Spatiotemporal Analysis of Human Mobility in Manila Metropolitan Area with Person-Trip Data

Liu, Kai

doi:10.3390/urbansci2010003

Cited by 12 publications

(5 citation statements)

References 22 publications

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“…In the context of the oriental world, the situations of labour division, family responsibility, human lifestyle and migration are usually accompanied by great differences in gender and age (e.g. Liu 2018; Wako, et al, 2001). As mentioned in the Introduction section, Chinese RMWs’ periodic migration behaviour has some specific features.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The three vast UAs, that is, BTH, YRD and PRD, are the most developed and populated urban areas in China, as they accounted for 9.0% (BTH), 19.8% (YRD) and 8.6% (PRD) of the national GDP and 7.9% (BTH), 17.1% (YRD) and 9.3% (PRD) of the country's total densely inhabited district population in 2018(China.org.cn, 2019. Based on our calculation and the official figures (cf.…”

Section: China's Three Major Urban Agglomerationsmentioning

confidence: 99%

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Using mobile phone big data to discover the spatial patterns of rural migrant workers’ return to work in China’s three urban agglomerations in the post-COVID-19 era

Liu

Zhao

Wan

et al. 2022

Environment and Planning B: Urban Analytics and City Science

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Knowing how workers return to work is a key policymaking issue for economic recovery in the post-COVID-19 era. This paper uses country-wide time-series mobile phone big data (comparing monthly and annual figures), obtained between February 2019 and October 2019 and between February 2020 and October 2020, to discover the spatial patterns of rural migrant workers’ (RMWs’) return to work in China’s three urban agglomerations (UAs): the Beijing–Tianjin–Hebei Region, the Yangtze River Delta and the Pearl River Delta. Spatial patterns of RMWs’ return to work and how these patterns vary with location, city level and human attribute were investigated using the fine-scale social sensing related to post-pandemic human mobility. The results confirmed the multidimensional spatiotemporal differentiations, interaction effects between variable pairs and effects of the actual situation on the changing patterns of RMWs’ return to work. The spatial patterns of RMWs’ return to work in China’s major three UAs can be regarded as a comprehensive and complex interaction result accompanying the nationwide population redistribution, which was affected by various hidden factors. Our findings provide crucial implications and suggestions for data-informed policy decisions for a harmonious society in the post-COVID-19 era.

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Section: Literature Reviewmentioning

confidence: 99%

Section: China's Three Major Urban Agglomerationsmentioning

confidence: 99%

Using mobile phone big data to discover the spatial patterns of rural migrant workers’ return to work in China’s three urban agglomerations in the post-COVID-19 era

Liu

Zhao

Wan

et al. 2022

Environment and Planning B: Urban Analytics and City Science

Self Cite

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“…This corresponds to how commercial activities in many cities occur in clusters thus creating more than one centre of activity, which reduces the importance of CBDs as these other centres begin to accommodate commercial activities. The nuclei with their clusters of activities benefit from being located close to one another as this locational arrangement creates synergies and allows shorter transport links from one economic centre of activity to another, creating several nuclei in parts of the city other than the CBD, hence the name Multiple Nuclei Growth model (Liu, 2018).…”

Section: Etropic: Electronic Journal Of Studies In the Tropicsmentioning

confidence: 99%

Urban Design and Economic Growth: An Analytical Tale of Two Tropical Cities

Chaiechi

Wong

Tavares

2020

eTropic

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Federal and local governments around the world usually hail urbanisation as a sign of economic progress. However, the relationship is not that simple. The existence of agglomeration economies does not mean that urbanisation will directly result in positive economic outcomes. Also, there is significant diversity in urban growth patterns, with each pattern resulting in different economic and social outcomes. The diversity in patterns of urban growth and transformation implies that different economies can grow at different speeds in achieving socioeconomic goals. This study explores the urban development of two tropical cities – Cairns and Singapore – with a focus on their different urban growth patterns. Cairns is an expanding tropical Australian city located far from main urban centres, meaning it needs attention to foster positive change that will produce distinctive urban spaces which improve quality of life while providing economic growth opportunities. The city of Singapore is a tropical island-state situated near the equator with limited land and natural resources, and one of the largest urban populations in Southeast Asia. Its landscapes are constantly changing as urban planning plays a key role in formulating and guiding the physical terrains of modern Singapore, thereby shaping the quality of life of its population.

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“…However, the irrational spatial agglomeration of urban spatial elements has also led to an imbalanced distribution of urban spatial elements, exhibiting unreasonable concentration and dispersion across different scales [10,11]. For example, the imbalance in facility allocation and job-housing has given rise to numerous urban issues and compromised the quality of urbanization [12,13]. Analyzing the spatial agglomeration pattern and the evolutionary characteristics of urban elements facilitates a rational understanding of development rules and trends, as well as the recognition of urban development challenges, thus achieving the healthy and sustainable development of cities.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Evolution of the Characteristics of Spatially Aggregated Elements in an Urban Area: A Case Study of Wuhan, China

Sun,

Kang,

Jiao

et al. 2023

IJGI

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Urban spatial elements present agglomeration and dispersion geographic processes in the urban development. Identifying the characteristics of their distribution changes and accurately capturing the evolution of the urban spatial structure is of great significance to urban construction and management. This study takes Wuhan as a case study and focuses on the spatial agglomeration distribution of urban elements. Point of Interest (POI) data from 2017 to 2021 were collected, and the Block2Vec model was employed to extract the comprehensive geographic information from various elements within the traffic analysis zones (TAZs). Subsequently, identification and division were carried out to access the level of urban spatial element agglomeration. Finally, the spatial–temporal evolution characteristics of urban aggregated elements in the Wuhan metropolitan development area over five years were compared and analyzed. The results indicate the following: (1) urban elements present an obvious circle structure in their spatial agglomeration, with distinct differences observed among different element types; (2) from 2017 to 2021, the Wuhan urban development zone experienced obvious expansion in urban space; (3) increased agglomeration of spatial elements mainly occurred in the surrounding areas of the city, while some areas in the city center displayed weaker element agglomeration and a reduction in various service facilities. The results demonstrate that the method used in this study could effectively identify the spatial agglomeration distribution of urban elements, as well as accurately distinguishing regions with distinct development characteristics. This approach could provide robust support for optimizing land use and urban spatial planning.

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Spatiotemporal Analysis of Human Mobility in Manila Metropolitan Area with Person-Trip Data

Cited by 12 publications

References 22 publications

Using mobile phone big data to discover the spatial patterns of rural migrant workers’ return to work in China’s three urban agglomerations in the post-COVID-19 era

Using mobile phone big data to discover the spatial patterns of rural migrant workers’ return to work in China’s three urban agglomerations in the post-COVID-19 era

Urban Design and Economic Growth: An Analytical Tale of Two Tropical Cities

Spatial and Temporal Evolution of the Characteristics of Spatially Aggregated Elements in an Urban Area: A Case Study of Wuhan, China

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