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Vol.5 , No. 1, Publication Date: Jan. 20, 2018, Page: 17-24
 and this model was used to forecast travel demand in origin-destination trip matrices for the horizon year (2025). The study area was divided into nine zones (according to the council ward of Makurdi) to facilitate collection of data. Data on intra-city travel characteristics were collected through questionnaire distribution, National Population Commission, Ministry of Land and Survey Board. The analysis of data were done with the aid of computer software such as Microsoft excel and SPSS. A mathematical model was developed and the result shows that that the total number of trips made in each trip length segment increased for the horizon year (2025) as compared to the base year (2015), this was due to increase in population of trip makers in each trip length segment in year 2025. It was also found that 5 minute trips have the highest number of trips which are the intra-zonal trips and 10 minute trips have the highest percentage increase of 45.75%.&picture=http://www.aascit.org/aascit/decorators/img/journal/920.jpg)
| [1] | Emmanuel Okechukwu Nwafor, Civil and Environmental Engineering Department, Federal University of Technology, Akure, Nigeria. |
| [2] | Olufikayo Oluwaseun Aderinlewo, Civil and Environmental Engineering Department, Federal University of Technology, Akure, Nigeria. |
| [3] | Aondoseer Abraham Atoo, Civil Engineering Department, University of Agriculture, Makurdi, Nigeria. |
Trip generation models help planners anticipate where transportation services will be in the future and it is a fundamental operation within any urban transport planning system. Increase rate of urbanization have increased the population of Makurdi and commercial activities in the city. This have made Land prices and rental rates to escalate in the city centers, which force establishments and housing to move to the city peripherals and thus further increasing everyday commuting. Trip generation and distribution model of Makurdi metropolis was developed for the base year (2015) and this model was used to forecast travel demand in origin-destination trip matrices for the horizon year (2025). The study area was divided into nine zones (according to the council ward of Makurdi) to facilitate collection of data. Data on intra-city travel characteristics were collected through questionnaire distribution, National Population Commission, Ministry of Land and Survey Board. The analysis of data were done with the aid of computer software such as Microsoft excel and SPSS. A mathematical model was developed and the result shows that that the total number of trips made in each trip length segment increased for the horizon year (2025) as compared to the base year (2015), this was due to increase in population of trip makers in each trip length segment in year 2025. It was also found that 5 minute trips have the highest number of trips which are the intra-zonal trips and 10 minute trips have the highest percentage increase of 45.75%.
Keywords
Trip Generation Model, Trip Production Model, Trip Attraction Model, Travel Demand Model, Trip Base Model
Reference
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