Commentary: a road map for future data-driven urban planning and environmental health research

Georgia M.C. Dyer; Sasha Khomenko; Deepti Adlakha; Susan Anenberg; Julianna Angelova; Martin Behnisch; Geoff Boeing; Xuan Chen; Marta Cirach; Kees de Hoogh; Ana V. Diez Roux; Manuel Esperon-Rodriguez; Benjamin Flueckiger; Antonio Gasparrini; Tamara Iungman; Haneen Khreis; Michelle C. Kondo; Pierre Masselot; Robert I. McDonald; Federica Montana; Rich Mitchell; Natalie Mueller; M. Omar Nawaz; Evelise Pereira; Enrico Pisoni; Rafael Prieto-Curiel; Nazanin Rezaei; Diego Rybski; José J. Ramasco; Rossano Schifanella; Saif Shabou; Lambed Tatah; Hannes Taubenböck; Cathryn Tonne; Daniel Velázquez-Cortés; James Woodcock; Qin Zhang; Mark Nieuwenhuijsen

doi:10.1016/j.cities.2024.105340

Commentary: a road map for future data-driven urban planning and environmental health research

Georgia M.C. Dyer
, Sasha Khomenko
, Deepti Adlakha
, Susan Anenberg
, Julianna Angelova
, Martin Behnisch
, Geoff Boeing
, Xuan Chen
, Marta Cirach
, Kees de Hoogh
, Ana V. Diez Roux
, Manuel Esperon-Rodriguez
, Benjamin Flueckiger
, Antonio Gasparrini
, Tamara Iungman
, Haneen Khreis
, Michelle C. Kondo
, Pierre Masselot
, Robert I. McDonald
, Federica Montana

Rich Mitchell, Natalie Mueller, M. Omar Nawaz, Evelise Pereira, Enrico Pisoni, Rafael Prieto-Curiel, Nazanin Rezaei, Diego Rybski, José J. Ramasco, Rossano Schifanella, Saif Shabou, Lambed Tatah, Hannes Taubenböck, Cathryn Tonne, Daniel Velázquez-Cortés, James Woodcock, Qin Zhang, Mark Nieuwenhuijsen

Hawkesbury Institute for the Environment

Barcelona Institute for Global Health (ISGlobal)
Pompeu Fabra University
CIBER Epidemiología y Salud Pública (CIBERESP)
Delft University of Technology
George Washington University
Florida Gulf Coast University
Leibniz Institute of Ecological Urban and Regional Development
University of Southern California
Utrecht University
Swiss Tropical and Public Health Institute
Drexel University
London School of Hygiene and Tropical Medicine
MRC Epidemiology Unit
United States Department of Agriculture
The Nature Conservancy
University of Glasgow
European Commission Joint Research Centre
Complexity Science Hub Vienna
University of California at Santa Cruz
Potsdam Institute for Climate Impact Research
Instituto de Fisica Interdisciplinar and Sistemas Complejos IFISC (CSIC-UIB)
University of Turin
World Resources Institute
German Aerospace Center
Technical University of Munich

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

21 Downloads (Pure)

Abstract

Recent advances in data science and urban environmental health research utilise large-scale databases (100s-1000s of cities) to explore the complex interplay of urban characteristics such as city form and size, climate, mobility, exposure, and environmental health impacts. Cities are still hotspots of air pollution and noise, suffer urban heat island effects and lack of green space, which leads to disease and mortality burdens preventable with better knowledge. Better understanding through harmonising and analysing data in large numbers of cities is essential to identifying the most effective means of disease prevention and understanding context dependencies important for policy.

Original language	English
Article number	105340
Number of pages	7
Journal	Cities
Volume	155
DOIs	https://doi.org/10.1016/j.cities.2024.105340
Publication status	Published - Dec 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Keywords

GeoAI
Urban and transport planning
Urban data inventory
Urban environmental health research
Urban indicators
Urban policy

Access to Document

10.1016/j.cities.2024.105340Licence: CC BY-NC-ND

Full textFinal published version, 847 KBLicence: CC BY-NC-ND

Cite this

Dyer, G. M. C., Khomenko, S., Adlakha, D., Anenberg, S., Angelova, J., Behnisch, M., Boeing, G., Chen, X., Cirach, M., de Hoogh, K., Diez Roux, A. V., Esperon-Rodriguez, M., Flueckiger, B., Gasparrini, A., Iungman, T., Khreis, H., Kondo, M. C., Masselot, P., McDonald, R. I., ... Nieuwenhuijsen, M. (2024). Commentary: a road map for future data-driven urban planning and environmental health research. Cities, 155, Article 105340. https://doi.org/10.1016/j.cities.2024.105340

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title = "Commentary: a road map for future data-driven urban planning and environmental health research",

abstract = "Recent advances in data science and urban environmental health research utilise large-scale databases (100s-1000s of cities) to explore the complex interplay of urban characteristics such as city form and size, climate, mobility, exposure, and environmental health impacts. Cities are still hotspots of air pollution and noise, suffer urban heat island effects and lack of green space, which leads to disease and mortality burdens preventable with better knowledge. Better understanding through harmonising and analysing data in large numbers of cities is essential to identifying the most effective means of disease prevention and understanding context dependencies important for policy.",

keywords = "GeoAI, Urban and transport planning, Urban data inventory, Urban environmental health research, Urban indicators, Urban policy",

author = "Dyer, \{Georgia M.C.\} and Sasha Khomenko and Deepti Adlakha and Susan Anenberg and Julianna Angelova and Martin Behnisch and Geoff Boeing and Xuan Chen and Marta Cirach and \{de Hoogh\}, Kees and \{Diez Roux\}, \{Ana V.\} and Manuel Esperon-Rodriguez and Benjamin Flueckiger and Antonio Gasparrini and Tamara Iungman and Haneen Khreis and Kondo, \{Michelle C.\} and Pierre Masselot and McDonald, \{Robert I.\} and Federica Montana and Rich Mitchell and Natalie Mueller and Nawaz, \{M. Omar\} and Evelise Pereira and Enrico Pisoni and Rafael Prieto-Curiel and Nazanin Rezaei and Diego Rybski and Ramasco, \{Jos{\'e} J.\} and Rossano Schifanella and Saif Shabou and Lambed Tatah and Hannes Taubenb{\"o}ck and Cathryn Tonne and Daniel Vel{\'a}zquez-Cort{\'e}s and James Woodcock and Qin Zhang and Mark Nieuwenhuijsen",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors",

year = "2024",

month = dec,

doi = "10.1016/j.cities.2024.105340",

language = "English",

volume = "155",

journal = "Cities",

issn = "0264-2751",

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Dyer, GMC, Khomenko, S, Adlakha, D, Anenberg, S, Angelova, J, Behnisch, M, Boeing, G, Chen, X, Cirach, M, de Hoogh, K, Diez Roux, AV, Esperon-Rodriguez, M, Flueckiger, B, Gasparrini, A, Iungman, T, Khreis, H, Kondo, MC, Masselot, P, McDonald, RI, Montana, F, Mitchell, R, Mueller, N, Nawaz, MO, Pereira, E, Pisoni, E, Prieto-Curiel, R, Rezaei, N, Rybski, D, Ramasco, JJ, Schifanella, R, Shabou, S, Tatah, L, Taubenböck, H, Tonne, C, Velázquez-Cortés, D, Woodcock, J, Zhang, Q & Nieuwenhuijsen, M 2024, 'Commentary: a road map for future data-driven urban planning and environmental health research', Cities, vol. 155, 105340. https://doi.org/10.1016/j.cities.2024.105340

TY - JOUR

T1 - Commentary

T2 - a road map for future data-driven urban planning and environmental health research

AU - Dyer, Georgia M.C.

AU - Khomenko, Sasha

AU - Adlakha, Deepti

AU - Anenberg, Susan

AU - Angelova, Julianna

AU - Behnisch, Martin

AU - Boeing, Geoff

AU - Chen, Xuan

AU - Cirach, Marta

AU - de Hoogh, Kees

AU - Diez Roux, Ana V.

AU - Esperon-Rodriguez, Manuel

AU - Flueckiger, Benjamin

AU - Gasparrini, Antonio

AU - Iungman, Tamara

AU - Khreis, Haneen

AU - Kondo, Michelle C.

AU - Masselot, Pierre

AU - McDonald, Robert I.

AU - Montana, Federica

AU - Mitchell, Rich

AU - Mueller, Natalie

AU - Nawaz, M. Omar

AU - Pereira, Evelise

AU - Pisoni, Enrico

AU - Prieto-Curiel, Rafael

AU - Rezaei, Nazanin

AU - Rybski, Diego

AU - Ramasco, José J.

AU - Schifanella, Rossano

AU - Shabou, Saif

AU - Tatah, Lambed

AU - Taubenböck, Hannes

AU - Tonne, Cathryn

AU - Velázquez-Cortés, Daniel

AU - Woodcock, James

AU - Zhang, Qin

AU - Nieuwenhuijsen, Mark

PY - 2024/12

Y1 - 2024/12

N2 - Recent advances in data science and urban environmental health research utilise large-scale databases (100s-1000s of cities) to explore the complex interplay of urban characteristics such as city form and size, climate, mobility, exposure, and environmental health impacts. Cities are still hotspots of air pollution and noise, suffer urban heat island effects and lack of green space, which leads to disease and mortality burdens preventable with better knowledge. Better understanding through harmonising and analysing data in large numbers of cities is essential to identifying the most effective means of disease prevention and understanding context dependencies important for policy.

AB - Recent advances in data science and urban environmental health research utilise large-scale databases (100s-1000s of cities) to explore the complex interplay of urban characteristics such as city form and size, climate, mobility, exposure, and environmental health impacts. Cities are still hotspots of air pollution and noise, suffer urban heat island effects and lack of green space, which leads to disease and mortality burdens preventable with better knowledge. Better understanding through harmonising and analysing data in large numbers of cities is essential to identifying the most effective means of disease prevention and understanding context dependencies important for policy.

KW - GeoAI

KW - Urban and transport planning

KW - Urban data inventory

KW - Urban environmental health research

KW - Urban indicators

KW - Urban policy

UR - https://www.scopus.com/pages/publications/85203424868

U2 - 10.1016/j.cities.2024.105340

DO - 10.1016/j.cities.2024.105340

M3 - Article

AN - SCOPUS:85203424868

SN - 0264-2751

VL - 155

JO - Cities

JF - Cities

M1 - 105340

ER -

Commentary: a road map for future data-driven urban planning and environmental health research

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

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