Trip Generation Rates for a University Campus: The Case of the Aristotle University of Thessaloniki, Greece

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 879)


Trip generation rates provide essential information in the transport planning process and especially in the land-use transport interaction models. Among the general population, university students form a specific group of people which is characterized by increased mobility rates. In the framework of this paper, the results from a survey concerning the trip generation rates of the students of the Aristotle University of Thessaloniki (AUTh), Greece are presented and discussed. The main university campus which is located in the city center, covers an area of around 430000 m2 and serves thousands of students on a daily basis. AUTh is actually the largest university in the country. A face-to-face questionnaire-based survey took place during spring 2015 and a number of 595 questionnaires from the students of AUTh was collected. A sample of 1% of the population of students from each one of the nine (9) Faculties of AUTh, which were examined in the research, was collected during the questionnaire-based survey. A total number of nine (9) questions were included in the questionnaires, aiming at the determination of the trip generation rates in the University campus. Linear regression analysis was used in order to construct a trip generation model. This model shows that trip generation rate almost equals to two daily trips per student. Four (4) models with dummy predictors were also constructed, using linear regression analysis, to describe the percentage distribution of the sampled population that made the trips throughout the day. Furthermore, data concerning the mobility characteristics of the university students are also presented in the framework of the paper. The results are expected to add some knowledge to the scientists involved in the design and implementation of a sustainable transport plan in the wider area of a University campus.


Trip generation rates Travel behavior University students’ mobility University campus travel plans 


  1. 1.
    Pitsiava-Latinopoulou, M.: Land use transport interaction in urban areas, Ph.D. thesis, Aristotle University of Thessaloniki (1984)Google Scholar
  2. 2.
    Pitsiava-Latinopoulou, M., Tsohos, G., Basbas S.: Trip generation rates and land use-transport planning in urban environment. In: Sucharov, L.J., Brebbia, C.A. (eds.) Proceedings of the 7th International Conference “Urban Transport and the Environment in the 21st Century – Urban Transport VII”. Advances in Transport, Wessex Institute of Technology, Lemnos, Greece, vol. 8, pp. 297–306. WITpress (2001)Google Scholar
  3. 3.
    Konstantopoulos, P., Neonakis, M., Tzortzinis S.: Trip generation about banks in the T.M.A, Diploma thesis, Aristotle University of Thessaloniki (1995)Google Scholar
  4. 4.
    Amavi, A.A., Romero, J.P., Dominguez, A., dell’Olio, L., Ibeas, A.: Advanced trip generation/attraction models. Procedia Soc. Behav. Sci. 160, 430–439 (2014)CrossRefGoogle Scholar
  5. 5.
    Berki, Z., Monigl, J.: Trip generation and distribution modelling in Budapest. Transp. Res. Procedia 27, 172–179 (2017)CrossRefGoogle Scholar
  6. 6.
    Konstantinidis, S., Politis, G., Triantafillidis C.: Trip generation rates and characteristics about Education in T.M.A., Diploma thesis, Aristotle University of Thessaloniki (1992)Google Scholar
  7. 7.
    Chatzipetrou, P., Aggelis, E.: Data analysis on AUTh students’ School entry and their current situation, Socially vulnerable students’ academic course observatory committee, Informatics School, Aristotle University of Thessaloniki (2012)Google Scholar
  8. 8.
    Lohr, S.L.: Sampling: Design and analysis, 2nd edn. Richard Stratton, Arizona State University (2010)Google Scholar
  9. 9.
    Giannopoulos, G.: Transport Planning: the Forecast Procedure of Future Travel Demand, Epikentro, Thessaloniki (2005)Google Scholar
  10. 10.
    Henderson, A.R.: Testing experimental data for univariate normality. Clin. Chim. Acta 366, 112–129 (2006)CrossRefGoogle Scholar
  11. 11.
    University of Texas. Accessed 15 Dec 2015
  12. 12.
    Institute for Digital Research and Education (IDRE), UCLA. Accessed 15 Dec 2015

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Engineering, School of Rural and Surveying EngineeringAristotle University of ThessalonikiThessalonikiGreece
  2. 2.Faculty of Engineering, School of Civil EngineeringAristotle University of ThessalonikiThessalonikiGreece

Personalised recommendations