Suchergebnisse

Abstract
The expectation of a mass movement out of cities due to the rise of remote work associated with the Covid-19 pandemic, is counter to longstanding theories of the benefits of agglomeration economies. It suggests centrifugal shifts of economic activity which could boost neighbourhood economies at the expense of the downtown core. Using mobile phone data from SafeGraph, we track migration and daily mobility patterns throughout the New York metropolitan area between July 2019 and June 2021. We find that diverse suburban centres and exurban areas have bounced back more quickly than the dense specialised commercial districts in and around Manhattan.

The inadequate supply of electricity in Pakistan disrupts everyday life and hampers industry and business; in this it is an emblematic indicator of the poor quality of urban governance pervasive in much of the Global South. We focus on the governance of Karachi's electricity distribution system, and its spatial unevenness across this sprawling metropolis of 15 million residents which encompasses huge informal settlements alongside upscale housing and commercial plazas. Using a dataset with granular, neighborhood-level electricity data, we apply spatial and statistical modeling techniques to understand how transmission and distribution losses, i.e., the utility's ability to bill for the electricity it supplies, vary across the city. These electricity losses provide a useful lens on the unevenness of urban governance in the city, especially where other sources of detailed socio-economic data are scarce. Our models link losses to higher proportions of residential consumers rather than commercial or industrial. Moreover, based on an analysis of model residuals, we can start to specify the degree to which urban governance is driven by the underlying characteristics of the neighborhood and bring some precision to understanding the spatial distribution of urban governance. Our findings reinforce the importance for governance reforms to be locally situated and informed, while also opening up new possibilities for visualizing electricity governance at a very local level and thus promoting democratic transparency.

The field of urban analytics and city science has seen significant growth and development in the past 20 years. The rise of data science, both in industry and academia, has put new pressures on urban research, but has also allowed for new analytical possibilities. Because of the rapid growth and change in the field, terminology in urban analytics can be vague and unclear. This paper, an abridged synthesis of a panel discussion among scholars in Urban Data Science held at the 2019 American Association of Geographers Conference in Washington, D.C., outlines one discussion seeking a better sense of the conceptual, terminological, social, and ethical challenges faced by researchers in this emergent field. The panel outlines the difficulties of defining what is or is not urban data science, finding that good urban data science must have an expansive role in a successful discipline of "city science." It suggests that "data science" has value as a "signaling" term in industrial or popular science applications, but which may not necessarily be well-understood within purely academic circles. The panel also discusses the normative value of doing urban data science, linking successful practice back to urban life. Overall, this panel report contributes to the wider discussion around urban analytics and city science and about the role of data science in this domain.

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