Q2. What are the future works in this paper?
Finally, the authors offered a research agenda which points out the urgent need to develop a science of smart cities, in which criticalities and tensions ( Almirall et al., 2016 ), contrasting views ( Greenfield, 2013 ), strategic planning and wise urban policies ( Sennett, 2018 ), through a balanced adoption of qualitative and quantitative approaches, coexist and further stimulate a constructive and critical debate. Thus, the authors hope this special issue will inspire future work on the nature and challenges of current and future smart cities initiatives.
Q3. What can consumers do to become net-positive energy providers?
Thanks to connected solar panels, connected meters, virtual power plants and microgrids, consumers can become net-positive energy providers to the grid (“prosumers”).
Q4. What is the main reason why VSNs are emerging as a short-term smart mobility?
Long before self-driving cars become the norm, Vehicular Social Networks (VSNs) are emerging as one of the main short-term smart mobility trends (Ning et al., 2017).
Q5. How many authors have contributed to this special issue?
A total number of twenty-nine among scholars and practitioners wrote for this special issue, with an average of 3.4 authors per paper; 60% of the contributions have been co-authored by no more than three co-authors, whereas 7% by a single author, and 14% by six authors.
Q6. How many papers were accepted for inclusion to the special issue?
Following an extensive blind peer-review process a total of thirtyone papers were accepted for inclusion to the special issue, on the basis of established selection criteria: novelty and originality of the discussed topics, methods, and/or approaches; overall consistency with the aims of the call for papers; relevance both for the academic and practitioner debates.
Q7. What are the main characteristics of a smart city?
Smart cities often create technology hubs to facilitate the sharing of knowledge in the forms of research centers, start-up incubators, and accelerators, as well as innovation parks.
Q8. What are the main reasons for the decrease in car lanes in cities like Paris and Nice?
Cities like Paris and Nice are decreasing the number of car lanes in key transit corridors to make way for pedestrians and bicycles.
Q9. What are the dimensions of smart cities?
The city of London, for instance, has based its smart city initiative on four dimensions: a) technology innovation; b) open data and transparency; c) collaboration and engagement; d) efficiency and resource management (Angelidou, 2015).
Q10. What is the effect of the propensity score matching estimates?
Results from the propensity score matching estimates show that smart city policies do have a non-negligible positive impact on urban innovation measured through patenting activity, especially in high-tech classes.
Q11. What is the heuristic proposed by Grimaldi et al.?
The heuristic proposed by Grimaldi et al. (2018) deals with the desertification of urban areas due to the massive close of local shops in contexts hit by the financial crisis.
Q12. What are the main components of the smart city business model canvas?
They identify the revenue stream, cost structure, key resources, key activities, key partners, the value creation, customer relationships, market segments, and channels identifying the basic building blocks of the smart city business model canvas.
Q13. What are the main business models for smart cities?
Philips is searching for new ways to create and capture value within different smart city ecosystems; four of them – Amsterdam, Eindhoven, Stratumseind, and Veghel – are instrumental to unveil the main business models: marbles business model, in which there is no integration of value creation or value capture activities between the different parties, and everything is developed inhouse and sold as a one-off sale; Tetris business model, where value is created individually, while an extended set of revenue models are introduced that build on each other and can be shared across the ecosystem; Jenga business model, characterized by an extended value creation, where different ecosystem actors learn from each other, though with limited revenue potential for the individual parties; finally, the Jigsaw Puzzle business model, in which the authors have an extended value creation and value capture, by leveraging synergies within an ecosystem to jointly create the most value for customers and the ecosystem.
Q14. What is the aim of the CSA-VIKOR method?
The aim of the CSA-VIKOR method is to provide the drivers with the optimal paths according to multiple criteria in order to meet the diverse navigation requirements of the drivers.
Q15. According to Shapiro (2006), how does the population of a metropolitan area affect employment?
according to Shapiro (2006), growth in a metropolitan area's concentration of college-educated residents is directly correlated with employment growth.
Q16. What are the main development paths of the smart city research?
They show that research on smart cities is diverging into five development paths: experimental, ubiquitous, corporate, European, and holistic.
Q17. What is the definition of smart city?
According to Lehr (2018), a city cannot be called ‘smart’ unless it has solved the complex issues associated with privacy in a world of ubiquitous data, social interactions, and artificial intelligence.
Q18. What is the role of the PPP in the creation of an innovation ecosystem?
As seen in the cases of Sophia Antipolis (France) and the Research Triangle Park (USA) briefly described above, the collaboration among knowledge workers (Smart People) to create an innovation ecosystem (Smart Economy) requires a great deal of local articulation among stakeholders (Smart Governance), often led by government agents or Public-Private Partnerships (PPPs).
Q19. What are the dimensions of smart city development?
These dimensions echo Lee and co-authors' (2014) six enablers of smart city development: urban openness, service innovation, partnership formation, urban proactiveness, infrastructure integration, and smart city governance.
Q20. What are the main dichotomies that emerge in the research on smart cities?
four main dichotomies emerge which are mainly rooted into the cognitive-epistemological structure of the smart city research and challenge the scientific community: techno-led or holistic, top-down or bottom-up, double or triple/quadruple helix, mono-dimensional or integrated.