Louafi Bouzouina (p), Ayman Zoubir

Universities are recognised as special generators in transportation planning processes. Large university campuses contribute in a variety of ways to the travel demand. However, university populations are underrepresented in travel behaviour studies in particular regular household travel surveys. Considered as a hard-to-reach group, they remain under-studied in the travel behaviour analysis arena and only a few documented surveys focusing on university communities travel behaviour exist in the in the literature. Furthermore, underlying trends in travel demand for young adults indicate decreasing car-use and ownership, especially in urban areas. This trend deserves special attention and requires a better understanding of the logics behind mobility patterns of this specific population.

This paper reports on an undergoing research project MobiCampus-UdL (2016-2019) carried out by Transport Urban Planning Economics Laboratory with the support of University of Lyon and Lyon metropolitan authority. With a potential to reach around 150,000 students, faculty and staff members, in 26 academic and research institutions, the objective of the research project is to understand university communities daily travel behaviour, aiming to help campuses managers in designing adequate mobility management strategies. The aim of the paper is to shed light on specific issues concerning the impact of transport accessibility on modal choices using various indicators.

Information used in this study was retrieved from a large ongoing web survey. A substantial pool of data of over 5,000 individuals (undergraduate students, graduate students and staff) was collected from seven campuses in different urban settings (urban and suburban context). The descriptive analysis of the data shows that besides the individual characteristics (status, age, gender, income…), the access to mobility means (driving licence, car availability, public transport pass…), spatial factors (campus location, residential location, availability of public transportation, parking policy) are highly correlated to the modal choice. In order to confirm the specific effect of the accessibility, among the different spatial factors, logistic regressions are estimated. The results show that the accessibility to public transport matters, mainly for students. However, the non-use of the car is more related to parking policy restrictions (for campuses situated in central area) and the proximity of accommodation for students (for campus situated in suburban area). In addition to socio-economic differences, the specific distinction between universities and “Grandes Ecoles” (Engineering & Business schools) in France, is also at the origin of the differences in parking and student housing policies and affect consequently the travel mode choice.

Jorge Escoin (p), Jose Ramon Otegi Olaso , Igone Porto Gomez

Background:

Smart cards are devices designed to store and, in most cases, process data. They are very portable (the size of a credit card) and durable (Lu, 2007), which makes them suitable for many applications involving identification, authorization, and payment.

Pelletier, Trépanier and Morency (2011) explains the uses of smart cards in public transport and these concepts have been widely developed in the literature.

What:

In public transit, the use of smart cards for travelling requires the existence of a corporate information system, which makes it possible to validate the use of the card through the network, while storing transaction data in big databases.

The exploitation of this data can help public Transit Authorities in making decisions for the sizing of transport systems, establishment of travel patterns, O-D Matrix estimations (Tenenbaum de Oliveira and Nassi, 2015), etc. Also, smart card systems can be used to calculate precise performance indicators on a transit network, like schedule adherence, vehicle-kilometers, and person-kilometers for every individual run, route, or day (Trépanier et al., 2009).

In this case, we propose a framework to measure the performance of multimodal transport through the use of the different smart cards in its own territories and in its neighbour regions, based in the cooperation of three different Transport Authorities.

When & Where:
This research focuses on the cross-use of smartcards in the Basque Country and its impact on interior mobility. The studio focuses on rail transport (conmuter rail, metro and tramway), with the data recolected in 2017

Alessandro Fedele (p), Federico Boffa , Alberto Iozzi

We analyze the market for autonomous vehicles (AVs). We show how different market structures and different rules for the available capacity utilization affect the internalization of congestion externality in a setting in which there is instant information on congestion and vehicles are part of fleets, therefore displaying a non-atomistic behavior. We also show how taxation should be implemented in such a setting in order to restore efficiency.