Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco

Lee, Jung Hoon; Hancock, Marguerite Gong; Hu, Mei

doi:10.1016/j.techfore.2013.08.033

Cited by 659 publications

(362 citation statements)

References 22 publications

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“…Examples of issues from a governance perspective are: challenges of providing incentives and flexible regulatory frameworks [11] and issues of institutional resistance [25]. The importance of policy-making that supports smart city development is also evident.…”

Section: The Non-technical Challenges Domainmentioning

confidence: 99%

Challenges with smart cities initiatives: A municipal decision makers perspective

Pierce¹,

Andersson²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: The Non-technical Challenges Domainmentioning

confidence: 99%

Challenges with smart cities initiatives: A municipal decision makers perspective

Pierce¹,

Andersson²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…In spite of rapid growth in the smart city market, a universal consensus on its definition has scarcely been reached: for instance, various terms, including "intelligent city", "information city", "knowledge city", "digital city" and "ubiquitous city", have been used interchangeably [26,27]. However, there have been several studies that conceptualize the smart city from a functional viewpoint [5,11,26,28].…”

Section: Definition Of the Smart Citymentioning

confidence: 99%

“…However, there have been several studies that conceptualize the smart city from a functional viewpoint [5,11,26,28]. According to these previous studies, a smart city is defined as a configuration with six primary functions: smart economy, smart mobility, smart environment, smart people, smart living and smart governance.…”

Section: Definition Of the Smart Citymentioning

confidence: 99%

Impact of the Smart City Industry on the Korean National Economy: Input-Output Analysis

2016

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Abstract:The characteristics of the smart city industry and its effects on the national economy of Korea are investigated using input-output analysis. The definition and industrial classification of a smart city are established using the Delphi technique for experts in various fields, from information and communication technologies (ICT) to governmental policies for urban matters. The results of the analysis, including the production, value added and employment induction effects, show that the smart city industry has intermediate characteristics between ICT and urban construction industries, indicating that acquisition of the competitive edge of both the ICT and construction industries is the key to the success of the smart city industry. The crucial industries related to the smart city industry are identified based on an analysis of the forward and backward linkage effects, the results of which suggest the importance of the relevant service industries. The economic effects on the national economy induced by the governmental program for smart city demonstration are estimated using input-output analysis results. Overall, the results of this study indicate that facilitation of the smart city industry plays a key role not only in the sustainable city, but also in the growth of the national economy.

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“…Therefore, we see the strongest role for big data within the smart city concept in its ability to support decision making and planning processes. However, implementation of big data in these processes remains a rather abstract idea for several reasons, including the facts that practical examples are still strongly services oriented, and that it refers to still largely unexplored and interdisciplinary field hence missing the cross-cutting dimension [12,13,17,[30][31][32]. In this context, the present contribution formulates a pioneering proposal, by drawing a Policy 2.0 concept and exploring the real-life use case where Policy 2.0 platform is used in supporting sustainable mobility related planning.…”

Section: Figurementioning

confidence: 99%

Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System

et al. 2016

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Abstract:It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital content through our mobile phone and social networks activities, bank card payments, location-based positioning information, online activities, etc. However, the implementation of these large data amounts in city assets planning systems still remains a rather abstract idea for several reasons, including the fact that practical examples are still very strongly services-oriented, and are a largely unexplored and interdisciplinary field; hence, missing the cross-cutting dimension. In this paper, we describe the Policy 2.0 concept and integrate user generated content into Policy 2.0 platform for sustainable mobility planning. By means of a real-life example, we demonstrate the applicability of such a big data integration approach to smart cities planning process. Observed benefits range from improved timeliness of the data and reduced duration of the planning cycle to more informed and agile decision making, on both the citizens and the city planners end. The integration of big data into the planning process, at this stage, does not have uniform impact across all levels of decision making and planning process, therefore it should be performed gradually and with full awareness of existing limitations.

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Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco

Cited by 659 publications

References 22 publications

Challenges with smart cities initiatives: A municipal decision makers perspective

Challenges with smart cities initiatives: A municipal decision makers perspective

Impact of the Smart City Industry on the Korean National Economy: Input-Output Analysis

Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System

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Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco

Cited by 659 publications

References 22 publications

Challenges with smart cities initiatives: A municipal decision makers perspective

Challenges with smart cities initiatives: A municipal decision makers perspective

Impact of the Smart City Industry on the Korean National Economy: Input-Output Analysis

Integrating Big Data into a Sustainable Mobility Policy 2.0 Planning Support System

Contact Info

Product

Resources

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Challenges with smart cities initiatives: A municipal decision makers perspective

Challenges with smart cities initiatives: A municipal decision makers perspective