Data-driven approach to characterize urban vitality: how spatiotemporal context dynamically defines Seoul’s nighttime

Kim, Young-Long

doi:10.1080/13658816.2019.1694680

Cited by 37 publications

(25 citation statements)

References 92 publications

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“…As early as 1964, Brian J. L. Berry proposed the idea of integrating time and space in scientific research (Berry, 1964). This is the embryonic form of the concept of spatiotemporal context (Kim, 2020). Since then, in the field of economic geography the spatiotemporal analysis of economic activities has become an important research field (Chi & Ho, 2018; He et al., 2019).…”

Section: Literature Review Theory and Hypothesismentioning

confidence: 99%

“…The spatiotemporal context is a large‐scale structure at the global level inferred from the underlying structure of companies at the microlevel and interaction at the local level (Gu, 2020; Kim, 2020). Past research has mainly used this bottom‐up approach, and has combined the collective behavior of companies to deduce the spatiotemporal context of industrial competition (Hayashi & Tsuge, 2019; Kulin & Kuenne, 1962).…”

Section: Literature Review Theory and Hypothesismentioning

confidence: 99%

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Spatiotemporal context and firm performance: The mediating effect of strategic interaction

2020

Growth and Change

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Traditional studies of firm performance typically focus on the effect of market structure and rarely consider the impact of the spatiotemporal context in industrial competition. Using a sample of 1,555 listed companies from 2015 to 2018 in China, this study shows that the profit center of gravity tends to move from southeast to northwest, and that there are negative effects on firm performance with distance from the profit center of gravity. Moreover, when controlling for organizational variables, strategic interaction at the local level significantly mediates the relationship between spatiotemporal context at the global level and firm performance at the microlevel. This investigation provides preliminary support for strategic interaction as a significant mediator between spatiotemporal context and firm performance, and further highlights the relevance of spatiotemporal context and strategic interaction in determining firm performance. The results of this study contribute to our understanding of the dynamic mechanism of spatiotemporal context affecting firm performance and the role of strategic interaction at the local level in this relationship, which can improve the existing insights into new economic geography.

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Section: Literature Review Theory and Hypothesismentioning

confidence: 99%

Section: Literature Review Theory and Hypothesismentioning

confidence: 99%

Spatiotemporal context and firm performance: The mediating effect of strategic interaction

2020

Growth and Change

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“…Significant research has been conducted in spatio-temporal analysis for multiple domains including sociology, criminology, economics, biology, health and environmental sciences etc. [37][38][39][40][41][42][43][44]. In the context of health data clustering, using the above-mentioned mechanisms can greatly affect the resulting clusters since the process of clustering is sensitive to space and time scales [45].…”

Section: Related Workmentioning

confidence: 99%

An Integrated Approach for Spatio-Temporal Cholera Disease Hotspot Relation Mining for Public Health Management in Punjab, Pakistan

Khalique

Khan

Butt

et al. 2020

IJERPH

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Public health management can generate actionable results when diseases are studied in context with other candidate factors contributing to disease dynamics. In order to fully understand the interdependent relationships of multiple geospatial features involved in disease dynamics, it is important to construct an effective representation model that is able to reveal the relationship patterns and trends. The purpose of this work is to combine disease incidence spatio-temporal data with other features of interest in a mutlivariate spatio-temporal model for investigating characteristic disease and feature patterns over identified hotspots. We present an integrated approach in the form of a disease management model for analyzing spatio-temporal dynamics of disease in connection with other determinants. Our approach aligns spatio-temporal profiles of disease with other driving factors in public health context to identify hotspots and patterns of disease and features of interest in the identified locations. We evaluate our model against cholera disease outbreaks from 2015–2019 in Punjab province of Pakistan. The experimental results showed that the presented model effectively address the complex dynamics of disease incidences in the presence of other features of interest over a geographic area representing populations and sub populations during a given time. The presented methodology provides an effective mechanism for identifying disease hotspots in multiple dimensions and relation between the hotspots for cost-effective and optimal resource allocation as well as a sound reference for further predictive and forecasting analysis.

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“…• Based on 10 million orders placed in a 3-year time frame in Hong Kong, Zhao et al (2018) conducted three analyses within a logistics-flow framework: (a) spatial analyses identified the displacement and direction of goods flows and found the pattern distinctive from human mobility in an urban setting; (b) network analysis investigated the destination and origin and found that the urban area was increasingly connected with goods shipments and (c) spatial interaction analysis revealed that distance was not influential to the spatial distribution of goods movement. • Using approximately 80 million telecommunication records from the city of Seoul, South Korea, Kim (2019) analyzed the spatiotemporal patterns of nighttime vitality of three different city centers within the city. Functional Principal Component Analysis (FPCA) was used to analyze the data and revealed the dynamics of time span of nighttime, the seasonal variations and regional variations in nighttime.…”

Section: The Special Sectionmentioning

confidence: 99%

Big Spatiotemporal Data Analytics: a research and innovation frontier

Yang

Clarke

Shekhar

et al. 2019

International Journal of Geographical Information Science

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Data-driven approach to characterize urban vitality: how spatiotemporal context dynamically defines Seoul’s nighttime

Cited by 37 publications

References 92 publications

Spatiotemporal context and firm performance: The mediating effect of strategic interaction

Spatiotemporal context and firm performance: The mediating effect of strategic interaction

An Integrated Approach for Spatio-Temporal Cholera Disease Hotspot Relation Mining for Public Health Management in Punjab, Pakistan

Big Spatiotemporal Data Analytics: a research and innovation frontier

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