Electric City Buses with Modular Platform: A Design Proposition for Sustainable Mobility

2017 ◽  
pp. 789-800
Author(s):  
Cristiano Fragassa
Keyword(s):  
Sustainable Mobility ◽  
Modular Platform

Minimetrò in Perugia as leverage for urban regeneration

TERRITORIO ◽  
2020 ◽  
pp. 148-163
Author(s):  
Luca Fondacci
Keyword(s):  
Urban Regeneration ◽  
Urban Environments ◽  
Low Carbon ◽  
Sustainable Mobility ◽  
Field Surveys ◽  
Peripheral Area ◽  
Alternative Means ◽  
Considerable Impact ◽  
The City ◽  
Historical Centre

In the 1970s, the fragile historical centre of the city of Perugia was a key area where the binomial of sustainable mobility and urban regeneration was developed and applied. At the turn of the xxi century, the low carbon automatic people-mover Minimetrò broadened that application from the city's historical centre to the outskirts, promoting the enhancement of several urban environments. This paper is the outcome of an investigation of original sources, field surveys and direct interviews, which addresses the Minimetrò as the backbone of a wide regeneration process which has had a considerable impact on the economic development of a peripheral area of the city which was previously devoid of any clear urban sense. The conclusion proposes some solutions to improve the nature of the Minimetrò as an experimental alternative means of transport.

Transferring Urban Mobility Studies in Tehran, Istanbul, and Cairo to Other Large MENA Cities: Steps toward Sustainable Transport

2020 ◽  
Vol 65 (1) ◽  
pp. 27-44 ◽  
Author(s):  
Houshmand Masoumi ◽  
Erik Fruth
Keyword(s):  
Decision Makers ◽  
Lead Author ◽  
Urban Mobility ◽  
Sustainable Transport ◽  
Sustainable Mobility ◽  
Large Share ◽  
Mena Region ◽  
Large Cities ◽  
Mobility Studies ◽  
Legal Constraints

AbstractThe number of urban mobility studies and projects in the three large metropoles of the Middle East and North Africa (MENA) region, Tehran, Istanbul, and Cairo, is growing while other large cities do not enjoy a large share. It would be efficient for those other large cities to adapt the experiences, projects, and studies of Tehran, Istanbul, and Cairo to their own contexts. This paper can help facilitate that adaptation. It investigates the transferability and generalisability of the findings of a recent publication by the lead author on mobility choices in Tehran, Istanbul, and Cairo to some other large cities of more than one million inhabitants in the MENA region. The discussion provided here can provide decision-makers in the MENA region with guidance on how to utilise the findings from a recent study on Tehran/Istanbul/Cairo in their own contexts. T-tests were conducted to test the comparability of the three base cities with a sample 57 others with populations of over one million people. The results show that it would be possible to adapt the urban mobility studies of the three base megacities to 3 to 27 cities based on different criteria. Key suggestions identified by this study include providing local accessibility, neighbourhood facilities, and cycling facilities as well as removing social and legal constraints to cycling, advertising cycling, informing people about the harm arising from the overuse of cars, and increasing street connectivity by adding intersections. According to the findings, these evidence-based recommendations can enhance sustainable mobility for the inhabitants of up to 27 large cities.

Software platform for automated preparation and analytical processing of heterogeneous datasets

2020 ◽  
pp. 15-20 ◽  
Author(s):  
E. D. Avedyan ◽  
I. V. Voronkov
Keyword(s):  
Data Processing ◽  
Analytical Data ◽  
Volume Growth ◽  
Software Platform ◽  
External Data ◽  
Heterogeneous Datasets ◽  
Data Volume ◽  
Processing Resources ◽  
Modular Platform ◽  
Network Technologies

Summary: the article proposes new software platform for automating the processes of preprocessing and marking up datasets with the aim of further solving analytical problems such as image classification and processing textual and parametric information using neural network technologies. The software platform uses modern technologies and combines a large number of methods in the form of a modular platform, which can be supplemented as the tasks of analytical data processing become more complicated. The need to develop such a software platform is dictated primarily by the fact that, given the current level of data volume growth, the actual transition to deep data analytics remains unattainable without such software platforms, since confidentiality, access to information and the use of external data processing resources are required.

scholarly journals A GIS-Based Methodology for Evaluating the Increase in Multimodal Transport between Bicycle and Rail Transport Systems. A Case Study in Palermo

2021 ◽  
Vol 10 (5) ◽  
pp. 321
Author(s):  
Alessandro Emilio Capodici ◽  
Gabriele D’Orso ◽  
Marco Migliore
Keyword(s):  
High School ◽  
Public Transport ◽  
Choice Model ◽  
Rail Transport ◽  
Transport Systems ◽  
Sustainable Mobility ◽  
Transit System ◽  
Modal Choice ◽  
Transport Services ◽  
Multimodal Transport

Background: In a world where every municipality is pursuing the goals of more sustainable mobility, bicycles play a fundamental role in getting rid of private cars and travelling by an eco-friendly mode of transport. Additionally, private and shared bikes can be used as a feeder transit system, solving the problem of the first- and last-mile trips. Thanks to GIS (Geographic Information System) software, it is possible to evaluate the effectiveness of such a sustainable means of transport in future users’ modal choice. Methods: Running an accessibility analysis of cycling and rail transport services, the potential mobility demand attracted by these services and the possible multimodality between bicycle and rail transport systems can be assessed. Moreover, thanks to a modal choice model calibrated for high school students, it could be verified if students will be really motivated to adopt this solution for their home-to-school trips. Results: The GIS-based analysis showed that almost half of the active population in the study area might potentially abandon the use of their private car in favour of a bike and its combination with public transport systems; furthermore, the percentage of the students of one high school of Palermo, the Einstein High School, sharply increases from 1.5% up to 10.1%, thanks also to the combination with the rail transport service. Conclusions: The GIS-based methodology shows that multimodal transport can be an effective way to pursue a more sustainable mobility in cities and efficiently connect suburbs with low-frequent public transport services to the main public transport nodes.

An innovative car sharing technological paradigm towards sustainable mobility

2021 ◽  
Vol 288 ◽  
pp. 125626
Author(s):  
Meihui Li ◽  
Ziqiang Zeng ◽  
Yinhai Wang
Keyword(s):  
Sustainable Mobility ◽  
Car Sharing ◽  
Technological Paradigm

scholarly journals Use of the Sustainable Mobility Efficiency Index (SMEI) for Enhancing the Sustainable Urban Mobility in Greek Cities

2021 ◽  
Vol 13 (4) ◽  
pp. 1709
Author(s):  
Maria Morfoulaki ◽  
Jason Papathanasiou
Keyword(s):  
Multicriteria Analysis ◽  
Efficiency Index ◽  
Urban Mobility ◽  
Specific Procedure ◽  
Sustainable Mobility ◽  
European Cities ◽  
Step Procedure ◽  
Directorate General ◽  
Alternative Measures ◽  
Sustainable Urban Mobility

Since 2013, the European cities have been encouraged to develop local Sustainable Urban Mobility Plans (SUMPs) according to the specific procedure that was launched by the Directorate-General for Mobility and Transport (DG Move) and updated in 2019. One of the most critical steps in this 12-step procedure is the assessment—with specific criteria—of all the alternative measures and infrastructure, which will be optimally combined, in order to better satisfy the problems and the achieve the vision of each area. The aim of the current work is to present the development and implementation of a methodological framework based on the use of multicriteria analysis. The framework targets the capturing of opinions of the relevant local experts in order to evaluate alternative sustainable mobility measures, and also prioritize them using the Sustainable Mobility Efficiency Index (SMEI).

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