKOT AKPADEN, AKWA IBOM STATE, NIGERIA
  • V Umoren DEPARTMENT OF URBAN AND REGIONAL PLANNING, UNIV. OF UYO, UYO, AKWA IBOM STATE, NIGERIA.

Keywords:

Trip generation; analysis of variance, ANOVA; cross classification

Abstract

Change in trip rates affects a transportation system and could lead to the redesign of the transport infrastructure in order to satisfy the new demand. This study estimates trip generation rates for residential land use in Uyo using cross classification method. Five (5) residential estates were considered and household survey carried out to collect trip data from 500 households on purpose and mode of travel through household interview and their response recorded in questionnaire. Four independent variables (household size, household income, car ownership, number of employed persons) were used for the study based on the prevailing conditions of the residential land use. Cross-classification trip rates were developed from the most significant variables; household size, household income and car ownership. The analysis indicated that work trip produced the highest reported trip rates of 29.6% followed by religious trip of 24.7%. Similarly, private car trips contributed 42.8% of trips made by mode of travel as the highest trip. It was found that household size is the strongest socio-economic variable that influence trip generation in residential land use in Uyo. The cross-classification trip rates developed in this study could provide basis for the estimation of trip generation in residential land use in Uyo.

 

http://dx.doi.org/10.4314/njt.v39i4.2

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Published

2020-09-30

Issue

Section

Building, Civil & Geotechnical Engineering

How to Cite

ESTIMATION OF TRIP GENERATION RATES FOR RESIDENTIAL LAND USE IN UYO, NIGERIA. (2020). Nigerian Journal of Technology, 39(4), 972-980. https://nijotech.com/index.php/nijotech/article/view/2432