Evaluation and zoning of various urban land spaces based on restrictive indicators: the case of Shanghai, China

2017 ◽  
Vol 14 (4) ◽  
pp. 307-317
Author(s):  
Hefeng Wang ◽  
Yuan Cao ◽  
Xinxia Liu ◽  
Yantao Yang
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Industrial Development ◽  
Plate Theory ◽  
Land Development ◽  
Urban Land ◽  
Urban Land Use ◽  
Content Type ◽  
Socio Economic Development ◽  
Short Plate

Purpose Using Shanghai as an example, the purpose of this paper is to perform grade evaluation and zoning for different land use spaces by GIS by identifying the major restrictive factors in current socio-economic development. Design/methodology/approach Based on short plate theory, 11 major restrictive indicators that will restrict socio-economic development in Shanghai are identified, and urban land is divided into four subspaces and the restrictive grade evaluation of urban land subspace is achieved with GIS spatial analysis; then, land development zoning is processed according to the results of the evaluation. Findings In all, 11 major restrictive indicators that will restrict socio-economic development in Shanghai are identified. The restrictive grades of the agricultural production, urban construction and ecological protection subspaces are mainly common, weak and weaker, and the relatively strong restrictive grade of industrial development subspace is mainly concentrated in the more developed industrial districts (counties). The areas of the common and good regions of constructive development and ecological development zones account for 87.4 and 98.3 per cent of each total area, respectively, and urban land still has significant development potential in Shanghai. Originality/value This paper proposes various urban land space evaluations and zoning strategies based on restrictive indicators and perspectives, enriching the ideas and methods of urban land use evaluation.

scholarly journals Urban Land Use Planning Trend and Sustainable Challenges in Socio-Economic Development

2018 ◽  
Vol 37 (2) ◽  
pp. 397-404 ◽  
Author(s):  
Muhammad Yousif Mangi ◽  
◽  
Imtiaz Ahmed Chandio ◽  
Mir Aftab Hussain Talpur ◽  
Fahad Ahmed Shaikh ◽  
...  
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Land Use Planning ◽  
Urban Land ◽  
Urban Land Use ◽  
Socio Economic Development

scholarly journals Urban Sprawl in the Mediterranean Urban Regions in Europe and the Crisis Effect on the Urban Land Development: Madrid as Study Case

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Jaime Díaz-Pacheco ◽  
Juan Carlos García-Palomares
Keyword(s):  
Land Use ◽  
Large Scale ◽  
Land Use Changes ◽  
General Pattern ◽  
Spatial Dynamics ◽  
Land Development ◽  
Urban Land ◽  
Urban Land Use ◽  
Metropolitan Region ◽  
New Situation

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.

scholarly journals Defining the Peri-Urban: A Multidimensional Characterization of Spatio-Temporal Land Use along an Urban–Rural Gradient in Dar es Salaam, Tanzania

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 177
Author(s):  
Saskia Wolff ◽  
Makarius V. Mdemu ◽  
Tobia Lakes
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Land Development ◽  
Urban Land ◽  
Dar Es Salaam ◽  
Urban Land Use ◽  
Spatial Data Analysis ◽  
Spatial Pattern Analysis ◽  
Expert Interviews ◽  
Urban Rural

Highly dynamic peri-urban areas, particularly in the Global South, face many challenges including a lack of infrastructure, ownership conflicts, land degradation, and sustainable food production. This study aims to assess spatial land use characteristics and processes in peri-urban areas using the case of Dar es Salaam, Tanzania. A mixed-method approach was applied, consisting of expert interviews and spatial data analysis, on a local scale along an urban–rural gradient. Expert interviews were conducted during a field study and analyzed regarding the characteristics and processes of peri-urban land development. A GIS-based analysis of land use patterns was applied using satellite imagery and Open Street Map data to identify a number of variables, such as building density and proximity to environmental features. Results show specific patterns of land use indicators, which can be decreasing (e.g., house density), increasing (e.g., tree coverage), static (e.g., house size), or randomly distributed (e.g., distance to river), along a peri-urban gradient. Key findings identify lack of service structures and access to public transport as major challenges for the population of peri-urban areas. The combination of qualitative expert interviews and metrics-based quantitative spatial pattern analysis contributes to improved understanding of the patterns and processes in peri-urban land use changes.

scholarly journals The Development Simulation of Urban Green Space System Layout Based on the Land Use Scenario: A Case Study of Xuchang City, China

2019 ◽  
Vol 12 (1) ◽  
pp. 326 ◽  
Author(s):  
Jie Liu ◽  
Lang Zhang ◽  
Qingping Zhang
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Green Space ◽  
Land Development ◽  
Urban Land ◽  
Urban Green Space ◽  
Urban Land Use ◽  
Space System ◽  
Urban Green ◽  
System Layout

The development and evolution of an urban green space system is affected by both natural effects and human intervention. The simulation and prediction of an urban green space system can enhance the foresight of urban planning. In this study, several land use change scenarios of the main urban area of Xuchang City were simulated from 2014 to 2030 based on high-resolution land use data. The layout of each scenario was evaluated using landscape indexes. A Cellular Automata–based method (i.e., future land use simulation, FLUS) was applied to develop the urban green space system, which we combined with urban land use evolution. Using recent data, the FLUS model effectively dealt with the uncertainty and complexity of various land use types under natural and human effects and solved the dependence and error transmission of multiperiod data in the traditional land use simulation process. The root mean square error (RMSE) of probability of the suitability occurrence module and the Kappa coefficient of the overall model simulation accuracy verification index both met accuracy requirements. It was feasible to combine the evolution of the urban green space system with urban land development. Moreover, under the Baseline Scenario, the urban land use layout was relatively scattered, and the urban green space system showed a disordered development trend. The Master Plan Scenario had a compact urban land use layout, and the green space system was characterized by networking and systematization, but it did not consider the service capacity of the green space. The Planning Guidance Scenario introduced constraint conditions (i.e., a spatial development strategy, green space accessibility, and ecological sensitivity), which provided a more intensive and efficient urban space and improved the service function of the green space system layout. Managers and planners can evaluate the urban future land use development mode under different constraints. Moreover, they would be able to adjust the urban planning in the implementation process. This work has transformed the technical nature of the planning work from “static results” to a “dynamic process”.

scholarly journals Effects of Hierarchical City Centers on the Intensity and Direction of Urban Land Expansion: A Case Study of Beijing

Land ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 312 ◽  
Author(s):  
Daquan Huang ◽  
Xin Tan ◽  
Tao Liu ◽  
Erxuan Chu ◽  
Fanhao Kong
Keyword(s):  
Land Use ◽  
Spatial Patterns ◽  
Driving Forces ◽  
Land Development ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Land Expansion ◽  
Land Use And Management ◽  
Spatial Analysis Method

Worldwide urban spatial expansion has become a hot topic in recent decades. To develop effective urban growth containment strategies, it is important to understand the spatial patterns and driving forces of urban sprawl. By employing a spatial analysis method and land use survey data for the years 1996–2010, this study explores the effects of hierarchical administrative centers on the intensity and direction of urban land expansion in a Beijing municipality. The results are as follows: (1) land development intensity and expansion speeds are both affected significantly by the municipal and district and county centers where the governments hold a lot of administrative, public, and economic resources. (2) The distances to the administrative centers are determinant factors for the direction of urban land expansion. Except for several subregions adjacent to the municipal center, the closer the area is to an administrative center, the more likely it is that the expansion direction points toward the center. (3) The spatial patterns of urban land development are shaped jointly by governments at different levels, and transportation lines also play a role in remote areas. These findings are expected to have consulting value for future policymaking on urban land use and management in mega-cities, especially those with strong local government powers in other transition economies and developing countries.

scholarly journals Detailed Mapping of Urban Land Use Based on Multi-Source Data: A Case Study of Lanzhou

2020 ◽  
Vol 12 (12) ◽  
pp. 1987 ◽  
Author(s):  
Leli Zong ◽  
Sijia He ◽  
Jiting Lian ◽  
Qiang Bie ◽  
Xiaoyun Wang ◽  
...  
Keyword(s):  
Land Use ◽  
Road Network ◽  
Population Distribution ◽  
Land Development ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Classification ◽  
Point Of Interest ◽  
Source Data ◽  
Population Information

Detailed urban land use information is the prerequisite and foundation for implementing urban land policies and urban land development, and is of great importance for solving urban problems, assisting scientific and rational urban planning. The existing results of urban land use mapping have shortcomings in terms of accuracy or recognition scale, and it is difficult to meet the needs of fine urban management and smart city construction. This study aims to explore approaches that mapping urban land use based on multi-source data, to meet the needs of obtaining detailed land use information and, taking Lanzhou as an example, based on the previous study, we proposed a process of urban land use classification based on multi-source data. A combination road network dataset of Gaode and OpenStreetMap (OSM) was synthetically applied to divide urban parcels, while multi-source features using Sentinel-2A images, Sentinel-1A polarization data, night light data, point of interest (POI) data and other data. Simultaneously, a set of comparative experiments were designed to evaluate the contribution and impact of different features. The results showed that: (1) the combination utilization of Gaode and OSM road network could improve the classification results effectively. Specifically, the overall accuracy and kappa coefficient are 83.75% and 0.77 separately for level I and the accuracy of each type reaches more than 70% for level II; (2) the synthetic application of multi-source features is conducive to the improvement of urban land use classification; (3) Internet data, such as point of interest (POI) information and multi-time population information, contribute the most to urban land use mapping. Compared with single-moment population information, the multi-time population distribution makes more contributions to urban land use. The framework developed herein and the results derived therefrom may assist other cities in the detailed mapping and refined management of urban land use.

scholarly journals ESTIMATING BUILT-UP AREA CHANGE IN ULAANBAATAR CITY, MONGOLIA

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 143-147
Author(s):  
P. Myagmartseren ◽  
I. Myagmarjav ◽  
N. Enkhtuya ◽  
G. Byambakhuu ◽  
T. Bazarkhand
Keyword(s):  
Land Use ◽  
Markov Chain ◽  
Cellular Automata ◽  
Urban Expansion ◽  
Land Development ◽  
Urban Land ◽  
Urban Land Use ◽  
Chain Model ◽  
Rapid Urbanization ◽  
Study Results

Abstract. Long-term urban built-up area changes of the Ulaanbaatar city has accelerated since the 1950s and due to rapid urbanization most of the Mongolian population, or about 68%, live in urban areas. The systematic understanding of urban land expansion is a crucial clue for urban land use planning and sustainable land development. Therefore, in this paper, we used a Markov chain model and cellular automata (CA) to simulate and predict current and future built-up areas expansion is Ulaanbaatar. Landsat imageries (Landsat TM 5, Landsat ETM 7 and Landsat OLI 8) of 1988, 1998, 2008, and 2017 were used to derive main land use classes. Clark Lab’s (Clark University) Geospatial Monitoring and Model software had been used for the urban expansion prediction. The results are innovated to comparable to validate with other study results by using a different kind of methods. Built-up area expansion modeled and predicted 2028’s trends based on a historical expansion of the Ulaanbaatar city between 1988 and 2017, which are prepared according to input model requirements. The built-up area was 7282 hectares (ha) in 1988 and has expanded to 31144 ha in 2017. The built-up area growth of the Ulaanbaatar city has reached 4.3 times over the past 30 years, and from 2017 to 2028 the expansion of the built-up area will be 1.5 times. A comparison of urban expansion from 1988 to 2017 has revealed a rapid built-up invasion to the previous areas of agriculture, grassland, and forest. Simulation performance of Markov chain with the cellular automata model can be used for an improvement in the understanding of the urban expansion processes while allowing helpful for better planning of Ulaanbaatar city, as well as for other rapidly developing towns of Mongolia.

Spatio-temporal differentials in street begging: the case of Ibadan municipality, Nigeria

2018 ◽  
Vol 38 (11/12) ◽  
pp. 944-955
Author(s):  
Amos Oluwole Taiwo
Keyword(s):  
Land Use ◽  
Design Methodology ◽  
Spatial Dimension ◽  
Urban Land ◽  
Urban Land Use ◽  
Primary Data ◽  
Content Type ◽  
Spatio Temporal ◽  
The Relationship ◽  
Insight Into

PurposeThe purpose of this paper is to provide an insight into the relationship that exists between land use activities and street begging in Ibadan municipality, Nigeria, following the observed influence of urban land use activities on begging incidence.Design/methodology/approachPrimary data were obtained through the method of direct enumeration of beggars and cursory observation of the physical and environmental compositions of the identified beggars’ locations in the study area.FindingsThe results showed that begging is a function of urban land use activities and it also conforms to the concentric, sector and multiple nuclei models of urban land use.Research limitations/implicationsStudies are still less noticeable on the spatial implications of begging in Nigerian urban centres. In view of this, it is very much suggested that more studies be carried out on issues relating to begging, particularly, on the spatial implications of begging in other municipalities for effective comparative analysis.Originality/valueThe study fills a gap in the literature as there is limited research on street begging in relation to spatial dimension.

Sign in / Sign up

Export Citation Format

Share Document