Using Mobility Data in Urban Science Workshop - Full Programme

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We are pleased to anounce the full programme for the Using Mobility Data in Urban Science Workshop!

Registration available HERE

Updates on the programme will be published HERE

14:00 – 14:10 Introduction

14:10 – 15:40 Session 1

Charisma Choudhury (Institute for Transport Studies, University of Leeds)


Laetitia Gauvin (ISI Foundation)

Inequalities in human mobility

Human mobility patterns in daily life and during crises reflect diverse socio-demographic factors. Mobile phone data analysis turns out to be a precious way to explore the multitude of such mobility patterns. We present two studies looking at inequalities in human mobility using mobile phone data: 1) how mobility is gendered in everyday lives 2) what have been the socioeconomic drivers of mobility during the first wave of the COVID-19 pandemic.

Our first work uncovers a complex interplay between gendered mobility patterns and socio-economic factors. In the second work we explored the relationship between the behavioural responses to mobility restrictions and economic factors such as local structure of the labour force, or employment rate.

Esteban Moro (MIT-MediaLab/Universidad Carlos III de Madrid)

Understanding urban resilience through behavioral mobility data

Two thirds of the world's population will live in cities by 2050. The economic and social progress of our urban areas, our institutions and our work depends on the diversity and resilience of the social fabric in cities. Despite their importance, several major forces erode the diversity and strength of those social connections: from income or racial segregation to differences in education and work access. In this talk I will present our recent work to understand the fragility of the network of social connections in cities through the analysis of behavioral mobility data and its impact in experienced segregation.

15:40 – 15:50 Break

15:50 – 17:20 Session 2

Alessia Calafiore & Francisco Rowe (Geographic Data Science Lab, University of Liverpool)

ITINERANT - InequaliTies IN Experiencing uRbAn fuNcTion

ITINERANT is an ongoing project funded by the Alan Turing Institute that will develop methods, open data products, and policy-relevant insights on how differently population groups benefit from urban functions. Such understanding is key to develop policies that ensure these benefits are fairly shared across society. We will give an overview of the project aims and the methods we are planning to implement as well as some preliminary results.

Yanan Xin (Mobility Information Engineering lab, ETH Zurich)

Computational Movement Analysis for Sustainable Mobility

The increasing CO2 emissions in the transport sector and rapid expansion of road networks pose pressing issues to the sustainability of our society. A key to transit into sustainable mobility involves a deep understanding of human mobility patterns and the development of novel methods to analyze, predict, and visualize human mobility. This presentation will demonstrate the use of computational movement analysis to promote sustainable mobility through our studies conducted at the Mobility Information Engineering Lab at ETH Zurich. The primary focus is to share insights on the impact of new mobility concepts (e.g., Mobility as a Service), user mobility behavior changes towards sustainable travel, and the potential benefits of applying mobility-aware smart charging for electric vehicles. The talk will also highlight the computational methods and the open-source package developed for conducting the spatiotemporal analysis of mobility data.

Maurizio Gibin (CDRC/UCL) & Jacob MacDonald (CDRC/GDSL-University of Liverpool)

Footfall and In-app mobile phone data research at CDRC

We will present the main sources data for human mobility available at the Consumer Research Data Centre. The presentation will introduce the datasets already available on together with the published and current research underlying the development of reliable human mobility measures using in-app mobile phone data.

17:20 – 17:30 Closing Remarks