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Hybrid Neural Networks and Boosted Regression Tree Models for Predicting Roadside Particulate Matter

Environmental modeling & assessment, 2016-12, Vol.21 (6), p.731-750

2016

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Assessment and prediction of the impact of road transport on ambient concentrations of particulate matter PM10

Transportation research. Part D, Transport and environment, 2016-12, Vol.49, p.301-312

2016

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Incorporating equity considerations in transport infrastructure evaluation: Current practice and a proposed methodology

Evaluation and program planning, 2009-11, Vol.32 (4), p.351-359

2009

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A comparison of three methods for assessing the walkability of the pedestrian environment

Journal of transport geography, 2011-11, Vol.19 (6), p.1500-1508

2011

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A comparative study of using Random Forests (RF), Extreme Learning Machine (ELM) and Deep Learning (DL) algorithms in modelling Roadside Particulate Matter (PM10 & PM2.5)

IOP conference series. Earth and environmental science, 2020-04, Vol.476 (1), p.12126

2020

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Urban Resilience to Floods in Coastal Cities: Challenges and Opportunities for Ho Chi Minh City and Other Emerging Cities in Southeast Asia

Journal of urban planning and development, 2018-03, Vol.144 (1)

2018

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Applying hybrid feature selection methods for statistical modelling of roadside particle concentrations (PM2.5 and PNC)

International journal of environmental impacts (Print), 2020-04, Vol.3 (2), p.101

2020

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The unmet travel needs of the older population: a review of the literature

Transport reviews, 2017-07, Vol.37 (4), p.488-506

2017

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Travel difficulties and barriers during later life: Evidence from the National Travel Survey in England

Journal of transport geography, 2021-02, Vol.91, p.102973, Article 102973

2021

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Exploring the distances people walk to access public transport

Transport reviews, 2020-03, Vol.40 (2), p.160-182

2020

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Applying machine learning methods in managing urban concentrations of traffic-related particulate matter (PM10 and PM2.5)

Atmospheric pollution research, 2019-01, Vol.10 (1), p.134-144

2019

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Sustainable urban transport – the role of walking and cycling

Proceedings of the Institution of Civil Engineers. Engineering sustainability, 2016-06, Vol.169 (3), p.87-91

Tight, Miles

2016

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Factors influencing the propensity to cycle to work

Transportation research. Part A, Policy and practice, 2007-05, Vol.41 (4), p.339-350

2007

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Hydrogeologic Controls of Surface Water‐Groundwater Nitrogen Dynamics Within a Tidal Freshwater Zone

Journal of geophysical research. Biogeosciences, 2019-11, Vol.124 (11), p.3343-3355

2019

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Research into higher education: an a-theoretical community of practice?

Higher education research and development, 2004-11, Vol.23 (4), p.395-411

Tight, Malcolm

2004

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Knowing their place on the roads: What would equality mean for walking and cycling?

Transportation research. Part A, Policy and practice, 2014-03, Vol.61, p.238-248

2014

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Imagineering Mobility: Constructing Utopias for Future Urban Transport

Environment and planning. A, 2014-01, Vol.46 (1), p.78-93

2014

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An investigation into the factors influencing travel needs during later life

Journal of transport & health, 2018-12, Vol.11, p.86-99

2018

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Exploring transport perceptions across urban areas using free associations

Transportation research. Part F, Traffic psychology and behaviour, 2019-08, Vol.65, p.316-333

2019

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Innovation and integration in urban transport policy

Transport policy, 2006-07, Vol.13 (4), p.281-282

2006

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A conceptual framework to assess the unmet travel needs in later life

Journal of transport & health, 2018-06, Vol.9, p.321-331

2018

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Policies for promoting walking and cycling in England: A view from the street

Transport policy, 2013-05, Vol.27, p.66-72

2013

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Visions for a walking and cycling focussed urban transport system

Journal of transport geography, 2011-11, Vol.19 (6), p.1580-1589

2011

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What is a sustainable level of CO2 emissions from transport activity in the UK in 2050?

Transport policy, 2005-05, Vol.12 (3), p.235-244

2005

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Developing pathways to low carbon land-based passenger transport in Great Britain by 2050

Energy policy, 2008-09, Vol.36 (9), p.3427-3435

2008

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Hybrid Neural Networks and Boosted Regression Tree Models for Predicting Roadside Particulate Matter

Assessment and prediction of the impact of road transport on ambient concentrations of particulate matter PM10

Incorporating equity considerations in transport infrastructure evaluation: Current practice and a proposed methodology

A comparison of three methods for assessing the walkability of the pedestrian environment

A comparative study of using Random Forests (RF), Extreme Learning Machine (ELM) and Deep Learning (DL) algorithms in modelling Roadside Particulate Matter (PM10 & PM2.5)

Urban Resilience to Floods in Coastal Cities: Challenges and Opportunities for Ho Chi Minh City and Other Emerging Cities in Southeast Asia

Applying hybrid feature selection methods for statistical modelling of roadside particle concentrations (PM2.5 and PNC)

The unmet travel needs of the older population: a review of the literature

Travel difficulties and barriers during later life: Evidence from the National Travel Survey in England

Exploring the distances people walk to access public transport

Applying machine learning methods in managing urban concentrations of traffic-related particulate matter (PM10 and PM2.5)

Sustainable urban transport – the role of walking and cycling

Factors influencing the propensity to cycle to work

Hydrogeologic Controls of Surface Water‐Groundwater Nitrogen Dynamics Within a Tidal Freshwater Zone

Research into higher education: an a-theoretical community of practice?

Knowing their place on the roads: What would equality mean for walking and cycling?

Imagineering Mobility: Constructing Utopias for Future Urban Transport

An investigation into the factors influencing travel needs during later life

Exploring transport perceptions across urban areas using free associations

Innovation and integration in urban transport policy

A conceptual framework to assess the unmet travel needs in later life

Policies for promoting walking and cycling in England: A view from the street

Visions for a walking and cycling focussed urban transport system

What is a sustainable level of CO2 emissions from transport activity in the UK in 2050?

Developing pathways to low carbon land-based passenger transport in Great Britain by 2050

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