The Experts below are selected from a list of 85479 Experts worldwide ranked by ideXlab platform
Glenn Lyons - One of the best experts on this subject based on the ideXlab platform.
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Getting smart about Urban Mobility – Aligning the paradigms of smart and sustainable
Transportation Research Part A-policy and Practice, 2016Co-Authors: Glenn LyonsAbstract:The digital age continues its advance, bringing with it remarkable technological possibilities. Such possibilities are founded upon an increasingly fine-grained electronic connectivity of people, places and objects allied to powerful data gathering and processing capabilities. Urban Mobility of the future could be transformed, with developments such as: new forms of propulsion; new forms of vehicle control; changing business models of ownership and use; mobile technologies that equip and empower individuals; and opportunities to undertake activities without the need to travel. ‘Smart’ is the order of the day. Smart Urban Mobility conjures up a sense of new opportunity; of progress. However, what is really meant by smart? This paper examines this question, revealing a lack of consensus in terms of smart cities and a paucity of literature seeking to make sense of smart Urban Mobility. The paper considers how smart relates to sustainable, raising concerns about potentially dichotomous constituencies of commentators and discourses. Critical commentary associated with smart includes caution that large corporations are exerting significant influence in the era of smart in pursuit of goals that may not strongly align with those of Urban planners concerned with social and environmental sustainability as well as economic prosperity. The paper puts forward and explores the following definition of smart Urban Mobility: “connectivity in towns and cities that is affordable, effective, attractive and sustainable”. This is intended to help draw the paradigms of smart and sustainable closer together towards a common framework for Urban Mobility development.
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Getting smart about Urban Mobility - Aligning the paradigms of smart and sustainable
Transportation Research Part A: Policy and Practice, 2016Co-Authors: Glenn LyonsAbstract:The digital age continues its advance, bringing with it remarkable technological possibilities. Such possibilities are founded upon an increasingly fine-grained electronic connectivity of people, places and objects allied to powerful data gathering and processing capabilities. Urban Mobility of the future could be transformed, with developments such as: new forms of propulsion; new forms of vehicle control; changing business models of ownership and use; mobile technologies that equip and empower individuals; and opportunities to undertake activities without the need to travel. 'Smart' is the order of the day. Smart Urban Mobility conjures up a sense of new opportunity; of progress. However, what is really meant by smart? This paper examines this question, revealing a lack of consensus in terms of smart cities and a paucity of literature seeking to make sense of smart Urban Mobility. The paper considers how smart relates to sustainable, raising concerns about potentially dichotomous constituencies of commentators and discourses. Critical commentary associated with smart includes caution that large corporations are exerting significant influence in the era of smart in pursuit of goals that may not strongly align with those of Urban planners concerned with social and environmental sustainability as well as economic prosperity. The paper puts forward and explores the following definition of smart Urban Mobility: . connectivity in towns and cities that is affordable, effective, attractive and sustainable. This is intended to help draw the paradigms of smart and sustainable closer together towards a common framework for Urban Mobility development.
Ha Yoon Song - One of the best experts on this subject based on the ideXlab platform.
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Modeling Urban Mobility with machine learning analysis of public taxi transportation data
International Journal of Pervasive Computing and Communications, 2018Co-Authors: Ha Yoon Song, Dabin YouAbstract:The purpose of this paper is to understand Urban Mobility model.,The authors have used deep learning as tools of analysis and taxi transportation data as sources of Mobility.,The authors have found Urban Mobility model of weekdays and weekends for a metropolitan city.,There could be many sources of transportation data but the authors have used public taxi data solely.,With the Urban Mobility model proposed in this paper, other researchers and industries can improve their own service based on Urban Mobility model.,The result would be a good model for Urban traffic control or traffic modeling.,This works is an improvement of the paper published in The 15th International Conference on Advances in Mobile Computing & Multimedia (MoMM2017) by recommendation of conference editor, Ismail Khalil, IJPCC editor-in-chief.
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MoMM - Urban Mobility Model Generation with Public Taxi Transportation Data
Proceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia - MoMM2017, 2017Co-Authors: Dabin You, Ha Yoon SongAbstract:Thanks to the recent innovation of IoT technology, Mobility data and related data can be acquired with various devices under various environments. As a consequence, there arise many research regarding individual or group Mobility trends. However, due to the nature of privacy latent in Mobility data, it is somewhat difficult to collect or use Mobility data for research purpose. Taxi transportation data provided by Cities can be one of the solutions to cope with Mobility raw data problem. In this paper, we propose a method to establish Urban Mobility model based on taxi transportation data with clustering technology. The result of Urban Mobility model can show the trend of Urban Mobility quantitatively and visually in spatio-temporal domain.
Dabin You - One of the best experts on this subject based on the ideXlab platform.
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Modeling Urban Mobility with machine learning analysis of public taxi transportation data
International Journal of Pervasive Computing and Communications, 2018Co-Authors: Ha Yoon Song, Dabin YouAbstract:The purpose of this paper is to understand Urban Mobility model.,The authors have used deep learning as tools of analysis and taxi transportation data as sources of Mobility.,The authors have found Urban Mobility model of weekdays and weekends for a metropolitan city.,There could be many sources of transportation data but the authors have used public taxi data solely.,With the Urban Mobility model proposed in this paper, other researchers and industries can improve their own service based on Urban Mobility model.,The result would be a good model for Urban traffic control or traffic modeling.,This works is an improvement of the paper published in The 15th International Conference on Advances in Mobile Computing & Multimedia (MoMM2017) by recommendation of conference editor, Ismail Khalil, IJPCC editor-in-chief.
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MoMM - Urban Mobility Model Generation with Public Taxi Transportation Data
Proceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia - MoMM2017, 2017Co-Authors: Dabin You, Ha Yoon SongAbstract:Thanks to the recent innovation of IoT technology, Mobility data and related data can be acquired with various devices under various environments. As a consequence, there arise many research regarding individual or group Mobility trends. However, due to the nature of privacy latent in Mobility data, it is somewhat difficult to collect or use Mobility data for research purpose. Taxi transportation data provided by Cities can be one of the solutions to cope with Mobility raw data problem. In this paper, we propose a method to establish Urban Mobility model based on taxi transportation data with clustering technology. The result of Urban Mobility model can show the trend of Urban Mobility quantitatively and visually in spatio-temporal domain.
Tomas Ruiz - One of the best experts on this subject based on the ideXlab platform.
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Sustainability analysis on Urban Mobility based on Social Media content
Transportation Research Procedia, 2017Co-Authors: Ainhoa Serna, Unai Bernabé, Jon Kepa Gerrikagoitia, Tomas RuizAbstract:Urban transport became an important element in the promotion of strategies towards sustainability, in fact one of the challenges posed by booming Urban populations is the question of Mobility. Traditional travel survey methods used to study Urban Mobility are very expensive, and the data collected are of poor quality. This is mainly explained because of the difficulty of getting a representative sample of the population, and the lack of motivated participants. Therefore, travel surveys are carried out less and less frequently, and the result is that good travel data is not available to develop Mobility and travel behaviour studies. Information and Communication Technologies (ICT) offer the opportunity to improve traditional travel survey methods, decreasing bias in the data, reducing respondent burden, and increasing data quality. On the other hand, nowadays the User Generated Content (UGC) is growing very fast in Internet. Social media have become a valuable source for knowledge but there is a big gap in the automatic Sentiment Analysis with Semantic taxonomy annotation of online textual content. The aim of this research is to identify sustainability issues related to Urban Mobility based in the perceptions and experiences that underlie in the UGC. The methodology follows a quantitative and qualitative content analysis using Sentiment Analysis techniques. This paper demonstrates empirically the feasibility of the automatic identification of the Sustainable Urban Mobility problems in the discourses generated by the UGC, through a powerful ad-hoc software combining Natural Language Processing and Sentiment Analysis field tools. The main contribution of this work is the development of a tool and methodology on sustainability analysis on Urban environment. Our approach enriches the data of the traditional surveys, extends traditional analysis with Big-Data methods, using data mining algorithms and Natural Language Processing techniques to extract Urban Mobility information from Social Media data. These data include important information about activities and travels, and can help to improve our understanding of Urban Mobility.
Fatih Canıtez - One of the best experts on this subject based on the ideXlab platform.
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Sustainable Urban Mobility in Istanbul: Challenges and prospects
Case studies on transport policy, 2020Co-Authors: Fatih Canıtez, Pelin Alpkokin, Sabahat Topuz KiremitciAbstract:Abstract Rapid Urban growth and rising Mobility demand in megacities having a population of more than 10 million people in emerging economies call for a consistent and comprehensive Urban Mobility policy framework. Implementing sustainable Urban Mobility policies in these cities is complicated by fragmented governance structures, conflicting policy priorities and lack of effective financing mechanisms. The city of Istanbul, with a population of nearly 15 million people, has been grappling with rapidly increasing Urban Mobility problems such as chronic traffic congestion, increasing motorization, overcrowded public transport services, air and noise pollution. Although major infrastructure investments such as new metro and tram lines, a bus rapid transit (BRT) line and capacity increases in public bus network have been undertaken in recent years, the objective of achieving a modal shift from car use to more sustainable transport modes such as public transport, cycling and walking is far from being realized. The focus on megaprojects such as Marmaray, Eurasia Tunnel and Third Bridge further complicate the Urban Mobility landscape by bringing about conflicting policy priorities. In this paper, a comprehensive review and analysis of Istanbul’s Urban transport policies and strategies are scrutinized under the framework of sustainable Urban Mobility paradigm to better understand the Mobility predicament which have long stifled the quality of life of Istanbulites. The challenges are identified, recommendations are proposed, and prospects are put forward as to how to achieve sustainable Urban Mobility in Istanbul.
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Transferring sustainable Urban Mobility policies: An institutional perspective
Transport Policy, 2020Co-Authors: Fatih CanıtezAbstract:Abstract This study develops an institutional framework for the transfer of the sustainable Urban Mobility policies from developed to developing institutional settings. Drawing on new institutional economics approach, the study investigates the institutional structure of the Urban Mobility field with a view to propose a policy transfer framework. The framework is then used in transferring sustainable Urban Mobility policies from London to Istanbul. On its way to establish a more sustainable Urban Mobility system, the city of Istanbul, which is the economic capital of Turkey, grapples with many Urban Mobility problems such as rapid motorization, chronic traffic congestion, air and noise pollution and a fragmented governance structure. London's recent Mayor's Transport Strategy published in March, 2018 which sets out a comprehensive set of policies aiming towards a more sustainable Urban Mobility is used as a benchmark document for transferring policies to Istanbul. The policy transfer study, commissioned by the local transport authority of Istanbul, is undertaken by a team of experts, consultants and academics which include the author of this study as well. The transfer process is carried out by translating policies into the institutional structure of the policy borrowing city, namely Istanbul. The fragmentation in the policy and governance levels in Istanbul, acting as a major barrier for direct transfer, is addressed by the proposed institutional policy transfer framework. Overall, the study aims to open up new avenues for an institutionally-informed transport policy research. More specifically, the study provides novel conceptual tools for the analysis of the policy transfer studies involving disparate institutional settings.
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Pathways to sustainable Urban Mobility in developing megacities: A socio-technical transition perspective
Technological Forecasting and Social Change, 2019Co-Authors: Fatih CanıtezAbstract:Abstract Sustainable Urban Mobility paradigm has recently gained prominence in both developed and developing cities, yet the transition process raises important concerns and issues. Socio-technical transition perspective provides a useful way to interpret the social and technical dynamics and complexities involved in sustainability transitions. However, the context of developing megacities presents significant differences with that of the developed cities in terms of institutional settings, governance structures, and Urban Mobility challenges. This paper proposes a socio-technical transition perspective to examine and analyze the Urban Mobility systems in developing megacities. In addition, a multi-level perspective is offered to understand the dynamics of sustainable Urban Mobility transitions. The case study of Istanbul, a developing megacity having a population of nearly 15 million people with many Urban Mobility problems such as chronic traffic congestion, overcrowded public buses, traffic accidents and injuries, air and noise pollution, helps substantiate the proposed socio-technical perspective. The theoretical insights and empirical findings strongly suggest the potential usefulness of this perspective for other megacities grappling with similar problems.
