SilverBus: enhancing mobility for seniors through demand responsive transport: a pre-post experimental study

Abstract The increasing trend of population aging has heightened interest in public transport policies that promote active aging. Given the limited availability of public funds, it is crucial to identify best practices and methodologies to guide public policy investments effectively. This study underscores the importance of thorough development, testing, and ex-post validation of hypotheses in transport policymaking for the elderly. The research, which was based on the analysis of survey data (250 valid interviews) collected prior to and following the trial of ‘SilverBus’ – a Demand Responsive Transport (DRT) service designed for residents over the age of 65 in Genoa, Italy – highlights the importance of the trial phase. The findings demonstrate that pre- and post-test analyses are essential to contain public costs and enhance service quality. The construction of a logistic regression model further aids in identifying significant factors influencing the willingness to use a tailored urban public mobility service dedicated to the over-65 residents. This comprehensive approach ensures that transport services are effectively aligned with the actual needs of the elderly population, promoting active aging and efficient use of public resources.

Authors

Institutions

Publication Details

Journal
Transportation
Published
2025-08-30
DOI
https://doi.org/10.1007/s11116-025-10675-w
Citations
2
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
1.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SilverBus: enhancing mobility for seniors through demand responsive transport: a pre-post experimental study

Claudia Burlando, Enrico Ivaldi, Tiziano Pavanini, Susanna Traversa
2 citations
Transportation
Transportation and Mobility Innovations
1.37
article

SilverBus: enhancing mobility for seniors through demand responsive transport: a pre-post experimental study

Claudia Burlando, Enrico Ivaldi, Tiziano Pavanini, Susanna Traversa
article en
2 citations

Abstract

Abstract The increasing trend of population aging has heightened interest in public transport policies that promote active aging. Given the limited availability of public funds, it is crucial to identify best practices and methodologies to guide public policy investments effectively. This study underscores the importance of thorough development, testing, and ex-post validation of hypotheses in transport policymaking for the elderly. The research, which was based on the analysis of survey data (250 valid interviews) collected prior to and following the trial of ‘SilverBus’ – a Demand Responsive Transport (DRT) service designed for residents over the age of 65 in Genoa, Italy – highlights the importance of the trial phase. The findings demonstrate that pre- and post-test analyses are essential to contain public costs and enhance service quality. The construction of a logistic regression model further aids in identifying significant factors influencing the willingness to use a tailored urban public mobility service dedicated to the over-65 residents. This comprehensive approach ensures that transport services are effectively aligned with the actual needs of the elderly population, promoting active aging and efficient use of public resources.

Transportation
IULM University (IT), University of Genoa (IT)
Università degli Studi di Genova, European Regional Development Fund
Openalex Percentile: Top 17%
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.