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01-05-2016

Public transport demand: dynamic panel model analysis

Authors: Manel Daldoul, Sami Jarboui, Ahlem Dakhlaoui

Published in: Transportation | Issue 3/2016

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Abstract

This paper presents an original essay that explains the mobility behaviour towards the public transport supply in Tunisia. This research aims to determine the key variables affecting an individual’s decision to travel by public transport and explains how the use of these means fits the mobility strategies. The dynamic panel model is applied to twelve Tunisian Regional companies, where we aim to analyze the behaviours of Tunisian citizens in the regions where Regional Transport Companies ensure the total service supply of urban, interurban and suburban public transport of travellers. The results show that mobility behaviours are subject to various variables. In particular, service quality, mean price and active population are the most significant variables regarding public transport demand in Tunisia.

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RTC of Béja, RTC of Bizerte, RTC of Gabés, RTC of Gafsa, RTC of Jendouba, RTC of Kairouan, RTC of Kasserine, RTC of Kef, RTC of Médenine, RTC of Nabeul, RTC of Sfax, RTC of Sousse.

The basic model contains all the explicative variables. Following a correlation between the global income of all the inhabitants and the general occupation rate of population, we have estimated two other models where each of these variables is included in one model.

RTC of Sousse serves 3 departments: Sousse, Monastir and Mahdia. RTC of Gabes serves 2 departments: Gabes and Gabéli. RTC of Gafsa serves 3 departments: Sidi Bouzid, Gafsa and Tozeur. RTC of Kef serves 2 departments: Kef and Siliana. RTC of Mednine serves 2 departments: Mednine and Tataouine. RTC of Nabeul serves 2 departments: Nabeul and Zaghouan.

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Title: Public transport demand: dynamic panel model analysis
Authors: Manel Daldoul
Sami Jarboui
Ahlem Dakhlaoui
Publication date: 01-05-2016
Publisher: Springer US
Published in: Transportation / Issue 3/2016
Print ISSN: 0049-4488
Electronic ISSN: 1572-9435
DOI: https://doi.org/10.1007/s11116-015-9586-1

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