Seoul's Wi-Fi hotspots: Wi-Fi access points as an indicator of urban vitality

Kim, Young-Long

doi:10.1016/j.compenvurbsys.2018.06.004

Cited by 102 publications

(54 citation statements)

References 68 publications

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“…Urban vitality can also be characterized from the perspectives of employment data, economic development level, and cultural exchange [25,26,27]. From a residential movement perspective, urban space vitality reflects the diversity of urban life produced by human convergence and activities [28].…”

Section: Related Workmentioning

confidence: 99%

Impacts of Built Environment on Urban Vitality: Regression Analyses of Beijing and Chengdu, China

Shi

Yang

2019

IJERPH

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The loss of urban vitality is an important problem in the development of urban central areas. Analyzing the correlation between urban built environment and urban vitality supports urban planning and design. However, current research excludes the study of how consistent built environment factors affect urban vitality of cities with different development situations. Therefore, using social media check-in data, this paper measures neighborhood vibrancy in urban central areas in Beijing and Chengdu, China. Four levels of spatial information were used to measure the built environment: regulatory planning management unit (RPMU), land use, road network, and building. Regression model is used to quantify the correlation between urban vitality and the built environment of these two cities. The study found a strong correlation between built environment factors and urban vitality. Among the built environment factors, points of interest (POI) diversity and public transport accessibility indicators were strongly positively correlated with neighborhood vibrancy. However, the density indicators had totally different effects on urban vitality of cities with different development situations, which is excluded in existing studies. This research strengthens the practical understanding of the compact city concept, and can support the design and planning of urban built environment.

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Section: Related Workmentioning

confidence: 99%

Impacts of Built Environment on Urban Vitality: Regression Analyses of Beijing and Chengdu, China

Shi

Yang

2019

IJERPH

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“…While there has been significant engineering research on 5G, there has been little geospatial assessment of infrastructure needs. This is despite many computational urban and environmental researchers developing new technologies which need digital connectivity for a range of use cases including river monitoring (Ueyama et al, 2017), detection of forest fires (Aslan, Korpeoglu, & Ulusoy, 2012;Ballari, Wachowicz, Bregt, & Manso-Callejo, 2012), monitoring waste and surface water runoff (Rettig, Khanna, Heintzelman, & Beck, 2014;Sempere-Payá & Santonja-Climent, 2012), congestion analysis (Kan et al, 2019) and assessing urban movements (Kim, 2018).…”

Section: Introductionmentioning

confidence: 99%

The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc

Oughton

Russell

2020

Computers, Environment and Urban Systems

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The roll-out of 5G infrastructure can provide enhanced high capacity, low latency communications enabling a range of new use cases. However, to deliver the improvements 5G promises, we need to understand how to enhance capacity and coverage, at reasonable cost, across space and over time. In this paper, we take a spatiotemporal simulation modeling approach, using industry-standard engineering models of 5G wireless networks, to test how different infrastructure strategies perform under scenarios of uncertain future demand. We use coupled open-source models to analyze a UK growth corridor, a system-of-cities comprising 7 urban areas, known as the Oxford-Cambridge Arc. We find that population growth has a marginal impact on total demand for 5G (up to 15%), as the main factor driving demand is the increase in per user data consumption resulting mainly from video. Additionally, the results suggest only limited justification for deploying 5G based purely on the need for more capacity. Strategies which reuse existing brownfield Macro Cell sites are enough to meet future demand for Enhanced Mobile Broadband, except in the densest urban areas. While spatio-temporal analysis of infrastructure is common in some sectors (e.g. transport, energy and water), there has been a lack of open analysis of digital infrastructure. This study makes a novel contribution by providing an open and reproducible spatiotemporal assessment of different 5G technologies at a time when 5G is starting to roll-out around the world.

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“…Over the past few decades, the pervasive technologies like cellular networks, GPS devices, and Wi-Fi hotspots have experienced an explosion of development. These datasets are a way to capture human mobility in a higher spatial and temporal granularity (Bagrow & Lin, 2012;Kim, 2018;Yang et al, 2018). Indeed, these kinds of wealth information reflect various aspects of urban life from the perspective of mobility, consumption and environmental impact.…”

Section: Introductionmentioning

confidence: 99%

Understanding Spatial and Temporal Change Patterns of Population in Urban Areas Using Mobile Phone Data

2020

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The wide application of information computing technology has allowed for the emergence of big data on tracing human activities. Therefore, it provides an opportunity to explore temporal profile of population changes in geographical area subdivisions. In this paper, we present a multi-step method to characterize and approximate temporal changes of population in a geographical area subdivision using eigen decomposition. Datasets in weekday and weekend are decomposed to obtain the principal temporal change profiles in Xiamen, China. The Principal Components are common patterns of temporal population changes shared by most geographical area subdivisions. Its corresponding elements in eigenvectors could be regard as a coefficient to principal components. Then, a measure, which is the similarity of each eigenvector to a basis vector, that could characterize the temporal population change is established. Based on this, the coupling interaction between population changes and land use characteristics is explored using this measure. It shows that it is restricted by land use characteristics and also is a reflection of population changes over time. These results provided an insight on understanding temporal population change patterns and it would help to improve urban planning and establish a job-housing balance., 0 Web of Conferences https://doi.org/10.

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Seoul's Wi-Fi hotspots: Wi-Fi access points as an indicator of urban vitality

Cited by 102 publications

References 68 publications

Impacts of Built Environment on Urban Vitality: Regression Analyses of Beijing and Chengdu, China

Impacts of Built Environment on Urban Vitality: Regression Analyses of Beijing and Chengdu, China

The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc

Understanding Spatial and Temporal Change Patterns of Population in Urban Areas Using Mobile Phone Data

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