A Practice Based Exploration on Electric Mobility as a Service in Smart Cities

AnthonyJr., Bokolo; Petersen, Sobah Abbas

doi:10.1007/978-3-030-44322-1_1

Cited by 12 publications

(6 citation statements)

References 23 publications

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“…The key factors that may influence green urban mobility policies for local communities transiting to sustainable public transportation are discussed in this section in line with the second research question. As green urban mobility introduces the concept of modal split, it can be considered to influence individuals’ travel modes used to accomplish their physical and nonphysical mobility needs (Dura and Weil, 2014; Anthony and Petersen, 2020). In the context of this study, factors are variables or parameters that influence the performance of green urban mobility measures in local communities.…”

Section: Resultsmentioning

confidence: 99%

Developing green urban mobility policies for sustainable public transportation in local communities: a Norwegian perspective

Anthony Jnr.

2023

JPMD

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Purpose The concept of green urban mobility has emerged as one of the best approaches for promoting environmental-friendly transportation in local communities. Green urban mobility aims to reshape public transportation system and enhance mobility, with emphasis on deploying digital technologies to promote sustainable public transportation. Therefore, this study aims to analyze existing public transportation policies by exploring how local communities can facilitate green urban mobility by developing a sociotechnical urban-based mobility model highlighting key factors that impact regions transitioning toward sustainable transportation. Design/methodology/approach This study investigates “the role of data for green urban mobility policies toward sustainable public transportation in local communities” in the form of a systematic literature review and insights from Norway. Secondary data from the literature and qualitative analysis of the national transport plan document was descriptively analyzed to provide inference. Findings Findings from this study provides specific measures and recommendations as actions for achieving a national green mobility practice. More important, findings from this study offers evidence from the Norwegian context to support decision-makers and stakeholders on how sustainable public transportation can be achieved in local communities. In addition, findings present data-driven initiatives being put in place to promote green urban mobility to decrease the footprint from public transportation in local municipalities. Practical implications This study provides green mobility policies as mechanisms to be used to achieve a sustainable public transportation in local communities. Practically, this study advocates for the use of data to support green urban mobility for transport providers, businesses and municipalities administration by analyzing and forecasting mobility demand and supply in terms of route, cost, time, network connection and mode choice. Social implications This study provides factors that would promote public and nonmotorized transportation and also aid toward achieving a national green urban mobility strategy. Socially, findings from this study provides evidence on specific green urban mobility measures to be adopted by stakeholders in local communities. Originality/value This study presents a sociotechnical urban-based mobility model that is positioned between the intersection of “human behavior” and “infrastructural design” grounded on the factors that influence green urban mobility policies for local communities transiting to a sustainable public transportation. Also, this study explores key factors that may influence green urban mobility policies for local communities toward achieving a more sustainable public transportation leading to a more inclusive, equitable and accessible urban environment.

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Section: Resultsmentioning

confidence: 99%

Developing green urban mobility policies for sustainable public transportation in local communities: a Norwegian perspective

Anthony Jnr.

2023

JPMD

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“…This has resulted in system alignment and data integration issues in smart cities. Respectively, system alignment relates to the autonomy and joined coexistence, whereas data integration refers more to the concepts of coordination of multiple data sources (real-time, online and historical data) (Anthony and Petersen, 2019). Similarly, in cities heterogenous systems typically do not integrate, but to integrate data generated to provide digital services to citizens and stakeholders the systems that generates and exchange data need to be aligned (Costin and Eastman, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…e-Mobility decreases air pollution in urban areas, reduces noise and avoids health issues and potentially uses environmentally friendly electricity produced from renewable energy sources to charge the batteries (Anthony and Petersen, 2019). e-Mobility comprises of electric vehicles (EV), which is a vehicle that does not use gasoline as an energy source.…”

Section: Methodsmentioning

confidence: 99%

Digital transformation with enterprise architecture for smarter cities: a qualitative research approach

Anthony

Petersen²,

Helfert

et al. 2021

DPRG

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Purpose Smart city services are supported by information and communication technologies (ICT) referred to as digital technologies which increasingly promise huge opportunities for growth but are faced with system alignment and data integration issues when providing digital services. Therefore, this study aims to use enterprise architecture (EA) in digital transformation of cities by developing an architecture to address system alignment and data integration in digital transformation of cities. Design/methodology/approach Qualitative method is applied to evaluate the presented architecture based on electric-mobility (e-mobility) scenario, and data was collected using case study via interviews from a municipality in Norway to validate the applicability of EA for digital transformation of city services. Findings Findings from the interviews were represented in ArchiMate language to model the digital transformation of e-mobility in smart cities. Findings suggest that the architecture serves as a guide to recommend urban administrators of the potential of EA and digital transformation in addressing system alignment and data integration issues in smart cities. Research limitations/implications Data used in this study is from a single case, hence there is a need to evaluate the application of EA for digital transformation of city services with data collected from multi-cases. Practical implications This study adopts enterprise architecture approach to support city transformation as it has been widely applied by institutions to align business and ICT components. Social implications This study provides implication on how municipalities can use EA and digital transformations towards a sustainable smart city. Originality/value An architecture is presented that can be used as a guide to help urban developers and designers in deploying sustainable transport policies for smart cities. Additionally, EA is used to foster digitalization towards achieving system alignment and data integration in cities to support urban environment as they digitally transform services provided to citizens.

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“…According to the literature, MaaS is presently operated in several municipalities mostly in Northern Europe, Australia, and North America [18], where it is possible for residents to live without a personal car due to the available MaaS, such as public transport service. In recent years, shared electric mobility-as-a-service (eMaaS) solutions like e-scooters, ecar-sharing, and e-bike sharing have gained momentum in major Nordic countries like Denmark, Norway, Germany, Finland, and Sweden, shifting the norm as regards car ownership, access, and the future for MaaS to eMaaS [5,20]. This green shift from MaaS to eMaaS across cities is aimed at promoting the acceleration of the electrification of the transportation system, as presently, electrifying road transport makes up approximately 13 percent of energy use in Europe [21].…”

Section: Transition Of Mobility-as-a-service To Electric Mobility-as-...mentioning

confidence: 99%

“…Figure 4 demonstrates the use case modeling of eMobility-sharing services in Archi-Mate, which comprises the physical infrastructure, technologies, data space, application and data processing, business, services, and context layers. The details of each layer have been discussed in prior studies [7,20,27,29], where the layers have already been discussed in detail. The physical infrastructure layer comprises the eMobility assets, charging facilities, and public transportation systems available in the city to be used by citizens to meet their mobility needs.…”

Section: Findings From Qualitative Datamentioning

confidence: 99%

Examining the Adoption of Sustainable eMobility-Sharing in Smart Communities: Diffusion of Innovation Theory Perspective

Bokolo

2023

Smart Cities

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The transport sector is undergoing disruption due to trends such as tightening environmental targets, digitalization, and servitization, contributing to low-carbon mobility and offering citizen-oriented services. As a response, various initiatives, such as electric mobility (eMobility), have emerged that promote sustainable road transport and active mobility in the last few years. However, irrespective of the potential of eMobility, there are still few studies that examine individuals’ intention and adoption of eMobility-sharing services in smart communities. Accordingly, this study aims to develop a model grounded on the Diffusion of Innovation (DoI) theory to investigate the factors that impact individuals’ adoption of eMobility-sharing service and how to improve the adoption of eMobility-sharing service. A mixed-mode methodology was employed; quantitative data from survey questionnaires were used to gather data, and Statistical Package for Social Science (SPSS) was used to analyze the data. Additionally, qualitative data via interview was collected to demonstrate in ArchiMate modeling language how eMobility-sharing services are practically implemented as a use case study within smart communities. Findings from this study offer a model that focuses on eMobility-sharing adoption from the perspective of smart communities. Additionally, the findings offer a better understanding of how such integrated, multimodal systems fit with the sustainable mobility needs of citizens. More importantly, general recommendations to policymakers and practitioners to increase the uptake of shared eMobility are provided.

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A Practice Based Exploration on Electric Mobility as a Service in Smart Cities

Cited by 12 publications

References 23 publications

Developing green urban mobility policies for sustainable public transportation in local communities: a Norwegian perspective

Developing green urban mobility policies for sustainable public transportation in local communities: a Norwegian perspective

Digital transformation with enterprise architecture for smarter cities: a qualitative research approach

Examining the Adoption of Sustainable eMobility-Sharing in Smart Communities: Diffusion of Innovation Theory Perspective

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