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Who benefits from Mobility as a Service? : A GIS‑based investigation of the population served by four ride‑pooling schemes in Hamburg, Germany
Citation Link: https://doi.org/10.15480/882.2730
Publikationstyp
Journal Article
Date Issued
2020-03-30
Sprache
English
Author(s)
Herausgeber*innen
Institut
TORE-DOI
TORE-URI
Volume
70
Issue
1
Start Page
25
End Page
33
Citation
KN - Journal of cartography and geographic information 70 (2020), 1, 25-33
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Springer International Publishing
The emergence of Mobility as a Service (MaaS) holds the potential to satisfy passengers’ needs more flexibly than conventional public transport, while being more affordable than traditional taxi services. This paper examines the potential benefits of ride-pooling schemes for low-income urbanites. Using a GIS-based method, I examine four schemes in Hamburg regarding their coverage of public welfare recipients.
Three out of four schemes have potentially serve a population with a lower share of public welfare recipients compared to the Hamburg average. Furthermore, the populations in their service areas have a lower share of elderly people. One scheme stands out regarding both welfare recipient share and elderly resident share. Due to municipal requirement, its fare is much lower than the other schemes’ fares. From a low-income population’s perspective, only this scheme holds the potential to enable the urban poor to partake in MaaS.
Three out of four schemes have potentially serve a population with a lower share of public welfare recipients compared to the Hamburg average. Furthermore, the populations in their service areas have a lower share of elderly people. One scheme stands out regarding both welfare recipient share and elderly resident share. Due to municipal requirement, its fare is much lower than the other schemes’ fares. From a low-income population’s perspective, only this scheme holds the potential to enable the urban poor to partake in MaaS.
Subjects
Mobility as a Service
Armut
Digitalisierung
Räumliche Analyse
Hamburg
Transport planning
ÖPNV
Nahverkehr
Poverty
Digitalisation
Spatial Analysis
GIS
Public Transport
DDC Class
300: Sozialwissenschaften, Soziologie
380: Handel, Kommunikation, Verkehr
More Funding Information
Deutsche Forschungsgemeinschaft
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Aberle2020_Article_WhoBenefitsFromMobilityAsAServ.pdf
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