scholarly journals Parking Requirement of Institutional Land Use

2022 ◽  
Vol 961 (1) ◽  
pp. 012053
Author(s):  
N M Asmael ◽  
G F Turky
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
City Planning ◽  
Transportation Network ◽  
Land Use Type ◽  
Local Conditions ◽  
Urban City ◽  
Parking Lot ◽  
Demand Rates ◽  
Parking Demand

Abstract Parking demand rates are one of the essential keys to urban city planning around the world. Most cities produced the most suitable parking rates, and models relied on their local conditions, regulations, and people’s habits. In Iraq, there is a lack of parking studies, and therefore, there is a lot of missing information which if be found, will be very valuable for better enhancing and managing the transportation network system. Institutional land use or Government Ministries are the land use type in which this research tries to find its parking generation rates. The goal is to produce models and rates for parking generation by using certain independent variables according to the characteristics of the land-use type. The research study area is the urban areas outside Baghdad CBD. Several sites were selected located in different parts of Baghdad. The number of study sites is three. The collected data about sites are the total number of site employees, site gross floor area, and maximum parked vehicles at each site for an Am and Pm period. Each site has a clear parking lot; besides, the sites were selected relied on particular criteria. The field survey was done at each site for defining days and times. The final stage is a data analysis and producing parking generation rates and models to determine the required parking demand for this land-use type. Statistical analysis of data, model generation, was done by the computer program (SPSS). It concluded that the institutional land use produced 0.94 spaces per 100 m2 of GFA and 0.1 spaces per employee.

Population Levels of Well-Being In a Peri-Urban Area of a Metropolitan Region, A Case Study of Selangor Northern Corridor, Malaysia

2021 ◽  
Vol 12 (3) ◽  
pp. 76-83
Author(s):  
Y. Saleh Et.al
Keyword(s):  
Land Use ◽  
Public Transportation ◽  
Urban Areas ◽  
Transportation Network ◽  
Simple Random Sampling ◽  
Well Being ◽  
Metropolitan Region ◽  
Socioeconomic Environment ◽  
Human Needs ◽  
Study Results

This article seeks to identify the levels of well-being of residents of Selangor Northern Corridor, Lembah Klang-Langat Extended Metropolitan Region (EMR). The study involved 400 respondents consisting of the heads of household in peri-urban areas of Selangor Northern Corridor of Lembah Klang-Langat EMR. Respondents were selected via a simple random sampling method. A 1-5 Likert scale questionnaire was used as a research instrument. Based on the well-being index, a variety of variables involving well-being were listed, although the author of this study used four variables, namely housing, transportation, socioeconomic environment and land use. The housing variable consisted of three sub-variables, comprising area selection, safety and facilities. The transport variable included two sub-variables: public transportation and transportation network. The socioeconomic variables society and economy, while the sub-variables for land use were types of activities and property ownership. The study results indicate that the questionnaire’s reliability level was acceptable as the Cronbach’s alpha value of each variable exceeded 0.8. Transportation and socioeconomic environment stood at high levels, while housing and land use were at moderate levels. These findings demonstrate that the level of some of the community’s well-being was high or moderate due to urban sprawl. This means that humans will adapt to the environment in various ways so that it can accord with human needs.

scholarly journals A Combination Model for Quantifying Non-Point Source Pollution Based on Land Use Type in a Typical Urbanized Area

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 729
Author(s):  
Siru Wang ◽  
Pinzeng Rao ◽  
Dawen Yang ◽  
Lihua Tang
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Urban Environments ◽  
Point Sources ◽  
Land Use Type ◽  
Pollution Load ◽  
Combination Model ◽  
Urbanized Area ◽  
Nps Pollution ◽  
Poultry Breeding

Water pollution poses threats to urban environments and subsequently impacts the ecological health and sustainable development of urban areas. Identifying the spatiotemporal variation in non-point sources (NPS) pollution is a prerequisite for improving water quality. This paper aimed to assess the NPS pollution load and then recognized the spatiotemporal characteristics of the pollution sources in a typical urbanized area. A combination model based on land use type was used to simulate the NPS pollution load. The results showed the following: (1) ponds and farmlands had higher pollution production intensities than other land use types, but the intensity and magnitude of pollution emissions were generally greater in urban areas; (2) monthly and annual total nitrogen (TN) and total phosphorus (TP) emissions had the same pattern as rainfall, and TN and TP emissions accounted for 56.2% and 58.0%, respectively, of the total in summer; (3) TN pollution was more serious than TP pollution in the study area, especially in farmlands; (4) urban runoff (UR) and livestock and poultry breeding (LPB) were the main sources of NPS, TN and TP emissions in the study area. If these NPS pollutants cannot be removed from this area, a large amount of freshwater is needed to dilute the current rivers to meet the requirement of the fourth category of China national environmental quality standards for surface water. This problem is serious in the control of polluted rivers in many cities throughout China.

scholarly journals Proposal of building a standard geodatabase for urban land use

2018 ◽  
Vol 162 ◽  
pp. 03024
Author(s):  
Haifaa Husein ◽  
Oday Jasim ◽  
Saja Mahmood
Keyword(s):  
Land Use ◽  
Undergraduate Students ◽  
Urban Areas ◽  
Survey Methods ◽  
Digital Processing ◽  
Great Difficulty ◽  
Urban Land Use ◽  
Land Uses ◽  
Local Data ◽  
Urban City

The digital technologies represented by digital processing programs, local data bases and satellite receivers system is a set of technologies made to organize the process of building descriptive field database, and conveying them to computers, in order to store, analyze and manifest data as well as upgrade and extract it in the form of digital maps, which represent an asset in any engineering and planning study. For a variety of types of mixed land uses and others land uses in the urban city, which cause great difficulty in how to build spatial Geodatabase in terms of frequency of the land use and overlap between land uses, the paper will find the proposed standard Geomatics techniques to get rid of these difficulties. The paper will tackle the engineering and survey methods which could reinforce manifestation of uses of logical database in urban areas. Lastly, the research concludes that relying on important field survey and digital references in preparing suggested criteria for field uses, in addition to the recommendations provided in this field for the post graduate and undergraduate students as well governmental specialized departments.

scholarly journals Effects of Urban Transformation on Transportation Infrastructure: Goztepe Transformation Area Example

2020 ◽  
Vol 3 (1) ◽  
pp. 206-218
Author(s):  
Gulcin ALP ◽  
Yavuz Ozdemir ◽  
Sahika OZDEMIR
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Transportation Network ◽  
Sustainable Transportation ◽  
Urban Transformation ◽  
Transportation Problems ◽  
Land Use Decisions ◽  
Short Period ◽  
To Come ◽  
Use Factors

Cities are the settlements they form as living spaces of societies and they are not just structures; the same people are born, breathe, grow and thrive. While the cities are growing, their structures are unable to carry the density of the population due to deterioration in time. Urban transformation projects have emerged as a response to this need. However, it is seen that there are some problems and deficiencies when the issue of existing land use and transportation network factors for renewal of the problematic places of the cities is examined in parallel with the changes. If these problems are not prevented, it will not be possible to leave quality, reliable and sustainable cities for years to come. Non-sustainable transportation and land-use decisions in fast-growing urban areas are not effective in solving transportation problems. Point solutions against transportation problems are not permanent in the long term and cause problems after a short period of time. Therefore, the effect of the transformations on the transportation and land use factors are evaluated together. In this study, it is emphasized that the land use and transportation factor should be handled based on Göztepe District of Bağcılar district which is in the process of transformation under the law no 6306.

scholarly journals Relationship between Land-Use Type and Daily Concentration and Variability of PM10 in Metropolitan Cities: Evidence from South Korea

Land ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 23
Author(s):  
Heechul Kim ◽  
Sungjo Hong
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
South Korea ◽  
Land Use Planning ◽  
Urban Areas ◽  
Land Use Type ◽  
Residential Areas ◽  
Metropolitan Cities ◽  
Significant Difference ◽  
Mixed Land Use

Since urban areas with high air pollution are known to have higher mortality rates compared to areas with less air pollution, accurately understanding and predicting the distribution of particulate matter (PM) in cities is important for urban planning policies that seek to emphasize the health of citizens. Therefore, this study aims to investigate the relationship between PM and land use in metropolitan cities in South Korea using the land-use regression model. We use daily data from the air quality monitoring stations (AQMS) in seven cities in South Korea for the year 2018. For analysis, K-means clustering is employed to identify the land-use pattern surrounding the AQMSs and two log-lin regression models are used to investigate the effects of each land-use type on PM. The findings show a statistically significant difference in PM concentration and variability in the business, commercial, industrial, mixed, and high-density residential areas compared to parks and green areas, and that PM concentration and variability were less in mixed areas than in single land use, thus verifying the effectiveness of a mixed land-use planning strategy. Moreover, microclimatic, seasonal, and regional factors affect PM concentration and variability. Finally, to minimize exposure to PM, various policies such as mixed land use need to be established and implemented differently, depending on the season and time.

scholarly journals An Innovative Method for Estimating the Spatial Distribution of Parking Demand in Different Areas

2018 ◽  
Vol 4 (6) ◽  
pp. 1374
Author(s):  
Nafiseh Hosseini ◽  
Ali Khoshgard
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Urban Areas ◽  
Central Area ◽  
The Real ◽  
Traffic System ◽  
Innovative Method ◽  
Surrounding Areas ◽  
Parking Demand ◽  
Parking Facilities

Parking facilities in the urban road network are of the most essential parts of the transportation and traffic system. Considering that many users are not interested in parking in or near the destination zone, or in some cases it is not basically possible to park in this area, the parking demand in each area is not merely associated with the actual land use of that area and is sometimes affected by the land use of the surrounding area. Therefore, estimating the spatial distribution of parking demand is essential to accurately determine the real parking demand, especially in non-marginal urban areas. In conventional methods of estimating the parking demand in each area, it is assumed that the parking areas are located in the same area or distributed uniformly in the surrounding areas, without considering the desirability of the surrounding areas, which has sometimes led to unrealistic estimations. Accordingly, new methods, capable of estimating the real parking demand in each area, are needed. In present study, an innovative method is proposed to predict the spatial distribution of parking demand and then it is applied to the central area of Tehran.

scholarly journals Land-Use/Land-Cover Change Analysis and Urban Growth Modelling in the Greater Accra Metropolitan Area (GAMA), Ghana

Urban Science ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 26 ◽  
Author(s):  
Bright Addae ◽  
Natascha Oppelt
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Urban Growth ◽  
Urban Areas ◽  
City Planning ◽  
Land Use Land Cover ◽  
Vegetative Cover ◽  
Landsat Images ◽  
Urban Extent

A rapid increase in the world’s population over the last century has triggered the transformation of the earth surface, especially in urban areas, where more than half of the global population live. Ghana is no exception and a high population growth rate, coupled with economic development over the last three decades, has transformed the Greater Accra region into a hotspot for massive urban growth. The urban extent of the region has expanded extensively, mainly at the expense of the vegetative cover in the region. Although urbanization presents several opportunities, the environmental and social problems cannot be underestimated. Therefore, the need to estimate the rate and extent of land use/land cover changes in the region and the main drivers of these changes is imperative. Geographic Information Systems (GIS) and remote sensing techniques provide effective tools in studying and monitoring land-use/land-cover change over space and time. A post classification change detection of multiple Landsat images was conducted to map and analyse the extent and rate of land use/land cover change in the region between 1991 and 2015. Subsequently, the urban extent of the region was forecasted for the year 2025 using the Markov Chain and the Multi-Layer Perceptron neural network, together with drivers representing proximity, biophysical, and socio-economic variables. The results from the research revealed that built-up areas increased by 277% over the 24-year study period. However, forest areas experienced massive reduction, diminishing from 34% in 1991 to 6.5% in 2015. The 2025 projected land use map revealed that the urban extent will massively increase to cover 70% of the study area, as compared to 44% in 2015. The urban extent is also anticipated to spill into the adjoining districts mainly on the western and eastern sides of the region. The success of this research in generating a future land-use map for 2025, together with the other significant findings, demonstrates the usefulness of spatial models as tools for sustainable city planning and environmental management, especially for urban planners in developing countries.

scholarly journals Comparative analysis of city planning and land use change in Bangkok, Thailand, by using remote sensing and GIS

2018 ◽  
Vol 192 ◽  
pp. 02064 ◽  
Author(s):  
Suvimon Posuk ◽  
Yoshitaka Kajita ◽  
Arthit Petchsasithon
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Comparative Analysis ◽  
Land Use Change ◽  
Urban Area ◽  
Urban Areas ◽  
City Planning ◽  
Remote Sensing And Gis ◽  
Planning System ◽  
Comprehensive Plan

This study proposed the comparative analysis of city planning and land use change by using remote sensing and GIS in Bangkok, Thailand. Bangkok had been developed and faced many land use problems. If the problems were not controlled, it will cause more problems in the future. Therefore, this study suggested the solution to solve occurring land use problems in Bangkok. Which, remote sensing was used to do the land survey and automatically map urban land cover from Landsat time-series satellite imagery. Then, the change of urban area and Bangkok Comprehensive Plan were compared by GIS. And, the results showed that urban area in Bangkok increased 403.99 km2 over the past 21 years. While rural and agricultural zone in Bangkok Comprehensive Plan decreased due to residential area expansion. So, Area Division System and the district plan from urban planning system of Japan can solve the problems by developing the city and controlling urban areas expansion.

Characterization of surface runoff in urban areas

2002 ◽  
Vol 45 (9) ◽  
pp. 249-254 ◽  
Author(s):  
J.S. Choe ◽  
K.W. Bang ◽  
J.H. Lee
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Runoff ◽  
Urban Areas ◽  
Land Use Type ◽  
Industrial Zone ◽  
Physical Treatment ◽  
Industry Type ◽  
Hexane Extracts ◽  
Industrial Zones

Water quality measurements of surface runoff have been carried out in selected residential and industrial zones in urban areas, in which yearly mean precipitation is 1,225 mm. The concentrations of constituents in the surface runoff were measured at sampling sites categorized by land use type in the residential zone, and by industry type in the industrial zone. The water quality constituents of BOD5, COD, SS, NO3-N, TKN, PO4-P, TP, n-Hexane extracts, Cr, Cu, Pb and Fe were analyzed. The event mean concentrations (EMCs) of COD, SS, TKN and TP in the residential zone were 313 mg/L, 279 mg/L, 8.45 mg/L, 1.98 mg/L, and those in the industrial zone were 80 mg/L, 106 mg/L, 5.07 mg/L, and 1.93 mg/L, respectively. Cumulative load curves were created to analyze the first-flushing effect of each pollutant related to the pollutant, the rainfall event, and the land use type. No general relationship between the cumulative load and runoff has been established. The degree of first-flushing effect by constituents was in the following order; TKN>COD>SS>HEM>TP>PO4-P. The correlations between SS and other constituents were analyzed to evaluate the efficiency of the physical treatment process to control the surface runoff in urban areas. Based on the correlation of constituents with SS, high treatment efficiency of SS, heavy metals, organic matter, and TP was expected. The unit pollutant loading rates of COD, SS, TKN, TP, Cr and Pb in the residential zone were 2,392, 2,130, 64.6, 15.1, 0.31, and 1.83 kg/ha/yr, and those in the industrial zone were 612, 812, 38.7, 14.8, 0.51 and 0.82 kg/ha/yr, respectively.

scholarly journals Visual Analytics for Regional Economic Environment Factors Based on a Dashboard Design

2019 ◽  
Vol 2 ◽  
pp. 1-8
Author(s):  
Chenyu Zuo ◽  
Linfang Ding ◽  
Liqiu Meng
Keyword(s):  
Land Use ◽  
Visual Analytics ◽  
Urban Areas ◽  
City Planning ◽  
Economic Indicator ◽  
Economic Environment ◽  
Geographic Scale ◽  
Regional Economic ◽  
Company Strategy ◽  
Strategy Planning

<p><strong>Abstract.</strong> Economic environment is vital for commercial investment, city planning and company strategy planning in urban areas. Mastering the economical trend may help the entrepreneurs, government officers and individuals in their decision-making process. In this study, we explore multiple geo-economic datasets using visual analytics methods for understanding the economic environment. More specifically, we user time-series Gross Domestic Product (GDP) data as an economic indicator of economic development and land use data to support the spatial analysis at a refined geographic scale. The spatiotemporal patterns of the regional economic environment are revealed both qualitatively and quantitatively. The work has a three-fold contributions: (1) we apply a grid-based spatial interpolation model to derive GDP values at a file granularity based on land use data; (2) we design a novel interactive dashboard for the GDP data exploration, which serves as a visual analytical tool between data and users; (3) we combine quantitative analysis with visualizations to strengthen the qualitative analysis. The feasibility of visual analytics methods and the dashboard design are tested in one of the most developed regions, Jiangsu Province, China. Both expected and unexpected economical patterns were extracted.</p>

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