scholarly journals Smart City Strategies—Technology Push or Culture Pull? A Case Study Exploration of Gimpo and Namyangju, South Korea

Smart Cities ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 41-53 ◽  
Author(s):  
Seunghwan Myeong ◽  
Younhee Kim ◽  
Michael J. Ahn

This study aims to address strategies, models, and the motivation behind smart cities by analyzing two smart city project cases in medium-sized cities, i.e., Gimpo and Namyangju in South Korea. The case of Smartopia Gimpo represents a top-down, infrastructure-focused smart city innovation that invested in building state-of-the-art big data infrastructure for crime prevention, traffic alleviation, environmental preservation, and disaster management. On the other hand, Namyangju 4.0 represents a strategy focused on internal process innovation through extensive employee training and education regarding smart city concepts and emphasizing data-driven (rather than infrastructure-driven) policy decision making. This study explores two smart city strategies and how they resulted in distinctively different outcomes. We found that instilling a culture of innovation through the training of government managers and frontline workers is a critical component in achieving a holistic and sustainable smart city transformation that can survive leadership changes.

2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.


2020 ◽  
pp. 50-62
Author(s):  
K.S. Teteryatnikov ◽  
S.G. Каmolov ◽  
A.A. Pyatova

The article is meant to analyze various strategies and models for the development of smart cities, as well as the concept of project financing of smart cities, proposed by Pietro Doran, one of the founding partners of the world’s first smart city built from scratch in South Korea — Songdo. The authors believe that Songdo’s financing model, based on P. Doran’s Project Model can be considered as an effective way to attract investment in greenfield projects for the development of «smart cities» in Russia on the basis of public-private partnership.


Buildings ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 78
Author(s):  
Daria Uspenskaia ◽  
Karl Specht ◽  
Hendrik Kondziella ◽  
Thomas Bruckner

Without decarbonizing cities energy and climate objectives cannot be achieved as cities account for approximately two thirds of energy consumption and emissions. This goal of decarbonizing cities has to be facilitated by promoting net-zero/positive energy buildings and districts and replicating them, driving cities towards sustainability goals. Many projects in smart cities demonstrate novel and groundbreaking low-carbon solutions in demonstration and lighthouse projects. However, as the historical, geographic, political, social and economic context of urban areas vary greatly, it is not always easy to repeat the solution in another city or even district. It is therefore important to look for the opportunities to scale up or repeat successful pilots. The purpose of this paper is to explore common trends in technologies and replication strategies for positive energy buildings or districts in smart city projects, based on the practical experience from a case study in Leipzig—one of the lighthouse cities in the project SPARCS. One of the key findings the paper has proven is the necessity of a profound replication modelling to deepen the understanding of upscaling processes. Three models analyzed in this article are able to provide a multidimensional representation of the solution to be replicated.


i-com ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 177-193
Author(s):  
Daniel Wessel ◽  
Julien Holtz ◽  
Florian König

Abstract Smart cities have a huge potential to increase the everyday efficiency of cities, but also to increase preparation and resilience in case of natural disasters. Especially for disasters which are somewhat predicable like floods, sensor data can be used to provide citizens with up-to-date, personalized and location-specific information (street or even house level resolution). This information allows citizens to better prepare to avert water damage to their property, reduce the needed government support, and — by connecting citizens locally — improve mutual support among neighbors. But how can a smart city application be designed that is both usable and able to function during disaster conditions? Which smart city information can be used? How can the likelihood of mutual, local support be increased? In this practice report, we present the human-centered development process of an app to use Smart City data to better prepare citizens for floods and improve their mutual support during disasters as a case study to answer these questions.


Information ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 270 ◽  
Author(s):  
Anne Faber ◽  
Sven-Volker Rehm ◽  
Adrian Hernandez-Mendez ◽  
Florian Matthes

Smart mobility is a central issue in the recent discourse about urban development policy towards smart cities. The design of innovative and sustainable mobility infrastructures as well as public policies require cooperation and innovations between various stakeholders—businesses as well as policy makers—of the business ecosystems that emerge around smart city initiatives. This poses a challenge for deploying instruments and approaches for the proactive management of such business ecosystems. In this article, we report on findings from a smart city initiative we have used as a case study to inform the development, implementation, and prototypical deployment of a visual analytic system (VAS). As results of our design science research we present an agile framework to collaboratively collect, aggregate and map data about the ecosystem. The VAS and the agile framework are intended to inform and stimulate knowledge flows between ecosystem stakeholders in order to reflect on viable business and policy strategies. Agile processes and roles to collaboratively manage and adapt business ecosystem models and visualizations are defined. We further introduce basic categories for identifying, assessing and selecting Internet data sources that provide the data for ecosystem models and we detail the ecosystem data and view models developed in our case study. Our model represents a first explication of categories for visualizing business ecosystem models in a smart city mobility context.


2018 ◽  
Author(s):  
Taylor Shelton ◽  
Thomas Lodato

In response to the mounting criticism of emerging ‘smart cities’ strategies around the world, a number of individuals and institutions have attempted to pivot from discussions of smart cities towards a focus on ‘smart citizens’. While the smart citizen is most often seen as a kind of foil for those more stereotypically top-down, neoliberal, and repressive visions of the smart city that have been widely critiqued within the literature, this paper argues for an attention to the ‘actually existing smart citizen’, which plays a much messier and more ambivalent role in practice. This paper proposes the dual figures of ‘the general citizen’ and ‘the absent citizen’ as a heuristic for thinking about how the lines of inclusion and exclusion are drawn for citizens, both discursively and materially, in the actual making of the smart city. These figures are meant to highlight how the universal and unspecified figure of ‘the citizen’ is discursively deployed to justify smart city policies, while at the same time, actual citizens remain largely excluded from such decision and policy-making processes. Using a case study of Atlanta, Georgia and its ongoing smart cities initiatives, we argue that while the participation of citizens is crucial to any truly democratic mode of urban governance, the emerging discourse around the promise of smart citizenship fails to capture the realities of how citizens are actually discussed and enrolled in the making of these policies.


2021 ◽  
Vol 11 (22) ◽  
pp. 10712
Author(s):  
Wilson Nieto Bernal ◽  
Keryn Lorena García Espitaleta

The goal of this research is to design a framework to develop an information technology (IT) maturity model to guide the planning, design, and implementation of smart city services. The objectives of the proposed model are to define qualitatively and measure quantitatively the maturity levels for the IT dimensions used by smart cities (IT governance, IT services, data management and infrastructure), and to develop an implementation model that is practical and contextualized to the needs of any territory that wants to create or improve smart city services. The proposed framework consists of three components: a conceptual model of smart city services, IT dimensions and indicators, and IT maturity levels. The framework was validated by applying it to a case study for the evaluation of the IT maturity levels for the city of Cereté, Colombia.


2019 ◽  
pp. 1407-1427
Author(s):  
Carlo Francesco Capra

Smart cities are associated almost exclusively with modern technology and infrastructure. However, smart cities have the possibility to enhance the involvement and contribution of citizens to urban development. This work explores the role of governance as one of the factors influencing the participation of citizens in smart cities projects. Governance characteristics play a major role in explaining different typologies of citizen participation. Through a focus on Amsterdam Smart City program as a specific case study, this research examines the characteristics of governance that are present in the overall program and within a selected sample of projects, and how they relate to different typologies of citizen participation. The analysis and comprehension of governance characteristics plays a crucial role both for a better understanding and management of citizen participation, especially in complex settings where multiple actors are interacting.


Author(s):  
Vrushali Gajanan Kadam ◽  
Sharvari Chandrashekhar Tamane ◽  
Vijender Kumar Solanki

The world is growing and energy conservation is a very important challenge for the engineering domain. The emergence of smart cities is one possible solution for the same, as it claims that energy and resources are saved in the smart city infrastructure. This chapter is divided into five sections. Section 1 gives the past, present, and future of the living style. It gives the representation from rural, urban, to smart city. Section 2 gives the explanations of four pillars of big data, and through grid, a big data analysis is presented in the chapter. Section 3 started with the case study on smart grid. It comprises traffic congestion and their prospective solution through big data analytics. Section 4 starts from the mobile crowd sensing. It discusses a good elaboration on crowd sensing whereas Section 5 discusses the smart city approach. Important issues like lighting, parking, and traffic were taken into consideration.


Author(s):  
Ahmet Bulut

This chapter introduces a new framework called “I3: Instrument, interconnect, and cultivate intelligence framework.” This framework can be used to drive the transformation of today’s not so smart cities into the smart cities of tomorrow. In i3, instrumentation is used to collect data, which is important, because data provides measurability, and measurement can lead to improvement. Interconnection in i3 is used to discover associations and relationships between seemingly independent subsystems in a city. In i3, controlled experiments are easily setup and run to test each individual policy. The intelligence bit in i3 comes from being able to test specific policy hypotheses and conduct rigorous analysis and synthesis of the integrated data. The i3 framework helps city officials and researchers discover valuable knowledge, make informed decisions based on the results of various policies that are put in place, and facilitates the culture of experimentation at every policy decision level. The overarching goal in i3 is to discover routine and well-structured patterns in city management operations, turn them into best practices, and finally automate the execution of such practices so that the framework itself can take a major responsibility over city management. In this chapter, a roadmap is provided as a guideline for policymakers to successfully deploy i3 in their jurisdiction. By using i3 continually, a regular city can be transformed into a smart city faster.


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