2016
DOI: 10.3390/su8121248
|View full text |Cite
|
Sign up to set email alerts
|

The Fourth Wave of Digitalization and Public Transport: Opportunities and Challenges

Abstract: Abstract: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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
30
0
1

Year Published

2018
2018
2020
2020

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 61 publications
(38 citation statements)
references
References 36 publications
2
30
0
1
Order By: Relevance
“…Still, setting up highly efficient, reliable and accurate systems could remain a great future challenge [7]. Such solutions require adequate business models to regulate revenues distribution to cover involved subjects costs, security mechanism to protect data against unauthorized access and malicious actors, anonymizing algorithms for strong analyses, standards for acquiring interoperability, algorithms and storage solutions for big data operations, interaction models for increasing usability, and efforts to make users involved AI and IoT systems deployment processes [13]. We extracted a set of key requirements to enable more reliable systems: security (regulations, standards and guidelines deployment, end-to-end security mechanisms, intrusion detection systems, post incident management, data encryption, configurable authorization control, users security skills training), data (data fusion, enforced formal data sharing frameworks, cloudcomputing, nonrigid SQL databases, automated collection and analyses) flexibility (open APIs, device and sensors manageability, constant development through networking and device agnosticism) [3,7,22,52].…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Still, setting up highly efficient, reliable and accurate systems could remain a great future challenge [7]. Such solutions require adequate business models to regulate revenues distribution to cover involved subjects costs, security mechanism to protect data against unauthorized access and malicious actors, anonymizing algorithms for strong analyses, standards for acquiring interoperability, algorithms and storage solutions for big data operations, interaction models for increasing usability, and efforts to make users involved AI and IoT systems deployment processes [13]. We extracted a set of key requirements to enable more reliable systems: security (regulations, standards and guidelines deployment, end-to-end security mechanisms, intrusion detection systems, post incident management, data encryption, configurable authorization control, users security skills training), data (data fusion, enforced formal data sharing frameworks, cloudcomputing, nonrigid SQL databases, automated collection and analyses) flexibility (open APIs, device and sensors manageability, constant development through networking and device agnosticism) [3,7,22,52].…”
Section: Discussionmentioning
confidence: 99%
“…Results including number of works assigned to the most popular list of topics and the most commonly used engineering controlled terms and keywords compared to full texts analysis, map out sustainable development's areas of AI and IoT deployment: power sector [5,11,19,20], smart city [7,9,11,[21][22][23][24][25][26], architectural design and smart buildings [27][28][29], transportation, tracking systems, traffic congestion and smart roads [7,9,11,13,25], company operations, business development [8,[30][31][32], manufacturing and industrial control [9,10,16,[33][34][35][36], product design and lifecycle [34,37], threat identification systems, earlywarning systems, emergency services, tracking and surveillance [7,9], agriculture [38,39], natural resources management, especially water resources [4,6,7,40], waste management [9][10][11], health...…”
Section: Sustainable Development's Areas For Ai and Iot Deploymentmentioning
confidence: 99%
See 1 more Smart Citation
“…Ofte blir muligheter framfor begrensninger knyttet til IoT trukket fram i litteraturen, blant annet innenfor matvaresikkerhet (Ellis, Muhamadali, Haughey, Elliott & Goodacre, 2015), potensialet i smarte hjem (Devi, Rohini & Suganya, 2016), intelligente helsesystemer, (Feng, 2016) til å utvikle nye forretningsmodeller (Elter, Gooderham, Dasi & Pedersen, 2018), eller knyttet til offentlig transport hvor IoT kan bidra til større miljømessig, økonomisk og sosial baerekraft (Davidsson, Hajinasab, Holmgren, Jevinger & Persson, 2016). Påfallende er det likevel at sikkerhetsutfordringene så vidt nevnes, som i ovennevnte studier.…”
Section: Tidligere Studierunclassified
“…This creates the pressure for building new roads that irreversibly disturb the natural environment. Various authors deal with the issue of sustainability of the transport in their research works [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%