Understanding the linkages of smart-city technologies and applications: Key lessons from a text mining approach and a call for future research

Zhang

et al. 2022

IMDS

PurposeThe purpose of this study is to forecast the development performance of important economies in a smart city using mixed-frequency data.Design/methodology/approachThis study introduces reverse unrestricted mixed-data sampling (RUMIDAS) to support vector regression (SVR) to develop a novel RUMIDAS-SVR model. The RUMIDAS-SVR model was estimated using a quadratic programming problem. The authors then use the novel RUMIDAS-SVR model to forecast the development performance of all high-tech listed companies, an important sector of the economy reflecting the potential and dynamism of urban economic development in Shanghai using the mixed-frequency consumer price index (CPI) producer price index (PPI), and consumer confidence index (CCI) as predictors.FindingsThe empirical results show that the established RUMIDAS-SVR is superior to the competing models with regard to mean absolute error (MAE) and root-mean-squared error (RMSE) and multi-source macroeconomic predictors contribute to the development performance forecast of important economies.Practical implicationsSmart city policy makers should create a favourable macroeconomic environment, such as controlling inflation or stabilising prices for companies within the city, and companies within the important city economic sectors should take initiative to shoulder their responsibility to support the construction of the smart city.Originality/valueThis study contributes to smart city monitoring by proposing and developing a new model, RUMIDAS-SVR, to help the construction of smart cities. It also empirically provides strategic insights for smart city stakeholders.

Section: Literature Review 21 Economic Development In Smart Citymentioning

confidence: 99%

“…(2015) further believe that economic strength determines a city's competitiveness in today's markets. Economic development in a smart city highlights the requirements of technology and balance (Lim et al. , 2021; Yigitcanlar et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Mixed-frequency data-driven forecasting the important economies' performance in a smart city: a novel RUMIDAS-SVR model

Zhang

et al. 2022

IMDS

Transactions in Urban Data, Science, and Technology

“…And the development of the internet had broken down spatial boundaries and enabled effective integration of pandemic-related knowledge, technologies, and resources (Liang et al, 2012). From then on, smart technologies developed and applied rapidly (Ahad et al, 2020;Carrasco-Farré et al, 2022;Lim et al, 2021;Papadopoulou, 2021). Currently, in response to COVID-19, they are being used more widely in various fields and scenarios.…”

Section: Smart Technologies For Fighting Against Pandemics: Observati...mentioning

confidence: 99%

Smart technologies for fighting against pandemics: Observations from China during COVID-19

Long

2022

In recent years, pandemics have become one of the most significant challenges due to their huge socio-economic impacts. Fortunately, smart technologies have provided new ideas to fight against them. Many studies have focused on analyzing particular technologies applied in pandemics, but few have systematically discussed the difference and the relationship among multiple perspectives. China is well represented in the development of technologies and pandemic responses. Therefore, this paper uses China’s response to COVID-19 as an empirical study to systematically review the application of smart technologies and build a case base from multiple perspectives. A total of 1,102 cases from 14 technologies were collected from January 2020 to June 2020 after screening, and a series of analyses were conducted in terms of types, scales, stages, and targets. The result shows various subjects participated in pandemic responses using smart technologies. General technologies such as Big Data and Mobile Internet are most widely used. Besides, most technologies are used on the country or district/city scales and focus on the prevention and control of pandemics. There are significant differences in the penetration of technologies among different perspectives. We hope to provide a reference for applying smart technologies against pandemics in the future.

“…Further research into smart cities is still developing (Dameri & Rosenthal-Sabroux, 2014). Based on smart city research, new academic and industrial domains are emerging that mix technology and services, including policy discussions from other disciplines (Lim et al, 2021). However, understanding and describing smart cities from several viewpoints is difficult.…”

Section: Introductionmentioning

confidence: 99%

Smart Heritage for Urban Sustainability: A Review of Current Definitions and Future Developments

Song

Selim

2022

JCUA

Smart heritage is still novel in heritage discourse, with a few relevant review articles. In this regard, a specific interpretation of smart architectural heritage and a framework for instructing its development is lacking. This article reviews the literature on smart heritage in sustainable development to fill the knowledge gap. As a methodology for this study, the integrative review approach and thematic analysis are adopted to review references located at the crossroads of historic, smart, and sustainable disciplines. The review and interpretation draw on literature from relevant fields to understand implementations, current states, and support to interpret smart heritage. Review outcomes indicate that smart heritage is becoming dynamic as technologies are increasingly applied to more detailed heritage branches. This article lists the factors that heritage should possess to be defined as smart, and it provides a framework that might be followed to achieve the aims of this discourse by stating that smart heritage discussions are relevant to smart cities, as they may have a mutual effect and interact to promote each other.