scholarly journals Towards blockchain-IoT based shared mobility: Car-sharing and leasing as a case study

Author(s):  
Sophia Auer ◽  
Sophia Nagler ◽  
Somnath Mazumdar ◽  
Raghava Rao Mukkamala
Keyword(s):  
2019 ◽  
Vol 81 ◽  
pp. 165-173
Author(s):  
Katarzyna Turoń

Different types of transport solutions that are to influence the sustainability of urban logistics are increasingly used around the world. The same applies to the opportunities offered by the implementation of shared mobility services. According to this idea, car-sharing systems are currently present on six continents of the world and it is anticipated that by 2025 there will be over 36 million users worldwide sharing car-sharing services. In line with this trend, it is worth paying attention to aspects that will encourage the public to use car-sharing services. Because the price is one of the main factors for the society during making a decision about using car-sharing services, the author decided to analyze the costs of car-sharing mobility. In the text basic assumptions about car-sharing services and their development were presented. Then, the article showed the analysis of the cost of using services on six continents in the line of temporary and parking fees. In addition, the work also refers to the impact of the type of vehicle fleet on the price level. The aim of the work was to assess the occurrence of differences between the services offered and the relation between costs and the assumptions of sustainable transport development.


2021 ◽  
Vol 13 (4) ◽  
pp. 2418
Author(s):  
Ana María Arbeláez Vélez ◽  
Andrius Plepys

Shared mobility options, such as car sharing, are often claimed to be more sustainable, although evidence at an individual or city level may contradict these claims. This study aims to improve understanding of the effects of car sharing on transport-related emissions at an individual and city level. This is done by quantifying the greenhouse gas (GHG) emissions of the travel habits of individuals before and after engaging with car sharing. The analysis uses a well-to-wheel (WTW) approach, including both business-to-consumer (B2C) and peer-to-peer (P2P) car-sharing fleets. Changes in GHG emissions after engaging in car sharing vary among individuals. Transport-related GHG emissions caused by car-free individuals tend to increase after they engage in car sharing, while emissions caused by previous car owners tend to fall. At the city level, GHG emissions savings can be achieved by using more efficient cars in sharing systems and by implementing greener mobility policies. Changes in travel habits might help to reduce GHG emissions, providing individuals migrate to low-carbon transport modes. The findings can be used to support the development and implementation of transport policies that deter car ownership and support shared mobility solutions that are integrated in city transport systems.


2019 ◽  
pp. 1-18 ◽  
Author(s):  
Susan Shaheen ◽  
Elliot Martin ◽  
Mikaela Hoffman-Stapleton

2020 ◽  
Vol 12 (3) ◽  
pp. 9
Author(s):  
Kinga Szabó ◽  
Gauri Shankar Gupta

Rapid growth of sharing economy in the last two decades is the outcome of a paradigm shift in global capitalism and societal values. Based on digital identity and the Trust and Reputation Index, IT platforms have brought together strangers who under new social construct, share under-utilized capacities and assets with those who need them. Radius of trust which was initially confined to family and friends; now encompasses strangers who speak no common language and who live oceans apart. Hungary is no exception to this global shift. Sharing economy in Hungary has registered healthy growth specially in the areas of transportation and accommodation. Oszkár, a long-distance car-sharing company presents a good example of this paradigm shift in societal values and sharing with strangers. This platform has recorded impressive growth of over 67% between 2015-2018 with very positive customer reviews. Moreover, this represents an environmentally-friendly sustainable practice which successfully reduces carbon foot-print and traffic congestion.


2019 ◽  
Vol 11 (18) ◽  
pp. 5103 ◽  
Author(s):  
Yoon-Young Chun ◽  
Mitsutaka Matsumoto ◽  
Kiyotaka Tahara ◽  
Kenichiro Chinen ◽  
Hideki Endo

This paper provides some insight into factors influencing the car sharing adoption and usage in Southeast-Asian developing countries like Indonesia, where car sharing is just emerging and so far, not effectively existent. This study uses an internet survey of 600 Indonesian respondents to examine how underlying factors, such as perceived benefits of car sharing related to convenience and cost-saving aspects, perceived risks and burdens of car ownership, and perceived values of car ownership as societal status can influence their intention to use car sharing. The results of the ordered logit models reveal that car sharing use intention is influenced by perceived benefits of car sharing and perceived values of car ownership as societal status. Among demographic attributes, income level has a positive effect on car sharing use intention. The implications and proper interpretations in the interplay among them can provide a useful guide to city transportation planners and business owners who attempt to promote car sharing schemes in the Southeast-Asian market like Indonesia.


2020 ◽  
Vol 145 ◽  
pp. 02017
Author(s):  
Wei Wang ◽  
Shun Su ◽  
Mengying Fu ◽  
Yonsorena Nong ◽  
Thomas Scriba ◽  
...  

This paper proposed an innovative strategy for planning multimodal, integrated, intelligent, and sustainable mobility by applying 3-tiers mobility stations system combine with car sharing and bike sharing, which aims to promoting the accessibility with available transportation systems and enhance the intramodality and utilization of non-motorized transportation modes. Through the case study of the Fürstenfeldbruck city region in Germany, the 3-tiers mobility stations system concept and its planning criteria and indicators were proposed. And mobility service offerings and location selection of stations were analyzed by considering demand and coverage. Subsequently, evaluation methods based on the pre-defined indicators were implemented to the case study. The planning process is target-oriented and based on relevant structural data analysis.


2022 ◽  
Vol 60 ◽  
pp. 456-463
Author(s):  
Fabio Borghetti ◽  
Simona Briancesco ◽  
Michela Longo ◽  
Roberto Maja ◽  
Dario Zaninelli
Keyword(s):  

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