scholarly journals CLUSTERING ANALYSIS FOR RESIDENTIAL AREAS BASED ON NEIGHBORHOOD AMENITIES

2021 ◽  
Vol 9 (01) ◽  
pp. 957-965
Author(s):  
Karan Bhowmick

The use of urban land in cities can be improved and the poor execution of Urban planning is related to the problem of housing. The problem of housing has become acute because of the tremendous increase of urban population and unplanned growth of the cities. Mumbai has a population of 20,411,000 thus it is the target of our analysis project. Affordable housing in Mumbai has become an unfathomable challenge, it one of the most complex probes in this city. About 42% of Mumbais housing comprises slums. With this in mind, our aim is to help the decision of buying houses, by recommending localities with basic amenities. We hope to make the process of scrutinizing residential buildings more streamlined. We also hope to underscore areas with housing potential in this study. We use K-Means Clustering to cluster the different neighborhoods of Mumbai, based on the availability of 31 amenities in the neighborhood. We have used Data from Wikipedia to get the list of neighborhoods in Mumbai, and we use Foursquare API to get a list of amenities in each area of the neighborhood. We then evaluate the model using silhouette score and plot a graph using folium to show the different clusters on the map of Mumbai.

2020 ◽  
Vol 208 ◽  
pp. 04015
Author(s):  
Irina Saenko ◽  
Kristina Chepeleva ◽  
Olga Tolochko

The article presents the results of assessment of the conformity of the existing living environment and identification of features of its development, based on the needs of older adults. The urbanization of society and the aging of the population are one of the factors that have recently given rise to the forms of development of the residential environment, which determine special organizational, managerial, and urban planning decisions for designing the parameters of residential buildings and housing stock, based on the needs of this category of citizens. Strategic tools made it possible to outline the main directions for the development of a comfortable living environment, based on the needs of older adults. The developed roadmap provides for the optimization of the existing regulatory framework for the design of residential areas and the popularization and implementation of new standards for integrated development. A city designed according to standards that meet the needs of various categories of citizens determines their choice of alternative social models of the living environment.


Urbanization assumes a pivotal role in the economic development of any country. Housing affordability has been broadly perceived as a fundamental issue in making practical assembled condition particularly with regards to developing world urban communities. As a result, a large number of the least urbanized and least developed Indian nations' will confront serious difficulties in giving moderate housing to the urban tenants. This exploration is done to distinguish conceivable indicators for affordable housing in India, particularly in the urban zones. Likewise, it inspects the present view of housing affordability in outlying regions through the improvement of a set of empirical indicators. These indicators are applied to give an incorporated affordability record for each statistical area unit across India.


2021 ◽  
pp. 009614422198997
Author(s):  
Marianna Charitonidou

The article presents the reasons for which the issue of providing housing to low-income citizens has been a real challenge in Addis Ababa during the recent years and will continue to be, given that its population is growing extremely fast. It examines the tensions between the universal aspirations and the local realities in the case of some of Ethiopia’s most ambitious mass pro-poor housing schemes, such as the “Addis Ababa Grand Housing Program” (AAGHP), which was launched in 2004 and was integrated in the “Integrated Housing Development Program” (IHDP) in 2006. The article argues that the quotidian practices of communities and their socio-economic and cultural characteristics are related to the spatial attributes of co-housing practices. Drawing upon the idea that there is a mutual correspondence between social and spatial structures, it places particular emphasis on the analysis of the IHDP and aims to show that to shape strategies that take into account the social and cultural aspects of daily life of the poor citizens of Addis Ababa, it is pivotal to invite them to take part in the decision-making processes regarding their resettlement. Departing from the fact that a large percentage of the housing supply in Addis Ababa consists of informal unplanned housing, the article also compares the commoning practices in kebele houses and condominium units. The former refers to the legal informal housing units owned by the government and rented to their dwellers, whereas the latter concerns the housing blocks built in the framework of the IHDP for the resettlement of the kebele dwellers. The article analyzes these processes of resettlement, shedding light of the fact that kebele houses were located at the inner city, whereas the condominiums are located in the suburbs. Despite the fact that the living conditions in the condominium units are of a much higher quality than those in the kebele houses, their design underestimated or even neglected the role of the commoning practices. The article highlights the advantages of commoning practices in architecture and urban planning, and how the implementation of participation-oriented solutions can respond to the difficulties of providing housing. It argues that understanding the significance of the endeavors that take into account the opinions of dwellers during the phase of decision-making goes hand in hand with considering commoning practices as a source of architecture and urban planning frameworks for low-cost housing in this specific context. The key argument of the article is that urban planning and architecture solutions in Addis Ababa should be based on the principles of the so-called “negotiated planning” approach, which implies a close analysis of the interconnections between planning, infrastructure, and land.


2020 ◽  
Vol 12 (11) ◽  
pp. 1730 ◽  
Author(s):  
Gebhard Warth ◽  
Andreas Braun ◽  
Oliver Assmann ◽  
Kevin Fleckenstein ◽  
Volker Hochschild

Ongoing urbanization leads to steady growth of urban areas. In the case of highly dynamic change of municipalities, due to the rates of change, responsible administrations often are challenged or struggle with capturing present states of urban sites or accurately planning future urban development. An interest for urban planning lies on socio-economic conditions, as consumption and production of disposable goods are related to economic possibilities. Therefore, we developed an approach to generate relevant parameters for infrastructure planning by means of remote sensing and spatial analysis. In this study, the single building defines the spatial unit for the parameters. In the case city Belmopan (Belize), based on WorldView-1 data we manually define a city covering building dataset. Residential buildings are classified to eight building types which are locally adapted to Belmopan. A random forest (RF) classifier is trained with locally collected training data. Through household interviews focusing on household assets, income and educational level, a socio-economic point (SEP) scaling is defined, which correlates very well with the defined building typology. In order to assign socio-economic parameters to the single building, five socio-economic classes (SEC) are established based on SEP statistics for the building types. The RF building type classification resulted in high accuracies. Focusing on the three categories to describe residential socio-economic states allowed high correlations between the defined building and socio-economic points. Based on the SEP we projected a citywide residential socio-economic building classification to support supply and disposal infrastructure planning.


2015 ◽  
Vol 16 (6) ◽  
pp. 579-589 ◽  
Author(s):  
Tsubasa Shimoji ◽  
Hayato Tahara ◽  
Hidehito Matayoshi ◽  
Atsushi Yona ◽  
Tomonobu Senjyu

Abstract From the perspective of global warming suppression and the depletion of energy resources, renewable energies, such as the solar collector (SC) and photovoltaic generation (PV), have been gaining attention in worldwide. Houses or buildings with PV and heat pumps (HPs) are recently being used in residential areas widely due to the time of use (TOU) electricity pricing scheme which is essentially inexpensive during middle-night and expensive during day-time. If fixed batteries and electric vehicles (EVs) can be introduced in the premises, the electricity cost would be even more reduced. While, if the occupants arbitrarily use these controllable loads respectively, power demand in residential buildings may fluctuate in the future. Thus, an optimal operation of controllable loads such as HPs, batteries and EV should be scheduled in the buildings in order to prevent power flow from fluctuating rapidly. This paper proposes an optimal scheduling method of controllable loads, and the purpose is not only the minimization of electricity cost for the consumers, but also suppression of fluctuation of power flow on the power supply side. Furthermore, a novel electricity pricing scheme is also suggested in this paper.


2018 ◽  
Vol 878 ◽  
pp. 202-209 ◽  
Author(s):  
Feng Qian ◽  
Li Yang

The natural ventilation of residential areas has placed more and more emphasis on residential area planning, according to the relationship between natural ventilation environments and the layout of architecture, we can reduce the energy consumption and the adverse effect of wind outdoors, improve the living environment and quality of life, making harmony between human and the nature. In this paper, we use Air-Pak to simulate the wind environment of residential areas. Through analyzing and simulating the air field which forms when the wind blows around the residential buildings by Air-Pak, we explain the advantage of the combination of computer simulation software and residential area planning. And we give some advice to the layout of the outdoor environment early in the residential planning area by the simulation of outdoor environments of buildings.


Prostor ◽  
2021 ◽  
Vol 29 (1 (61)) ◽  
pp. 72-87
Author(s):  
Hrvoje Marinović ◽  
Ivan Mlinar ◽  
Ana Tomšić

Split 2 is a significant part of urban and architectural heritage in Split and Croatia. This arises from the scope and reach of the rational urban planning and use of space, inventive architectural design focused on construction technologies, operations and materials which were mainly organized in concentric construction sites of housing developments and areas which predominantly featured standardized residential buildings and residential high-rises in the period from 1957 to 1968.


2020 ◽  
Vol 10 (2) ◽  
pp. 71-77
Author(s):  
Svetlana G. GOLOVINA

The paper presents a review of architectural and design techniques which were characteristic for residential development in the second half of the XVIII century in St. Petersburg. During that period, there was formed the urban planning, volumetric spatial and constructional structure of residential buildings, which later, in the XIX - early XX century, became a typical solution for residential development in St. Petersburg. The fi rewalled residential house was usually built along the perimeter of the possessory plot of land with an inner courtyard formed inside. The residential house consisted of a two-span front building and one-span side buildings located along the perimeter of the site. The constructional system of a residential building in the second half of the XVIII century was a vaulted-beam scheme along the longitudinal walls. The main construction structures are described, such as brick walls with subsequent fi nishing, strip stone footings based on wooden joists, roofs built on wooden batt er rafters in a cold att ic with no heating.


2013 ◽  
Vol 1 (4) ◽  
pp. 3485-3527 ◽  
Author(s):  
H. Cammerer ◽  
A. H. Thieken ◽  
J. Lammel

Abstract. Flood loss modeling is an important component within flood risk assessments. Traditionally, stage-damage functions are used for the estimation of direct monetary damage to buildings. Although it is known that such functions are governed by large uncertainties, they are commonly applied – even in different geographical regions – without further validation, mainly due to the lack of data. Until now, little research has been done to investigate the applicability and transferability of such damage models to other regions. In this study, the last severe flood event in the Austrian Lech Valley in 2005 was simulated to test the performance of various damage functions for the residential sector. In addition to common stage-damage curves, new functions were derived from empirical flood loss data collected in the aftermath of recent flood events in the neighboring Germany. Furthermore, a multi-parameter flood loss model for the residential sector was adapted to the study area and also evaluated by official damage data. The analysis reveals that flood loss functions derived from related and homogenous regions perform considerably better than those from more heterogeneous datasets. To illustrate the effect of model choice on the resulting uncertainty of damage estimates, the current flood risk for residential areas was assessed. In case of extreme events like the 300 yr flood, for example, the range of losses to residential buildings between the highest and the lowest estimates amounts to a factor of 18, in contrast to properly validated models with a factor of 2.3. Even if the risk analysis is only performed for residential areas, more attention should be paid to flood loss assessments in future. To increase the reliability of damage modeling, more loss data for model development and validation are needed.


2019 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Elisawati Elisawati ◽  
Deasy Wahyuni ◽  
Adi Arianto

The order of traffic on the road is very important for motorists on the highway, the lack of awareness of motor vehicle users and the poor drivers of traffic discipline make the level of traffic violations in driving on the highway always increase so that the number of ticket data received by the Dumai District Court. This research was conducted to analyze and classify data violations using the k-means method to facilitate knowing the types of violations that are often violated by vehicle users. The attributes to be analyzed are the types of violations and types of vehicles. The test was carried out using the Rapidminer 5 application where the data tested was data from the Dumai District Court on December 2017, as many as 616 violations. Central cluster data consists of 3 clusters, namely C1 = Many, C2 = moderate and C3 = few who commit traffic violations. So the results of the data obtained where C1 produces 1 data, C2 gets as much as 4 data and C3 as many as 7 data. Where the type of violation that is often violated is the type of violation that does not use a helmet and the type of vehicle is a motorcycle. From the results of this study can be used or can be followed up with the holding of socialization to reduce the number of traffic violations. Keywords: Clustering Analysis, K-Means, Traffic Violations, Rapidminer


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