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Innovation in Regional Graphics

Geoinformation assessment of digitalization in the urban space of Kaliningrad

ORCID Icon, ORCID Icon & ORCID Icon
Pages 386-389 | Received 02 Mar 2021, Accepted 02 May 2022, Published online: 10 Jun 2022

ABSTRACT

Cities around the globe that have residential areas spanning several eras of architecture face the challenge of developing a comfortable urban environment. New urban spaces must accommodate the needs of a modern urban dweller constantly engaged with information and communication technologies and the Internet of Things. A viable urban development strategy is the smart-city model based on a digital city ecosystem using urban informatics technologies. The study case is Kaliningrad, a city with an over 760-year history of development. We present a comparative analysis of its housing development dynamics, tourist zones and mobile internet coverage in the residential areas. Our findings identify digitally advanced and peripheral inner-city areas and, using geoinformation data, showcase the development of digital urban space.

JEL CLASSIFICATIONS:

This article is part of the following collections:
Innovation in Regional Graphics

1. INTRODUCTION

Residential development in city districts reflects changing demands for urban spaces in different historical eras. Modern cities are undergoing a digital transformation – ubiquitous connectivity with high-speed Internet is becoming a basic need for residents, tourists, businesses and public institutions (Heaton & Parlikad, Citation2019; Panori et al., Citation2021). Studies on the revitalization of old urban spaces have urged the introduction of modern information and communication technologies (ICTs) in response to the new digital routines of city-dwellers (Mancebo, Citation2020; Oh, Citation2020).

Nowadays, as technological dependency is increasing worldwide, the digital divide is the principal split in society (Rogerson, Citation2020). Researchers have addressed new technology diffusion and adoption rates, indicating technology gaps within cities (Mills & Whitacre, Citation2003). Disparities in digital inclusion defined as access to information technology assets and the Internet (Sant’Ana et al., Citation2021) have been found across residential areas in advanced locations such as the city of San Jose in California – Silicon Valley’s hub (Levine, Citation2020). Although its entire territory is officially marked as ‘served’, the actual speed in some areas impedes performing certain online tasks. These disparities were accentuated by the Covid-19 outbreak when public entities and many businesses had to move online. As argued by Watson and Fox (Citation2021), persons with low internet speeds are disadvantaged and cannot be considered as having equal opportunities.

2. MATERIALS AND METHODS

The study uses geographical information system (GIS) and cartographic visualization to assess the readiness of urban spaces to embrace digital technology. We explore the relationship between housing development, the location of tourist attractions and mobile internet coverage as a critical component of a contemporary urban environment. This way, we correlate the dynamics of physical and digital urban dimensions.

The study uses data on Kaliningrad, the administrative centre of the Kaliningrad region of Russia. The city, established in 1255, is experiencing a migratory influx; it is expanding to accommodate new arrivals. In 2010–20, its population increased by 13.3%, reaching 489,359 people. Kaliningrad is divided into three districts: Centralny, Leningradsky and Moskovsky – with 135,360, 180,358 and 173,641 residents, respectively (). New micro-districts are emerging, and infill development is changing the appearance of the historic districts.

Figure 1. Internet coverage, housing stock and tourist attractions in Kaliningrad.

Figure 1. Internet coverage, housing stock and tourist attractions in Kaliningrad.

The data on mobile internet coverage are from Megafon, the telecommunications operator as of August 2021, focusing on the 4G+/LTE standard as compared with traditional wired connection speeds; the geodata on tourist attractions were obtained from the WikiVoyage database, the Regional List of Cultural Heritage Sites and the Prussia39 website; housing stock data are from the Dom.minzhkh online service and the regional government’s official website.

3. RESULTS

The city’s housing stock dates to four periods: pre-1947 – the Koenigsberg-era low-rise buildings; 1947–90 – Soviet-era (primarily) nine-storey buildings; 1991–2014 – the early Russian Federation period; post-2015 – modern multistorey residential complexes. Grids of 0.035 km2 hexagonal cells created using QGIS 3.16 reflect how three parameters combine: construction period, tourist attraction availability and mobile internet coverage ().

Figure 2. Residential, cultural and digital urban spaces in Kaliningrad.

Figure 2. Residential, cultural and digital urban spaces in Kaliningrad.

Although 4G is available in most of the residential areas in Kaliningrad, the average download speed is limited to 45.7 Mbps in many parts of the city. A high population density stimulates the spread of the latest Internet standards (a correlation of 0.986). There is also a direct positive correlation between the year of build and Internet coverage ().

Table 1. Distribution of paired correlation coefficients.

4. DISCUSSION

Smart-city technologies are in great demand in two types of areas: those dominated by modern residential complexes populated by avid internet users, and the traditional tourist areas with pre-1947 low-rise buildings. New residential areas have the highest 4G+/LTE penetration rate, similarly to the prestigious historic residential districts, home to half of Kaliningrad’s tourist attractions. Modern buildings bring a fresh vibe to familiar places – among other things, through an influx of new residents and businesses opening on the ground floors of residential buildings, whereas tourist districts have advanced ICT infrastructure even in areas with older housing.

Kaliningrad is in need of a ‘digital renovation’ of the remote periphery and micro-districts with multistorey Soviet-era buildings. Otherwise, these territories will face the dire prospect of digital marginalization. Apparently, the more actively digital technologies enter the daily life of the city dwellers, the more tangible their impact will be.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Russian Foundation for Basic Research (RFBR). The project title is “Regions of Russia towards a digital nation: spatial divergence in virtualization of socio-political and economic relations” [grant number 20-011-32062].

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