Towards a Smart Neighbourhoods Simulated Model

2020 ◽  
pp. 114-125
Author(s):  
Nada M. Alhakkak
Keyword(s):  
Virtual Reality ◽  
Urban Area ◽  
Clustering Algorithm ◽  
Open Spaces ◽  
New Model ◽  
Simulated Model ◽  
Religious Buildings

The literature generally describes a conventional neighbourhood as an urban area that consists of houses, schools, shopping, religious buildings, and open spaces. This work focuses on the challenge of establishing smart neighbourhoods. The contribution here is in presenting a new model for a smart neighbourhood that contains two frameworks. The first framework is related to input specific parameters from the user and gets reports for timetable, map, and materials. The second framework uses the virtual reality aspect and compound of multiple layers. The concluding remarks figured out that the importance of using the model's work depends on reusing and ABC clustering algorithm.

scholarly journals Development of the city-scale chemistry transport model CityChem-EPISODE and its application to the city of Hamburg

2018 ◽  
Author(s):  
Matthias Karl
Keyword(s):  
Air Quality ◽  
Urban Area ◽  
Transport Model ◽  
Dispersion Model ◽  
Temporal Correlation ◽  
Urban Atmosphere ◽  
Aerosol Formation ◽  
Urban Background ◽  
New Model ◽  
The City

Abstract. This paper describes the City-scale Chemistry (CityChem) extension of the urban dispersion model EPISODE with the aim to enable chemistry/transport simulations of multiple reactive pollutants on urban scales. The new model is called CityChem-EPISODE. The primary focus is on the simulation of urban ozone concentrations. Ozone is produced in photochemical reaction cycles involving nitrogen oxides (NOx) and volatile organic compounds (VOC) emitted by various anthropogenic activities in the urban area. The performance of the new model was evaluated with a series of synthetic tests and with a first application to the air quality situation in the city of Hamburg, Germany. The model performs fairly well for ozone in terms of temporal correlation and bias at the air quality monitoring stations in Hamburg. In summer afternoons, when photochemical activity is highest, modelled median ozone at an inner-city urban background station was about 30 % lower than the observed median ozone. Inaccuracy of the computed photolysis frequency of nitrogen dioxide (NO2) is the most probable explanation for this. CityChem-EPISODE reproduces the spatial variation of annual mean NO2 concentrations between urban background, traffic and industrial stations. However, the temporal correlation between modelled and observed hourly NO2 concentrations is weak for some of the stations. For daily mean PM10, the performance of CityChem-EPISODE is moderate due to low temporal correlation. The low correlation is linked to uncertainties in the seasonal cycle of the anthropogenic particulate matter (PM) emissions within the urban area. Missing emissions from domestic heating might be an explanation for the too low modelled PM10 in winter months. Four areas of need for improvement have been identified: (1) dry and wet deposition fluxes; (2) treatment of photochemistry in the urban atmosphere; (3) formation of secondary inorganic aerosol (SIA); and (4) formation of biogenic and anthropogenic secondary organic aerosol (SOA). The inclusion of secondary aerosol formation will allow for a better sectorial attribution of observed PM levels. Envisaged applications of the CityChem-EPISODE model are urban air quality studies, environmental impact assessment, sensitivity analysis of sector-specific emission and the assessment of local and regional emission abatement policy options.

The Socioeconomic Structure of an Urban Area

1972 ◽  
Vol 9 (1) ◽  
pp. 15-18 ◽  
Author(s):  
Jerome B. Kernan ◽  
Grady D. Bruce
Keyword(s):  
Urban Area ◽  
Clustering Algorithm ◽  
Census Tracts ◽  
Socioeconomic Structure

A clustering algorithm is used to create relatively homogeneous configurations of census tracts. Resultant clusters have geographic and socioeconomic dimensions and are useful for behavioral analyses and managerial research.

scholarly journals Urban expansion: from compact to fragmented form

2019 ◽  
Vol 42 ◽  
pp. e42407
Author(s):  
Mayara Henriques Coimbra ◽  
Gislaine Elizete Beloto
Keyword(s):  
Urban Area ◽  
Urban Form ◽  
Urban Expansion ◽  
The State ◽  
Compact Form ◽  
New Order ◽  
Compact City ◽  
New Model

The new urban order in the territorialization of cities, in general, is based on the principles of an ever more fragmented and dispersed growth across the territory. However, the growth of the urban area of Maringá diverges from this new order, retaining its compact form. In this study, the urban area of Maringá is composed of the cities of Maringá, Sarandi and Paiçandu in the State of Paraná, Brazil. The objectives of this article are to define the urban form of Maringá considering the variables compact city, fragmented city and disperse city and to identify the periods of urban expansion for each variable. The timeline of this study begins with the implantation of the cities in the 1940s and continues until the year 2016, since the urban area been mapped in a decennial diachronic series. Originally compact, the urban area fragments as it expands, in a movement that continues until the 2000s. After that, the occupation of its center predominates, making it compact again. Given these points, the beginning of a new cycle or new model of urban expansion is evident for Maringá.

scholarly journals Intuitionistic Fuzzy Time Series Forecasting Model Based on Intuitionistic Fuzzy Reasoning

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Ya’nan Wang ◽  
Yingjie Lei ◽  
Xiaoshi Fan ◽  
Yi Wang
Keyword(s):  
Time Series ◽  
Clustering Algorithm ◽  
Intuitionistic Fuzzy Set ◽  
Time Series Forecasting ◽  
Approximate Reasoning ◽  
Fuzzy Time Series ◽  
Stock Index ◽  
Forecasting Model ◽  
New Model ◽  
Intuitionistic Fuzzy

Fuzzy sets theory cannot describe the data comprehensively, which has greatly limited the objectivity of fuzzy time series in uncertain data forecasting. In this regard, an intuitionistic fuzzy time series forecasting model is built. In the new model, a fuzzy clustering algorithm is used to divide the universe of discourse into unequal intervals, and a more objective technique for ascertaining the membership function and nonmembership function of the intuitionistic fuzzy set is proposed. On these bases, forecast rules based on intuitionistic fuzzy approximate reasoning are established. At last, contrast experiments on the enrollments of the University of Alabama and the Taiwan Stock Exchange Capitalization Weighted Stock Index are carried out. The results show that the new model has a clear advantage of improving the forecast accuracy.

scholarly journals RENCANA PENATAAN AREA FASILITAS PENUNJANG YANG BERORIENTASI PADA AKTIVITAS BANDAR UDARA

2020 ◽  
Vol 1 (2) ◽  
pp. 2169
Author(s):  
Rudi Suhardi ◽  
Parino Rahardjo ◽  
Sylvie Wirawati
Keyword(s):  
Policy Analysis ◽  
Urban Area ◽  
Best Practice ◽  
Golf Courses ◽  
Open Spaces ◽  
Practice Location ◽  
The World ◽  
Support Area ◽  
The City ◽  
Oriented Approach

Soekarno-Hatta Airport is one of the Indonesian International airport located in the city of Tangerang with the top 20 busiest from 2010 to 2017 in the world, the area of facilities supporting the activities of Soekarno Hatta Airport which is set on Plan layout of Tangerang City area and plan Detail layout of urban area airport.The airport support area is an area that has facilities that directly and indirectly support airport activities, such as air aircraft workshop facilities, warehousing, sports, lodging, shops, restaurants, Golf courses, green open spaces, parking, leisure, and offices.But the Area that has been designated as a supporting facility does not work properly and maximally, so it needs to be rearranged to function properly.The authors use 5 methods of analysis, namely policy analysis, best practice, Location & site, market, and the need for space to produce a proposal to plan the arrangement of area facilities supporting Soekarno Hatta Airport with an Airport Oriented approach Activities.AbstrakBandara Soekarno Hatta adalah salah satu Bandara International Indonesia yang terletak di Kota Tangerang dengan peringkat 20 besar tersibuk sejak tahun 2010 hingga 2017 di dunia, area fasilitas penunjang aktivitas Bandara Soekarno Hatta yang ditetapkan pada Rencana Tata Ruang Wilayah Kota Tangerang dan Rencana Detail Tata Ruang Bagian Wilayah Perkotaan Bandara. Area fasilitas penunjang bandar udara adalah area yang memiliki fasilitas-fasilitas yang secara langsung dan tidak langsung menunjang kegiatan bandar udara, seperti fasilitas perbengkelan pesawat udara, pergudangan, olah raga, penginapan, toko, restoran, lapangan golf, ruang terbuka hijau, perparkiran, rekreasi, dan perkantoran. Namun Area yang telah ditetapkan sebagai fasilitas penunjang tidak berfungsi dengan seharusnya dan maksimal, sehingga perlu dilakukan penataan kembali agar bisa berfungsi dengan semestinya. Penulis menggunakan 5 metode analisis, yaitu analisis kebijakan, best practice, lokasi & tapak, pasar, dan kebutuhan ruang untuk menghasilkan usulan rencana penataan area fasilitas penunjang Bandara Soekarno Hatta dengan pendekatan Airport Oriented Activities.

scholarly journals IMPROVED MODEL-BASED POLARIMETRIC DECOMPOSITION USING THE POlINSAR SIMILARITY PARAMETER

2016 ◽  
Vol XLI-B7 ◽  
pp. 847-850
Author(s):  
H. Latrache ◽  
M. Ouarzeddine ◽  
B. Souissi
Keyword(s):  
Urban Area ◽  
Similarity Parameter ◽  
Volume Scattering ◽  
New Approach ◽  
New Model ◽  
Decomposition Scheme ◽  
Volume Model ◽  
Model Based ◽  
Improved Model

In this paper, we present a new approach to solve the problem of volume scattering ambiguity in urban area, for that we propose a volume model based on the polarimetric interferometric similarity parameter (PISP) . The new model is more adaptive and fits better with both forest and oriented built-up areas. Thereby, a new model-based polarimetric decomposition scheme is developed. To test the performance of the proposed method ESAR PolInSAR L bande data of Oberpfaffenhofen, Germany is used. Comparison experiments show that the proposed method gives good results, since all the oriented built-up areas are well discriminated as double or odd bounce structures.

scholarly journals A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms

2021 ◽  
Vol 7 ◽  
pp. e534
Author(s):  
Kristoko Dwi Hartomo ◽  
Yessica Nataliani
Keyword(s):  
Time Series ◽  
Clustering Algorithm ◽  
Time Series Data ◽  
Mean Squared Error ◽  
Time Series Forecasting ◽  
Series Data ◽  
Improvement Rate ◽  
New Model ◽  
Average Improvement ◽  
Proposed Model

This paper aims to propose a new model for time series forecasting that combines forecasting with clustering algorithm. It introduces a new scheme to improve the forecasting results by grouping the time series data using k-means clustering algorithm. It utilizes the clustering result to get the forecasting data. There are usually some user-defined parameters affecting the forecasting results, therefore, a learning-based procedure is proposed to estimate the parameters that will be used for forecasting. This parameter value is computed in the algorithm simultaneously. The result of the experiment compared to other forecasting algorithms demonstrates good results for the proposed model. It has the smallest mean squared error of 13,007.91 and the average improvement rate of 19.83%.

scholarly journals RUANG TERBUKA HIJAU DALAM PERSPEKTIF JASA EKOSISTEM (STUDI KASUS RUANG TERBUKA HIJAU KAWASAN PERKOTAAN YOGYAKARTA)

2019 ◽  
Author(s):  
GISKA PARWA MANIKASARI
Keyword(s):  
Ecosystem Services ◽  
Urban Area ◽  
Ecosystem Service ◽  
Open Space ◽  
Urban Forest ◽  
Urban Forests ◽  
Pairwise Comparison ◽  
Open Spaces ◽  
City Parks ◽  
Highest Weight

Green Open Spaces have a variety of ecosystem services of which can be utilized by society. This study aims are to identify green open space criteria value for determining ecosystem services, to study the conditions and distributions of ecosystem service potentials of Green Open Spaces in Urban Area of Yogyakarta, and optimize Green Open Spaces in the Urban Area of Yogyakarta in the perspective of ecosystem services. The research locations included Green Open Spaces of Urban Area of Yogyakarta consisting of urban forests type, city parks, river borders, and road greenbelts, comprising of twelve research locations. The identification of the criteria for Green Open Spaces was done using the expert judgment and pairwise comparison methods resulting in weight values. In each observation location, a plot was made for monitoring the conditions of each Green Open Space criterion using a score. The data from the field and the assessment by experts were analyzed by means of scoring analysis to find out the level of ecosystem services in each research location and they were further descriptively and deductively analyzed by taking account of the area allotment and the available regulations to attain the conditions of Green Open Spaces with optimal ecosystem services. The results of the study show that of the sixteen criteria under study, each plays a role in ecosystem services. The values of ecosystem services of Green Open Spaces in KPY show different values for each type of Green Open Spaces. In general, the types of urban forests, including Urban Forest of Arboretum of Faculty of Forestry, Gadjah Mada University, and Arboretum of Gembira Loka Zoo, have ecosystem services in the high category for the eleven ecosystem services, while the types of Green Open Spaces of city parks, including Denggung Park, Gajah Wong Educational Park, and Lalu Lintas Park, and riverbanks, including Code’s riverbank, Gajah Wong’s riverbank, and Winongo’s riverbank, on the average have ecosystem service va lues in the moderate category, and the types of Green Open Spaces of street greenbelts, including greenbelt of Jalan Magelang, greenbelt of Jalan Cik Di Tiro, and greenbelt of Jalan Malioboro, all have ecosystem service values in the low category. Based on the results, optimalize Green Open Spaces in KPY in the perspective of ecosystem services can be done by optimizing each criteria with the highest weight value adjusted to the allotment of each type of Green Open Spaces and the regulations related to Green Open Spaces.

scholarly journals ALIGNING POSITIONING AND NAVIGATION OF SMART MOBILE DEVICES TO AR/VR ENVIRONMENTS

2021 ◽  
Vol XLVI-M-1-2021 ◽  
pp. 347-353
Author(s):  
D. Kaimaris ◽  
T. Roustanis ◽  
I. A. Karolos ◽  
K. Klimantakis ◽  
P. Patias
Keyword(s):  
Virtual Reality ◽  
Virtual Worlds ◽  
Rapid Development ◽  
Smart Devices ◽  
Open Spaces ◽  
Gnss Positioning ◽  
Technological Advances ◽  
Cultural Sites ◽  
Communication Devices ◽  
Smart Mobile

Abstract. Augmented Reality/Virtual Reality (AR/VR) technology offers novel and excited experiences to visitors of cultural sites. Extended recent technological advances in smart communication devices made the connection of the real to the virtual worlds more affordable and effective. In spite of the rapid development and availability of the AR/VR applications to cultural heritage, there still exist gaps and challenges in accurate positioning and navigation of visitors’ smart devices in both out-doors archaeological spaces as well as in in-doors museum spaces. Recent technology smart devices embody GNSS positioning sensors, which in best cases, provide 1-meter positioning accuracies in open spaces, while are unable to work in-doors. Such accuracies and restrictions lead to gaps in fetching visitor’s position in AR environments and mis-positions with regard to the rest AR/VR objects as visualized in smart screens, while the problem gets worse when dealing with real-time videoing, when elapse times and refresh rates lead to additional mispositionings. In this paper, effort is made to present and evaluate the most recent and widely used tools for positioning and navigation of smart devices in in- and out-doors CH sites.

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