The land-use of Bandung, its density, overcrowded area and public facility toward a compact city

Paramita, Beta

doi:10.1088/1757-899x/128/1/012034

Cited by 10 publications

(6 citation statements)

References 2 publications

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“…Bandung City contributes significantly to the economy of Indonesia, with 2,470,802 citizens recorded as inhabiting a land area of 167.67 km 2 , bringing the density of Bandung City to 14.736 people/km 2 . The population growth rate of Bandung City from 2005 to 2010 was reported to be 1.15%, as the region has developed into a metropolitan area ( Paramita, 2016 ). The Visible Infrared Imaging Radiometer Suite Day–Night Band onboard the Suomi National Polar-orbiting Partnership satellite provides cloud-free nighttime images, which can be applied for broad socio-economic purposes ( Elvidge et al., 2017 ; Bennett and Smith, 2017 ; Wang et al., 2018 ; Proville et al., 2017 ).…”

Section: The Brightness Datamentioning

confidence: 99%

Measurements of sky brightness at Bosscha Observatory, Indonesia

Herdiwijaya

Satyaningsih

Luthfiandari

et al. 2020

Heliyon

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To determine the level of light pollution due to human activities, we performed sky-brightness measurements at Bosscha Observatory, Indonesia (107°36′E; 6°49′S, 1300 m above sea level) for seven years from 2011 to 2018, using a portable photometer pointed at the zenith. From 1692 nightly records, we found that the average brightness on moonless nights reached the 19.70 ± 0.84 and 19.01 ± 0.88 astronomical magnitudes per square arcsecond (mpass), with median values of 19.73 mpass and 19.03 mpass for the AM and PM periods, respectively. The darkest skies occurred in the peak of the summer season during the month of July, which corresponds to the lowest annual temperature, precipitation, and relative humidity. The internal temperature of our Sky Quality Meter is adequately stable, and our results correlate well with other measurements. The sky brightness depends on the age of the Moon (days past new Moon) and on seasonal monthly variations, but it is not related to the lunar distance. The night-SB quality can be modified by the coupled climate system as a diurnal cycle to an 11-year solar cycle. The cities around the Observatory, Bandung and Lembang, clearly make strong contributions to light pollution in the area due to unshielded light sources.

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Section: The Brightness Datamentioning

confidence: 99%

Measurements of sky brightness at Bosscha Observatory, Indonesia

Herdiwijaya

Satyaningsih

Luthfiandari

et al. 2020

Heliyon

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“…High-risk areas of dengue incidences were mostly located in Bandung’s downtown, in the intersection of the area between Cibeunying, Karees, Tegalega, and Bojanegara. This area is one of the most economically productive in Bandung, where most of the best public services (education, government, health), industries, commercial enterprises, and recreation are concentrated and the rate of population growth is considered higher than in other regions due to a higher birth rate and urbanization [ 63 ]. This result supports previous studies that showed dengue incidence correlated with urban growth and urbanization [ 64 – 69 ].…”

Section: Discussionmentioning

confidence: 99%

Spatial and temporal analysis of hospitalized dengue patients in Bandung: demographics and risk

et al. 2021

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Background Bandung, the fourth largest city in Indonesia and capital of West Java province, has been considered a major endemic area of dengue, and studies show that the incidence in this city could increase and spread rapidly. At the same time, estimation of incidence could be inaccurate due to a lack of reliable surveillance systems. To provide strategic information for the dengue control program in the face of limited capacity, this study used spatial pattern analysis of a possible outbreak of dengue cases, through the Geographic Information System (GIS). To further enhance the information needed for effective policymaking, we also analyzed the demographic pattern of dengue cases. Methods Monthly reports of dengue cases from January 2014 to December 2016 from 16 hospitals in Bandung were collected as the database, which consisted of address, sex, age, and code to anonymize the patients. The address was then transformed into geocoding and used to estimate the relative risk of a particular area’s developing a cluster of dengue cases. We used the kernel density estimation method to analyze the dynamics of change of dengue cases. Results The model showed that the spatial cluster of the relative risk of dengue incidence was relatively unchanged for 3 years. Dengue high-risk areas predominated in the southern and southeastern parts of Bandung, while low-risk areas were found mostly in its western and northeastern regions. The kernel density estimation showed strong cluster groups of dengue cases in the city. Conclusions This study demonstrated a strong pattern of reported cases related to specific demographic groups (males and children). Furthermore, spatial analysis using GIS also visualized the dynamic development of the aggregation of disease incidence (hotspots) for dengue cases in Bandung. These data may provide strategic information for the planning and design of dengue control programs.

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“…The urban sprawl of urban areas from the earliest stages until now is the result of several internal and external factors [1]. One of the most serious problems in the 21st century is global population growth and its consequent urban sprawl, particularly in developing countries [2]. This trend, which is observed in developing countries, has emerged in Ulaanbaatar city since the 1990s in relation to the country's shift from a socialist to a market-oriented economy [3].…”

Section: Introductionmentioning

confidence: 99%

Estimating the Impact of Urban Planning Concepts on Reducing the Urban Sprawl of Ulaanbaatar City Using Certain Spatial Indicators

Batsuuri

Fürst

Myagmarsuren

2020

Land

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The urban sprawl process of Ulaanbaatar has changed dramatically due to population growth. Ulaanbaatar city land management master plan defined the settlement zone area suitable for living as 33,698 ha. However, due to unrestricted urban sprawl caused by the exponential growth of the city’s population, the settlement zone area reached 39,235 ha, which exceeds the limit by 5537 ha. In order to tackle this issue, several urban planning concepts were developed to be implemented within Ulaanbaatar city urban planning framework. It is, in any case, problematic to choose a single planning concept due to the fact that neither measurements nor analyses are being made of the respective spatial indicators in urban planning assumptions that are taking urban form into consideration. One of the prerequisites for identifying an optimal concept in urban planning is an assessment of urban form, and measuring the impacts against its spatial data. This study uses 1990–2020 satellite image data to investigate the urban form of Ulaanbaatar with a future action plan. Using remote sensing and GIS technology, Ulaanbaatar city sprawl was analyzed for defining urban form, and consequent results were obtained by comparatively measuring the impacts of monocentric, polycentric, and compact city concepts on city sprawl by applying spatial indicators that have been used in the world’s major cities. The study results show that the compact city concept is the optimal solution to reduce uncontrolled city sprawl based on a technical point of view. This will lower Ulaanbaatar’s sprawl threefold and compress the urban settlement area down from 39,235 ha to 12,479 ha.

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The land-use of Bandung, its density, overcrowded area and public facility toward a compact city

Cited by 10 publications

References 2 publications

Measurements of sky brightness at Bosscha Observatory, Indonesia

Measurements of sky brightness at Bosscha Observatory, Indonesia

Spatial and temporal analysis of hospitalized dengue patients in Bandung: demographics and risk

Estimating the Impact of Urban Planning Concepts on Reducing the Urban Sprawl of Ulaanbaatar City Using Certain Spatial Indicators

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