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Mr. Luke Butler
Queensland University of Technology, Brisbane, Australia

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Research Keywords & Expertise

0 Artificial Intelligence
0 Smart Cities
0 Urban Planning
0 Smart Mobility Solutions
0 Mobility-as-a-Service

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Review
Published: 24 November 2020 in Cities
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There is a growing demand, across the globe, for smart mobility solutions to reduce negative social, environmental and economic externalities of private automobile travel. Mobility-as-a-Service (MaaS) is an integrated system that through a single online interface enables commuters to plan, book, and pay for trips which utilise a range of mobility providers. MaaS has a unique characteristic to provide a system into which new service options can be integrated with traditional transportation modes. This makes MaaS a potential alternative to private vehicle ownership, and a means to overcome some of the negative externalities associated with automobile dependency. To realise this potential, many cities have implemented—or are in the process of implementing—MaaS trials to better understand how this service will function within cities. This paper utilises a systematic literature review to extract insights, and develops a conceptual framework to identify barriers and risks related to MaaS adoption in cities. The study findings reveal that: (a) the desired MaaS outcomes are associated with reduced vehicle kilometres travelled, increased trip awareness, reduced parking, reduced vehicle ownership, and improved social equity; (b) MaaS supply side barriers include public private cooperation, business support, service coverage, shared vision, and data and cyber security; (c) MaaS demand side barriers are its lack of appeal to older generations, public transport users, and private vehicle users, the attractiveness of the digital platform, and user willingness-to-pay.

ACS Style

Luke Butler; Tan Yigitcanlar; Alexander Paz. Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature. Cities 2020, 109, 103036 .

AMA Style

Luke Butler, Tan Yigitcanlar, Alexander Paz. Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature. Cities. 2020; 109 ():103036.

Chicago/Turabian Style

Luke Butler; Tan Yigitcanlar; Alexander Paz. 2020. "Barriers and risks of Mobility-as-a-Service (MaaS) adoption in cities: A systematic review of the literature." Cities 109, no. : 103036.

Journal article
Published: 29 October 2020 in IEEE Access
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Recent smart urban mobility innovations such as intelligent transportation systems, electric vehicles, autonomous vehicles, demand-responsive transportation, shared transportation, and mobility-as-a-service are consistently identified as the panacea to many of the economic, social and environmental effects associated with private vehicles—including road congestion, urban sprawl, social exclusion, increased costs, crashes, emissions, and environmental degradation. One of the strategies of many smart urban mobility policies is to view the transportation system from a holistic perspective to seek reduction of negative effects and an improve performance. Nonetheless, given the rapid technological advances in the transportation sector, there is a need to identify and evaluate primary smart mobility innovations from a sustainability perspective. This article presents a thorough technology review and evaluation of the main smart mobility innovations identified in the literature. The study has identified and categorized six main smart mobility innovations most commonly discussed within the literature including: (a) intelligent transport systems; (b) alternative fuel systems; (c) driving automation systems; (d) shared mobility services; (e) demand responsive transport; and (f) integrated mobility systems. Furthermore, this article includes a brief description of their characteristics, applications, and also evaluates their sustainability according to their proposed impacts on transport safety, road congestion, energy consumption, the environment, and accessibility.

ACS Style

Luke Butler; Tan Yigitcanlar; Alexander Paz. Smart Urban Mobility Innovations: A Comprehensive Review and Evaluation (Oct 2020). IEEE Access 2020, 8, 1 -1.

AMA Style

Luke Butler, Tan Yigitcanlar, Alexander Paz. Smart Urban Mobility Innovations: A Comprehensive Review and Evaluation (Oct 2020). IEEE Access. 2020; 8 ():1-1.

Chicago/Turabian Style

Luke Butler; Tan Yigitcanlar; Alexander Paz. 2020. "Smart Urban Mobility Innovations: A Comprehensive Review and Evaluation (Oct 2020)." IEEE Access 8, no. : 1-1.

Review
Published: 10 September 2020 in Applied Sciences
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Transportation disadvantage is about the difficulty accessing mobility services required to complete activities associated with employment, shopping, business, essential needs, and recreation. Technological innovations in the field of smart mobility have been identified as a potential solution to help individuals overcome issues associated with transportation disadvantage. This paper aims to provide a consolidated understanding on how smart mobility innovations can contribute to alleviate transportation disadvantage. A systematic literature review is completed, and a conceptual framework is developed to provide the required information to address transportation disadvantage. The results are categorized under the physical, economic, spatial, temporal, psychological, information, and institutional dimensions of transportation disadvantage. The study findings reveal that: (a) Primary smart mobility innovations identified in the literature are demand responsive transportation, shared transportation, intelligent transportation systems, electric mobility, autonomous vehicles, and Mobility-as-a-Services. (b) Smart mobility innovations could benefit urban areas by improving accessibility, efficiency, coverage, flexibility, safety, and the overall integration of the transportation system. (c) Smart mobility innovations have the potential to contribute to the alleviation of transportation disadvantage. (d) Mobility-as-a-Service has high potential to alleviate transportation disadvantage primarily due to its ability to integrate a wide-range of services.

ACS Style

Luke Butler; Tan Yigitcanlar; Alexander Paz. How Can Smart Mobility Innovations Alleviate Transportation Disadvantage? Assembling a Conceptual Framework through a Systematic Review. Applied Sciences 2020, 10, 6306 .

AMA Style

Luke Butler, Tan Yigitcanlar, Alexander Paz. How Can Smart Mobility Innovations Alleviate Transportation Disadvantage? Assembling a Conceptual Framework through a Systematic Review. Applied Sciences. 2020; 10 (18):6306.

Chicago/Turabian Style

Luke Butler; Tan Yigitcanlar; Alexander Paz. 2020. "How Can Smart Mobility Innovations Alleviate Transportation Disadvantage? Assembling a Conceptual Framework through a Systematic Review." Applied Sciences 10, no. 18: 6306.

Viewpoint
Published: 25 May 2020 in Sensors
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In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented pace. With highly sophisticated capabilities, AI has the potential to dramatically change our cities and societies. Despite its growing importance, the urban and social implications of AI are still an understudied area. In order to contribute to the ongoing efforts to address this research gap, this paper introduces the notion of an artificially intelligent city as the potential successor of the popular smart city brand—where the smartness of a city has come to be strongly associated with the use of viable technological solutions, including AI. The study explores whether building artificially intelligent cities can safeguard humanity from natural disasters, pandemics, and other catastrophes. All of the statements in this viewpoint are based on a thorough review of the current status of AI literature, research, developments, trends, and applications. This paper generates insights and identifies prospective research questions by charting the evolution of AI and the potential impacts of the systematic adoption of AI in cities and societies. The generated insights inform urban policymakers, managers, and planners on how to ensure the correct uptake of AI in our cities, and the identified critical questions offer scholars directions for prospective research and development.

ACS Style

Tan Yigitcanlar; Luke Butler; Emily Windle; Kevin C. DeSouza; Rashid Mehmood; Juan M. Corchado. Can Building “Artificially Intelligent Cities” Safeguard Humanity from Natural Disasters, Pandemics, and Other Catastrophes? An Urban Scholar’s Perspective. Sensors 2020, 20, 2988 .

AMA Style

Tan Yigitcanlar, Luke Butler, Emily Windle, Kevin C. DeSouza, Rashid Mehmood, Juan M. Corchado. Can Building “Artificially Intelligent Cities” Safeguard Humanity from Natural Disasters, Pandemics, and Other Catastrophes? An Urban Scholar’s Perspective. Sensors. 2020; 20 (10):2988.

Chicago/Turabian Style

Tan Yigitcanlar; Luke Butler; Emily Windle; Kevin C. DeSouza; Rashid Mehmood; Juan M. Corchado. 2020. "Can Building “Artificially Intelligent Cities” Safeguard Humanity from Natural Disasters, Pandemics, and Other Catastrophes? An Urban Scholar’s Perspective." Sensors 20, no. 10: 2988.

Review
Published: 20 March 2020 in Energies
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Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban locations that are enabled by community, technology, and policy to deliver productivity, innovation, livability, wellbeing, sustainability, accessibility, good governance, and good planning—has increased the demand for AI-enabled innovations. There is, nevertheless, no scholarly work that provides a comprehensive review on the topic. This paper generates insights into how AI can contribute to the development of smarter cities. A systematic review of the literature is selected as the methodologic approach. Results are categorized under the main smart city development dimensions, i.e., economy, society, environment, and governance. The findings of the systematic review containing 93 articles disclose that: (a) AI in the context of smart cities is an emerging field of research and practice. (b) The central focus of the literature is on AI technologies, algorithms, and their current and prospective applications. (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and urban management areas. (d) There is limited scholarly research investigating the risks of wider AI utilization. (e) Upcoming disruptions of AI in cities and societies have not been adequately examined. Current and potential contributions of AI to the development of smarter cities are outlined in this paper to inform scholars of prospective areas for further research.

ACS Style

Tan Yigitcanlar; Kevin C. DeSouza; Luke Butler; Farnoosh Roozkhosh. Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature. Energies 2020, 13, 1473 .

AMA Style

Tan Yigitcanlar, Kevin C. DeSouza, Luke Butler, Farnoosh Roozkhosh. Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature. Energies. 2020; 13 (6):1473.

Chicago/Turabian Style

Tan Yigitcanlar; Kevin C. DeSouza; Luke Butler; Farnoosh Roozkhosh. 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature." Energies 13, no. 6: 1473.