scholarly journals KALIANYAR VERTICAL KAMPONG WITH BEHAVIOR ARCHITECTURE IN JAKARTA

Arsitektura ◽  
2017 ◽  
Vol 14 (1) ◽  
Author(s):  
El Yanno Suminar ◽  
Marsudi Marsudi ◽  
Kusumaningdyah Nurul Handayani
Keyword(s):  
Population Density ◽  
Spatial Structure ◽  
Urban Areas ◽  
Provincial Government ◽  
Urban Spatial Structure ◽  
Home Base ◽  
Structure Damage ◽  
New Form ◽  
On The Road ◽  
The City

<em>Vertical Kampung Kalianyar design was motivated by data and facts related to the city of Jakarta and some issue as a city that has problems of population density.</em> <em>Jakarta is not the only city that has a population density problems, almost all cities in Indonesia have similar problems against the background of the dominance of urbanization which resulted in the high number of population in urban areas. Most of the problems of population density pose problems of urban spatial structure damage caused by the emergence of slum areas or slums in urban areas some point including the city of Jakarta.</em> <em>Kampung is one of the many forms of settlement which is located in the slum area and pay attention to the spatial structure of the city badly. Kampung Kalianyar is one of the densely populated area in the city of Jakarta which has poor spatial structure. On the other hand, as the settlements, Kampung Kalianyar has its own values and character are formed from several things, one of which is a sense of togetherness with the similarity of the social level. Problem of density in Jakarta has tried to be solved by Jakarta Provincial Government with rumah susun program to accommodate flats dense settlements, but it is considered less than optimal because of the character of residents of rumah susun is not contained in it. This is the destination of Kampung Vertical Kalianyar with the basis of behavior architecture as design concept to accommodate the character of Kampung Kalianyar with methods of observation and mapping that is performed directly in Kampung Kalianyar to be applied into a new form named Kampung Vertical Kalianyar. Results from analysis through observation and mapping will be transformed into a new form as knwon as Kampung Vertical Kalianyar which is able to accommodate all the character and behavior of Kampung Kalianyar like life on the road space which has been the character and social value of Kampung Kalianyar and the units of home base enterprises in every floor level.</em>

scholarly journals Lack of Spatial Approach in Urban Density Policies: The Case of the Master Plan of Tehran

2020 ◽  
Vol 12 (18) ◽  
pp. 7285
Author(s):  
Mostafa Ghadami ◽  
Andreas Dittmann ◽  
Taher Safarrad
Keyword(s):  
Spatial Structure ◽  
Statistical Tests ◽  
Area Ratio ◽  
Master Plan ◽  
Urban Spatial Structure ◽  
Floor Area Ratio ◽  
Spatial Approach ◽  
Arc Gis ◽  
Geographic Weighted Regression ◽  
The City

This paper aims to investigate the approach of density policies in the Tehran Master Plan and the consequences of ignoring the macro spatial scale in density policymaking. In this study, the floor area ratio (FAR) regulations of the Master Plan of Tehran (which are defined by specific land use zones) are used as one of the main densification tools. Then, employing the Getis–Ord Local G and geographic weighted regression (GWR) statistical tests, Arc GIS 10.3 software, and population and employment variables, the spatial outcomes of the Master Plan density policies were modeled. In this research, both population and employment (job) variables and their relationship were utilized to depict the urban spatial structure of the city. The model will show the resulting spatial structure of Tehran if the densification policies of the plan are realized. The findings of the research are surprising, as they indicate that the Master Plan’s densification policies would worsen the current spatial structure by disrupting the current population and employment spatial structure and neglecting their logical relationships. In fact, the Master Plan would change the current polycentric structure into a highly dispersed structure due to its densification approach, which is mainly based on the neighborhood micro scale.

scholarly journals Research on the Simulation Application of Data Mining in Urban Spatial Structure

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jun Zhang ◽  
Xin Sui ◽  
Xiong He
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Spatial Structure ◽  
Urban Space ◽  
Simulation Analysis ◽  
Sustainable Urban Development ◽  
Urban Spatial Structure ◽  
Urban Centers ◽  
Urban Research ◽  
The City

Data mining and simulation of the Internet of things (IOT) have been applied more and more widely in the rapidly developing urban research discipline. Urban spatial structure is an important field that needs to be explored in the sustainable urban development, while data mining is relatively rare in the research of urban spatial structure. In this study, 705,747 POI (Point of Interest) were used to conduct simulation analysis of western cities in China by mining the data of online maps. Through kernel density analysis and spatial correlation index, the distribution and aggregation characteristics of different types of POI data in urban space were analyzed and the spatial analysis and correlation characteristics among different functional centers of the city were obtained. The spatial structure of the city is characterized by “multicenters and multigroups”, and the distribution of multicenters is also shown in cities with different functional types. The development degree of different urban centers varies significantly, but most of them are still in their infancy. Data mining of Internet of things (IOT) has good adaptability in city simulation and will play an important role in urban research in the future.

States of Urban Spatial Structure

1979 ◽  
Vol 11 (1) ◽  
pp. 23-34 ◽  
Author(s):  
G I Thrall
Keyword(s):  
Spatial Structure ◽  
Equilibrium Model ◽  
Urban Fringe ◽  
Urban Spatial Structure ◽  
Spatial Equilibrium ◽  
Numerical Illustration ◽  
Spatial Equilibrium Model ◽  
Two Factors ◽  
Public Economy ◽  
The City

A spatial-equilibrium model of a local public economy is developed in four settings. Each setting is distinguished by two factors: whether the city is ‘open’ or ‘closed’, and the method used to determine the urban fringe. The four settings are contrasted by use of a numerical illustration.

scholarly journals Upaya Mendorong Kolaborasi menuju Pengembangan Struktur Ruang Bernuansa Knowledge Based di Era Disrupsi

2020 ◽  
Vol 22 (4) ◽  
pp. 643-662
Author(s):  
Ridwan Sutriadi ◽  
Ahmad Zaini Miftah
Keyword(s):  
Spatial Structure ◽  
Urban Areas ◽  
Urban Expansion ◽  
Lessons Learned ◽  
Urban Spatial Structure ◽  
Spatial Structures ◽  
Literature Study ◽  
Mutual Cooperation ◽  
Knowledge Based ◽  
The 1960S

This paper explores the development of multi centre urban spatial structures, as the development of three classical models, namely monocentric, sectoral, and multiple nuclei. By implementing a literature study method on studies of the global development of urban spatial structures which began from the 1960s until the 2000s era, lessons learned for Indonesia can be taken in promoting sustainable urban spatial structure.  The thought of developing urban spatial structure starts from the awareness of urban expansion beyond its administrative boundaries in the 1960s (urban field), the importance of the systemic context in the development of urban spatial structures (1970s), the systemic concept must be supported by the collaboration of mutual cooperation among city’s functions in the concept of inter-city networks (1980s), spatial planning integration between core cities and suburbs which emerge urban areas (1990s). In 2000s era, the development of polycentric could be located in one urban area or among urban areas, also highly connected with innovation as a reflection of the use of knowledge for urban centers (2010s era).  During the decades, it can be concluded that multi city centers lead to the enrichment of urban function in the sense of public interest and common concern, especially symbolizes continuing knowledge based innovation which could interfere market and existing values (disruption era),  so collaboration among city centers is needed to perform a sustainable synergic urban spatial structure.

scholarly journals SUSTAINABILITY LEVEL OF DENSELY POPULATED AREA: JATIMULYO URBAN COMMUNITIES, LOWOKWARU DISTRICT, MALANG CITY

2019 ◽  
Vol 21 (4) ◽  
pp. 718
Author(s):  
S Haryani
Keyword(s):  
Urban Communities ◽  
Urban Areas ◽  
Urban Spatial Structure ◽  
City Development ◽  
Large Cities ◽  
Mixed Use ◽  
Big City ◽  
Calculation Results ◽  
Population Urbanization ◽  
The City

Large cities still peak the interests of some Indonesian society. Big city development as the center of economic activity is a powerful pull for society, influencing high workforce from both inside and outside of the city, causing a strong current of urbanization. One main problem that always accompanies urban areas development is density population. Urbanization has caused a very rapid explosion in the city population; one implication is the clumping workforce in large Indonesian cities. The high number of people who choose to settle in the city increase the number of both legal and illegal settlements. In the high-density settlement, many houses are not liveable and irregular. The densely populated settlements find many houses unfit for habitation and irregular. The research aims to formulate the sustainability level of Urban communities, Lowokwaru District, Malang City using quantitative method through sustainability level calculation. Jatimulyo Urban Communities is measured by the sustainability criteria of density, diversity, mixed-use, and compactness to formulate the related sustainable urban spatial structure. Interpretation of the calculation results references similar research. The calculation result shows that Jatimulyo Urban Communities is included in the moderate sustainability level, where density is moderate (101.1-200 people/ha), has a moderate building density (20-40 buildings/ha), has a random diversity level (1.0) and an entropy index (0.51), and compactness is near perfect inequality (Gini Coefficient 0.99).

scholarly journals The Relationship between Urban Population Density Distribution and Land Use in Guangzhou, China: A Spatial Spillover Perspective

2021 ◽  
Vol 18 (22) ◽  
pp. 12160
Author(s):  
Yisheng Peng ◽  
Jiahui Liu ◽  
Tianyao Zhang ◽  
Xiangyang Li
Keyword(s):  
Land Use ◽  
Population Density ◽  
Spatial Structure ◽  
Density Distribution ◽  
Rapid Growth ◽  
Urban Population ◽  
Spillover Effects ◽  
Urban Spatial Structure ◽  
Direct Effects ◽  
Spatial Spillover

Urban population density distribution contributes towards a deeper understanding of peoples’ activities patterns and urban vibrancy. The associations between the distribution of urban population density and land use are crucial to improve urban spatial structure. Despite numerous studies on population density distribution and land use, the significance of spatial dependence has attained less attention. Based on the Baidu heat map data and points of interests data in the main urban zone of Guangzhou, China, the current paper first investigated the spatial evolution and temporal distribution characteristics of urban population density and examined the spatial spillover influence of land use on it through spatial correlation analysis methods and the spatial Durbin model. The results show that the urban population density distribution is characterized by aggregation in general and varies on weekends and weekdays. The changes in population density within a day present a trend of “rapid growth-gentle decline-rapid growth-rapid decline”. Furthermore, the spatial spillover effects of land use exist and play the same important roles in population density distribution as the direct effects. Additionally, different types of land use show diverse direct effects and spatial spillover effects at various times. These findings suggest that balancing the population density distribution should consider the indirect effect from neighboring areas, which hopefully provide implications for urban planners and policy makers in utilizing the rational allocation of public resources and regarding optimization of urban spatial structure.

Modeling the Change of Urban Spatial Structure: Use Interzonal Travel Data to Estimate Urban Growth and Expansion by Hierarchical Cluster Analyses

2018 ◽  
pp. 376-408
Author(s):  
Darcin Akin ◽  
Serdar Alasalvar
Keyword(s):  
Spatial Structure ◽  
Urban Growth ◽  
Hierarchical Cluster ◽  
Circulation Pattern ◽  
Transportation System ◽  
Urban Spatial Structure ◽  
Economic Activities ◽  
The City ◽  
Hierarchical Cluster Analyses

The Urban spatial structure is affected by spatial interactions among various activity locations, and land uses in the city over the transportation system. Each city has its unique circulation pattern of passengers and freight due to its unique geographic conditions and the distribution of locations of economic activities. In that sense, it is claimed in this chapter per the authors that urban spatial structure can be modeled using interzonal (O/D) travel data. Thus, the chapter presents a case study of modeling spatial structures developed by employing Hierarchical Cluster Analysis (HCA) using travel pattern data for current and future scenarios. As a result, urban growth and expansion were estimated based on the level of interaction (represented by distance or similarity modeled based on trip interchanges) over the transportation system in terms of population and/or employment increases. The interaction was described by a measure of distance or similarity, modeled with respect to trip interchanges.

Spatial consequences of urban densification policy: Floor-to-area ratio policy in Tehran, Iran

2017 ◽  
Vol 46 (4) ◽  
pp. 626-647 ◽  
Author(s):  
Mostafa Ghadami ◽  
Peter Newman
Keyword(s):  
Spatial Structure ◽  
Hot Spot ◽  
Distribution Patterns ◽  
City Centre ◽  
Master Plan ◽  
Urban Spatial Structure ◽  
Activity Distribution ◽  
Financial Benefits ◽  
Arc Gis ◽  
The City

The purpose of this paper is to investigate the effect of the urban densification policies made after the Islamic Revolution on the urban spatial structure of Tehran as the most important metropolis in Iran. The Hot Spot approach based on the Getis Ord Local G statistical test and Arc GIS 10.2 software was employed in this study. The advantage of the Geo-statistic technique used in this study is that this model does not require the exact location of the city centre to map and determine its spatial structure. The results show that the spatial structure of Tehran was affected by the non-spatial densification policies for 30 years (until Tehran’s Master Plan in 2007). Furthermore, these policies were greatly dependent on the financial benefits from the sale of the FAR permission and fines related to the ignorance of the lawful regulations. There is a spatial imbalance between the population and activity distribution patterns in the structure of Tehran. However, the negative spatial consequences of the densification policies are declining capacity of the city centre and the inner wards in retaining the population, and growing population density in the northern outer wards of Tehran.

scholarly journals Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China

2020 ◽  
Vol 9 (2) ◽  
pp. 92 ◽  
Author(s):  
Chenyu Lu ◽  
Min Pang ◽  
Yang Zhang ◽  
Hengji Li ◽  
Chengpeng Lu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Structure ◽  
Urban Space ◽  
Large Scale ◽  
Central City ◽  
Central Area ◽  
Urban Spatial Structure ◽  
Distribution Characteristics ◽  
Geographical Elements ◽  
The City

The study of urban spatial structure is currently one of the most popular research fields in urban geography. This study uses Lanzhou, one of the major cities in Northwest China, as a case area. Using the industry classification of POI data, the nearest-neighbor index, kernel density estimation, and location entropy are adopted to analyze the spatial clustering-discrete distribution characteristics of the overall economic geographical elements of the city center, the spatial distribution characteristics of the various industry elements, and the overall spatial structure characteristics of the city. All of these can provide a scientific reference for the sustainable optimization of urban space. The urban economic geographical elements generally present the distribution trend of center agglomeration. In respect of spatial distribution, the economic geographical elements in the central urban area of Lanzhou have obvious characteristics of central agglomeration. Many industrial elements have large-scale agglomeration centers, which have formed specialized functional areas. There is a clear “central–peripheral” difference distribution in space, with an obvious circular structure. Generally, tertiary industry is distributed in the central area, and secondary industry is distributed in the peripheral areas. In general, a strip-shaped urban spatial structure with a strong main center, weak subcenter and multiple groups is present. Improving the complexity of urban functional space is an important goal of spatial structure optimization.

Sign in / Sign up

Export Citation Format

Share Document