Analysis of the Relationship Between Urban Development Land-use Planning Indicators and Subject Well-being of Inhabitant Based on Ordinal Logistic Regression

2018 ◽  
Vol 33 (6) ◽  
pp. 110-117 ◽  
Author(s):  
Wenbo Jin ◽  
Guofang Zhai ◽  
Zhongyu He ◽  
Wei Chen
Keyword(s):  
Land Use ◽  
Logistic Regression ◽  
Urban Development ◽  
Land Use Planning ◽  
Well Being ◽  
Ordinal Logistic Regression ◽  
The Relationship

scholarly journals A Review on the Significance of Integrated Transportation and Land Use Planning Model for the Planning of Urban Areas

2021 ◽  
Author(s):  
Sebastian Anju
Keyword(s):  
Land Use ◽  
Best Practices ◽  
Land Use Planning ◽  
Urban Areas ◽  
Planning Model ◽  
Housing Shortage ◽  
Mixed Land Use ◽  
Land Use Development ◽  
The Relationship ◽  
Travel Length

Planning for transportation infrastructure takes significant role in development of urban areas. Proper planning is needed for eliminating the problems like overcrowding, housing shortage, congestion etc. So there is a need of integrating transportation and land use. Transportation planning and the land use planning have to be done together. Integrating transportation with land use helps to decrease travel length and need to travel. Mixed land use development is more suitable for the urban areas. This paper critically reviews the importance of Integrated Transportation and Land Use planning (ITLUP) model in the planning of urban areas and applying this model as a solution for most of the problems facing in urban areas by analysing the best practices. The review also focuses on the relationship between land use and transportation by examining the parameters of ITLUP model.

Modelling Land-Use and Land-Cover Changes

2021 ◽  
pp. 57-102
Author(s):  
Raquel Faria de Deus ◽  
José António Tenedório ◽  
Jorge Rocha
Keyword(s):  
Land Use ◽  
Logistic Regression ◽  
Land Cover ◽  
Land Use Planning ◽  
Markov Chain Model ◽  
Hybrid Approach ◽  
Chain Model ◽  
Lulc Change ◽  
Massive Growth ◽  
Urban Settlements

In this chapter, a hybrid approach integrating cellular automata (CA), fuzzy logic, logistic regression, and Markov chains for modelling and prediction of land-use and land-cover (LULC) change at the local scale, using geographic information with fine spatial resolution is presented. A spatial logistic regression model was applied to determine the transition rules that were used by a conventional CA model. The overall dimension of LULC change was estimated using a Markov chain model. The proposed CA-based model (termed CAMLucc) in combination with physical variables and land-use planning data was applied to simulate LULC change in Portimão, Portugal between 1947 and 2010 and to predict its future spatial patterns for 2020 and 2025. The main results of this research show that Portimão has been facing massive growth in artificial surfaces, particularly near the main urban settlements and along the coastal area, and reveal an early and intensive urban sprawl over time.

scholarly journals Land Cover Change in the Abuja City-Region, Nigeria: Integrating GIS and Remotely Sensed Data to Support Land Use Planning

2019 ◽  
Vol 11 (5) ◽  
pp. 1313 ◽  
Author(s):  
Evidence Enoguanbhor ◽  
Florian Gollnow ◽  
Jonas Nielsen ◽  
Tobia Lakes ◽  
Blake Walker
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Development ◽  
Land Cover Change ◽  
Land Use Planning ◽  
Environmental Sustainability ◽  
Urban Expansion ◽  
Developed Countries ◽  
Urban Land Cover ◽  
Land Use Plan

Rapid urban expansion is a significant contributor to land cover change and poses a challenge to environmental sustainability, particularly in less developed countries. Insufficient data about urban expansion hinders effective land use planning. Therefore, a high need to collect, process, and disseminate land cover data exists. This study focuses on urban land cover change detection using Geographic Information Systems and remote sensing methods to produce baseline information in support for land use planning. We applied a supervised classification of land cover of LANDSAT data from 1987, 2002, and 2017. We mapped land cover transitions from 1987 to 2017 and computed the net land cover change during this time. Finally, we analyzed the mismatches between the past and current urban land cover and land use plans and quantified the non-urban development area lost to urban/built-up. Our results indicated an increase in urban/built-up and bare land cover types, while vegetation land cover decreased. We observed mismatches between past/current land cover and the existing land use plan. By providing detailed insights into mismatches between the regional land use plan and unregulated urban expansion, this study provides important information for a critical debate on the role and effectiveness of land use planning for environmental sustainability and sustainable urban development, particularly in less developed countries.

Need's assessment on urban land

2018 ◽  
Vol 22 (03) ◽  
pp. 145-151
Author(s):  
Myagmarjav I ◽  
Myagmartseren P ◽  
Namsrai G
Keyword(s):  
Land Use ◽  
General Population ◽  
Population Growth ◽  
Urban Development ◽  
Needs Assessment ◽  
Land Use Planning ◽  
Total Population ◽  
Urban Land ◽  
Assessment Method ◽  
Administrative Units

In the framework of land use planning 2016-2030, the general population growth and needs of social infrastructures in conjunction with the amount of land required for urban development had been estimated. Based on the overall estimation of the total population of Darkhan-Uul province in 2030, the statistical number will be 104426 inhabitants in total and there were estimated the population growth of administrative units population: Darkhan district 85230 inhabitants, Orkhon 3856 inhabitants, Sharyin gol district 9086 inhabitants, Hongor district 6579 inhabitants. In our research, had been used the needs assessment method, where estimated required area and main needs for secondary schools, kindergartens, hospitals and commercial services in accordance with the number of the projected population and district capacity.

The importance of pedological soil survey in land use planning, resource assessment and site investigation

1987 ◽  
Vol 4 (1) ◽  
pp. 453-466 ◽  
Author(s):  
E. M. Lee ◽  
J. S. Griffiths
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Soil Survey ◽  
Soil Conditions ◽  
Structural Development ◽  
Infrastructure Development ◽  
Land Uses ◽  
Site Investigations

AbstractThe ever increasing pressure for infra-structural development in the UK heightens the conflict between the different land use demands placed on an area. This is reflected in the need for planning authorities to assess the relative suitability of potential land uses. Such assessments are important in guiding urban development away from good quality agricultural land. It is manifest that such planning decisions should be made on the basis of a comprehensive review of all relevant factors, and in particular, this includes the pedological soil conditions with their controlling influence on the ability of the land to support different land uses.Past pedological studies have tended to concentrate on the evaluation of land suitability for agricultural uses. However, such studies are also of value when assessing the suitability of other potential uses including, forestry, recreational uses, natural resources or general infrastructure development.In site investigations for infrastructure or resource development pedological studies have a role to play both at the feasibility and detailed investigation stages. During a feasibility study, particularly when used in conjunction with a programme of geotechnical mapping, a pedological approach to the examination of point samples can be an important aid in the determination of the areal extent of engineering soil units. In detailed investigations pedological assessments during pitting operations can determine such items as the depth of topsoil to be removed and stored during stripping, if a profile has developed through in-situ weathering of bedrock or a derived superifical cover and will assist in the identification of poor drainage areasIn this paper examples are presented of soil surveys used to assess the suitability of areas for recreational use, urban development and forestry. Also, by comparing the approaches to soil description contained within BS 5930, Code of Practice for Site Investigations (British Standards Institution 1981), and the Soil Survey Field Handbook (Hodgson 1974), some recommendations are made for adopting pedological description techniques in geotechnical site investigations.

scholarly journals Application of Geospatial Techniques and Logistic Regression Model for Urban Growth Analysis in Limbe, Cameroon

2020 ◽  
Vol 4 (1) ◽  
pp. 138-151
Author(s):  
E. A. Adzandeh ◽  
D. Alaigba ◽  
C. N. Nkemasong
Keyword(s):  
Land Use ◽  
Logistic Regression ◽  
Land Cover ◽  
Regression Model ◽  
Urban Growth ◽  
Land Use Planning ◽  
Logistic Regression Model ◽  
Transition Probability ◽  
Thematic Mapper ◽  
Geospatial Techniques

Little is known about the nature of ecosystem loss, rampant changes in land use and land cover (LULC) and urban growth taking place in Limbe. The aim of this study is to analyze urban growth in Limbe, Cameroon from 1986-2019 using geospatial techniques and Logistic Regression Model (LRM). Landsat Thematic Mapper (1986), Enhanced Thematic Mapper+ (2002) and Operational Land Imagery/Thermal Infrared Sensor (2019) were utilized in this study. The images were classified into land cover classes using supervised image classification algorithm in ENVI software. The classification output was subjected to LRM application to evaluate urban growth. Image difference of urban growth between 1986 and 2019 was calculated as dependent variable and the independent variables were produced by calculating the Euclidean distance and Buffer of built-up, waterbody, road and farmland as driving factor for urban growth. Future urban growth was determined for 2035 using the Land Change Modeler in IDRISI Selva. Classification overall accuracy for the three date were not less than 99%. LRM results show a good fit with relative operation characteristic of 0.8344 and Pseudo R2 of 0.21. Analysis of LULC shows that built-up increased from 3.5% (1986) to 17.6% (2019). An urban land expansion rate of about 23% was observed for 2035. Transition probability matrix revealed high probability (0.6345) of build-up to remaining build-up by 2035, while the probability for it changing to waterbody, bare land, farm land and vegetation are 0.1099, 0.0459, 0.1939 and 0.1221, respectively. This study successfully demonstrates the application of geo-spatial techniques and LRM for land use/land cover change detection and in understanding the urban growth dynamics. It also identifies the potential areas of future urban growth, which can help land use policy planners for making optimum decisions of land use planning and investment.

scholarly journals Modernizing Ontario’s thermal energy system through integration of district energy into Ontario’s planning process.

2021 ◽  
Author(s):  
Michael Joseph Lee
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Planning Process ◽  
Energy Systems ◽  
Well Being ◽  
Energy System ◽  
Municipal Governments ◽  
District Energy ◽  
Heating And Cooling

Energy is fundamental to the economic success and high quality of modern life because of its centrality to economic activity, comfort, and convenience. Significant opportunities for the environmental protection, economic development, and social well-being of communities can be found through the use of district energy systems over traditional means of heating and cooling for buildings. However energy considerations often come as an afterthought to land-use planning, inhibiting the capacity for greater district energy system use and development. The purpose of this work is to examine key components of the land-use planning process in Ontario, and provide recommendations to the provincial and municipal governments to better support district energy systems through land-use planning policies, plans, and tools.

scholarly journals Dynamic simulation of urban expansion based on cellular automata and logistic regression model: Case study of Hyrcanian region of Iran

2016 ◽  
Author(s):  
Meisam Jafari ◽  
Seyed Masoud Monavari ◽  
Hamid Majedi ◽  
Ali Asghar Alesheikh ◽  
Mirmasoud Kheirkhah Zarkesh
Keyword(s):  
Land Use ◽  
Logistic Regression ◽  
Cellular Automata ◽  
Urban Development ◽  
Rural Areas ◽  
Urban Expansion ◽  
Urban Land ◽  
Urban Land Use ◽  
High Rate ◽  
Hyrcanian Forests

Although, promotion of urbanization culture in recent decades has made inevitable development of cities in the world, however, the development can be guided in a direction that leave, to the extent possible, minimum socioeconomic and environmental impacts. For this, it is required to first forecast auto-spreading orientation of cities and suburbs in rural areas over time and then avoid shapeless growth of cities. This paper is an attempt to develop a dynamic hybrid model based on logistic regression (LR), Markov chain (MC), and cellular automata (CA) for prediction of future urban sprawl in fast-growing cities. The model was developed using 12 widely-used urban development criteria, whose significant coefficient was determined by logistic regression, and validated by relative operating characteristic (ROC) analysis. The validated model was run in Guilan, a tourist province in northern Iran with a very high rate of urban development. For this, changes in the area of urban land use were detected over the period of 1989 to 2013 and then, future sprawl of the province was forecasted by the years 2025 and 2037. The analysis results revealed that the area of urban land use was increased by more than 1.7 % from 36012.5 ha in 1989 to 59754.8 ha in 2013, and the area of Caspian Hyrcanian forestland was reduced by 31628 ha. The results also predicted an alarming increase in the rate of urban development in the province by the years 2025 and 2037, during which urban land use is predicted to develop 0.9 % and 1.38 %, respectively. The development pattern is expected to be uneven and scattered, without following any particular direction. The development will occur close to the existing or newly-formed urban basements as well as around major roads and commercial areas. This development, if not controlled, will lead to the loss of 13863 ha of Hyrcanian forests and if the trend continues, 21013 ha of Hyrcanian forests and 20208 ha of Barren/open lands are expected to be destroyed by the year 2037. In general, the proposed model is an efficient tool for the support of urban planning decisions and facilitates the process of sustainable development of cities by providing decision-makers with an overview on future development of cities where the growth rate is very fast.

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