Smart Economy in Smart Cities

Kumar, T. M. Vinod; Dahiya, Bhárat

doi:10.1007/978-981-10-1610-3_1

Cited by 143 publications

(40 citation statements)

References 29 publications

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“…Cities are as "'engines of economic growth' and dominate local and national economies." Smart City System building blocks by Kumar [11] are presented in Fig. 1.…”

Section: Smart City X Economymentioning

confidence: 99%

SMART City and Economy: Bibliographic Coupling and Co-occurrence

Svobodová¹,

Bednarska-Olejniczak²

2020

Lecture Notes in Computer Science

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“…Cities are as "'engines of economic growth' and dominate local and national economies." Smart City System building blocks by Kumar [11] are presented in Fig. 1.…”

Section: Smart City X Economymentioning

confidence: 99%

SMART City and Economy: Bibliographic Coupling and Co-occurrence

Svobodová¹,

Bednarska-Olejniczak²

2020

Lecture Notes in Computer Science

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Section: Residential Fragmentation In Citiesmentioning

confidence: 99%

“…The residential fragmentation in Nairobi can be traced from the onset of its establishment as a transportation centre by British settlers (K'Akumu and Olima 2007;Mwaniki 2017;Olima 2001). Initially, the spatial arrangement of residential settlements was based on employment classes with top employees/employers (British), middle class (Asians) and Africans (natives) (ETH Studio Basel 2008;K'Akumu and Olima 2007;Mwaniki 2017). During the colonial period planning, racial lines defined residential zoning with British settlers residing in the best parts (Kileleshwa, Lavington, Loresho, Kilimani), the Asians occupying Nairobi west, Parklands, South C, South B and the Africans in Eastlands (K'Akumu and Olima 2007;Olima 2001).…”

Section: Residential Fragmentation In Citiesmentioning

confidence: 99%

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Spatial Patterns of Residential Fragmentation and Quality of Life in Nairobi City, Kenya

Jimmy

Martínez

Verplanke

2019

Applied Research Quality Life

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Residential fragmentation undermines integration by physically excluding some urban dwellers through walling, fencing and use of barriers limiting interactions. Research has shown that many cities in the Global South are experiencing spatial fragmentation issues associated with increasing inequalities, social exclusion and proliferation of gated communities. This results in distinct residential fragments with limited interactions and unequal quality of life (QoL) conditions of the residents of the fragments. The aim of this paper is to describe the association between residential fragmentation and QoL based on three residential fragments in the city of Nairobi (Kenia). A mixed method approach was applied to understand fragmentation in the city and analyse integration and QoL satisfaction in the fragments. Household surveys and key informant interviews were main data collection methods. Data analysis methods used included descriptive statistics, spatial and content analysis. The results show, as expected, slum residents felt the least integrated symbolically compared to the planned non-gated and gated community residents. Similarly, gated community residents have higher QoL satisfaction compared to other types of fragments. There is a strong positive correlation between symbolic integration and QoL domains related to housing and safety in the slum, indicating that people who are satisfied with housing also have a sense of belonging to their neighbourhood. In contrast, community integration has a negative correlation with safety in the gated community implying that when the residents are satisfied with safety, they tend to have low social networks. Based on the empirical evidence, fragmentation is related to specific domains of QoL as it is associated with spatial exclusion through barriers and gating and marginalization of the poor making it harder for them to feel integrated. The residential fragments reflect the intense divides in Global South cities in terms of QoL conditions and access to services.

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“…It can provide stable economic growth through higher standards of living and job opportunities, welfare, and access to better education [2,3]. Such an innovation can establish a responsible approach towards the environment, which meets the needs of today’s generations, without sacrificing those of future generations [4].…”

Section: Introductionmentioning

confidence: 99%

Hadoop Oriented Smart Cities Architecture

Dıaconıța

Bologa

2018

Sensors

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A smart city implies a consistent use of technology for the benefit of the community. As the city develops over time, components and subsystems such as smart grids, smart water management, smart traffic and transportation systems, smart waste management systems, smart security systems, or e-governance are added. These components ingest and generate a multitude of structured, semi-structured or unstructured data that may be processed using a variety of algorithms in batches, micro batches or in real-time. The ICT architecture must be able to handle the increased storage and processing needs. When vertical scaling is no longer a viable solution, Hadoop can offer efficient linear horizontal scaling, solving storage, processing, and data analyses problems in many ways. This enables architects and developers to choose a stack according to their needs and skill-levels. In this paper, we propose a Hadoop-based architectural stack that can provide the ICT backbone for efficiently managing a smart city. On the one hand, Hadoop, together with Spark and the plethora of NoSQL databases and accompanying Apache projects, is a mature ecosystem. This is one of the reasons why it is an attractive option for a Smart City architecture. On the other hand, it is also very dynamic; things can change very quickly, and many new frameworks, products and options continue to emerge as others decline. To construct an optimized, modern architecture, we discuss and compare various products and engines based on a process that takes into consideration how the products perform and scale, as well as the reusability of the code, innovations, features, and support and interest in online communities.

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Smart Economy in Smart Cities

Cited by 143 publications

References 29 publications

SMART City and Economy: Bibliographic Coupling and Co-occurrence

SMART City and Economy: Bibliographic Coupling and Co-occurrence

Spatial Patterns of Residential Fragmentation and Quality of Life in Nairobi City, Kenya

Hadoop Oriented Smart Cities Architecture

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