scholarly journals Analysis of Urban Spatial Structure based on Index Superposition and Color Distance Calculation: An Example based on the City of Honghu

2021 ◽  
Vol 1802 (4) ◽  
pp. 042108
Author(s):  
Rongfei Gu ◽  
Fan Zhang ◽  
Wei Huang
Keyword(s):  
Spatial Structure ◽  
Urban Spatial Structure ◽  
Distance Calculation ◽  
The City

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.

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.

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 Town of Zhovkva (Żółkiew) in western Ukraine – an example of urban complex built at the end of the 16th century on the concept of the renaissance “ideal town”

2018 ◽  
Vol 14 (2) ◽  
pp. 7-20
Author(s):  
Mykola Bevz
Keyword(s):  
Spatial Structure ◽  
Urban Studies ◽  
16Th Century ◽  
Urban Spatial Structure ◽  
Specific Nature ◽  
Western Ukraine ◽  
Urban Complex ◽  
Late Renaissance ◽  
The City ◽  
The Town

The town of Zhovkva (Żółkiew) belongs to the late Renaissance foundations of private resident cities in Halychyna in the late 16th century. Urban-spatial structure of the town was designed according to the Renaissance ideal city. The city consisted of two conjugated parts: the owner’s castle and the fortified downtown. The combination of these two parts was of a specific nature – when the central square of the town is combined with the facade of the castle complex. On the base of the historical and urban studies presented the hypothesis that town of Zhovkva (Żółkiew) is an unique example of late Renaissance urbanism. The start of town build was in 1594 according to a project based on the concept of “ideal town”. We are thinking, that the author of the project and plan of town was Paolo Clamensi – Italian architect, worked in Lviv at the end of 16th century. The towns have a well-preserved original Renaissance planning structure and a number of architectural monuments that are connected with it. Reconstruction of the original historical town plan allows us to express the hypothesis of its similarity to the projects of cities published in the treatise of the Italian architect of the 16th century Pietro Cataneo.

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

2016 ◽  
pp. 168-202 ◽  
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.

The Process and Characteristics of Urban Spatial Structure Research in China

2014 ◽  
Vol 1073-1076 ◽  
pp. 1482-1485
Author(s):  
Ye Tian ◽  
Qi Zu ◽  
Jing Jing Yuan
Keyword(s):  
Spatial Structure ◽  
Space Distribution ◽  
Urban Spatial Structure ◽  
Social Culture ◽  
Core Issue ◽  
The Times ◽  
Material Energy ◽  
The City ◽  
Research Author ◽  
Structure Research

Urban spatial structure is the city in a variety of material, energy and social culture accumulation in space distribution and combination of the state. It is also the core issue of urban spatial development. Author studies China's urban spatial structure research, and find that China's urban spatial structure research mainly concentrated three times: 1980’s, 1990’s and since 2000.Research emphasis of each period is different. Through the process of urban spatial structure research, author sum up that the research in China has the following features: emphasis on urban spatial structure, advancing with The Times, etc. Authors hope this article can have the implications about the future of China's urban spatial structure research.

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