TIGTHAT: Towards an integrated global transport and health assessment tool

The use of transportation is one of the major determinants of health that exists as it affects physical activity, contributes to environmental pollution and generates traffic accidents. However, most information on the impact of transport on health comes from developed countries. The availability of quality information is necessary to estimate and compare the benefits of active transport policies.

Objective

TIGHTHAT has several objectives: 1) identify, evaluate, and compare personal travel survey data and patterns for multiple settings, 2) test Google Street View to estimate traffic mode share and see if it can help predict population distributions of travel time mode share, 3) appraise urban traffic injury data in a range of settings globally, identify patterns, develop generalizable rules for combining data, and validate by testing them in case cities, 4) develop and test a generalisable approach to health impact assessment (HIA) modelling of PM2.5 from transport, and 5) Integrated HIA modelling for 4 cities in India and Brazil to test the impact of uncertainty in and choice of input data.

Design:

To assess the impact of transport policies on health, secondary data from transport surveys, surveys of pedestrians or cyclists, records of greenhouse gas emissions, and Google Street View information will be used.

First, we will compare travel surveys and travel patterns for the settings for which we have individual information. Then we will assess the existence and availability of travel survey data and appraise their quality. In order to estimate how people travel, we will use Google Street View (GSV) and extract pictures along given routes. Regarding physical activity prevalence, we will build and ecological model to predict the self-report physical activity from GSV data. We will also build a model assess changes in injuries associated with mode of travel. To estimate exposure to local transport related air pollution, we will use information of fine particulate matter from the World Health Organization (WHO) and Emissions Database for Global Atmospheric Research (EDGAR), and we will calculate the contribution to air pollution of transport.

Results

This project started in August 2017

Contact

J. Jaime Miranda
jaime.miranda@upch.pe

Location

Perú

Funding

Medical Research Council (MRC).

Duration

2017 – 2019

Research team

J. Jaime Miranda, MD, MsC, PhD, Universidad Peruana Cayetano Heredia, CRONICAS Centro de Excelencia en Enfermedades Crónicas.
Francisco Diez Canseco, BA, MPH, Universidad Peruana Cayetano Heredia, CRONICAS Centro de Excelencia en Enfermedades Crónicas.
Akram Hernández, MSc, Universidad Peruana Cayetano Heredia, CRONICAS Centro de Excelencia en Enfermedades Crónicas .
Jessica Zafra Tanaka, MD, Universidad Peruana Cayetano Heredia, CRONICAS Centro de Excelencia en Enfermedades Crónicas .

Contributors: James Woodcock (PI). Marko Tainio. Rahul Goel. Leandro Garcia. Ali Abbas. Rob Johnson. Soren Brage (Center for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge).
Audrey de Nazelle (Imperial College London).
Nelson Gouveia (Universidade de Sao Paulo).
Kavi Bhalla (University of Chicago).
Ashish Verma (Indian Institute of Science).
Geetam Tiwari (Indian Institute of Technology).

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