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The Fourth Wave of Digitalization and Public Transport: Opportunities and Challenges
Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP). K2, The Swedish Knowledge Centre for Public Transport.ORCID-id: 0000-0003-0998-6585
Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP). K2, The Swedish Knowledge Centre for Public Transport.
Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP). K2, The Swedish Knowledge Centre for Public Transport.
Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP). K2, The Swedish Knowledge Centre for Public Transport.ORCID-id: 0000-0002-6019-1182
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2016 (Engelska)Ingår i: Sustainability, E-ISSN 2071-1050, Vol. 8, nr 12, artikel-id 1248Artikel i tidskrift (Refereegranskat)
Abstract [en]

We investigate the opportunities and challenges of the forth wave of digitalization, also referred to as the Internet of Things (IoT), with respect to public transport and how it can support sustainable development of society. Environmental, economical, and social perspectives are considered through analysis of the existing literature and explorative studies. We conclude that there are great opportunities for both transport operators and planners, as well as for the travelers. We describe and analyze a number of concrete opportunities for each of these actors. However, in order to realize these opportunities, there are also a number of challenges that needs to be addressed. There are both technical challenges, such as data collection issues, interoperability, scalability and information security, and non-technical challenges such as business models, usability, privacy issues, and deployment.

Ort, förlag, år, upplaga, sidor
MDPI, 2016. Vol. 8, nr 12, artikel-id 1248
Nyckelord [en]
public transport, Internet of Things, digitalization, opportunities, challenges
Nationell ämneskategori
Medicin och hälsovetenskap
Identifikatorer
URN: urn:nbn:se:mau:diva-16024DOI: 10.3390/su8121248ISI: 000389317100039Scopus ID: 2-s2.0-85007392146Lokalt ID: 23954OAI: oai:DiVA.org:mau-16024DiVA, id: diva2:1419546
Tillgänglig från: 2020-03-30 Skapad: 2020-03-30 Senast uppdaterad: 2024-06-17Bibliografiskt granskad
Ingår i avhandling
1. A Dynamic Approach to Multi-Agent-Based Simulation in Urban Transportation Planning
Öppna denna publikation i ny flik eller fönster >>A Dynamic Approach to Multi-Agent-Based Simulation in Urban Transportation Planning
2018 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Reviewing previous studies on using computational models for analyzing the effect of transport policies on transportation systems shows that agentbased models have not been used much in spite of their great potential for simulating dynamic aspects of policy instruments and travel behavior. The main reason can be the need for a lot of input data which is hard to prepare for the modeler. This has led to limited use of agent-based models in previous studies and even in those studies the scope of simulation is limited to only particular scenarios. In this thesis, I proposed a general-purpose agent-based simulation model for urban transportation that supports simulation of a wide range of policy instruments. The proposed model is designed in a way that a large part of the input data can be generated automatically using online web-services. The thesis also reports an empirical study on using our proposed generalpurpose model together with on-line travel planners in agent-based simulation for predicting the effect of different policy instruments on travel behavior. The results from our empirical study showed that our generalpurpose agent-based model predicts 72% of the real travel decisions correctly. Furthermore, the results of the simulation for various scenarios and combination of them seem to be acceptable. Finally, we found out that the use of on-line services for data collection increases the speed and flexibility of the system for defining and running new scenarios. However, the scalability of using on-line services in simulation is constrained by limitations of online service providers. The main contributions of this thesis are a general-purpose agentbased simulation model for urban transportation and a novel approach to automatically generate input data to the simulation using online travel planners and other web-services. This novel approach mitigates the challenge of agent-based simulation as a data-intensive method. This can lead to more widespread use for agent-based simulation in solving complex and realistic transportation scenarios. Another contribution of this thesis is on visualization of simulation output. One of the main challenges of using simulation systems by transport planners and decision makers as end-users is to understand the complex output of the simulation. In this thesis, I empirically demonstrated how the usability of a freight transport simulation system is improved by adding a visualization module that illustrates the results of the simulation for the end-users.

Ort, förlag, år, upplaga, sidor
Malmö university, Faculty of Technology and Society, 2018. s. 43
Serie
Studies in Computer Science ; 5
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
urn:nbn:se:mau:diva-7771 (URN)10.24834/2043/24881 (DOI)24881 (Lokalt ID)9789171049247 (ISBN)9789171049254 (ISBN)24881 (Arkivnummer)24881 (OAI)
Disputation
2018-06-14, B2, Niagara, Malmö, 13:00 (Engelska)
Opponent
Anmärkning

Vid tidpunkten för disputationen var följande delarbete opublicerat: delarbete V (manuskript).

At the time of the doctoral defence the following paper was unpublished: paper V (manuscript).

Tillgänglig från: 2020-02-28 Skapad: 2020-02-28 Senast uppdaterad: 2024-03-14Bibliografiskt granskad

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Davidsson, PaulHajinasab, BanafshehHolmgren, JohanJevinger, ÅsePersson, Jan A.

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