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DYNURBAN SIGNED

Urban dynamics: learning from integrated models and big data

Total Cost €

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EC-Contrib. €

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Partnership

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 DYNURBAN project word cloud

Explore the words cloud of the DYNURBAN project. It provides you a very rough idea of what is the project "DYNURBAN" about.

poorly    records    businesses    slash    away    data    opening    social    roads    productivity    realistic    possibility    city    meeting    personal    mismatch    gridded    evolution    individual    phone    model    stops    space    generates    human    combination    previously    random    shocks    models    uk    paths    instances    rest    transit    substantially    urban    efficiency    spatial    people    workers    land    job    magnitude    cross    redeveloped    link    pay    vacancies    abandoned    periods    area    economies    aggregating    combines    contribution    commuting    agglomeration    burn    interactions    ignore    share    instead    unemployed    misallocation    iteratively    distributions    crisis    municipalities    security    predict    small    flows    empirical    decennial    anonymized    cell    quantify    capital    population    cities    combining    size    shy    moving    spain    generating    calibrate    aggregate    unprecedented    plummeted    instance    systematic    association    causes    location    track    intensity    entrepreneurship    degenerate    determinants   

Project "DYNURBAN" data sheet

The following table provides information about the project.

Coordinator
FUNDACION CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS 

Organization address
address: CASADO DEL ALISAL 5
city: MADRID
postcode: 28014
website: www.cemfi.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website https://diegopuga.org
 Total cost 1˙292˙586 €
 EC max contribution 1˙292˙586 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-AdG
 Funding Scheme ERC-ADG
 Starting year 2016
 Duration (year-month-day) from 2016-08-01   to  2021-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACION CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS ES (MADRID) coordinator 1˙292˙586.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

City growth is driven by a combination of systematic determinants and shocks. Random growth models predict realistic city size distributions but ignore, for instance, the strong empirical association between human capital and city growth. Models with systematic determinants predict degenerate size distributions. We will develop an integrated model that combines systematic and random determinants to explain the link between human capital, entrepreneurship and growth, while generating relevant city size distributions. We will calibrate the model to quantify the contribution of cities to aggregate growth. Urban growth also has a poorly understood spatial component. Combining gridded data of land use, population, businesses and roads for 3 decennial periods we will track the evolution of land use in the US with an unprecedented level of spatial detail. We will pay particular attention to the magnitude and causes of “slash-and-burn” development: instances when built-up land stops meeting needs in terms of use and intensity and, instead of being redeveloped, it is abandoned while previously open space is built up. Job-to-job flows across cities matter for efficiency and during the recent crisis they have plummeted. We will study them with individual social security data. Even if there have only been small changes in mismatch between unemployed workers and vacancies during the crisis, if workers shy away from moving to take a job in another city, misallocation can increase substantially. We will also study commuting flows for Spain and the UK based on anonymized cell phone location records. We will identify urban areas by iteratively aggregating municipalities if more than a given share of transit flows end in the rest of the urban area. We will also measure the extent to which people cross paths with others opening the possibility of personal interactions, and assess the extent to which this generates productivity-enhancing agglomeration economies.

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The information about "DYNURBAN" are provided by the European Opendata Portal: CORDIS opendata.

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