Mode Choice of Undergraduates : A Case Study of Lecture Trips in Nigeria.

https://doi.org/10.22146/ijg.17630

Moses Olaniran Olawole(1*), Olabisi Michael Olapoju(2)

(1) 
(2) Department of Geography Obafemi Awolowo University, Ile-Ife, Nigeria
(*) Corresponding Author

Abstract


Abstract Travel behavior and determinants of mode choice of university students in Nigeria are neither well understood nor well represented in literature. This study model is modal choice of undergraduates, using data from students travel survey and logistic regression to determine factors influence modal choice of undergraduate students in Obafemi Awolowo University Ile-Ife, Nigeria. The results indicate that walking dominate modes for on-campus and commercial bus for off-campus students, while motorcycles taxi is used by few of the sample. Mode choices are influenced by a combination of socio-economic and trip factors. A key finding is extent that these variables positively affect the odds of using walk and commercial bus modes especially with reference to student residence: on and off-campus.  The results suggest investment in pedestrian infrastructure and development of intermodal transport system as a means of making the university livable and attractive.


Abstrak Kebiaasaan perjalanan dan penentu moda dari mahasiswa di Nigeria tidak juga dipahami dengan baik atau dijelaskan dalam literatur. Model penelitian ini adalah pemilihan moda mahasiswa menggunakan data dari survei perjalanan mahasiswa dan regresi logistik untuk menentukan faktor penyebab pilihan moda dari mahasiswa di Universitas Obafemi Awolowo, Ile-Ife, Nigeria. Hasilnya menunjukkan berjalan mendominasi pilihan untuk ke kampus dan kendaraan bus umum untuk mahasiswa di luar kampus, sementara sepeda motor taksi digunakan oleh beberapa sample. Pilihan cara dipengaruhi oleh kombinasi dari sosial-ekonomi dan faktor kunjungan. Inti penelitian adalah luasnya variabel positif mempengaruhi peluang dari berjalan dan kendaraan bus umum terutama rujukan ke asrama mahasiswa, dalam maupun luar kampus. Hasil penelitian menyarankan investasi pada infrastruktur pejalan kaki dan pengembangan dari sistem transportasi antarmoda sebagai sarana membuat universitas layak huni dan menarik.


Keywords


Mode choice; students; lecture trip; Obafemi Awolowo University; Nigeria

Full Text:

PDF


References

Abiola, O. S., & Ayodeji, J. D. (2012. Travel demand model for a typical Nigeria University. International Journal of Civil & Environmental Engineering.12 (3), 89-99.

Buehler, R. (2011). Determinants of transport mode choice: a comparison of Germany and the USA. Journal of Transport Geography. 19, 644–657

Chen, X.M.(2012). Statistical and activity-based modeling of university student travel behavior. Transportation Planning and Technology. 35, 591–610.

Delmelle, E.M., & Delmelle, E.C. (2012). Exploring spatio-temporal commuting patterns in a university environment. Transport Policy. 21, 1–9.

Eom, J. K., Stone, J.R., & Ghosh, S.K. (2009). Daily activity patterns of university students. Journal of Urban Planning and Development-Asce. 135, 141–149.

Gonzalo-Orden, H., Rojo, M., Velasco, L., & Linares, A. (2012). Mobility surveys and sustainable policies in universities. Proceeding ICE – Municipal Engineer. 165 (4), 219–229.

Ipingbemi, O., & Aiworo, A.B. (2013). Journey to school, safety and security of school children in Benin City, Nigeria. Transportation Research Part F. 19, 77–84

Khattak, A., Wang, X., Son, S., Agnello, P. (2011).

University student travel in virginia: is it different from the general population. Transportation Research Record. 2255, 137–145.

Larsen, K., Gilliland, J., & Hess, P.M., (2012). Route-Based Analysis to Capture the Environmental Influences on a Child's Mode of Travel between Home and School. Annals of the Association of American Geographers. 102 (6), 1348-1365,

Limanond,T., Butsingkorn,T., & Chermkhunthod, T. (2011). Travel behavior of university students who live on campus: A case study of a rural university in rural university in Asia. Transport Policy. 18, 163–171

McMillan,T., Day K., Boarnet,M., Alfonzo, M., & Anderson, C. (2006). Johnny Walks to School-Does Jane. Examining Sex Differences in Children's Active Travel to School. Children, Youth and Environments, 16 (1), 75-89

Mohammed, A.A., & Shakir, A.A., (2013). Factors that affect transport mode preference for graduate students in the national university of Malaysia by logit method. Journal Engineering Science Technology. 8 (3), 351–363.

Mokhtarian, P.L., & Salomon, I., (2001). How derived is the demand for travel? Some conceptual and measurement considerations. Transportation Research Part A – Policy and Practice. 35 (8), 695–719.

Nagelkerke, N. J. D., (1991). A note on general definition of the coefficient of determination. Biometrika. 78: 691–92

Lemeshow, S., & Hosmer, D. W., (1982). A review of goodness of fit statistics for use in the development of logistic regression models. American Journal of Epidemiology. 115, 92–106.

Ogunfowokan , A.O., Obisanya, J.F. & Ogunkoya, O.O. (2009). Assessment of chemical quality of three streams under different agricultural land systems in Obafemi Awolowo University Ile-Ife, Nigeria. Toxicological & Environmental Chemistry. 91 (5), 847-872, DOI:10.1080/02772240802615066

Olawole, M.O., & Aloba, O. (2014). Mobility characteristics of the elderly and their associated level of satisfaction with transport services in Osogbo, Southwestern Nigeria. Transport Policy. 35, 105–116, DOI information: 10.1016/j.tranpol.2014.05.018 http://authors.elsevier.com/sd/article/S0967070X14001176

Ory, D.T., Mokhtarian, P.L., Redmond, L.S., Salomon, I., Collantes, G.O., & Choo, S. (2004). When is commuting desirable to the individual. Growth and Change. 35 (3), 334–359.

Paez, A., & Whalen, K.( 2010). Enjoyment of commute: a comparison of different transportation modes. Transportation Research Part A – Policy and Practice. 44, 537–549.

Redmond, L.S., &Mokhtarian, P.L. (2001). The positive utility of the commute: modeling ideal commute time and relative desired commute amount. Transportation. 28 (2), 179–205.

Ripplinger, D., Hough, J., & Brandt-Sargent, B. (2009). The changing attitudes and behaviors of university students toward public transportation: Final Report, Small Urban and Rural Transit Center. Upper Great Plains Transportation Institute, North Dokota State University, Fargo, North Dokota

Salon, D., & Aligula, E. M. (2012).Urban travel in Nairobi, Kenya: analysis, insights, and opportunities. Journal of Transport Geography. 22 , 65–76

Shannon, T., Giles-Corti, B., Pikora, T., Bulsara, M., Shilton, T., & Bull, F.(2006). Active commuting in a university setting: assessing commuting habits and potential for modal change. Transportation Policy. 13, 240–253.

Tolley, R.(1996). Green campuses: cutting the environmental cost of commuting. Journal of Transport Geography. 4 (3), 213–217

Wang, X., Khattak, A., & Son, S. (2012). "What Can Be Learned from Analyzing University Student Travel Demand?" Transportation Research Record: Journal of the Transportation Research Board. 10.3141/2322-14, 129-137

Zhan, G., Yan, X., Zhu, S., & Wang, Y. (2016). Using hierarchical tree-based regression model to examine university student travel frequency and mode choice patterns in China. 45, 55–65

Zhou, J. (2014). From better understandings to proactive actions: Housing location and commuting mode choices among university students. 33, 166–175.

Zhou, J., (2012). Sustainable commute in a car-dominant city: factors affecting alternative mode choices among university students. Transportation Research Part A: Policy Practice. 46 (7), 1013–1029



DOI: https://doi.org/10.22146/ijg.17630

Article Metrics

Abstract views : 720 | views : 353

Refbacks

  • There are currently no refbacks.




Copyright (c) 2017 Indonesian Journal of Geography

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 30/E/KPT/2018, Vol 50 No 1 the Year 2018 - Vol 54 No 2 the Year 2022

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web
Analytics IJG STATISTIC