Justin van Dijk

Justin van Dijk
University College London | UCL · Department of Geography

Doctor of Philosophy

About

27
Publications
5,094
Reads
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266
Citations
Introduction
Human geographer. Data scientist. Teacher. Interested in urban analytics, geo-demographics, urban transport, spatial inequalities, and big data applications in scarce data environments. Extensive experience in the domain of Geographic Information Systems, urban studies, and transport research. Possesses a wide skill set in the field of advanced spatial analysis, including experience with Python programming, R scripting, and PostgreSQL/PostGIS.
Additional affiliations
January 2018 - present
University College London
Position
  • PostDoc Position
March 2014 - December 2017
Stellenbosch University
Position
  • Lecturer
February 2013 - December 2013
Utrecht University
Position
  • Lecturer
Education
January 2014 - December 2017
Stellenbosch University
Field of study
  • Transport Economics
September 2011 - September 2013
Utrecht University
Field of study
  • Human Geography and Planning
September 2007 - August 2011
Utrecht University
Field of study
  • Human Geography and Planning

Publications

Publications (27)
Article
Full-text available
Empirical analysis of social mobility is typically framed by outcomes recorded for only a single, recent generation, ignoring intergenerational preconditions and historical conferment of opportunity. We use the detailed geography of relative deprivation (hardship) to demonstrate that different family groups today experience different intergeneratio...
Article
Full-text available
This paper explores the use of digital footprints data to improve on the limited information available on the size and distribution of the residential housing stock in the United Kingdom over the past two decades. We use a subset of a large dataset consisting of the names and addresses of more than one billion individuals dating back to 1997 (LCRs:...
Article
Full-text available
This paper documents population-wide inequalities of outcome in Great Britain amongst and between long-established and more recently arrived family groups. ‘Establishment’ is defined using family group presence in the 1851 Census of Population as a benchmark, and the ethnicity or nationality of more recent mi- grants is determined through classific...
Article
We develop bespoke geospatial routines to typify 88,457 surnames by their likely ancestral geographic origins within Great Britain. Linking this taxonomy to both historic and contemporary population data sets, we characterize regional populations using surnames that indicate whether their bearers are likely to be long-settled. We extend this approa...
Article
Full-text available
We review creation and maintenance of nationwide individual level Linked Consumer Registers as DigitalFootprints Data and their use to create timely, inclusive annual neighbourhood scale research ready datasets of social and spatial mobility. Outputs include annual estimates of neighbourhood churn, neighbourhood deprivation following moves, energy...
Article
Full-text available
Objectives This research links, for the first time, individual level entire GB population census data for 1851-1911 to present day individual level population registers. Precise georeferencing of individual records using AddressBase Premium and further linkage to Indices of Multiple Deprivation (IMDs) enables family group analysis of inter-generati...
Conference Paper
Full-text available
Gambling harm disrupts the health and wellbeing of the individuals, as well as families, communities and societies around them. Despite the growing recognition that gambling harms are socially and geographically uneven in its occurrence and impacts, there is limited empirical knowledge about the factors underlying the disparities. Here, w e quantit...
Article
Full-text available
This paper argues that frequently updated data on the nature of residential moves and the circumstances of mov-ers in the United Kingdom are insufficient for many research purposes. Accordingly, we develop previous research reported in this Journal to re-purpose consumer and administrative data in order to develop annual estimates of residential mo...
Article
Full-text available
Cities have specialised in particular urban functions throughout history, with consequential implications for urban and regional patterns of economic and social change. This specialisation takes place within overall national city size distributions and is manifest in different but often similarly variegated residential structures. Here we develop a...
Chapter
In the absence of frequently updated data on the nature of residential moves and the circumstances of movers, this book chapter uses a unique digital corpus of linked individual and household level consumer registers compiled by the UK Consumer Data Research Centre. These so-called Linked Consumer Registers (LCRs) have been used to model residentia...
Conference Paper
Full-text available
This paper describes the steps involved in the creation of a UK-wide population register, covering the adult population from the start of 1997 to the end of 2020. We argue how this set of ‘Linked Consumer Registers’ will be the nucleus of a data infrastructure for bespoke demographic analysis that we are currently developing. We further appraise th...
Conference Paper
Full-text available
With sufficient preparation for purpose, consumer datasets may be used alongside conventional statistical sources to provide more granular and frequently updated estimates of housing market conditions than are otherwise available. Here we describe linkage of Zoopla rental market listings and Linked Consumer Register data to establish the pattern of...
Conference Paper
Full-text available
This paper develops an empirical framework to better understand social and residential mobility in terms of outcomes as revealed using Linked Consumer Registers that detail individual level origins and destinations throughout the nations of the UK. We describe work to analyse these data at a range of geographic scales and to link them to further da...
Article
Full-text available
Big data analytics and artificial intelligence, paired with blockchain technology, the Internet of Things, and other emerging technologies, are poised to revolutionise urban management. With massive amounts of data collected from citizens, devices, and traditional sources such as routine and well-established censuses, urban areas across the world h...
Article
Full-text available
We introduce a method to calculate and store approximately 1.2 million surname distributions calculated for surnames found in Great Britain for six years of historic population data and 20 years of contemporary population registers compiled from various consumer sources. We subsequently show how this database can be incorporated into an interactive...
Conference Paper
Full-text available
We introduce platial geo-temporal demographics as a novel way to describe places using family names as markers of migration and change at sub-national scales. By identifying the likely origins of 59,218 surnames in Great Britain, we create platial profiles of surname mixes in terms of the distance their forbears have likely migrated between 1881 an...
Conference Paper
Full-text available
This paper describes efforts to geo-reference addresses from the 1901 Census of Population of England and Wales by linking them to the contemporary OS AddressBase. The results indicate that it is feasible to standardise and geocode a large share of unique addresses from the historic database. Roughly 38% of addresses from 1901 could be linked to co...
Conference Paper
Full-text available
This paper describes the steps involved to prepare the largest ever quantitative analysis of the distribution of surnames in Great Britain. We describe the method to estimate approximately 1.2 million surname distributions using Kernel Density Estimates (KDEs) for seven years of historic census data and twenty years of contemporary Consumer Registe...
Article
Where GPS technology can precisely register the spatiotemporal elements of activity-travel behaviour, travel characteristics need to be imputed from the data. As such, throughout the last decade, a plethora of methods has been developed to identify trips and activities from raw GPS trajectories. However, rule-based methods that use dwell time for t...
Article
An activity space is a spatial expression of individual spatial behavior that can play a role in visualizing and analyzing travel behavior. In this article, we use the data of a two-day tracking experiment to explore whether accessibility to opportunities as represented through activity spaces associate with different travel characteristics, includ...
Article
The exact distance and routes travelled on an individual level are essential variables in determin- ing the effectiveness of ‘soft’ transport demand management strategies. The ability to track individuals in great spatial detail by means of Location Aware Technologies such as GPS has opened avenues for gathering these data with great precision. Rou...
Conference Paper
The ubiquity of ‘human sensors’ such as the mobile phone offers novel and innovative ways of collecting geospatial data on individual spatiotemporal behaviour. Cell Detail Records (CDR) and GPS technology embedded in smartphones, for instance, provide opportunities to passively collect high-resolution data that is otherwise difficult to acquire; ev...
Article
South Africa is still confronted with widespread poverty, unemployment and high levels of income inequality along racial lines. To counteract these issues, South Africa implemented an extensive social welfare system. However, both academics and policymakers have voiced concerns that the social grants may give perverse incentives. This article contr...
Article
Full-text available
The present study sets out to provide an ex ante insight into the equity effects of a toll charge on the traffic diversions and geographical accessibility of work locations in the Cape Town metropolitan region, South Africa. Based on a static traffic assignment model and aggregate accessibility measures, computed in a GIS environment, the effects o...
Conference Paper
Full-text available
Policies aimed at Traffic Demand Management (TDM) rely heavily on the gathering of accurate individual level activity and travel data to understand and unpack the demand for transport. Moreover, self-report based data collection methods face problems such as a high-respondent burden and inaccuracies in the number and duration of the reported trips....

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