A Unified Smart Mobility System Integrating Terrestrial, Aerial and Marine Intelligent Vehicles

2020 ◽  
pp. 203-214
Author(s):  
Chahrazed Ksouri ◽  
Imen Jemili ◽  
Mohamed Mosbah ◽  
Abdelfettah Belghith
Keyword(s):  
Intelligent Vehicles ◽  
Mobility System ◽  
Smart Mobility

scholarly journals “Unparking”: How can Smart Mobility Reduce Parking Demand in Our Cities to the Minimum? (Beirut Case Study)

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 172-185
Author(s):  
Adib Haydar
Keyword(s):  
Public Transportation ◽  
Transportation Systems ◽  
Decision Makers ◽  
Demand And Supply ◽  
Mobility System ◽  
Smart Mobility ◽  
Public Transportation Systems ◽  
Parking Demand ◽  
The City

Beirut is a car-dependent city, with 80% of Beirut citizens using their private cars to move across the city (the rate of car ownership is higher than regional and global benchmarks: 627 cars/1000 in Beirut, 550/1000 in Dubai and 170/1000 in Singapore). This reality causes two related impacts: an increased parking demand and decreased public transportation usage. Furthermore, in order to discuss these aspects, our study addresses the following question: How can the municipality’s interventions and mobility system reforms, such as smart public transportation systems and shareable mobility, reduce parking demand? As our methodology, it consists of three sections: (1) determine Beirut's parking problems by estimating parking demand and supply; (2) assess the potential effects of Beirut municipality policies in comparison to international experiences; and (3) evaluate the potential impacts of the smart public transportation system and shareable mobility in reducing parking demand. This paper studies parking growth in developing countries, such as Lebanon, and can help planners, decision-makers, and the Beirut municipality to make more informed decisions about parking policies, and to meet growing parking demand by introducing smart interventions that have high local potentials.

scholarly journals Implementation Strategy of Bringing Smart Mobility into Reality

2021 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Kristina Setyowati ◽  
Herwan Parwiyanto ◽  
Retno Suryawati
Keyword(s):  
Data Analysis ◽  
Development Strategy ◽  
Public Transportation ◽  
Implementation Strategy ◽  
Diversification Strategy ◽  
Traffic Jam ◽  
Transportation Modes ◽  
Mobility System ◽  
Smart Mobility ◽  
Data Documentation

<p>High urban vehicle growth rate results in high traffic jam rate and makes the portrait of urban transportation dull. It is a challenge and an opportunity all at once to provide smart mobility system. Smart mobility is a mobility system enabling the arrival at destination through less mobility, move freely, and less travel time. This study aims to find out the implementation strategy in bringing Smart Mobility into Reality. The strategies used were firstly, diversification strategy, the synchronization and cooperation with Central and Provincial governments. Secondly, it is aggressive strategy involving the strategy of applying E-Gov through IT Development, strategy of reinforcing the integration between Transportation modes and strategy of developing Office Strategy Plan referring to Master plan of Smart City. The method employed was qualitative one. Techniques of collecting data used were FGD and data documentation, while data analysis was carried out using A Procedure for Data Analysis. The result of research showed that there is a diversification strategy including providing smart public transportation (BST and feeder) and agglomeration transportation (TransJateng). Meanwhile, aggressive strategy includes 1) the strategy of intensifying the application of e-Gov through and developing IT of public transportation in “buy the service” scheme using TEMAN bus application, 2) strategy of reinforcing integration between Transportation modes in the form of improving accessibility of public transportation (BST) with feeder and agglomeration transportation (TransJateng), and 3) improving smart mobility by improving service quality and accessibility of public transportation.</p>

STREAM – Ein Smart-Mobility-System zur langfristigen Einbindung von Pendlern

2020 ◽  
pp. 545-558
Author(s):  
Katharina Ebner ◽  
Christian Anschütz ◽  
Stefan Smolnik
Keyword(s):  
Mobility System ◽  
Smart Mobility

Leveraging IoT Framework to Enhance Smart Mobility

2020 ◽  
pp. 166-185
Author(s):  
Isabel Sofia Brito ◽  
Luís Murta ◽  
Nuno Loureiro ◽  
Pedro Rodrigo Duarte Pacheco ◽  
Pedro Bento
Keyword(s):  
Focus Group ◽  
Quality Attributes ◽  
Group Method ◽  
Functional Requirements ◽  
Framework Structure ◽  
City Life ◽  
Mobility System ◽  
Smart Mobility ◽  
Focus Group Method

The planning, designing, deploying, and measuring the smart mobility concept is very important since it can impact several aspects of city life such as how and where people live and fulfil their needs and desires. Given the complexity of the problem, this chapter proposes a general IoT framework for smart mobility that could guide the development of a smart mobility system to manage communications, devices, and services, as well as applications to achieve smart mobility goals. This chapter describes the U-Bike system within the IoT framework and smart mobility paradigms, i.e., in terms of IoT framework structure and operationalization, as well as quality attributes (i.e. non-functional requirements). Recently, the U-Bike system began to be used, making it possible to estimate if it fulfils the objectives of the project. This assessment was performed using focus group method and interviews.

scholarly journals Unpacking the Smart Mobility Concept in the Dutch Context Based on a Text Mining Approach

2019 ◽  
Vol 11 (23) ◽  
pp. 6583 ◽  
Author(s):  
Manders ◽  
Klaassen
Keyword(s):  
Text Mining ◽  
Qualitative Content Analysis ◽  
Real Life ◽  
Short Term ◽  
The Status ◽  
Mobility System ◽  
Smart Mobility ◽  
The One ◽  
Sustainability Challenges

Existing mobility solutions are criticized for falling short of effectively addressing transport issues and sustainability challenges. In this light, smart mobility has received increasing attention. In the Netherlands, the smart mobility concept triggered various developments, leading to the uptake of initiatives for real-life experimentation, accompanied by an increase in media attention. While the concept is making its way through Dutch society, its meaning for practice remains unspecified. Therefore, this paper aims to unpack the meaning of the smart mobility concept, by analyzing Dutch news articles and initiatives’ websites using text mining and qualitative content analysis. The analyses reveal some ambiguous meanings for the smart mobility concept, demonstrating on the one hand a focus on incremental technological innovations that bring forward car-based solutions for short-term fixes, while on the other hand promising to address car-related issues and fundamentally change the mobility system by taking long-term challenges into account. In general, smart mobility seems to be about optimizations and maintaining the status quo rather than challenging it, although there are a few deviating and more critical voices. The smart mobility concept mobilizes actors and resources, but considering the ambiguities, these developments should be critically evaluated when proposed as solutions to transport issues and sustainability challenges.

Smart Mobility System for Physically Challenged People

2019 ◽  
pp. 67-76
Author(s):  
S. Sundaramahalingam ◽  
B. V. Manikandan ◽  
K. Banumalar ◽  
S. Arockiaraj
Keyword(s):  
Mobility System ◽  
Smart Mobility ◽  
Physically Challenged
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