Experimental Modeling of Smart City Development Process Based on Smart City Adaptive Concept Model

Over the past decade, the process of urbanization in Vietnam has taken place rapidly, leading to strong social disturbances and causing cities to face many problems. All these challenges have put pressure on urban planning and governance to make adjustments to allow cities to become livable. Moreover, the quality of urbanization is reflected not only in growth but also in harmonious development in all aspects. The urban development process must accordingly be handled by more smart solutions. Smart city development is becoming a trend not only in urban areas all over the world but also in Vietnam. The paper aims to assess the initial phases of the smart city development process in Dalat City. It first evaluated a four-dimensional smart city’s strategic elements of city vision and transformation known as Strengths-Weaknesses-Opportunities-Threats. Then, based on these analytical characteristics, an adaptive model for development is suggested. This paper extends the previous research on smart cities and draws attention to further study on smart city development in Vietnam.

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TIPOLOGI PELAKSANAAN KEGIATAN SMART CITY DI MASA PANDEMI COVID-19 (KASUS : KOTA YOGYAKARTA)

Jurnal Ilmu Administrasi Media Pengembangan Ilmu dan Praktek Administrasi ◽

10.31113/jia.v18i2.829 ◽

2021 ◽

Vol 18 (2) ◽

pp. 225-236

Author(s):

Fitri Noviyanti ◽

Achmad Djunaedi

Keyword(s):

Smart City ◽

Qualitative Method ◽

Development Process ◽

Implementation Process ◽

Secondary Data ◽

Economic Recovery ◽

City Development ◽

The City ◽

Depth Interviews ◽

Yogyakarta City

Perkembangan Smart City di berbagai belahan dunia saat ini harus beradaptasi dengan kondisi yang baru akibat terjadinya pandemi COVID-19. Kota Yogyakarta merupakan salah satu kota yang proses perkembangan smart city nya harus beradaptasi pada kondisi tersebut. Tujuan penelitian ini adalah untuk mengetahui kondisi tipologi pelaksanaan Smart City dan mengidentifikasi faktor-faktor yang mempengaruhi tipologi pelaksanaan Smart City di Kota Yogyakarta di masa pandemi COVID-19. Penelitian ini menggunakan metode kualitatif. triangulasi sumber data dengan menggali kebenaran informasi tertentu melalui berbagai metode dan sumber perolehan data. Pengumpulan data dilakukan melalui wawancara mendalam dan observasi data-data sekunder. Sedangkan pengolahan data dilakukan melalui reduksi data. Hasil penelitian menunjukkan bahwa kegiatan yang proses implementasinya lebih cepat di dominasi oleh kegiatan yang dilaksanakan secara daring, sedangkan kegiatan yang proses implementasinya terhambat didominasi oleh kegiatan yang menimbulkan kerumunan. Selain itu kegiatan-kegiatan hasil inovasi baru didominasi oleh kegiatan yang bertujuan untuk mengendalikan kasus COVID-19 beserta pemulihan ekonomi. Faktor yang mempengaruhi kondisi pelaksanaan kegiatan Smart City di Kota Yogyakarta terbagi kedalam enam kategori yakni kategori masyarakat, kondisi pemerintah, kondisi kegiatan, kondisi infrastruktur serta faktor kolaborasi. AbstractThe current development of Smart City must adapt to new conditions due to the COVID-19 pandemic. Yogyakarta is one of the cities whose smart city development process must adapt to these conditions. The purpose of this study was to determine the typology of Smart City implementation and identify the factors that influence the typology of Smart City implementation in Yogyakarta City during the COVID-19 pandemic. This study uses a qualitative method. triangulation of data sources by exploring the truth of certain information through various methods and sources of data acquisition. Data was collected through in-depth interviews and observation of secondary data. Data processing is done through data reduction. The results show that activities whose implementation process is faster are dominated by activities carried out online, while activities whose implementation process is hampered are dominated by activities that cause crowds. In addition, activities resulting from new innovations are dominated by activities aimed at controlling COVID-19 cases and economic recovery. The factors that influence the conditions of implementing Smart City activities in the city of Yogyakarta are divided into six categories, namely the community category, government conditions, activity conditions, infrastructure conditions and collaboration factors.

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TATA RUANG KOTA CIAMIS PASCAPERDAGANGAN DUNIA ABAD KE-19 – 20

PANALUNGTIK ◽

10.24164/pnk.v1i1.5 ◽

2019 ◽

Vol 1 (1) ◽

pp. 41-60

Author(s):

Nanang Saptono

Keyword(s):

20Th Century ◽

Development Process ◽

Industrial Area ◽

Spatial Layout ◽

Research Data ◽

City Development ◽

Descriptive Research ◽

Economic Infrastructure ◽

Ancient Maps ◽

The City

The capital of Ciamis Regency has experienced several displacements. During the reign of Raden Adipati Aria Kusumadiningrat the development of the capital was encouraged to develop into a city. After the kulturstelsel era, many European capitalists invested in Ciamis. At the beginning of the 20th century economic infrastructure, especially the means of distribution of commodities is much needed. Building economic facilities have sprung up in several locations in Ciamis. Such conditions result in the development of the city. This study aims to get a picture of the spatial layout of Ciamis and the city development process. The research method applied descriptive research. Data collection is done through direct observation in the field and accompanied by the utilization of instrument in the form of ancient maps. In the area of Ciamis City there are still some old building objects that can be used as a spatial bookmark of the city. At a glance the city's development spontaneously, but visible on the basis of existing infrastructure, in the 20th century the city of Ciamis showed a planned city. The growth of Ciamis city is of course influenced by several factors including economic and geographical factors.Keywords: city, layout, planned, industrial area

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Smart city concept model. Guide to establishing a model for data interoperability

10.3403/30290059 ◽

2014 ◽

Keyword(s):

Smart City ◽

Data Interoperability ◽

Concept Model

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Smart city concept model. Guidance for establishing a model for data interoperability

10.3403/30337920u ◽

2017 ◽

Keyword(s):

Smart City ◽

Data Interoperability ◽

Concept Model

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Relevance of lifecycle management to smart city development

International Journal of Product Development ◽

10.1504/ijpd.2018.093430 ◽

2018 ◽

Vol 22 (5) ◽

pp. 351 ◽

Cited By ~ 1

Author(s):

Ahmed Hefnawy ◽

Abdelaziz Bouras ◽

Chantal Cherifi

Keyword(s):

Smart City ◽

City Development ◽

Lifecycle Management

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Successful collaboration between smart city consortium and Hong Kong Government in Covid-19 dashboard: the case of leadership in practice

International Journal of Organizational Analysis ◽

10.1108/ijoa-01-2021-2604 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Daniel Jung Yue Chun ◽

Wahid Abdul Nabsiah ◽

Cheng Ling Tan

Keyword(s):

Hong Kong ◽

Smart City ◽

Third Party ◽

City Development ◽

Structured Interviews ◽

Content Type ◽

Non Profit ◽

Mass Collaboration ◽

The Government

Purpose This paper aims to discover why such a public partnership project had been successful with a non-profit third-party alliance such as a smart city consortium (SCC) promoting smart city development. Design/methodology/approach This descriptive case study is primarily based on analysing data collected from various texts, public statements, media interviews and three semi-structured interviews with key members involved in the Covid-19 dashboard project. Findings The data and analysis reviews that both interpersonal and interorganisational trust, dedication and proactiveness of the leaders at SCC were major contributing factors to why SCC was able to partner with the Hong Kong Government in the Covid-19 dashboard in the first place and that the success was also a direct outcome of effective mass collaborative knowledge management activities. Research limitations/implications The research in leadership attributes and activities in the non-profit alliance has been few and this collaborative partnership between the alliance and the government is an example of the importance of further research in smart city leadership. Practical implications In deploying projects for mass collaboration and knowledge sharing in smart city development (which is multi-disciplinary in nature). there are still many new and evolving organisational practices and leadership matters that many business leaders and city managers can learn from. Social implications Smart city development projects involve the notion of sharing data in an open environment enabled by software and mediating tools. Successful projects such as this Hong Kong Covid-19 dashboard which serves a diverse audience can further promote the importance of an open data policy regime for the benefit of the public. Originality/value This case study covers a highly original and unique case study with the leaders at the SCC and representatives from the Hong Kong Government.

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Practice Report “Smart Disaster Management” — Combining Smart City Data and Citizen Participation to Increase Disaster Resilience

i-com ◽

10.1515/icom-2021-0016 ◽

2021 ◽

Vol 20 (2) ◽

pp. 177-193

Author(s):

Daniel Wessel ◽

Julien Holtz ◽

Florian König

Keyword(s):

Citizen Participation ◽

Smart City ◽

Development Process ◽

Smart Cities ◽

Government Support ◽

Sensor Data ◽

Specific Information ◽

Mutual Support ◽

The Everyday

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.

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