Much of our understanding urban systems comes from traditional data collection methods such as surveys by person or phone. These approaches can provide detailed information about behaviors, but they're hard to update and might limit results "snapshots in time." In the past few years, some innovative have sought use mobile devices collect spatiotemporal data. But little research has been done develop analyze much larger samples existing generated daily networks. The most common explanation...

Do regional boundaries defined by governments respect the more natural ways that people interact across space? This paper proposes a novel, fine-grained approach to delineation, based on analyzing networks of billions individual human transactions. Given geographical area and some measure strength links between its inhabitants, we show how partition into smaller, non-overlapping regions while minimizing disruption each person's links. We tested our method largest non-Internet network,...

Several attempts have already been made to use telecommunications networks for urban research, but the datasets employed typically neither dynamic nor fine grained. Against this research ...

Recent developments in the field of machine learning offer new ways modelling complex socio-spatial processes, allowing us to make predictions about how and where they might manifest future. Drawing on earlier empirical theoretical attempts understand gentrification urban change, this paper shows it is possible analyse existing patterns processes neighbourhood change identify areas likely experience This evidenced through an analysis socio-economic transition London neighbourhoods (based...

Researchers use eigendecomposition to leverage MIT's Wi-Fi network activity data and analyze the physical environment. We proposed a method categorize wireless access points based on common usage characteristics that reflect real-world, placed-based behaviors. It uses study at Massahusetts Institute of Technology (MIT), correlating generated as byproduct with Our approach provides an instant survey building across entire campus surprisingly fine-grained level. The resulting eigenplaces have...

Abstract The discipline of Geography has long been intertwined with the use computers. This close interaction is likely to increase embeddedness computers and concomitant growth spatially referenced data. To better understand current situation, be able speculate about future, this article provides two parallel perspectives: first, we offer an historical perspective on relationship between computers; second, document developments—in particular nascent field data science—that are currently...

Abstract Research on gender in higher education frequently focuses micro‐ or macro‐scale factors—power relations and working practices, disciplinary norms the educational ‘pipeline’—overlooking meso‐scale of ‘place’ embodied departments institutions. This study bridges that gap by applying data science multilevel modelling within a quantitative feminist geographical framework to analyse gendered PhD completion patterns UK from 1990 2020. Using British Library's E‐Thesis Online Service...

This article examines the gendered dynamics of geography PhD study in United Kingdom, addressing historical, spatial, and disciplinary patterns female representation. Using metadata from British Library's E-Theses Online Service (EThOS), we see a marked rise graduates since 1980s, with gender gap narrowing significantly recent decades. The year completion explains 18 percent variance observed data, but institutional disparities persist: Human PhDs are more gender-balanced, whereas physical...

Build-to-Rent (BTR) developments have expanded rapidly in the UK since 2013, often advertised as providing better quality rented accommodation for university-educated Millennials than available elsewhere private rental sector. However, implications of this type housing development, and especially its affordability, are poorly understood at city scale, partly due to a lack evidence where these cluster what they add stock terms property type, amenities cost. This article draws on data relating...

Public transport is perhaps the most significant component of contemporary smart city currently being automated using sensor technologies that generate data about human behaviour. This largely due to fact travel associated with such highly ordered. Travellers move collectively in closed vehicles between fixed stops and their entry into from system unambiguous easy automate cards. Flows can thus be easily calculated at specific station locations bus within fine temporal intervals. Here we...

The UK has had a long-standing regional house price gap with prices in London much higher than the rest of UK. Using data from 1969 to 2016 we track differentials through several cycles boom and bust, note growing divergence London, particularly central Britain. In explaining this divergence, highlight importance international investment since global financial crisis. We conclude that, although 'Brexit' may have brought latest long close, there is nothing suggest that will close. Given...

We are building a series of fast, visually accessible, cross-sectional, hence static urban models for large metropolitan areas that will enable us to rapidly test many different scenarios pertaining both short-term and long-term futures. call this framework SIMULACRA which is forum developing model variants can be finely tuned problem contexts future scenarios. The multisector, dealing with residential, retail/service, employment location, highly disaggregate, subject constraints on land...

Reades J. and Smith D. A. Mapping the 'space of flows': geography global business telecommunications employment specialization in London mega-city-region, Regional Studies. Telecommunications has radically reshaped way that firms organize industrial activity. And yet, because much this technology – interactions it enables is invisible, corporate flows' remains poorly mapped. This article combines detailed telecoms usage data for South-east England to build a sector-by-sector profile...

There are multiple challenges in fighting a global pandemic cities where disease can spread through crowded transit systems, shopping centres and workplaces, but it seems self-evident that encouraging people to work at home, if possible, is the most obvious measure reduce transmission of COVID-19 Homeworking has quickly become 'new normal' for those able remotely, with only 'frontline' workers encouraged travel Here, Hubbard et al explore how adapting this 'brave new world'


 The proliferation of large, complex data spatial sets presents challenges to the way that regional science—and geography more widely—is researched and taught. Increasingly, it is not ‘just’ quantitative skills are needed, but computational ones. However, majority undergraduate programmes have yet offer much than a one-off ‘GIS programming’ class since such courses seen as challenging only for students take, staff deliver. Using evaluation criterion minimal complexity, maximal...

In an era of smart cities, artificial intelligence and machine learning, data is purported to be the ‘new oil’, fuelling increasingly complex analytics assisting us craft invent future cities. This paper outlines role what we know today as big in understanding city includes a summary its evolution. Through critical reflective case study approach, research examines application urban transport for informing planning Sydney. Specifically, card data, with diverse constraints, was used understand...

Over the past 20 years, increasing land values, a rising population and inward investment from overseas have combined to encourage demolition redevelopment of many large council-owned estates across London. While it is now widely speculated that this causing gentrification displacement, extent which has forced low-income households move away their local community remains degree conjectural specific those undergone special scrutiny. Given lack spatially disaggregated migration data allows us...

Women and gender minorities are underrepresented in positions of leadership seniority academia. Research on higher education (HE) has varied scale methodological approach from large-scale global surveys to small-scale projects with interviews focus groups, a noticeable gap the attention given early career researchers doctoral students, ways which their experiences can vary significantly discipline discipline, institution institution, “department-like unit” unit.” Drawing theory link power...

Since 2013, Permitted Development Rights (PDR) in England have allowed commercial-to-residential conversions locations once deemed suitable only for non-residential land-use. This deregulation of planning control has been justified as a way encouraging more home-building areas experiencing ‘housing crisis’, but its overall consequences remain unclear. paper hence compiles quantitative evidence on city-wide scale the price, size, build and location these London 2013–2021. It finds that homes...

In the last decade, UK’s media have highlighted an apparent rise in number of homes below recommended Nationally Described Space Standard for a one-person, one-bed home. However, evidence growth ‘micro-apartments’ is mixed, with existing data making it difficult to map geographies sub-standard Local Authority scale. Focussing on London, this paper uses Energy Performance Certificates (EPCs) as source floorspace data, matching Land Registry’s Price Paid Data (PPD) and information from London...

Understanding and predicting human mobility is a crucial component of range administrative activities, from transportation planning to tourism travel management. In this paper we propose new approach that predicts the location person over time based on both individual collective behaviors. The system draws previous trajectory histories features region—in terms geography, land use, points interest—which might be ‘of interest’ travellers. We test effectiveness our using massive dataset mobile...

Over sixty years ago, geography began its so-called quantitative revolution, where for the first time statistical methods were used to explain spatial nature of geographic phenomena. Computers made some this possible, but their limited power did not allow more than relatively small analytic explorations and consequently many these earlier ideas are now buried in mists time. Here we attempt replicate one early analyses using taxi flow data collected 1962 originally by Goddard (Citation1970;...