Key Success Factors for Smart City Construction

The Smart City is not a new concept. In fact, the digital city appeared in the information era and the wireless city emerged in the Internet era, but the Smart City had not been clearly defined until the digital era. Unlike traditional informatization, a Smart City is not simply the combination of informatization in all industries. Not only is a smart city a top-leadership project, it reshapes the digital capabilities of all industries in a city, while also addressing systematic challenges. This paper presents Huawei perspective on Smart City development, including the conceptual framework, governance, type, connectivity, structural enablers. The paper also describes the strategic vision and a Smart City construction path, from the strategic planning, solution design and implementation.

Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things

The purpose of this article is to use the Internet of Things related technology to analyze the characteristics of multisource and easy-to-purchase data for the different types of planning data and different levels of cognitive needs of participants in the entire urban planning process. This paper uses the ontology idea to reconstruct the relationship between multisource and heterogeneous planning data including Internet of Things data, planning documents, and planning drawings, to design the data semantic relationship of the ontology model elements, define the relationship between the data types, and implement the ontology-based method. The semantic expression algorithm in the planning field facilitates the exchange of various planning participants’ understanding of the planning scheme, at the same time, according to the classification of multisource heterogeneous data features, logical reasoning of ontology relationships, filtering redundant information, and multisource heterogeneous planning data visualization. Finally, the information of the same nature collected by the sensor nodes of the Internet of Things is batched, and the calculated fusion information is closer to the true value through a series of weighting formulas. Experiments prove that the feature analysis method proposed in this paper can maintain a loss of 0.02% and achieve an accuracy rate of 79.1% when the overall characteristics of digital city planning are reduced by 67%, which effectively proves the multisource heterogeneous data feature analysis for digital city planning importance.

Smart City and its Prototypes: social perceptions (outcomes of social analysis)

The term Smart City (digital city, cybercity, city of knowledge, eco-city) is being increasingly used in the social space and media since the beginning of the twenty-first century. The term implies the comprehensive activities of international organizations (UN, EU, UAE, etc.) and cities to transform the social environment of megacities. In the presence of a significant number of publications related to IT technologies, clarification of the meaning and content of the social characteristics of the new phenomenon requires further research. The pilot-study of the social perceptions of the term Smart City was implemented by means of a content analysis of scientific literature, direct and remote polling of citizens using a random sample method (459 respondents). The respondents on the basis of the semantic differential method (M. Rokeach) have assessed the image of a Smart City, as well as a number of other images associated with its understanding on 16 and 28 scale-scripts, specially developed questionnaires containing also C. Alderfer’s and M. L scher’s tests. The received answers were subjected to the procedure of factorial and correlation analysis separately in each group of respondents. When processing the research results, the SPSS program was used.

Proactive state geographies: Geocoded intelligence in London’s ‘suburban shanty towns’

This article draws on an ethnographic approach to concrete institutional practices and machine learning algorithms to analyse emergent proactive state geographies in London’s suburbs. The article assesses predictive modelling in housing enforcement in respect of the government of migrant housing precarity in the interstices of rentier and racial capitalism. The article develops two central contentions concerning these proactive state geographies. First, relations between geopolitics, the racialisation of urban space and algorithms need to be situated in relation to institutional state prosaics. ‘Connecting the dots’, a motif of post-9/11 pre-emptive securitisation, is located in suburban housing enforcement regimes corresponding to the politicisation of overcrowding, while the enactment of data-driven intelligence, including in raids, renews the border in these suburbs. Second, proactive technologies work through state data infrastructures. Geocoding, a technique of urban legibility designating the property grid, organises the algorithmic production of legality/illegality and consequently public health and housing futures in the digital city. While the analysis stems from a specific context, the article aims to contribute to interdisciplinary debates about politics, algorithms and state transformation spanning political, urban and digital geography and cognate fields.