scholarly journals Modelling urban mixed land-use prediction using influence parameters

GeoScape ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 66-78
Author(s):  
Poulomee Arun Ghosh ◽  
Pratap M. Raval
Keyword(s):  
Land Use ◽  
Population Density ◽  
Spatial Data ◽  
Overlay Analysis ◽  
Land Uses ◽  
Weighted Overlay ◽  
Weighted Overlay Analysis ◽  
Mixed Land Use ◽  
Influencing Parameters ◽  
The City

Abstract Mixed land-use is a popular concept in urban planning due to its expected role in improving environmental sustainability as well as citizen’s quality of life. Land use planning and regulations are not stringent in many cities like those in India, and policies are liberal towards mixed land uses. In these cities, mixed land-uses are a natural phenomenon manifesting under various influencing parameters. However, for studies on mixed land-uses, these cities pose data insufficiency challenges, as vital comprehensive spatial information related to land-uses is not available. Moreover, there is no standardised methodology established to assess the spatial distribution of mixed land-uses at the city level. This research has developed a GIS-based model using Weighted Overlay Analysis to predict and visualise the probability of mixed land-use at the macro or city level for the case of Pune, India. The model uses the easily available spatial data of influencing parameters of mixed land-use as input for prediction instead of comprehensive real land-use data. The model is validated by comparing the predicted mixed land-use intensities with established indicators of mixed land-use for four neighbourhoods. It is found that parameters that influence mixed land-use such as connectivity, grain pattern, population density and access to amenities can be used to predict the probability of mixed land-use. Around 35 per cent of the city area of Pune has more than 0.67 probability of mixed land-use. The model can produce the probable mixed land-use distribution across the city and can be used to compute mixed land-use intensities for neighbourhoods. Highlights for public administration, management and planning: • Mixed land-use probability distribution for Pune City, India is generated using Weighted Overlay Analysis in GIS. • As vital spatial data of land-use was unavailable, the prediction model uses data of influencing parameters of mixed land-uses such as population density, connectivity, grain pattern and access to amenities. • The mixed land-use probabilities predicted can be used to compute mixed land-use intensities of neighbourhoods. It is validated by comparing with traditional mixed land-use indicators.

scholarly journals Urban Shrinkage and Sustainability: Assessing the Nexus between Population Density, Urban Structures and Urban Sustainability

2019 ◽  
Vol 11 (15) ◽  
pp. 4142 ◽  
Author(s):  
Ondřej Slach ◽  
Vojtěch Bosák ◽  
Luděk Krtička ◽  
Alexandr Nováček ◽  
Petr Rumpel
Keyword(s):  
Land Use ◽  
Population Density ◽  
High Rate ◽  
Urban Structure ◽  
Land Uses ◽  
Urban Structures ◽  
Urban Level ◽  
Land Use Development ◽  
Planning Culture ◽  
The City

Urban shrinkage has become a common pathway (not only) in post-socialist cities, which represents new challenges for traditionally growth-oriented spatial planning. Though in the post-socialist area, the situation is even worse due to prevailing weak planning culture and resulting uncoordinated development. The case of the city of Ostrava illustrates how the problem of (in)efficient infrastructure operation, and maintenance, in already fragmented urban structure is exacerbated by the growing size of urban area (through low-intensity land-use) in combination with declining size of population (due to high rate of outmigration). Shrinkage, however, is, on the intra-urban level, spatially differentiated. Population, paradoxically, most intensively declines in the least financially demanding land-uses and grows in the most expensive land-uses for public administration. As population and urban structure development prove to have strong inertia, this land-use development constitutes a great challenge for a city’s future sustainability. The main objective of the paper is to explore the nexus between change in population density patterns in relation to urban shrinkage, and sustainability of public finance.

scholarly journals The time varying network of urban space uses in Milan

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Alba Bernini ◽  
Amadou Lamine Toure ◽  
Renato Casagrandi
Keyword(s):  
Land Use ◽  
Mobile Phone ◽  
Urban Space ◽  
Temporal Analysis ◽  
Mobile Phone Data ◽  
Natural Environments ◽  
Urban Structure ◽  
Land Uses ◽  
Population Mobility ◽  
The City

AbstractIn a metropolis, people movements design intricate patterns that change on very short temporal scales. Population mobility obviously is not random, but driven by the land uses of the city. Such an urban ecosystem can interestingly be explored by integrating the spatial analysis of land uses (through ecological indicators commonly used to characterize natural environments) with the temporal analysis of human mobility (reconstructed from anonymized mobile phone data). Considering the city of Milan (Italy) as a case study, here we aimed to identify the complex relations occurring between the land-use composition of its neighborhoods and the spatio-temporal patterns of occupation made by citizens. We generated two spatially explicit networks, one static and the other temporal, based on the analysis of land uses and mobile phone data, respectively. The comparison between the results of community detection performed on both networks revealed that neighborhoods that are similar in terms of land-use composition are not necessarily characterized by analogous temporal fluctuations of human activities. In particular, the historical concentric urban structure of Milan is still under play. Our big data driven approach to characterize urban diversity provides outcomes that could be important (i) to better understand how and when urban spaces are actually used, and (ii) to allow policy makers improving strategic development plans that account for the needs of metropolis-like permanently changing cities.

Wise Expansion Strategy of Urban Fringe Area in Chengdu

2012 ◽  
Vol 174-177 ◽  
pp. 2399-2402
Author(s):  
Xiao Han ◽  
Min Min Liu
Keyword(s):  
High Speed ◽  
Industrial Structure ◽  
Urban Expansion ◽  
Urban Fringe ◽  
Ecological Security ◽  
Land Uses ◽  
Expansion Strategy ◽  
Mixed Land Use ◽  
The City ◽  
Fringe Area

In the high-speed urbanization of China, urban fringe is at the forward position of urban expansion whose ecological security pattern, special form, land uses, industrial structure and traffic model would determine the future of the city. Based on PLUREL program, this article analyzed the negative and positive influences of urban fringe to urban expansion, pondered the reasons behind those negative influences and put forward advice to Wise Urban Expansion in Chengdu such as crack-shape land layout, mixed land use, tie-in implementation for ecological Greenland, conversion from traditional agriculture to ecological agriculture and so on.

scholarly journals Mapping Potential Zones for Groundwater Recharge Using a GIS Technique in the Lower Khwae Hanuman Sub-Basin Area, Prachin Buri Province, Thailand

2021 ◽  
Vol 9 ◽  
Author(s):  
Narongsak Kaewdum ◽  
Srilert Chotpantarat
Keyword(s):  
Groundwater Recharge ◽  
Predictive Accuracy ◽  
Groundwater Resources ◽  
Specific Capacity ◽  
Overlay Analysis ◽  
Weighted Overlay ◽  
Recharge Potential ◽  
Weighted Overlay Analysis ◽  
Groundwater Aquifer ◽  
Hydrogeological Characteristics

The lower Khwae Hanuman sub-basin in Thailand suffers from water shortage during each dry season. As such, groundwater resources are an additional freshwater source in this region, in particular for cultivating activities. Thus, an understanding of the volume of groundwater recharge into the saturated zone is required. The objective of the study is to assess the groundwater recharge potential (GRP) using the weighted overlay analysis method by geographic information system (GIS) and finally checking the reliability of GRP map using observed specific capacity carried out by the Department of Groundwater Resources (DGR). The geological and hydrogeological features that affect groundwater potential are the lithology, land use, lineaments, drainage, slope, and soil. The weighting and rating of these six influencing factors were determined by assessing the interrelationship of the main and minor influences of each factor based on several literature reviews, followed by a weighted overlay analysis with GIS, in association with groundwater recharge. The GRP can be classified in descending order: high, moderate, low, and very low, where about 33.9 km2 (2.26% of the total area of 1,500 km2) had high recharge potentiality, located at the center of the area. Only 12.8% of the total precipitation (271.75 million m3/y or approximately 181.2 mm) infiltrated the groundwater aquifer, while the rest was lost by either surface runoff or evapotranspiration. Based on GRP sensitivity analysis index, lithology was the most efficient influencing factor in GRP mapping. Most groundwater wells (>96% or 369 wells) were classified into the classes of low and moderated, which agree to the GRP zones. The results of calculating the area under the curve (AUC) of the receiver operating characteristic (ROC) curve were 86.0 percent, with relatively good predictive accuracy. The stable baseflow analysis would be used to confirm the amount of GRP by weighting overlay technique. Therefore, the GRP method can be applied in other areas, particular in similar hydrogeological characteristics. The first-hand recharge potential map and groundwater recharge information in this area can be used to establish an effective groundwater exploration program for agricultural activities; it is also used to appropriate sustainable yields from each groundwater basin to provide groundwater over the long-term, without negatively impacting the environment and without affecting the groundwater balance as it has recharge in the rainy seasons, which can use groundwater sustainably. It is in line with the sustainable development goals (SDGs) in goal number six of the UN.

scholarly journals Impacts of Anthropogenic Factors on Urban Air Quality in Lagos Metropolis

2019 ◽  
Vol 11 (2) ◽  
pp. 35
Author(s):  
Peter Nkashi AGAN
Keyword(s):  
Land Use ◽  
Air Quality ◽  
Raw Materials ◽  
Anthropogenic Activities ◽  
Anthropogenic Factors ◽  
Land Uses ◽  
Residential Areas ◽  
Industrial Land ◽  
The City

Land use is the utilization and reordering of land cover for human comfort. This process disrupts the pristine state of the environment reducing the quality of environmental receptors like water, air, vegetation etc. Air pollution is introduced into the environment as a result of anthropogenic activities from commercial, industrial and residential areas. These activities are burning of fossil fuels for power generation, transport of goods and services, valorization of raw materials into finished products, bush burning, use of gas cookers, generators and electric stove etc. The introduction of pollutants into the planetary layer of the atmosphere has impacted negatively on the quality of the environment posing threat to humans and the survival of the ecosystem. In Lagos metropolis, commercial activities and high population densities have caused elevated levels of pollution in the city. This study aimed to investigate the spatial distribution of pollutant in Lagos metropolis with a view to revealing the marked spatial/temporal difference in pollutants levels over residential, commercial and industrial land uses. Commercial and industrial land uses revealed higher levels of pollutants than the residential areas. Pearson product moment correlation coefficients revealed strong positive relationship between land use and air quality in the city.

scholarly journals Suitability of Water Harvesting in the Upper Blue Nile Basin, Ethiopia: A First Step towards a Mesoscale Hydrological Modeling Framework

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Yihun T. Dile ◽  
Johan Rockström ◽  
Louise Karlberg
Keyword(s):  
Ex Situ ◽  
Overlay Analysis ◽  
Water Harvesting ◽  
Nile Basin ◽  
Weighted Overlay ◽  
Blue Nile ◽  
Weighted Overlay Analysis ◽  
Blue Nile Basin ◽  
Upper Blue Nile Basin

Extreme rainfall variability has been one of the major factors to famine and environmental degradation in Ethiopia. The potential for water harvesting in the Upper Blue Nile Basin was assessed using two GIS-based Multicriteria Evaluation methods: (1) a Boolean approach to locate suitable areas for in situ and ex situ systems and (2) a weighted overlay analysis to classify suitable areas into different water harvesting suitability levels. The sensitivity of the results was analyzed to the influence given to different constraining factors. A large part of the basin was suitable for water harvesting: the Boolean analysis showed that 36% of the basin was suitable for in situ and ex situ systems, while the weighted overlay analysis showed that 6–24% of the basin was highly suitable. Rainfall has the highest influence on suitability for water harvesting. Implementing water harvesting in nonagricultural land use types may further increase the benefit. Assessing water harvesting suitability at the larger catchment scale lays the foundation for modeling of water harvesting at mesoscale, which enables analysis of the potential and implications of upscaling of water harvesting practices for building resilience against climatic shocks. A complete water harvesting suitability study requires socioeconomic analysis and stakeholder consultation.

Reverse-Engineered Land Use Patterns to Minimize Congestion

2003 ◽  
Vol 1831 (1) ◽  
pp. 141-149
Author(s):  
Amica Bose ◽  
Jon D. Fricker
Keyword(s):  
Land Use ◽  
Travel Time ◽  
Substantial Reduction ◽  
Land Uses ◽  
Land Use Patterns ◽  
Land Use Pattern ◽  
Use Patterns ◽  
Destination Choices ◽  
Mixed Land Use ◽  
Use Pattern

A neighborhood land use pattern designed to accommodate the most frequently taken nonwork trips within an acceptable distance from home was developed. Instead of starting from a specified set of land uses and studying the travel characteristics, mixed land use patterns that fit the observed trip-making behavior of people were formulated. The result is called a reverse-engineered neighborhood, or REN. The REN was tested against a Euclidean development that had separated land uses. Results show a substantial reduction in nonwork trip lengths (in terms of both travel time and distance) in the REN compared with the Euclidean development. The efficiency of the REN is the result of having more trip destination choices available to residents at acceptable distances. The procedures in the analysis are described and demonstrated, the results of the analysis are presented, and directions for further study are suggested.

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