Malmö University Publications
Change search
ExportLink to record
Permanent link

Direct link
BETA

Project

Project type/Form of grant
Project grant
Title [sv]
Framtidens integrerade och adaptiva kollektivtrafik
Title [en]
Towards integrated and adaptive public transport
Abstract [sv]

Om projektet

Den framtida kollektivtrafiken (KT) kommer troligen i allt högre utsträckning att automatiskt anpassa sig efter aktuellt rådande omständigheter och behov. Framförallt kan det finnas fördelar med sådana anpassningsbara tjänster i vissa typer av geografiska områden och vid vissa tider på dygnet, exv. då den ordinarie kollektivtrafiken inte är i drift.

Förflyttningen mot mer anpassningsbara och efterfrågestyrda tjänster underlättas av den snabba utvecklingen och spridningen av modern informationsteknologi, såsom artificiell intelligens, sakernas internet och smartphones. Dessutom ökar de tekniska framstegen inom självkörande fordon, vilka är bättre rustade att uppfylla de krav som ställs i efterfrågestyrd trafik. Det här projektet fokuserar på hur, när och för vem efterfrågestyrd KT kan vara användbar, samt vilka krav och möjligheter som finns med sådan trafik. Framförallt strävar projektet efter att besvara frågorna:

  • Hur och när kan efterfrågestyrd KT användas för resenärer med specifika behov eller i särskilda situationer (exv. under störningar i kollektivtrafiken eller vid större evenemang)?
  • Hur kan efterfrågestyrd KT integreras med särskild KT (exv. skolskjutsar eller färdtjänst) och tidtabellsstyrd KT?
  • Kan ett interaktivt resestöd både förbättra kvaliteten på resetjänster och minska resursutnyttjandet (exv. genom att interaktivt planera om resenärernas påstigningstid och plats)?

Projektet innefattar simuleringar av kollektivtrafiksystemet, litteraturstudier, intervjuer och aktiv dialog med industrin och kollektivtrafikaktörer för både insamling och spridning av kunskap.

Finansiärer: K2 och Malmö universitet

Samarbetspartners: Lunds universitet, Skånetrafiken, Västtrafik, SLL, Hogia, Sjöbo kommun.

Abstract [en]

About the project

The future Public Transport (PT) will probably automatically adapt better to the current situation. In particular, there is a need for such services in certain types of geographical areas and certain times of the day. There are also incentives to combine PT with special passenger transport services (e.g. transport of schoolchildren or disabled).

The move towards more adaptive services is further pushed by the rapid development and dissemination of modern information technology, such as artificial intelligence, Internet of Things and smartphones. Additionally, the technological advancements of self-driving vehicles, which are better equipped to meet the requirements of such traffic, are increasing.

This project is primarily focused on how, when and for who Demand-Responsive public Transport (DRT) can be useful as well as what the requirements and opportunities for such traffic are. How and when can DRT be used for travellers with special needs, or in specific situations (e.g. during PT disturbances or larger events)? Moreover, how can DRT be integrated with special passenger transport services and timetabled PT? Can an interactive travel support both improve travel service quality as well as reduce resource utilization (e.g. by interactively re-plan the travellers’ boarding time and address)? The project includes simulations of the PT system, literature studies, interviews and active dialogue with industry and PT actors for both acquisition and dissemination of knowledge.

Publications (2 of 2) Show all publications
Jevinger, Å. & Svensson, H. (2024). Stated opinions and potential travel with DRT – a survey covering three different age groups. Transportation planning and technology (Print), 47(7), 968-995
Open this publication in new window or tab >>Stated opinions and potential travel with DRT – a survey covering three different age groups
2024 (English)In: Transportation planning and technology (Print), ISSN 0308-1060, E-ISSN 1029-0354, Vol. 47, no 7, p. 968-995Article in journal (Refereed) Published
Abstract [en]

Previous  research  shows  that  well-grounded  knowledge  of  the intended  travellers  is  essential  for  achieving  successful  DRT services.  However,  there  is  a  lack  of  understanding  of  the potential  travels  in  different  age  groups,  and  the  acceptance  of design  alternatives  that  may  affect  these.  Based  on  surveys conducted  in  Sweden,  this  paper  investigates  these  factors  in  a hypothetical DRT service, in the age groups 6–17, 18–69 and over 70  years.  A  total  of  1241  people  answered  the  questionnaires. The  results  show  that  the  age  groups  have  similar  acceptance regarding  delays  and  departure time  intervals.  Older adults  have lower  acceptance  of  digital  solutions,  and  children  and  older adults  have  stronger  requirements  for  value-added  services. About  85–90%  of  the  respondents  claim  they  would  use  the service,  at  least  occasionally.  The  results  also  show  how  a  DRT system should be configured to allow room for system efficiency gains, while still being accepted by most travellers.

Place, publisher, year, edition, pages
Taylor & Francis, 2024
Keywords
Public transport, demand-responsive transport, survey, system configuration, potential travellers
National Category
Transport Systems and Logistics Information Systems
Research subject
Transportation studies
Identifiers
urn:nbn:se:mau:diva-66777 (URN)10.1080/03081060.2024.2337059 (DOI)001198469400001 ()2-s2.0-85190263129 (Scopus ID)
Available from: 2024-04-17 Created: 2024-04-17 Last updated: 2024-10-28Bibliographically approved
Dytckov, S., Davidsson, P. & Persson, J. A. (2023). Integrate, not compete! On Potential Integration of Demand Responsive Transport Into Public Transport Network. In: : . Paper presented at 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023. Bilbao, Bizkaia, Spain: Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Integrate, not compete! On Potential Integration of Demand Responsive Transport Into Public Transport Network
2023 (English)Conference paper, Published paper (Refereed)
Abstract [en]

On-demand transport services are often envisioned as stand-alone modes or as a replacement for conventional public transport modes. This leads to a comparison of service efficiencies, or direct competition for passengers between them. The results of this work point to the positive effects of the inclusion of DRT into the public transport network. We simulate a day of operation of a DRT service in a rural area and demonstrate that a DRT system that focuses on increasing accessibility for travellers with poor public transport access can be quite efficient, especially for reducing environmental impact. We show that DRT, while it produces more vehicle kilometres than private cars would inside the DRT operating zone, can help to reduce the vehicle kilometres travelled for long-distance trips. The results of this study indicate the need for a more systemic evaluation of the impact of the new mobility modes.

Place, publisher, year, edition, pages
Bilbao, Bizkaia, Spain: Institute of Electrical and Electronics Engineers (IEEE), 2023
Series
IEEE International Conference on Intelligent Transportation Systems-ITSC, ISSN 2153-0009, E-ISSN 2153-0017
Keywords
Simulation, Demand-Responsive Transport, Public transport
National Category
Transport Systems and Logistics Computer Sciences
Research subject
Transportation studies
Identifiers
urn:nbn:se:mau:diva-62399 (URN)10.1109/ITSC57777.2023.10422047 (DOI)001178996702011 ()2-s2.0-85186522768 (Scopus ID)979-8-3503-9946-2 (ISBN)
Conference
26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023
Available from: 2023-09-08 Created: 2023-09-08 Last updated: 2025-02-04Bibliographically approved
Project OfficerJevinger, Åse
Co-InvestigatorPersson, Jan A.
Co-InvestigatorDavidsson, Paul
Co-InvestigatorDytckov, Sergei
Co-InvestigatorLorig, Fabian
Funder
Period
2020-01-01 - 2022-12-31
National Category
Computer Sciences
Identifiers
DiVA, id: project:3065

Search in DiVA

Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar