2021
DOI: 10.1038/s41598-021-87407-4
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Uncovering the socioeconomic facets of human mobility

Abstract: Given the rapid recent trend of urbanization, a better understanding of how urban infrastructure mediates socioeconomic interactions and economic systems is of vital importance. While the accessibility of location-enabled devices as well as large-scale datasets of human activities, has fueled significant advances in our understanding, there is little agreement on the linkage between socioeconomic status and its influence on movement patterns, in particular, the role of inequality. Here, we analyze a heavily ag… Show more

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Cited by 62 publications
(41 citation statements)
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“…Rapid population growth resulting from urbanization has intensified the demand for public service facilities [4]. However, the construction of public service facilities in new areas often lags behind population growth, which can lead to a movement of people to areas with a higher concentration of public service facilities [5]. This may cause demand pressure to be transmitted to surrounding service areas, further leading to a widening area of supply and demand mismatch [6].…”
Section: Introductionmentioning
confidence: 99%
“…Rapid population growth resulting from urbanization has intensified the demand for public service facilities [4]. However, the construction of public service facilities in new areas often lags behind population growth, which can lead to a movement of people to areas with a higher concentration of public service facilities [5]. This may cause demand pressure to be transmitted to surrounding service areas, further leading to a widening area of supply and demand mismatch [6].…”
Section: Introductionmentioning
confidence: 99%
“…Conversely, many of our social and economic activities, such as working, shopping, and socialising hinge on our ability to move. Not surprisingly, human mobility plays a key role in the social and economic development of cities [ 1 3 ]. One example is the economic and social impacts of the mobility restrictions imposed by governments worldwide in 2020 due to the COVID-19 pandemic [ 4 – 7 ].…”
Section: Introductionmentioning
confidence: 99%
“…The spatio-temporal variability of commuting patterns 21 is intertwined with the mode of journey 22 , the population density (i.e. urbanisation level) 23 and the socio-economic status [24][25][26] .…”
Section: Introductionmentioning
confidence: 99%