Handbook of Urban Geography最新文献_第2页

Urban informatics and e-governance 城市信息学与电子政务

Handbook of Urban Geography Pub Date : 2019-06-28 DOI: 10.4337/9781785364600.00031

B. Warf

引用次数: 0

The right to the city: theoretical outline and reflections on migrants’ activism in post-reform urban China 城市权:改革开放后中国城市流动人口行动主义的理论概述与思考

Handbook of Urban Geography Pub Date : 2019-06-28 DOI: 10.4337/9781785364600.00039

Junxi Qian, Shenjing He

引用次数: 4

Contextualizing neighbourhood activism: spatial solidarity in the city 语境化邻里行动主义:城市的空间团结

Handbook of Urban Geography Pub Date : 2019-06-28 DOI: 10.4337/9781785364600.00040

K. Hankins

引用次数: 0

Urban governance: re-thinking top-down and bottom-up power relations in the wake of neo-liberalization 城市治理:反思新自由化后自上而下与自下而上的权力关系

Handbook of Urban Geography Pub Date : 2019-06-28 DOI: 10.4337/9781785364600.00038

M. Raco, Sonia Freire-Trigo

引用次数: 0

Urban infrastructures: four tensions and their effects 城市基础设施:四种紧张关系及其影响

Handbook of Urban Geography Pub Date : 2019-06-28 DOI: 10.4337/9781785364600.00019

T. Schwanen, Denver V. Nixon

引用次数: 4

Refugee mobility across networks and cities 难民在网络和城市间的流动

Handbook of Urban Geography Pub Date : 2019-06-28 DOI: 10.4337/9781785364600.00018

I. Liempt, F. Vecchio

引用次数: 1

Emerging city regions: urban expansion, transformation and discursive construction 新兴城市区域:城市扩张、转型与话语建构

Handbook of Urban Geography Pub Date : 2019-06-28 DOI: 10.4337/9781785364600.00021

M. Hesse

引用次数: 1

Exploring insurgent urban mobilizations: from urban social movements to urban political movements? 探索反叛的城市动员:从城市社会运动到城市政治运动?

Handbook of Urban Geography Pub Date : 2019-06-28 DOI: 10.4337/9781785364600.00037

Lazaros Karaliotas, E. Swyngedouw

引用次数: 9

Metropolitan mobilities: transnational urban labour markets 都市流动:跨国都市劳动力市场

Handbook of Urban Geography Pub Date : 2018-07-01 DOI: 10.4337/9781785364600.00017

C. McIlwaine, Megan Ryburn

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引用次数: 2

Big data and the city 大数据与城市

Handbook of Urban Geography Pub Date : 2017-05-10 DOI: 10.4337/9781785364600.00013

Matthew Zook, Taylor Shelton, A. Poorthuis

{"title":"Big data and the city","authors":"Matthew Zook, Taylor Shelton, A. Poorthuis","doi":"10.4337/9781785364600.00013","DOIUrl":"https://doi.org/10.4337/9781785364600.00013","url":null,"abstract":"As more and more aspects of contemporary urban society are tracked and quantified, the emerging cloud of so-called ‘big data’ is widely considered to represent a fundamental change in the way we interact with and understand cities. For some proponents of big data, like Anderson (2008), big data means the ‘end of theory’ and the ability to let “the numbers speak for themselves”. These emerging data-driven understandings of cities often run counter to a more theoretical and heterodox approach to urban geography and it is worth noting that these trends also pre-date the emergence of what we now call ‘big data’. In order to illustrate the potential of big data for urban geographic research, we explore how these data sources and methods might be usefully applied to the persistent question of gentrification. We first review how gentrification has been defined and measured in the existing literature, and how these definitions and metrics have shaped our understandings of the process. Next, we outline nascent attempts to use big data, especially social media data, to understand gentrification. We pay attention to more ‘naive’ approaches that draw upon big data but in ways that do not fully engage with its messy and complicated nature, or which fail to connect with longer standing approaches within urban geography. We then contrast these perspectives with a range of more constructive possibilities for using big data to study gentrification that build from existing scholarship and recognize both the advantages and disadvantages of big data over other more conventional forms of data used in previous research. In short, we argue that big data is unlikely to be a panacea for empirical studies of gentrification, or for any particular urban issue of interest, and the “multidimensionality of gentrification” still means that “the use of a single variable to identify it is almost certain to fail” (Bostic and Martin 2003: 2431). We do argue, however, that big data can supplement existing data sources and provide a richer understanding of the multiple social and spatial processes that characterize the process of gentrification, its constituent parts, causes and effects.","PeriodicalId":277828,"journal":{"name":"Handbook of Urban Geography","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115230654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3