Trip pattern of low-density residential area in semi urban industrial cluster: predictive modeling

Busari, A.; Oyedepo, J.; Modupe, A.; Bamigboye, G.; Olowu, L.; Adediran, J.; Ibikunle, F.

doi:10.22034/ijhcum.2017.02.03.005

Document Type : CASE STUDY

Authors

¹ Department of Civil Engineering, Covenant University Canaanland, Ota, Ogun State, Nigeria

² Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria

³ Department of Civil and Environmental Engineering, Landmark University, Omu-Aran, Kwara State, Nigeria

⁴ Department of Civil Engineering, Yaba College of Technology, Lagos State, Nigeria

https://doi.org/10.22034/ijhcum.2017.02.03.005

Abstract

This research elucidates the trip pattern of the low-density residential zone in a semi-urban industrial cluster of southwestern Nigeria. These sets of dwellers are often times neglected in the transportation planning process with the view that it is not a residential zone. Domiciliary information gathering procedure was employed in the analysis with 0.82 return rates. It was backed up with the focus group discussion method. Data on Frequency of trips, per capita trip, modal choice, and socio-economic and demographic data were collected, collated, and analysed using statistical software. Accordingly, a predictive model was formulated for the trip pattern for the low-density area. This was achieved with the aid of statistical software SPSS version 21.Consequently, the results of the multiple regression models showed that both monthly income and car ownership had a significant positive influence on the work trip while only car ownership positively influences non-work trip. R² values of 0.729 and 0.739 were obtained for the descriptive model at 95% confidence level. This established the robustness of the model, the analysis showed that monthly income and car ownership had a significant positive influence on the work trip with an R-square value of 0.729 and 0.739 for work and non-work trip respectively. This indicated that household will embark on more trips with an increase in car ownership and monthly income. However, effective transportation planning and traffic infrastructural development are recommended to meet the demands of the increased number of trips daily.

Graphical Abstract

Highlights

This research developed a predictive model for the trip pattern of low-density residential zone. The trip pattern of the low-density residential zone in a semi-urban industrial cluster of southwestern Nigeria was assessed. These sets of dwellers are often times neglected in the transportation planning process with the view that it is not a residential zone. Domiciliary information gathering procedure was employed in the analysis with 0.82 return rates. It was backed up with the focus group discussion method.
The results of the models developed showed that both monthly income and car ownership had a significant positive influence on the work trip while only car ownership positively influences non-work trip. This will help the government and transport planners on the effective transportation planning required in these zones.

Keywords

Main Subjects

Urban civil engineering and related management issues

References

Adeniji, K., (2000). Transport challenges in Nigeria in the next two decades. Monograph Nigerian institute of social and economic research (NISER) transport studies unit.

Aderamo, A.J., (2004). Planning for urban transportation in Nigeria, in Vandu- Chikolo, I.,Ogunsanya, A.A. and Sumaila, A.G. (eds.) Perspectives on Urban Transportation in Nigeria, NITT, Zaria, 312 – 331 (20 pages).

Anable, J., (2005). ‘Complacent car addicts’ or ‘aspiring environmentalists’? Identifying travel behaviour segments using attitude theory. Transport Policy, 12(1): 65-78 (14 pages).

Anderson, M.D.; Olander, J.P., (2002). Evaluation of two trip generation techniques for small area travel models. J. Urban Plann. Dev. 128(2): 77-88 (12 pages).

Ayeni, B., (1979). Concepts and techniques in urban analysis, Croom Helm, London.

Busari, A.A.; Owolabi, A.; Modupe, A.E., (2015a). Modelling the Effect of Income and Car Ownership on Recreational Trip in Akure, Nigeria. Int. J. Sci. Eng. Technol., 4(3): 223-225 (3 pages).

Busari, A.A.; Owolabi, A.O.; Fadugba, O.G.; Olawuyi, O.A., (2015b). Mobility of the Poor in Akure Metropolis: Income and Land Use Approach. J. Poverty Investment Dev., 15: 28-33 (6 pages).

Egunjobi, L., (1999). Our Gasping Cities An Inaugural Lecture delivered at the University of Ibadan on Thursday, 21^st October.

Fuller, L., (2008). Traffic report: A detailed analysis of the USA's congestion epidemic. Traffic technology international.

Hagman, O., (2003). Mobilizing meanings of mobility: car users’ constructions of the goods and bads of car use. Transportation research part D: Transport and environment, 8(1): 1-9 (9 pages).

Hanson, S.; Schwab, M., (1995). Describing disaggregate flows: Individual and household activity patterns. In Hanson, S. (ed.), The Geography of urban transportation (2^nd edn.), The Guilford press, New York, 166-187 (22 pages).

Hiscock, R.; Macintyre, S.; Kearns, A.; Ellaway, A., (2002). Means of transport and ontological security: Do cars provide psycho-social benefits to their users?. Transportation Research Part D: Transport and Environment, 7(2): 119-135 (16 pages).

Nigeria Population, (2017). www.world Population Review.com/countries/nigeria-population. Retrieved on the 15^th of August, 2017.

Nor, A.R.M., (2013). Travelling to school: transportation selection by parents and awareness towards sustainable transportation. Procedia Environmental Sciences, 17: 392-400 (9 pages).

Nor, A.R.M.; Noor, H.M.; Abdullah, Y.A., (2013). Urban Residents’ Awareness and Readiness for Sustainable Transportation Case Study: Shah Alam, Malaysia. Procedia-Social and Behavioral Sciences, 105: 632-643 (12 pages).

Ogunbodede, E.F., (2008). Urban road transportation in Nigeria from 1960 To 2006: Problems, prospects and challenges. Ethiopian J. Environ. Stud. Manage., 1(1): 7-18 (12 pages).

Ogwude, I.C., (2016). Managing transportation infrastructure in Nigerian cities. FUTA J. Manage. Technol., 1(1): 17-28 (12 pages).

Okoko, E., (2006). Urban transportation planning and modeling. MillenniumPublisher, Akure.

Olayemi, O.A., (1977). Intra-city person travel in metropolitan Lagos: study of commuting in the fast-growing capital of a developing country. Geoforum, 8(1): 19-27 (13 pages).

Olukanni, D.O.; Akinyinka, M.O., (2012). Environment, Health and Wealth: Towards an analysis of municipal solid waste management in Ota, Ogun State, Nigeria.

Onu, V.; Onu, A.J.C., (2012). Urban Residential Housing and Low-Income Earners: A Study of Makurdi Metropolis, Benue State, Nigeria. European Sci. J., ESJ, 8(28).

Owolabi, A.O., (2010). Trip pattern in Akure, Nigeria: A land use Analytical Approach. J. Transport. Manage., 21(2A): 63-71 (9 pages).

Oyedepo, O.J.; Makinde, O.O., (2009). Regression model of household trip generation of Ado-Ekiti township in Nigeria. Eur. J. Sci. Res, 28(1): 132-140 (9 pages).

Oyesiku, K.O., (2001). City poverty and emerging mobility crisis: The use of motorcycle as public transport in Nigerian cities. In communication à la 9th World Conference of Transport Research, Seoul, 22-27 (6 pages).

Oyesiku, O.O., (1990). Inter-Urban travels pattern in Nigeria. A Case Study of Ogun State. Unpublished Ph.D. Dissertation, University of Benin.

Papacostas C. S (2000) Transportation Engineering and Planning (3rd Edition), ISBN 10: 0130814199

Lebanon, Indiana, U.S.A.: Prentice Hall, May 26, 2000;

Salako, R.A., (1999). Ota: The biography of the foremost Awori town. Penink and Co, 85-87 (3 pages).

Solanke, M.O., (2005). Spatial Analysis of Intra-Urban Travel Patterns in Ogun state, Nigeria. Unpublished Ph. D. Dissertation, University of Ibadan, Ibadan, Nigeria.

Solanke, M.O., (2013). Intra-Urban work and school trips characteristics in Ogun state, Nigeria. Int. J. Dev. Sustainability, 2(2).

Tertoolen, G.; Van Kreveld, D.; Verstraten, B., (1998). Psychological resistance against attempts to reduce private car use. Transport. Res. Part A: Policy Pract., 32(3): 171-181 (11 pages).

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International Journal of Human Capital in Urban Management

Trip pattern of low-density residential area in semi urban industrial cluster: predictive modeling

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Volume 2, Issue 3
July 2017
Pages 211-218

Trip pattern of low-density residential area in semi urban industrial cluster: predictive modeling

References

References

Send comment about this article

Volume 2, Issue 3July 2017Pages 211-218

Volume 2, Issue 3
July 2017
Pages 211-218