Public Perception of Environmental, Social and Economic Impacts of Urban Sprawl in Vilnius

Pereira, Paulo; Monkevičius, Algirdas; Siarova, Hanna

doi:10.13165/sms-14-6-2-03

Cited by 15 publications

(13 citation statements)

References 64 publications

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“…Taking the land cover features of the CZT into account, a modified version of the land use classification was developed [3,16]. The categories include: (1) water, (2) bare soil, (3) built-up, (4) agricultural land, (5) forest, and (6) green land. Green land refers to the open forest land, grass land, and urban green land (i.e., parks, lawns, and other urban open green spaces).…”

Section: Land Use/cover Classificationmentioning

confidence: 99%

“…Urban sprawl, one of the most significant causes of the increasingly severe air pollution in the world [1][2][3], has made recent headlines in peer-reviewed journals of economics, urban planning, and public health [4][5][6][7]. As a direct result of urban sprawl, land use/cover changes (LUCC), as well as their spatial distribution (i.e., landscape pattern) variations may affect pollutants emission indirectly through industrial layout, travel behavior, and other human activities [3,8,9].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Land Use and Cover Change on Air Quality in Urban Sprawl

Zou

Sternberg

et al. 2016

Sustainability

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Due to the frequent urban air pollution episodes worldwide recently, decision-makers and government agencies are struggling for sustainable strategies to optimize urban land use/cover change (LUCC) and improve the air quality. This study, thus, aims to identify the underlying relationships between PM 10 concentration variations and LUCC based on the simulated PM 10 surfaces in 2006 and 2013 in the Changsha-Zhuzhou-Xiangtan agglomeration (CZT), using a regression modeling approach. LUCC variables and associated landscape indexes are developed and correlated with PM 10 concentration variations at grid level. Results reveal that the overall mean PM 10 concentrations in the CZT declined from 106.74 µg/m 3 to 94.37 µg/m 3 between 2006 and 2013. Generally, variations of PM 10 concentrations are positively correlated with the increasing built-up area, and negatively correlated with the increase in forests. In newly-developed built-up areas, PM 10 concentrations declined with the increment of the landscape shape index and the Shannon diversity index and increased with the growing Aggregation index and Contagion index. In other areas, however, the reverse happens. These results suggest that LUCC caused by urban sprawl might be an important factor for the PM 10 concentration variation in the CZT. The influence of the landscape pattern on PM 10 concentration may vary in different stages of urban development.

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Section: Land Use/cover Classificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Land Use and Cover Change on Air Quality in Urban Sprawl

Zou

Sternberg

et al. 2016

Sustainability

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“…Socio‐economic fallouts include increased commuting time, traffic congestion, deteriorating public health and infrastructure, social threats and insecurity, loss of community sense and cultural values etc. (Ewing, ; Putnam, ; Pereira et al ., ).…”

Section: Defining Urban Sprawlmentioning

confidence: 97%

Decumbent development: Urban sprawl in the Guwahati Metropolitan Area, India

Pawe

Saikia

2020

Singap J Trop Geogr

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Urban sprawl has become a global phenomenon as an outcome of growing population and rapid urbanization. Previous studies have addressed the rising incidence of uncontrollable urban development, particularly in peri‐urban areas of cities, leading to chronic urban sprawl. The city of Guwahati, a million city in north east India, has expanded significantly in recent years. In this article, the links between population and growth of built‐up areas were examined using geo‐spatial techniques and remotely sensed datasets. The results indicate that the sprawl has accentuated in recent years. The intensity of land use remained uneven due to marked variations in the distribution of built‐up areas, plausibly an outcome of unplanned urban growth. If current trends are anything to go by, future urban sprawl could pose serious threats to the vulnerable eco‐sensitive and peri‐urban areas of Guwahati. Secondary cities have unfortunately received scant attention in urban policy research, and Guwahati, epitomizes urban woes in a developing country.

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“…The increase in precipitation amount, intensity, and frequency in urban areas is expected to produce an increase in the peak and volume of storm runoff (Rawlins et al 2015;Zahmatkesh et al 2014), transporting a high quantity of sediments and pollutants to water bodies. To mitigate the impacts of climate change in urban areas, it is important to reduce soil surface sealing, limit urban sprawl, favor the development of green infrastructure, and favor policies that promote compact cities and green roof implementation (Pereira et al 2014). Green roof development contributes to decreased greenhouse emissions, building energy consumption, urban heat island effect, and runoff (Berardi et al 2014).…”

mentioning

confidence: 99%