2018
DOI: 10.1007/978-3-030-02305-8_64
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A Criteria-Based Evaluation Framework for Assessing Public Transport Related Concepts Resulted from Collective Intelligence Approaches

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Cited by 8 publications
(4 citation statements)
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“…Indeed, in Greece, the respective road infrastructure is not yet adequate for the safe use of micromobility means of transport, and perhaps this is reflected in the view of epidemiologists. In this new landscape of urban mobility after the COVID-19 pandemic, participatory techniques and co-creation processes could be used in order to include the needs and wishes of citizens in the service of the different mobility providers [24][25] [26], regarding mobility innovations [27][28], such as Demand Responsive Transport (DRT) [29], shared micromobility [30], autonomous buses [31], etc. Finally, the new challenge of the COVID-19 pandemic boosted the promotion of active mobility and the redistribution of public space [5][6] and, therefore, this challenge arose much earlier than expected [32]…”
Section: Overall Resultsmentioning
confidence: 99%
“…Indeed, in Greece, the respective road infrastructure is not yet adequate for the safe use of micromobility means of transport, and perhaps this is reflected in the view of epidemiologists. In this new landscape of urban mobility after the COVID-19 pandemic, participatory techniques and co-creation processes could be used in order to include the needs and wishes of citizens in the service of the different mobility providers [24][25] [26], regarding mobility innovations [27][28], such as Demand Responsive Transport (DRT) [29], shared micromobility [30], autonomous buses [31], etc. Finally, the new challenge of the COVID-19 pandemic boosted the promotion of active mobility and the redistribution of public space [5][6] and, therefore, this challenge arose much earlier than expected [32]…”
Section: Overall Resultsmentioning
confidence: 99%
“…Within this group, we nd studies that deal with delivering mobility information to passengers [33][34][35][36][37], studies on the accessibility of speci c groups such as the elderly [38-44], children [45], people with special needs [46][47][48], studies related to travel decision-making [49-51], tools to encourage passengers to use more sustainable modes of transportation [52-65], systems to stimulate passenger awareness with gami cation-focused apps [66-71], apps to encourage walking [72][73][74][75] and user behavior change towards more sustainable modes of mobility [76][77][78][79][80][81]. Additionally, the group also includes studies related to behavioral analysis based on social networks [82-84], creation of density maps using cell phone data [85,86], studies on population participation in mobility management decisions [87-89], and the development of crowdsourcing and crowdsensing practices [90][91][92][93][94][95][96][97][98][99][100].…”
Section: Subgroups Of It Studies Applied In Sustainable Urban Mobilitymentioning
confidence: 99%
“…For example, small-sized cities may lack public transportation systems while giving more emphasis on active mobility (walking and cycling) compared to the bigger cities and metropolitan areas. Relevant literature should be considered in case the small-sized city gives more emphasis on cycling [16], walking [17][18][19][20], and public transportation [21][22][23][24] or even on more innovative approaches, such as carsharing [25][26], carpooling [27], and DRT [28]. Another aspect that should be considered is whether the small-sized city has a university campus or not, as in Greece, this is very common.…”
Section: Conclusion and Proposals For Further Researchmentioning
confidence: 99%