Design, implementation and monitoring of a Demand Responsive Transport service for student leisure transfers: The case study of University of Trieste

• A DRT service was developed to meet students’ nighttime leisure mobility needs • The Stated Preferences method and Logit models were used to design the service • A monitoring plan was defined to assess the performances of the DRT service • Consistency in service features was found between estimated and real data Given their high flexibility, Demand Responsive Transport (DRT) services have been increasingly implemented in recent years to address mobility challenges associated with environmental and social sustainability. Such transport solutions are particularly suited to satisfy the needs of specific customer categories and territories, and to serve peak-off periods. Efficiency in resource allocation and cooperation among the involved stakeholders represent crucial aspects to ensure the successful implementation of DRT services. To prove this, the study describes the results of the fruitful collaboration between the University of Trieste, Italy, and the local public transport operator in the design and implementation of a DRT service to accommodate the evening and night leisure transfers of university students. To this end, a questionnaire was administered to students in order to perform a demand analysis: notably, a discrete choice experiment was carried out to define the characteristics of the service in terms of city area served, booking time, fare and service timing. According to a logit model, the probability of students of choosing a certain service alternative was defined, suggesting the preferred service configuration. Consequently, a mobile application was developed to digitize the procedures of booking, tracing and paying bus transfers, other than monitoring the performances of the DRT service. Data collected during six months of service operation show promising results, having recorded a peak of 500 served students in one shift. A satisfactory survey revealed that the main service advantages perceived by users deal with an increase in economic convenience, transfer flexibility and personal security.

Authors

Institutions

Publication Details

Journal
Transportation Engineering
Published
2025-05-18
DOI
https://doi.org/10.1016/j.treng.2025.100345
Citations
2
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
1.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design, implementation and monitoring of a Demand Responsive Transport service for student leisure transfers: The case study of University of Trieste

Caterina Caramuta, Giovanni A. Longo, Lucia Rotaris, A. Grosso et al.
2 citations
Transportation Engineering
Transportation and Mobility Innovations
1.37
article

Design, implementation and monitoring of a Demand Responsive Transport service for student leisure transfers: The case study of University of Trieste

Caterina Caramuta, Giovanni A. Longo, Lucia Rotaris, A. Grosso, Chiara Ricchetti
article en
2 citations

Abstract

• A DRT service was developed to meet students’ nighttime leisure mobility needs • The Stated Preferences method and Logit models were used to design the service • A monitoring plan was defined to assess the performances of the DRT service • Consistency in service features was found between estimated and real data Given their high flexibility, Demand Responsive Transport (DRT) services have been increasingly implemented in recent years to address mobility challenges associated with environmental and social sustainability. Such transport solutions are particularly suited to satisfy the needs of specific customer categories and territories, and to serve peak-off periods. Efficiency in resource allocation and cooperation among the involved stakeholders represent crucial aspects to ensure the successful implementation of DRT services. To prove this, the study describes the results of the fruitful collaboration between the University of Trieste, Italy, and the local public transport operator in the design and implementation of a DRT service to accommodate the evening and night leisure transfers of university students. To this end, a questionnaire was administered to students in order to perform a demand analysis: notably, a discrete choice experiment was carried out to define the characteristics of the service in terms of city area served, booking time, fare and service timing. According to a logit model, the probability of students of choosing a certain service alternative was defined, suggesting the preferred service configuration. Consequently, a mobile application was developed to digitize the procedures of booking, tracing and paying bus transfers, other than monitoring the performances of the DRT service. Data collected during six months of service operation show promising results, having recorded a peak of 500 served students in one shift. A satisfactory survey revealed that the main service advantages perceived by users deal with an increase in economic convenience, transfer flexibility and personal security.

Transportation EngineeringVol. 20
University of Trieste (IT)
Openalex Percentile: Top 19%
Transportation and Mobility Innovations
1.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.