scholarly journals Abandoned Farmland Location in Areas Affected by Rapid Urbanization Using Textural Characterization of High Resolution Aerial Imagery

2020 ◽  
Vol 9 (4) ◽  
pp. 191 ◽  
Author(s):  
Juan José Ruiz-Lendínez

Several studies have demonstrated that farmland abandonment occurs not only in rural areas, but is also closely interlinked with urbanization processes. Therefore, the location of abandoned land and the registration of the spatial information referring to it play important roles in urban land management. However, mapping abandoned land or land in the process of abandonment is not an easy task because the limits between the different land uses are not clear and precise. It is therefore necessary to develop methods that allow estimating and mapping this type of land as accurately as possible. As an alternative to other geomatics methods such as satellite remote sensing, our approach proposes a framework for automatically locating abandoned farmland in urban landscapes using the textural characterization and segmentation of aerial imagery. Using the city of Poznań (Poland) as a case study, results demonstrated the feasibility of applying our approach, reducing processing time and workforce resources. Specifically and by comparing the results obtained with the data provided by CORINE Land Cover, 2275 ha (40.3%) of arable land within the city limits were abandoned, and the area of abandoned arable land was almost 9.2% of the city’s area. Finally, the reliability of the proposed methodology was assessed from two different focuses: (i) the accuracy of the segmentation results (from a positional point of view) and (ii) the efficiency of locating abandoned land (as a specific type of land use) in urban areas particularly affected by rapid urbanization.

SINERGI ◽  
2021 ◽  
Vol 25 (3) ◽  
pp. 245
Author(s):  
Diana Ayudya ◽  
Mona Anggiani

In cities, spaces were intentionally formed, planned, or unintentionally unplanned. Unlike planned spaces, unplanned spaces in urban areas eventually tend to cause problems for the area. These spaces were referred to as residual spaces, which were generally vacant land or open space in various urban spaces. Urban residual space was also commonly found in tertiary activity centers in big cities like Jakarta, one of which was in the trade and service area of the city. Residual space in such areas grew and developed due to dense activity within the area, resulting building density, irregularity in some spatial use and environmental degradation. Due such conditions, several questions are significant to be raised.  What are the typology, utilization, and its impacts on the area? Did it only cause a problem, or could it be a solution to problems within the area? This study aimed to examine the typology of residual space based on the shape, location, utilization, and impact of trade and service activities in South Jakarta, Kebayoran Lama area. The proposed approach used was a qualitative study of the residual spaces in predetermined trade and commercial areas. The study results of the physical, spatial, visual, and social conditions of urban residual space were explained descriptively to get a picture of the characteristics of the form, location, utilization, and impact on the area.


2018 ◽  
Vol 01 (02) ◽  
pp. 01-09
Author(s):  
Baig Farrukh ◽  
Sahito Noman ◽  
Bano Arsla ◽  

In developing countries, rapid urbanization has created an enormous pressure on land use, infrastructure and transportation. The fast growing ratio of motorized vehicles in urban areas is the main cause of environmental degradation. Almost 80% of the greenhouse gas emission is from vehicles in cities. In the city centers, on-street parking is considered the major cause of traffic congestion. The aim of this study was to evaluate the problems of on-street parking and disorderly parking at Central Business District (CBD) of Hyderabad city. The field survey methodology was adopted to perceive the current traffic problems in the city center and traffic count survey was carried out in both peak and off hours. The data was analyzed using descriptive statistics frequency analysis technique with the help of Statistical Package for the Social Sciences (SPSS). The findings revealed that increasing number of vehicles, on-street parking, improper parking, encroachment, inadequate parking space and poor condition of roads are the main causes of traffic congestion. The study bridges up the research gap of determining public views about on-street parking challenges in the context of Hyderabad, Pakistan and provides statistical results which may equally be adapted by policy makers and transportation planners in order to improve the traffic situation.


Author(s):  
Tapan K. Datta ◽  
David Feber ◽  
Kerrie Schattler ◽  
Sue Datta

A vast majority of traffic crashes in urban areas occur at signalized intersections. Roadway geometry, traffic control, adjacent land uses, and environmental factors at intersections often contribute to the high incidence of traffic crashes and injuries. A public-private partnership project to identify high-crash and high-risk locations in the city of Detroit was initiated in 1996. Eighteen candidate sites were selected, and an extensive engineering study was conducted to develop countermeasures to help alleviate the traffic crash problem at the selected sites. The Automobile Association of America, Michigan, was the private partner in this joint venture and, in partnership with the city of Detroit, was a major contributor to covering the cost of improvements. The selection of countermeasures was based on state-of-the-art methodology and analysis, and implementation of the selected countermeasures at some of the sites was undertaken as the initial phase of the project. A comprehensive before-and-after evaluation study was performed at three of the improved sites. The study revealed that the safety improvements that were implemented lowered both crash and severity experience. The differences between the before and after crash frequencies proved to be statistically significant. Additionally, a benefit-cost analysis at the study locations indicated extraordinary results. This research presents the evaluation study results and discusses the countermeasures and improvements that were the most successful in mitigating traffic crash problems at the selected study locations.


2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Erdal Akyol ◽  
Mutlu Alkan ◽  
Ali Kaya ◽  
Suat Tasdelen ◽  
Ali Aydin

In recent years, life quality of the urban areas is a growing interest of civil engineering. Environmental quality is essential to display the position of sustainable development and asserts the corresponding countermeasures to the protection of environment. Urban environmental quality involves multidisciplinary parameters and difficulties to be analyzed. The problem is not only complex but also involves many uncertainties, and decision-making on these issues is a challenging problem which contains many parameters and alternatives inherently. Multicriteria decision analysis (MCDA) is a very prepotent technique to solve that sort of problems, and it guides the users confidence by synthesizing that information. Environmental concerns frequently contain spatial information. Spatial multicriteria decision analysis (SMCDA) that includes Geographic Information System (GIS) is efficient to tackle that type of problems. This study has employed some geographic and urbanization parameters to assess the environmental urbanization quality used by those methods. The study area has been described in five categories: very favorable, favorable, moderate, unfavorable, and very unfavorable. The results are momentous to see the current situation, and they could help to mitigate the related concerns. The study proves that the SMCDA descriptions match the environmental quality perception in the city.


Author(s):  
Vicente De Paulo Rodrigues da Silva ◽  
Joel Silva Santos ◽  
Eduardo Rodrigues Viana de Lima ◽  
Romildo Morant de Holanda ◽  
Enio Pereira de Sousa ◽  
...  

Urbanization modifies the heat balance in urban areas and has negative effects on landscape, aesthetics, energy efficiency, human health and the inhabitants’ quality of life. This work evaluated future scenarios of bioclimatic conditions for João Pessoa, a humid tropical city in Northeast Brazil. The scenarios were determined based on trends in air temperature, relative humidity and wind speed for the time period from 1968 to 2015. The study was performed for two distinct periods of three months each (dry and wet seasons) using data from weather stations equipped with thermo-hygrometers and cup anemometers located in nine representative areas of the city. Trends in air temperature, relative humidity, wind speed, and effective temperature index (ET index) time series were evaluated using the Mann-Kendall test. Results indicated that the air temperature showed an increasing trend of 0.34°C/decade, whereas the relative humidity showed a decreasing trend of 0.49%/decade and the wind speed values ranged from 1.3 ms-1 to 3.80 ms-1. These trends are statistically significant according to the Mann-Kendall test (p<0.05). The air temperature increased between the 1980s and 2010s, which corresponds to a period of rapid urbanization of the city. Future environmental conditions in João Pessoa will be determined in accordance with the urbanization processes.


2016 ◽  
Vol 19 (2) ◽  
pp. 146-153
Author(s):  
Hoa Thanh Le ◽  
Chau Thi Phuong Nguyen

Urban morphology in urban studies is used to classify and manage the distribution of urban densities. In urban planning, it helps to identify the emerging problems and solve the disorder of urban functions as in the megacity of Ho Chi Minh City. Rapid urbanization has increased the development footprint with disordered densities of building footprint, incomplete infrastructure and urban - peripheral instability. And it, then, caused more flood problems to the city. This study was based on applying fractal geometry, GIS on large-scale maps for identifying residential density based on urban morphology. The land-use map and the building footprints map of 2010 were integrated in fractal geometry to analyze the distribution of urban areas by the large scale of GIS data. This study showed HCMC had problems on irrational development in residential densities areas; and uneven development of population and residential density between the urban areas. At block scale of land-use block, in urban center had highest densities of building footprints and population, then, the medium densities in developing districts and rural-sub-districts. With these densities, there was more flood in high density areas, as in urban center, and less flood in lower density areas, as in sub-urban areas. These problems may cause some limitations to development of social, commercial, industrial, and infrastructure in HCMC. City needs to have flood control and management for development of the city.


YMER Digital ◽  
2021 ◽  
Vol 20 (12) ◽  
pp. 545-550
Author(s):  
M ARULMURUGAN ◽  
◽  
V Thandapani ◽  

The dimension of the slums is presumed as something that is deteriorating urban areas that is densely populated and contains dilapidated housing, often in multiple occupations, poverty, social disadvantage and other forms of physical and social deprivation. Urbanization is a global phenomenon experienced by economically advanced as well as developing countries. Rapid urbanization due to “pull factor” or the employment opportunity created in the city and “push factor” due to the lack of the same in rural areas and including environmental degradation, has attracted immigrants not only from the rural Tamil Nadu but also from other parts of the country. Growth of industrialization around the Chennai city, famine situation in the rural area, inadequate rain in the rural area, castism, rapidly and vast building construction activity in and around the city and information technology parks, has given surety for skilled, unskilled, semi-skilled jobs which are available to the deserving people. Most of the immigrated families who could not afford formal housing satisfy their need for housing by occupying available vacant land illegally and solving their housing problem and contribute to the creation of slums. In this study mainly aims to the income and expenditure activities of the Nochikuppam slum areas in Chennai city.


2021 ◽  
Vol 14 (4) ◽  
pp. 2941-2955
Author(s):  
David Garcia-Nieto ◽  
Nuria Benavent ◽  
Rafael Borge ◽  
Alfonso Saiz-Lopez

Abstract. Trace gases play a key role in the chemistry of urban atmospheres. Therefore, knowledge about their spatial distribution is needed to fully characterize air quality in urban areas. Using a new Multi-AXis Differential Optical Absorption Spectroscopy two-dimensional (MAXDOAS-2D) instrument, along with an inversion algorithm (bePRO), we report the first two-dimensional maps of nitrogen dioxide (NO2) and nitrous acid (HONO) concentrations in the city of Madrid, Spain. Measurements were made during 2 months (6 May–5 July 2019), and peak mixing ratios of 12 and 0.7 ppbv (parts per billion by volume) for NO2 and HONO, respectively, were observed in the early morning in the southern part of the downtown area. We found good general agreement between the MAXDOAS-2D mesoscale observations – which provide a typical spatial range of a few kilometers – and the in situ measurements provided by Madrid's air quality monitoring stations. In addition to vertical profiles, we studied the horizontal gradients of NO2 in the surface layer by applying the different horizontal light path lengths in the two spectral regions included in the NO2 spectral analysis: ultraviolet (UV, at 360 nm) and visible (VIS, 477 nm). We also investigate the sensitivity of the instrument to infer vertically distributed information on aerosol extinction coefficients and discuss possible future ways to improve the retrievals. The retrieval of two-dimensional distributions of trace gas concentrations reported here provides valuable spatial information for the study of air quality in the city of Madrid.


2016 ◽  
Vol 11 (1) ◽  
pp. 36-49 ◽  
Author(s):  
Ashim Ratna Bajracharya ◽  
Ritu Raj Rai ◽  
Shreema Rana

In urban and suburban areas, much of the land surface is covered by buildings and pavements, which do not allow precipitation and snowmelt to soak into the ground. Instead, most developed areas rely on storm drains to carry large amounts of runoff from roofs and paved areas to nearby waterways. Hard surfaces such as streets, parking lots and built-up areas are impervious surfaces through which, water cannot pass through. As more and more landscapes are covered with hard impervious surfaces, the amount of water that infltrates, decreases and the amount that runs off, increases. This research is focused on studying run-off conditions in context of urban areas. The study area is Kathmandu Metropolitan City (KMC). The City is in the stage of rapid urbanization and with it, a rapid increase in built-up spaces. As a result, the city is losing a balance between impervious and pervious cover. Loss of greeneries and unpaved open spaces are causing rapid drain of rain-water. This is creating a disturbance in the hydrological cycle of the area. For assessing the extent of runoff, total runoff was estimated of KMC, as per the surface characteristics and using rational method for calculation.  Parameters for determining run-off coeffcients were mainly land cover and land use data, soil type and slope of surface. Results show that current runoff is alarmingly high, indicated by the difference between the run-off values of pre and post-development scenarios. Urban development pattern has caused a major impact, in the prevailing run-off and it is very crucial that these issues are addressed in urban planning to promote effective solutions for maintaining water cycle and water resources in urban areas. Journal of the Institute of Engineering, 2015, 11(1): 36-49 


Author(s):  
Edmund Barter ◽  
Thilo Gross

In the twenty-first century, ongoing rapid urbanization highlights the need to gain deeper insights into the social structure of cities. While work on this challenge can profit from abundant data sources, the complexity of this data itself proves to be a challenge. In this paper, we use diffusion maps, a manifold learning method, to discover hidden manifolds in the UK 2011 census dataset. The census key statistics and quick statistics report 1450 different statistical features for each census output area. Here, we focus primarily on the city of Bristol and the surrounding countryside, comprising 3490 of these output areas. Our analysis finds the main variables that span the census responses, highlighting that university student density and poverty are the most important explanatory variables of variation in census responses.


Sign in / Sign up

Export Citation Format

Share Document