Work unit and private community in the evolution of urban planning in contemporary China

2017 ◽  
Vol 17 (4) ◽  
pp. 533-550 ◽  
Author(s):  
Feng Deng

Built on theories about the hold-up problem in New Institutional Economics, this article analyzes the evolution of urban planning in contemporary China from an institutional perspective. In particular, it focuses on two phenomena: work unit in the planned economy and the large-scale growth of private communities in the market economy. I argue that the hold-up problem in urban land use still exists in a planned economy and asks for the integration of de facto property owner and local public goods provider. Land use control was thus mostly conducted by the work unit. Urban planning in contemporary China has always been planning for government rather than for the public. This leads to great uncertainty in land use and, consequently, the hold-up problem. Widespread emergence of private communities in the Chinese city is the response of the market to the hold-up problem that arises from the nature of Chinese governmental planning.

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
D. Amarsaikhan ◽  
V. Battsengel ◽  
E. Egshiglen ◽  
R. Gantuya ◽  
D. Enkhjargal

The aim of this study is to analyze the urban land use changes occurred in the central part of Ulaanbaatar, the capital city of Mongolia, from 1930 to 2008 with a 10-year interval using geographical information system (GIS) and very high-resolution remote sensing (RS) data sets. As data sources, a large-scale topographic map, panchromatic and multispectral Quickbird images, and TerraSAR synthetic aperture radar (SAR) data are used. The primary urban land use database is developed using the topographic map of the study area and historical data about buildings. To extract updated land use information from the RS images, Quickbird and TerraSAR images are fused. For the fusion, ordinary and special image fusion techniques are used and the results are compared. For the final land use change analysis and RS image processing, ArcGIS and Erdas imagine systems installed in a PC environment are used. Overall, the study demonstrates that within the last few decades the central part of Ulaanbaatar city is urbanized very rapidly and became very dense.


2014 ◽  
Vol 21 (1) ◽  
pp. 39-56 ◽  
Author(s):  
Maria-Lluïsa Marsal-Llacuna ◽  
Maria-Beatriz López-Ibáñez

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Jaime Díaz-Pacheco ◽  
Juan Carlos García-Palomares

The middle of 2007 saw the beginning of a worldwide financial crisis that led to a sharp reduction in investment based on construction and urban development. This new situation is generating a new process, characterised by a slowdown that has almost reached a standstill when compared with the frenzied development of previous decades. In order to analyse these processes, this study examines urban land use changes and the urban growth rate and spatial dynamics of the metropolitan region of Madrid. The analysis has been carried out on a large scale between two periods (2000–2006 and 2006–2009) using a regional land use geodatabase. The results show the changes in the urban land use dynamics that took place over these two periods that could characterise the cities of Mediterranean Europe, where contrarily to the general pattern in Europe built-up areas are combining scattered built-up areas with new aggregated compact developments.


Author(s):  
J. R. Bergado ◽  
C. Persello ◽  
A. Stein

Abstract. Updated information on urban land use allows city planners and decision makers to conduct large scale monitoring of urban areas for sustainable urban growth. Remote sensing data and classification methods offer an efficient and reliable way to update such land use maps. Features extracted from land cover maps are helpful on performing a land use classification task. Such prior information can be embedded in the design of a deep learning based land use classifier by applying a multitask learning setup—simultaneously solving a land use and a land cover classification task. In this study, we explore a fully convolutional multitask network to classify urban land use from very high resolution (VHR) imagery. We experimented with three different setups of the fully convolutional network and compared it against a baseline random forest classifier. The first setup is a standard network only predicting the land use class of each pixel in the image. The second setup is a multitask network that concatenates the land use and land cover class labels in the same output layer of the network while the other setup accept as an input the land cover predictions, predicted by a subpart of the network, concatenated to the original input image patches. The two deep multitask networks outperforms the other two classifiers by at least 30% in average F1-score.


Author(s):  
S. Khademi ◽  
M. Norouzi ◽  
M. Hashemi

<p><strong>Abstract.</strong> Determining the manner of land-use and the spatial structure of cities on the one hand, and the economic value of each piece of land on the other hand, land-use planning is always considered as the main part of urban planning. In this regard, emphasizing the efficient use of land, the sustainable development approach has presented a new perspective on urban planning and consequently on its most important pillar, i.e. land-use planning. In order to evaluate urban land-use, it has been attempted in this paper to select the most significant indicators affecting urban land-use and matching sustainable development indicators. Due to the significance of preserving ancient monuments and the surroundings as one of the main pillars of achieving sustainability, in this research, sustainability indicators have been selected emphasizing the preservation of ancient monuments and historical observance of the city of Susa as one of the historical cities of Iran. It has also been attempted to integrate these criteria with other land-use sustainability indicators. For this purpose, Kernel Density Estimation (KDE) and the AHP model have been used for providing maps displaying spatial density and combining layers as well as providing final maps respectively. Moreover, the rating of sustainability will be studied in different districts of the city of Shush so as to evaluate the status of land sustainability in different parts of the city. The results of the study show that different neighborhoods of Shush do not have the same sustainability in land-use such that neighborhoods located in the eastern half of the city, i.e. the new neighborhoods, have a higher sustainability than those of the western half. It seems that the allocation of a high percentage of these areas to arid lands and historical areas is one of the main reasons for their sustainability.</p>


Author(s):  
Raquel Rolnik

Este trabalho refere-se aos resultados da pesquisa Impacto da aplicação de novos instrumentos urbanísticos em cidades do Estado de São Paulo. Coloca-se a pergunta: passados dez anos da promulgação da Constituição — que inclui em seu texto uma série de novos instrumentos urbanísticos comprometidos com a idéia de ampliação do acesso à terra e moradia por parte do setor popular —, o que ocorreu nos municípios brasileiros com mais de 20.000 habitantes em relação a Planos Diretores e instrumentos urbanísticos previstos por lei? Qual é o perfil e a forma de elaboração desses planos? Os novos instrumentos, se adotados, possibilitam novas formas de administrar os conflitos urbanos? A pesquisa levanta a situação da legislação nos municípios, por meio de um questionário. Elabora o conceito de exclusão territorial, significando que parcela da população vive em condições de precariedade no que diz respeito à infra-estrutura urbana e às condições de habitabilidade do local de moradia. Em um segundo momento, realizaram-se estudos de caso em três municípios — Guarujá, Diadema e Jaboticabal —, aprofundando-se o estudo das relações entre os diferentes modelos econômicos e os processos de regulação urbanística.Palavras-chave: planejamento urbano; regulação urbanística; reforma urbana; urbanismo. Abstract: This paper refers to the results of the research project Effects of the Implementation of New Land Use Controls in the Cities of São Paulo State. It raises the following question: ten years after the introduction of the new Constitution — whose text includes new urban land use controls aimed at increasing land and housing for the poor — what has happened in cities of over 20.000 inhabitants concerning Master Plans and land use regulation procedures? What is the form and quality of the process which has led to these plans? Do the new controls, where in use, allow new ways of managing urban conflicts? The research looks into the current legislation situation in these cities through a series of questions. The concept of territorial exclusion is defined, meaning how much of the local population lives in precarious conditions regarding urban infra-structure and housing conditions. In the second part, three case studies were conducted — in the cities of Guarujá, Diadema and Jaboticabal — studying more thoroughly the relations between different local economic models, land regulation processes and territorial exclusion. Keywords: urban planning; urban planning regulations; urban reform; urbanism.


2017 ◽  
Vol 162 ◽  
pp. 80-91 ◽  
Author(s):  
David J. Sharley ◽  
Simon M. Sharp ◽  
Stephen Marshall ◽  
Katherine Jeppe ◽  
Vincent J. Pettigrove

Author(s):  
M. Hussain ◽  
D. Chen

Buildings, the basic unit of an urban landscape, host most of its socio-economic activities and play an important role in the creation of urban land-use patterns. The spatial arrangement of different building types creates varied urban land-use clusters which can provide an insight to understand the relationships between social, economic, and living spaces. The classification of such urban clusters can help in policy-making and resource management. In many countries including the UK no national-level cadastral database containing information on individual building types exists in public domain. In this paper, we present a framework for inferring functional types of buildings based on the analysis of their form (e.g. geometrical properties, such as area and perimeter, layout) and spatial relationship from large topographic and address-based GIS database. Machine learning algorithms along with exploratory spatial analysis techniques are used to create the classification rules. The classification is extended to two further levels based on the functions (use) of buildings derived from address-based data. The developed methodology was applied to the Manchester metropolitan area using the Ordnance Survey‟s MasterMap®, a large-scale topographic and address-based data available for the UK.


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