scholarly journals The Use of Big Data in Regenerative Planning

2018 ◽  
Vol 10 (10) ◽  
pp. 3668 ◽  
Author(s):  
Dorota Kamrowska-Zaluska ◽  
Hanna Obracht-Prondzyńska

With the increasing significance of Big Data sources and their reliability for studying current urban development processes, new possibilities have appeared for analyzing the urban planning of contemporary cities. At the same time, the new urban development paradigm related to regenerative sustainability requires a new approach and hence a better understanding of the processes changing cities today, which will allow more efficient solutions to be designed and implemented. It results in the need to search for tools which will allow more advanced analyses while assessing the planning projects supporting regenerative development. Therefore, in this paper, the authors study the role of Big Data retrieved from sensor systems, social media, GPS, institutional data, or customer and transaction records. The study includes an enquiry into how Big Data relates to the ecosystem and to human activities, in supporting the development of regenerative human settlements. The aim of the study is to assess the possibilities created by Big Data-based tools in supporting regenerative design and planning and the role they can play in urban projects. In order to do this, frameworks allowing for the assessment of planning projects were analyzed according to their potential to support a regenerative approach. This has been followed by an analysis of the accessibility and reliability of the data sources. Finally, Big Data-based projects were mapped upon aspects of regenerative planning according to the introduced framework.

Author(s):  
Jonathan Bishop

The current phenomenon of Big Data – the use of datasets that are too big for traditional business analysis tools used in industry – is driving a shift in how social and economic problems are understood and analysed. This chapter explores the role Big Data can play in analysing the effectiveness of crowd-funding projects, using the data from such a project, which aimed to fund the development of a software plug-in called ‘QPress'. Data analysed included the website metrics of impressions, clicks and average position, which were found to be significantly connected with geographical factors using an ANOVA. These were combined with other country data to perform t-tests in order to form a geo-demographic understanding of those who are displayed advertisements inviting participation in crowd-funding. The chapter concludes that there are a number of interacting variables and that for Big Data studies to be effective, their amalgamation with other data sources, including linked data, is essential to providing an overall picture of the social phenomenon being studied.


Transformation presents the second step in the ETL process that is responsible for extracting, transforming and loading data into a data warehouse. The role of transformation is to set up several operations to clean, to format and to unify types and data coming from multiple and different data sources. The goal is to get data to conform to the schema of the data warehouse to avoid any ambiguity problems during the data storage and analytical operations. Transforming data coming from structured, semi-structured and unstructured data sources need two levels of treatments: the first one is transformation schema to schema to get a unified schema for all selected data sources and the second treatment is transformation data to data to unify all types and data gathered. To ensure the setting up of these steps we propose in this paper a process switch from one database schema to another as a part of transformation schema to schema, and a meta-model based on MDA approach to describe the main operations of transformation data to data. The results of our transformations propose a data loading in one of the four schemas of NoSQL to best meet the constraints and requirements of Big Data.


Big Data ◽  
2016 ◽  
pp. 1452-1472 ◽  
Author(s):  
Jonathan Bishop

The current phenomenon of Big Data – the use of datasets that are too big for traditional business analysis tools used in industry – is driving a shift in how social and economic problems are understood and analysed. This chapter explores the role Big Data can play in analysing the effectiveness of crowd-funding projects, using the data from such a project, which aimed to fund the development of a software plug-in called ‘QPress'. Data analysed included the website metrics of impressions, clicks and average position, which were found to be significantly connected with geographical factors using an ANOVA. These were combined with other country data to perform t-tests in order to form a geo-demographic understanding of those who are displayed advertisements inviting participation in crowd-funding. The chapter concludes that there are a number of interacting variables and that for Big Data studies to be effective, their amalgamation with other data sources, including linked data, is essential to providing an overall picture of the social phenomenon being studied.


Author(s):  
Asadullah Hanif ◽  
Jalil Ahmad Pouya ◽  
Shafiqa Ahmadi ◽  
Najibullah Loodin

The rapid increase in population along with the economic activities led to rapid depletion of natural resources. Land use studies help us analyze the impacts of urban development on environment. Given the political upheavals in Afghanistan, this study aims to analyze how urban development evolved from 1978 to 2018 in six major cities- Kabul, Kandahar, Kunduz, Herat, Mazar-e Sharif and Jalalabad- in Afghanistan using Landsat Satellite Images. This study is based on quantitative approach. ArcGIS 9.4 software was used to synchronize the Landsat Satellite Images within the area of study. The results of the study show that the Annual rate of urban land expansion in Afghanistan was the lowest (average 1.07 square kilometers per year) during the military presence of Soviet Union in Afghanistan while it was the highest (3.35 square kilometers per year) from 2001 to 2018 due to the military presence of US-led NATO forces, relative security and rapid economic activities in Afghanistan. The authors believe that this study could be further explored if other inter-connected factors, e.g., the role of culture, literacy, immigration etc., are incorporated into the study of urban development processes in Afghanistan.


2020 ◽  
Vol 3 (156) ◽  
pp. 135-139
Author(s):  
K. Vyatkin

The purpose of the article is to substantiate the theoretical and methodological provisions for determining the role of the suburban area in the development of urban processes in modern socio-economic conditions. The article considers some aspects of social, economic, spatial and ecological development of suburban areas in the context of their use as factors in solving problems of urban development. Prospects for the development of subur-ban areas as a basis for the formation of suburbanization processes are determined. The paper defines the concept of "suburban area" taking into account the processes of urbanization. It is stated that this definition should be comprehensive, and not just take into account the location of the territory near the city. Identified current issues of urban development of large cities, allowed us to conclude about the relevance of suburbanization. The benefits of suburbanization processes were assessed by highlighting the "strengths" of suburban areas to ensure attractive-ness among the population, and also identified the shortcomings of suburban development processes that inhibit suburbanization processes. Having analyzed the prospects for the development of suburbanization processes, their role in ensuring the sustainable development of urban processes is significant. Keywords: suburban zone, suburbanization, theoretical and methodological approaches, urban planning, urban planning, urbanized systems, development of territories, urban planning factors.


2018 ◽  
Vol 53 (1) ◽  
pp. 27-35
Author(s):  
Dorota Murzyn

Abstract One of the objectives of Poland’s accession to the European Union was to accelerate modernisation and development processes both nationally and locally. Cohesion policy measures provide a way to support these modernisation processes, and cities, especially large ones, play a particular role in this regard. The study aims to assess the role of EU cohesion policy funds in urban development in Poland (with the example of major cities – cities with poviat status). The expenditure on the implementation of projects financed with EU funds accounts for more than half of the investment expenditure of cities with poviat status. Placing it in the context of the full spectrum of public intervention, as well as investments by businesses and other actors on the territories of cities, those cities are the largest beneficiaries of EU cohesion funds in Poland. In the light of the results of quantitative research it can be said that the implementation of cohesion policy is important for large cities and has had an impact on the improvement of their economic situation. By analysing the thematic structure of the projects that have been carried out and co-financed with EU funds we can see that they have contributed to smart, sustainable and inclusive growth, but the scale of this impact should be the subject of further research.


Urban Studies ◽  
2020 ◽  
Vol 57 (3) ◽  
pp. 701-708 ◽  
Author(s):  
Andrew EG Jonas

China’s urban development is often regarded as exceptional in terms of both the pace of urbanisation and the size and territorial reach of the country’s constituent city-regions. This commentary examines the variegated role of city-regionalism in the internationalisation and domestic management of Chinese state territory, and considers how the rise of new city-regional urban forms inside China is transforming the politics of urban development. China urban development processes are neither exclusively unique nor are they resistant to general theorisation; instead they are essentially comparable and therefore amenable to further theoretical interpretation.


2021 ◽  
Vol 15 (01) ◽  
pp. 117-139
Author(s):  
Maria Krommyda ◽  
Verena Kantere

As the Internet of Things (IoT) systems gain in popularity, an increasing number of Big Data sources are available. Ranging from small sensor networks designed for household use to large fully automated industrial environments, the IoT systems create billions of measurements each second making traditional storage and indexing solutions obsolete. While research around Big Data has focused on scalable solutions that can support the datasets produced by these systems, the focus has been mainly on managing the volume and velocity of these data, rather than providing efficient solutions for their retrieval and analysis. A key characteristic of these data, which is, more often than not, overlooked, is the spatial information that can be used to integrate data from multiple sources and conduct multi-dimensional analysis of the collected information. We present here the solutions currently available for the storage and indexing of spatial datasets produced by the IoT systems and we discuss their applicability in real-world scenarios.


2020 ◽  
Vol 15 (1) ◽  
pp. 149-160
Author(s):  
Justyna Przywojska ◽  
Aldona Podgórniak-Krzykacz

The subject literature provides knowledge about various contemporary concepts of urban development, emphasizing a variety of goals and priorities of this process. Although sustainability should be a key objective of development policy, the methods of achieving it seem to be diverse. As a result, there are many theories describing development processes on a local scale, but there are no scientific attempts to summarise them or to comprehensively evaluate them. In the presented article such an attempt was initiated – the evolution of the concept of sustainable development in the context of transformation of the role of man in socio-economic and political processes from homo-oeconomicus to homo cooperativus was outlined and the assumptions of contemporary concepts of urban development (smart city, eco city and compact city) were identified and evaluated in terms of their cohesion and implementation of sustainable development principles. On this basis, a conceptual framework for an inclusive urban development model was defined, considering their key values in a synergic way.


2021 ◽  
Vol 16 (7) ◽  
pp. 1369-1377
Author(s):  
Hasanain A. Karbol ◽  
Sarah M. Al-Saadi

The virtual reality of cities is the current historical period of urban progress and a kind of interconnected co-activity between innovative virtual elements, elements of the city and its urban parts according to the affected relationships of social, financial, cultural, spatial, political and local features. Where contemporary concepts of virtual reality were presented by the philosophical corps without clarifying their role comprehensively in the urban development processes of cities, so the research aimed to determine the roles of the ideas of the virtual world and the virtual city in the work of both specialists and decision makers, and the urban development processes of traditional and historical cities, where the research information methodology compares theoretical architectural and urban models to intersect with the basic concepts related to the virtual city, the research reached multi-level roles in terms of impact and degrees of complexity, which contribute to an innovative reproduction of urban development processes.


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