HABITS: Improved policy to mitigate pollutant and inactivity related health burdens through new big data
Lead Research Organisation:
University of Leeds
Department Name: Institute for Transport Studies
Abstract
The project will consider implications of 'track and trace' data generated from mobile phones in relation to health impacts. Two areas of impacts will be considered: individual-level health burdens of air pollution through exposure, and health related to levels of travel activity. Track and trace data (T&T, the trace of individual's movements through the city) will be generated as a result of introducing a new travel application in Newcastle, SMART. SMART has mature tracking algorithms that have been tested for over 5 years in Europe. The app is being tailored to Newcastle and implemented on a large scale as part of the H2020 EMPOWER project. The emphasis for this project will be to take T&T data collected in a transport policy context and explore the challenges, methodologies and policy implications related to use in reducing individual health burdens. The project will research new methods and tools to investigate the cross-referencing and integration of real-time T&T data with existing and emerging databases such as pollution data; and new approaches to modelling health impacts arising from exposure and the individual patterns of travel activity.
The project will build on an existing collaboration between Mr Rob Snowball at Newcastle City Council (NCC) in the H2020 EMPOWER project. NCC has recently established a 'Healthy Streets Board' to provide governance to joint projects on air quality and healthy, liveable cities such as the Cycle City Ambition Programme, the Streets for People project. The Board comprises Cabinet Members for Transport and Health, including the Director of Public Health (NCC) who will contribute assistance to the project in the area of health impacts. Mr Robert Snowball and the Board will provide active input to the direction of the project and policy insights on the issues arise from scaling up the approach through infrastructure investment.
The project will be led by Professor Susan Grant-Muller of the Institute for Transport Studies, University of Leeds, together with non-academic Co-I, Mr Robert Snowball and academic CO-I's Ms Frances Hodgson and Dr Nick Malleson. The PI and Co-I's all have extensive experience of research with T&T data, and also social media textual data, Bluetooth, GPS data and other user-generated content. Grant-Muller and Hodgson are the PI and Co-I for the E5m H2020 EMPOWER project concerned with the use of ICT enabled incentives to influence travel choices. They bring a substantial knowledge base on the broader policy and contextual issues in large scale implementation and policy uptake of influencing technology and active travel. Prof. Eugene Milne is the Director of Public Health for Newcastle and will provide expertise on inactivity and public health. Dr Malleson is currently working with large scale analytics of T&T data from Boston, USA, is a member of the Obesity Network and has expertise in modelling methodologies including agent based modelling and spatial analytics. The project will be based in the ESRC funded Consumer Data Analytics Centre (CDRC), which has critical mass of expertise including large scale data analytics for health, an obesity network, and a mobility research theme.
The project will build on an existing collaboration between Mr Rob Snowball at Newcastle City Council (NCC) in the H2020 EMPOWER project. NCC has recently established a 'Healthy Streets Board' to provide governance to joint projects on air quality and healthy, liveable cities such as the Cycle City Ambition Programme, the Streets for People project. The Board comprises Cabinet Members for Transport and Health, including the Director of Public Health (NCC) who will contribute assistance to the project in the area of health impacts. Mr Robert Snowball and the Board will provide active input to the direction of the project and policy insights on the issues arise from scaling up the approach through infrastructure investment.
The project will be led by Professor Susan Grant-Muller of the Institute for Transport Studies, University of Leeds, together with non-academic Co-I, Mr Robert Snowball and academic CO-I's Ms Frances Hodgson and Dr Nick Malleson. The PI and Co-I's all have extensive experience of research with T&T data, and also social media textual data, Bluetooth, GPS data and other user-generated content. Grant-Muller and Hodgson are the PI and Co-I for the E5m H2020 EMPOWER project concerned with the use of ICT enabled incentives to influence travel choices. They bring a substantial knowledge base on the broader policy and contextual issues in large scale implementation and policy uptake of influencing technology and active travel. Prof. Eugene Milne is the Director of Public Health for Newcastle and will provide expertise on inactivity and public health. Dr Malleson is currently working with large scale analytics of T&T data from Boston, USA, is a member of the Obesity Network and has expertise in modelling methodologies including agent based modelling and spatial analytics. The project will be based in the ESRC funded Consumer Data Analytics Centre (CDRC), which has critical mass of expertise including large scale data analytics for health, an obesity network, and a mobility research theme.
Planned Impact
As the central research questions posed by HABITS will be answered through the development of policy demonstrators, impact through new policy is a foundation that underpins all of the overall research goals. The specific beneficiaries of the project and the ways in which they will benefit from the project are summarised as follows:
1) City stakeholders such as City Councils, regional authorities and municipalities (primarily in the UK but also internationally) - who will benefit from the demonstrated potential and benefits of Track and Trace data in supporting both Transport and Health policy making through a stronger and expanded evidence base
2) Newcastle CC and the greater Newcastle City region - who will benefit from the use of policy demonstrators specifically for the Newcastle area, involving schemes and scenarios with relevance to the region.
3) Members of the travelling public across the UK and internationally - who will benefit from improved short, medium and long term policies related to transport provision and healthy lifestyles
4) Academic Communities (in particular those involved in Evaluation methodology, Big Data analytics, Transport and Health modelling, and Behavioural studies) - who will benefit from new knowledge generated on the potential and opportunity presented by Track and Trace data, together with the identification of further novel research areas
5) Two early career researchers - who will benefit from opportunities to apply and further develop their skills in modelling, transport pollution and the transport-health impacts. Due to the strong links with stakeholders in the project, the researchers will also benefit from the development of industry contacts. As the project has close synergies with an EU funded project 'EMPOWER', the researchers may also benefit from new networking opportunities with European and international researchers.
1) City stakeholders such as City Councils, regional authorities and municipalities (primarily in the UK but also internationally) - who will benefit from the demonstrated potential and benefits of Track and Trace data in supporting both Transport and Health policy making through a stronger and expanded evidence base
2) Newcastle CC and the greater Newcastle City region - who will benefit from the use of policy demonstrators specifically for the Newcastle area, involving schemes and scenarios with relevance to the region.
3) Members of the travelling public across the UK and internationally - who will benefit from improved short, medium and long term policies related to transport provision and healthy lifestyles
4) Academic Communities (in particular those involved in Evaluation methodology, Big Data analytics, Transport and Health modelling, and Behavioural studies) - who will benefit from new knowledge generated on the potential and opportunity presented by Track and Trace data, together with the identification of further novel research areas
5) Two early career researchers - who will benefit from opportunities to apply and further develop their skills in modelling, transport pollution and the transport-health impacts. Due to the strong links with stakeholders in the project, the researchers will also benefit from the development of industry contacts. As the project has close synergies with an EU funded project 'EMPOWER', the researchers may also benefit from new networking opportunities with European and international researchers.
Organisations
- University of Leeds (Lead Research Organisation)
- Voi Technology (Collaboration)
- Technion - Israel Institute of Technology (Collaboration)
- University of Haifa (Collaboration)
- EMPOWER project (Collaboration)
- NEWCASTLE CITY COUNCIL (Collaboration)
- Shanghai Jiao Tong University (Collaboration)
- Newcastle University (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- Federal Technological University of Paraná (Collaboration)
- University of California, Davis (Collaboration)
- Iuav University of Venice (Collaboration)
- Chinese University of Hong Kong (Collaboration)
Publications
Wu S
(2022)
Modelling the Mobility Changes Caused by Perceived Risk and Policy Efficiency
in ISPRS International Journal of Geo-Information
Wallace R
(2022)
Estimating the social and spatial impacts of Covid mitigation strategies in United Kingdom regions: synthetic data and dashboards
in Cambridge Journal of Regions, Economy and Society
Kuflik T
(2017)
Automating a framework to extract and analyse transport related social media content: The potential and the challenges
in Transportation Research Part C: Emerging Technologies
Harrison G
(2020)
New and emerging data forms in transportation planning and policy: Opportunities and challenges for "Track and Trace" data
in Transportation Research Part C: Emerging Technologies
Harrison G
(2022)
Understanding the influence of new and emerging data forms on mobility behaviours and related health outcomes
in Journal of Transport & Health
Harrison G
(2021)
A review of transport-health system dynamics models
in Journal of Transport & Health
Grant-Muller S
(2018)
Transport-Health Equity Outcomes from mobile phone location data - a case study
| Description | • Micro-level mobility data (a new and emerging data form, NEDF) has been successfully interfaced for the first time with a model of transport - energy- health impacts. This allows investigation of health outcomes from individuals travel choices (or from policy changes), together with outcomes related to other societal burdens. • An indicator for equity in the distribution of impacts (health, energy) arising from the introduction of software app based behavioural (incentives) schemes to encourage modal shift has been developed and demonstrated for the Newcastle city region case. The indicator is derived from use of new micro location data together with small-area Index of Multiple Deprivation data. • We have combined 'big data' arising from 1) the road network and 2) data from a No2 monitoring sensor network (Newcastle Urban Observatory) into a newly developed method for estimating the spatio-temporal patterns of No2 concentrations. This has been validated against the Official DEFRA roadside model. Our model shows a good correspondence with the DEFRA model but has advantages: for example, No2 estimates aren't restricted to main roads and the model provides an estimate of the diurnal variations of No2. • A new prototype interactive software tool (the 'HABITS tool') has been developed to allow policy makers to explore micro-level mobility pattern data alongside patterns of No2 for the Newcastle region. The tool also produces summary indices, including equity and health outcomes. |
| Exploitation Route | The findings are being taken forward in a newly awarded project KARMA (sponsored by the Alan Turing Institute). The new method for estimating the spatio-temporal patterns of No2 concentrations is suitable for uptake by local/regional authorities to understand pollutant patterns and target resources appropriately. The HABITS tool is in prototype form but can be adapted to other forms of app derived micro location data. |
| Sectors | Digital/Communication/Information Technologies (including Software),Energy,Healthcare,Transport |
| Description | The work nucleated and showcased a new research area around the use of pervasive sensor data as part of understanding travel and activity within individuals lifestyles, with the possibility to capture marginal impacts in other sectors. |
| First Year Of Impact | 2020 |
| Sector | Digital/Communication/Information Technologies (including Software),Transport |
| Impact Types | Policy & public services |
| Description | Department for Transport Scientific Advisory Council |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Joint UITP/EU committee of the regions |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Oral evidence to the House of Lords select committee |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| URL | https://parliamentlive.tv/event/index/35f3460a-e69e-4ce0-ad71-88de21409b9a#player-tabs |
| Description | UnHabitat inaugural assembly |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| Description | VOI advisory board |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Description | Alan Turing Institute fellowship |
| Amount | £105,000 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 10/2018 |
| End | 09/2020 |
| Description | Alan Turing Project |
| Amount | £357,700 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 10/2018 |
| End | 05/2022 |
| Description | Micromobility behaviour |
| Amount | £104,000 (GBP) |
| Organisation | World Resources Institute |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 10/2019 |
| End | 12/2020 |
| Description | New and Emerging Data Forms |
| Amount | £250,000 (GBP) |
| Funding ID | ES/P01139X/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2017 |
| End | 02/2018 |
| Description | RAIM |
| Amount | £622,000 (GBP) |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2020 |
| End | 01/2023 |
| Description | Raphtory: a practical system for the analysis of dynamic graphs |
| Amount | £193,000 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 12/2019 |
| End | 11/2020 |
| Description | TRACK: Transport Risk Assessment for COVID Knowledge |
| Amount | £1,374,632 (GBP) |
| Funding ID | EP/V032658/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2020 |
| End | 03/2022 |
| Title | Ethical guidance on new and emerging data forms |
| Description | Guidelines for a range of stakeholders on the ethics of handling new and emerging data forms in transport. The guidelines were developed jointly with the EMPOWER project and form the basis for a joint workshop with the cabinet office. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | The guidelines formed a basis for a training workshop with a range of city stakeholders from the UK and Europe. The participating stakeholders reported that they had adjusted their written policies and consent forms and also amended their internal data handling procedures. |
| URL | https://empowertoolkit.eu/ethics/ |
| Title | Air Pollution Potential (APP) Model |
| Description | The APP model estimates the spatial variation of air pollution within a city, based on the proximity of a point to the road network, road junctions and estimates of road traffic intensity (based on a proxy measure of road segment network centrality). This has been developed using open source software (R) and open source data (the Ordnance Survey's Open Road Network), meaning the method could be applied within any city of the UK. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2017 |
| Provided To Others? | No |
| Impact | The model will be written into a paper and presented at the AAG meeting in April 2018. |
| Title | Leeds City Council Footfall Camera Aggregated Data |
| Description | The dataset contains footfall counts in Leeds City Centre supplied by Leeds City Council. There are 10 cameras around the city that monitor numbers of people walking past. These cameras calculate numbers on an hourly basis. The raw data is freely available on Data Mill North; however a cleaned and aggregated dataset has been produced for the purposes of analysis by Leeds Institute for Data Analytics in collaboration with the Consumer Data Research Centre. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | n/a |
| URL | https://data.cdrc.ac.uk/dataset/leeds-city-council-footfall-camera-aggregated-data |
| Title | Manually Collected Footfall Counts in Leeds |
| Description | Manual footfall counts (counts of people who walk past a particular point) were collected at ten sites between the 5th to the 9th of July 2021 between 10:00 and 16:00 each day. At the time of data collection, footfall cameras were installed at three of the ten sites: Briggate, Headrow and Commercial Street. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | n/a |
| URL | https://data.cdrc.ac.uk/dataset/manually-collected-footfall-counts-leeds |
| Title | Micro-level transport-health interactions model |
| Description | The model takes new mobile phone location data (Track and Trace data) to calculate individual exposure to activity and pollutant related health burdens arising from travel choices. The model is also able to calculate an equity outcome for the resultant health burdens. The model has significantly adapted an existing macro level model of transport-health (ITHIM). |
| Type Of Material | Data analysis technique |
| Year Produced | 2017 |
| Provided To Others? | No |
| Impact | The model is still under further development and hasn't yet been made available to others. The background input data is not publicly available. |
| Title | system dynamics model for the contribution of new micro level data in capturing transport related health outcomes |
| Description | A new system dynamics model of transport-health interactions that specifically includes the contribution and influence of new data forms. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2021 |
| Provided To Others? | No |
| Impact | Too early to say |
| Description | Collaboration with Newcastle City Council |
| Organisation | Newcastle City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Members of the research team have worked with Newcastle City Council to identify current data sources and models, identify candidate policies related to the HABITS agenda and have contributed to the policy agenda through the Healthy Streets Board. The team have discussed priority features for a decision support tool with key members of NCC to ensure it has relevance to their needs local context. |
| Collaborator Contribution | NCC team members have participated in regular (fortnightly) meetings to discuss the research and contribute to the forward direction. They have provided access to relevant data, models and key personnel to support the research. NCC have facilitated a joint workshop based around the HABITS project. |
| Impact | Two joint workshops held in Newcastle, attended by regional policy stakeholders, academics, researchers and others. |
| Start Year | 2016 |
| Description | Collaboration with Newcastle City Council |
| Organisation | Newcastle University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Members of the research team have worked with Newcastle City Council to identify current data sources and models, identify candidate policies related to the HABITS agenda and have contributed to the policy agenda through the Healthy Streets Board. The team have discussed priority features for a decision support tool with key members of NCC to ensure it has relevance to their needs local context. |
| Collaborator Contribution | NCC team members have participated in regular (fortnightly) meetings to discuss the research and contribute to the forward direction. They have provided access to relevant data, models and key personnel to support the research. NCC have facilitated a joint workshop based around the HABITS project. |
| Impact | Two joint workshops held in Newcastle, attended by regional policy stakeholders, academics, researchers and others. |
| Start Year | 2016 |
| Description | EMPOWER project |
| Organisation | EMPOWER project |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | HABITS research has provided additional, in-depth analysis of EMPOWER Take-Up-City data, bringing an increased understanding of a range of impacts from positive incentives and the value of new Track and Trace data. |
| Collaborator Contribution | Take-up-City operational infrastructure and outcomes. |
| Impact | This collaboration is multi-disciplinary, spanning data analytics, transport science, health, ICT, behavioural science. |
| Start Year | 2015 |
| Description | Harvesting transport preference information from web social communities to support sustainable mobility solutions |
| Organisation | Iuav University of Venice |
| Department | Department of Architecture & Arts |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Leadership to the technical research and co-ordination of the network collaboration as a whole. Leadership of a bid for research funding. Lead authorship of journal articles and conference papers/presentations. Technical research inputs. Hosting a visit by an ECR. |
| Collaborator Contribution | Partners have made contributions in lead authorship of journal articles and conference papers/presentations. Technical research inputs. Hosting visits by researchers. |
| Impact | 3 journal articles 3 book chapters 7 conference papers/presentations 1 masters dissertation 2 finalist awards for best presentations The collaboration is multi-disciplinary involving text mining, transport policy, transport economics, statistical analysis |
| Start Year | 2011 |
| Description | Harvesting transport preference information from web social communities to support sustainable mobility solutions |
| Organisation | Technion - Israel Institute of Technology |
| Country | Israel |
| Sector | Academic/University |
| PI Contribution | Leadership to the technical research and co-ordination of the network collaboration as a whole. Leadership of a bid for research funding. Lead authorship of journal articles and conference papers/presentations. Technical research inputs. Hosting a visit by an ECR. |
| Collaborator Contribution | Partners have made contributions in lead authorship of journal articles and conference papers/presentations. Technical research inputs. Hosting visits by researchers. |
| Impact | 3 journal articles 3 book chapters 7 conference papers/presentations 1 masters dissertation 2 finalist awards for best presentations The collaboration is multi-disciplinary involving text mining, transport policy, transport economics, statistical analysis |
| Start Year | 2011 |
| Description | Harvesting transport preference information from web social communities to support sustainable mobility solutions |
| Organisation | University of Haifa |
| Department | Department of Information Systems |
| Country | Israel |
| Sector | Academic/University |
| PI Contribution | Leadership to the technical research and co-ordination of the network collaboration as a whole. Leadership of a bid for research funding. Lead authorship of journal articles and conference papers/presentations. Technical research inputs. Hosting a visit by an ECR. |
| Collaborator Contribution | Partners have made contributions in lead authorship of journal articles and conference papers/presentations. Technical research inputs. Hosting visits by researchers. |
| Impact | 3 journal articles 3 book chapters 7 conference papers/presentations 1 masters dissertation 2 finalist awards for best presentations The collaboration is multi-disciplinary involving text mining, transport policy, transport economics, statistical analysis |
| Start Year | 2011 |
| Description | Newcastle Urban Observatory |
| Organisation | Newcastle University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Team members have arranged a joint workshop with the Observatory. Technical feedback on the observatory sensors/sensor data has been provided to observatory staff. |
| Collaborator Contribution | The observatory have assisted access to large scale pollutant monitoring data to support understanding of personal exposure patterns |
| Impact | New modelling approach for diurnal patterns of atmospheric pollutants in the Newcastle City region. Joint workshop on modelling individual exposure to pollutants using sensor data with new and emerging data forms. |
| Start Year | 2017 |
| Description | Shanghai Jiao Tong University - new joint centre |
| Organisation | Shanghai Jiao Tong University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | Participation in joint workshops to develop a new joint centre between the two Universities - exchanging knowledge and using shared expertise to address grand challenges. Team members are bringing expertise with new data forms and understanding on modelling of complex cross-sectoral interactions (transport-energy-health-environment) |
| Collaborator Contribution | Mega datasets from large urban conurbations that challenge existing modelling methodologies. |
| Impact | Both collaborators have hosted joint workshops. The center is still in development. Multi-disciplinary collaboration spanning transport-health- environmental pollutants-energy-data analytics |
| Start Year | 2017 |
| Description | University of Curitiba |
| Organisation | Federal Technological University of Paraná |
| Country | Brazil |
| Sector | Academic/University |
| PI Contribution | I have acted as external examiner to student activity at the university. The University of leeds has signed an MOU with UTFP. |
| Collaborator Contribution | UFTP have supported data collection activities to better understand incentives for behavioural change. |
| Impact | Two student thesis, publication. |
| Start Year | 2018 |
| Description | WUN network |
| Organisation | Chinese University of Hong Kong |
| Country | Hong Kong |
| Sector | Academic/University |
| PI Contribution | Determination of a joint research agenda. Hosting a student for an internship. Hosting a planned joint international workshop. Financial support to travel for joint events. |
| Collaborator Contribution | Determination of joint research agenda. Hosting a planned joint international workshop. Financial support to travel for joint events. |
| Impact | this collaboration is multi-disciplinary, involving disciplines including transport, population health studies, sustainability experts, behavioural experts. |
| Start Year | 2020 |
| Description | collaboration on UK micromobility |
| Organisation | Voi Technology |
| Country | Sweden |
| Sector | Private |
| PI Contribution | Expertise in the use of new and emerging data forms, knowledge of links between micro-level data and health outcomes. |
| Collaborator Contribution | Contributions related to VOI assets and research support. |
| Impact | The collaboration has taken the form of a shared research activity, using new and emerging data forms to create understanding around the wider impacts of e-scooter use. |
| Start Year | 2020 |
| Description | collaboration on micromobility |
| Organisation | University of California, Davis |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Joint development of research bid(s) and staff resource/expertise for joint research outputs. |
| Collaborator Contribution | Joint development of research bid(s) and staff resource/expertise for joint research outputs. |
| Impact | Two conference abstracts prepared and research proposal under development. Main disciplines involved: transportation studies, behavioural science, marketing, modelling. |
| Start Year | 2019 |
| Description | collaboration on transport-health research |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Further development of software. Led workshops and large research proposal |
| Collaborator Contribution | Use of modelling software and contribution of expertise to joint proposals, engagement with workshops. |
| Impact | Multidisciplinary, involving epidemiology and transport studies. Workshop outputs from two events. |
| Start Year | 2018 |
| Title | HABITS policy support tool |
| Description | Interactive visualisation and diagnostic tool to explore: city pollutants, mobility profiles, transport-health outcomes from travel choice and the equity consequences of policy. |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Impact | to be developed further and impacts monitored |
| Description | CDRC Conference 2022: Inside Consumer Data |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | The conference was an opportunity to showcase the work of the Consumer Data Research Centre (CDRC) and set it in its broadest context. Keynote speakers were Lauren Sager Weinstein (Chief Data Officer, Transport for London) and Judith Batchelar OBE (Director of Food Matters International, formerly Director of Sainsbury's Brand). Prof. Susan Grant-Muller presented work from TRACK on the use of new data and technologies within one of the three parallel sessions, focusing on Urban Analytics. The final session was an in-conversation with four early-career researchers about their experiences on the CDRC's training programmes and working on collaborative industry/academic projects. The presentation by Prof. Grant-Muller was aimed at increasing knowledge of the potential of new data forms to improve understanding of close proximity events, thereby exposure of the public to COVID-19 or other virus, during every day travel. The event as a whole increased people's knowledge about the CDRC and will lead to new connections and collaborations (with both academia and industry). 116 attendees. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Conference presentation (European Transport Conference) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A paper entitled "A TRANSPORT AND HEALTH POLICY TOOL UTILISING NEW GENERATION DATA" was presented at the European Transport Conference in Dublin, Ireland in October 2018. This was in a session on 'Big Data' alongside two other related papers. The session was attended by approximately 40 people (standing room only in the room), who were fully engaged in the discussion session, with a number of attendees following up individually after the session. The wider ETC event attracts around 1000 attendees from across Europe (and beyond), from consultancy, academia, and government. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://aetransport.org/en-gb/past-etc-papers/conference-papers-2018?abstractId=5934&state=b |
| Description | Conference presentation (POLIS) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A presentation to the POLIS conference in Manchester, UK in November 2018 entitled "The role of new track and trace data in supporting planning and decision making at the interfaces of transport, health and the environment - The Newcastle city case study". Polis is a network of European cities and regions working together to develop innovative technologies and policies for local transport. The session included 8 related papers on "DATA-DRIVEN DECISION MAKING" and approximately 60 attendees who engaged in the question and answer sessions, as well as number of individuals who followed up personally following the session. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.polisnetwork.eu/publicdocuments/download/2461/document/the-role-of-new-track-and-trace-d... |
| Description | Data Centre Collaboration event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | The event was held jointly by LIDA (Leeds Institute for Data Analytics) and The Alan Turing Institute. The aim was to explore the benefits of greater collaboration between academics, sponsors, providers and other stakeholders with interests and responsponsibilities related to Data Centres and Digital Footprints. Presenters included representatives of JiSC, DfT, ESRC, CDRC, UBDC, Newcastle Observatory, BiB. Researchers and doctoral students had hands-on experience working with data in a parallel session to draw out some challenges and opportunities. |
| Year(s) Of Engagement Activity | 2022 |
| Description | HABITS final event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The final event involved speakers from the UK and internationally and was used to demonstrate the HABITS tool, in addition to disseminating the main project findings. It generated a lot of questions and discussion afterwards, which continues. |
| Year(s) Of Engagement Activity | 2016,2018 |
| Description | Maurice Bloch Seminar |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Undergraduate students |
| Results and Impact | collaborative visit to the Institute for Health and Wellbeing and Urban Big Data Centre Glasgow to discuss joint research activity. As part of this I delivered the Maurice Bloch seminar. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Quantifying Personal Pollution Impacts to Inform Transport Scheme Innovation through New Generation Mobility Data |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Presentation to the European Colloquium on Theoretical and Quantitative Geography (ECTQG) 7-11 September, 2017, York, UK. |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://surf.leeds.ac.uk/p/2017-09-08-ectqg-surf.pdf |
| Description | Sustrans Webinar |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Approached by Sustrans Director following POLIS presentation to give Webinar to Sustrans employees on incentivisation schemes and use of new and emerging data forms. Employees logged in at sites across the UK, with many follow up questions both on and off line. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Sustrans Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Supported the organisation of a Sustrans internal team event (Research and Monitoring) at the Institute for Transport Studies. Arranged presentations from colleagues that would be of interest to Sustrans and Frances Hodgson gave presentation on Habits related work. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Website |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Habits website |
| Year(s) Of Engagement Activity | Pre-2006,2017 |
| URL | http://www.habitsdata.org |
| Description | Workshop 1 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The first HABIT's workshop, entitled 'Improving the Evidence Base' was held at the Crowne Plaza Hotel in Newcastle-upon-Tyne on Wednesday 6th December 2017. The purpose of the workshop was to discuss current data gaps for the development of health, transport and air quality policy, and the potential of new and emerging forms of smartphone Track and Trace (T&T) data. The workshop comprised of presentations by HABITS team members and small group discussions, on existing data sources, opportunities for the use of T&T data, current HABITs research activities (eg physical activity modelling and pollution exposure) and a potential T&T tool. Invitations were targeted to air quality, public health and transport planning practitioners and policy makers from local authorities in the North East of England. There were 15 attendees in total from eight councils (Newcastle, South Tyneside, Durham, Gateshead, Northumberland, Sunderland, Stockton-on-Tees and Darlington), as well as the Tees Valley Combined Authority and Public Health England (NE). There was an even share of attendees working in transport and public health with interests related to air quality and modelling. Although there were concerns about representativeness, accurate reporting, data standards/protection and interoperability between different apps and their data, useful features of T&T data identified by the attendees: • Can allow the targeting of specific demographics. • Allows for gathering qualitative feedback that is often missing. • May help challenge perceptions or assumptions. • Can overcome issues of dated or limited data |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://habitsdata.org/news/ |
| Description | Workshop 2 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The second HABIT's workshop, entitled "Air quality exposure and mobility tracing" took place on January 29th 2018, hosted by the Newcastle Urban Observatory. The purpose of the workshop was to demonstrate the potential and discuss the challenges of using environmental sensing and mobile phone "track and trace" (T&T) data to: - Understand the exposure of individuals and populations to air pollution, - Understand the physical activity levels of individuals and populations, to inform policy and debate around air quality, physical activity and travel choices. The workshop featured an introduction by Dr Nick Malleson, an introduction to the Newcastle Urban Observatory by Jennine Jonczyk, a talk describing recent research undertaken by the HABITS team by Dr Tom Redfern, a live demonstration of an interactive visualisation of a new air pollution model for Newcastle and a group discussion around how T&T data can be combined with air pollution data by transport planning practitioners and policy makers from local authorities, as well as academics, local residents and other interested parties. There were around 20 attendees from local authorities, the Universities of Newcastle, Oxford and the Open University, as well as the Newcastle Urban Observatory, Sustrans and local resident groups. The workshop discussions focussed on recent work to create a spatio-temporal model of NO2 concentrations within Newcastle and the surrounding region, combining the data collected by the Urban Observatory with a new geospatial method developed specifically as part of the HABITS project. The discussion session focussed on two topics (i) how the pollution model can be improved and validated against existing models, and (ii) how T & T data can be used to target and implement air quality, transport planning and public health policy. Several opportunities and challenges in using T & T data were expressed during the group discussion: - How to ensure that the "digital divide" doesn't exclude individuals who lack access to the required technology to engage with the T&T App? - How representative of the overall population is the data generated by the T & T app, given the small number of people generating the dataset in relation to the population? - The app generating the T & T data could be adapted to inform users of their air pollution exposure, and people could be incentivised to alter their mode (and thus route) to reduce exposure. - An air pollution map could be used by individuals to understand how their own route and mode choices affect their individual exposure to air pollution. - The pollution map and T&T data could be used to find locations with reduced pollution levels, which could then be used to reconsider cycling/walking infrastructure to provide low exposure routes. - Pollution mapping could be used to plan important infrastructure (e.g. hospitals) to (i) reduce the exposure of buildings and (ii) plan more sustainable transport routes. - T & T data could be used to monitor the effectiveness of transport policies and physical engineering schemes, potentially in near real time. |
| Year(s) Of Engagement Activity | 2018 |
| Description | workshop on New and Emerging Data Forms |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | workshop on the role of new and emerging data in the transport sector. |
| Year(s) Of Engagement Activity | 2019 |