Susan Hughes

Dr Susan Hughes


Reader
BSc, DPhil (Oxon)
+44 (0)1483 686618
06 AA 03

Academic and research departments

Department of Civil and Environmental Engineering.

Biography

Areas of specialism

Air Quality and Transportation; Numerical Weather Prediction (NWP) and Data Assimilation; Water Quality and Risk Assessments in Developing Countries

University roles and responsibilities

  • NERC SCENARIO Co-Director (http://www.met.reading.ac.uk/nercdtp/home/)
  • CEE PGR Director

    Previous roles

    2014 - 2017
    I was the Departmental lead on the CEE Bronze submission (November 2015) and University panel member on the Institutional Bronze submission (2017/18).

    Research

    Research interests

    Research collaborations

    Supervision

    Completed postgraduate research projects I have supervised

    Postgraduate research supervision

    My teaching

    Courses I teach on

    Undergraduate

    My publications

    Publications

    JINGYAN YU, ALEX HIDDE HAGEN-ZANKER, NARATIP SANTITISSADEEKORN, SUSAN JANE HUGHES (2021)Calibration of Cellular Automata urban growth models from urban genesis onwards - A novel application of Markov Chain Monte Carlo Approximate Bayesian Computation, In: Computers, environment and urban systems Elsevier

    Cellular Automata (CA) models are widely used to study spatial dynamics of urban growth and evolving patterns of land use. One complication across CA approaches is the relatively short period of data available for calibration, providing sparse information on patterns of change and presenting problematic signal-to-noise ratios. To overcome the problem of short-term calibration, this study investigates a novel approach in which the model is calibrated based on the urban morphological patterns that emerge from a simulation starting from urban genesis, i.e., a land cover map completely void of urban land. The application of the model uses the calibrated parameters to simulate urban growth forward in time from a known urban configuration. This approach to calibration is embedded in a new framework for the calibration and validation of a Constrained Cellular Automata (CCA) model of urban growth. The investigated model uses just four parameters to reflect processes of spatial agglomeration and preservation of scarce non-urban land at multiple spatial scales and makes no use of ancillary layers such as zoning, accessibility, and physical suitability. As there are no anchor points that guide urban growth to specific locations, the parameter estimation uses a goodness-of-fit (GOF) measure that compares the built density distribution inspired by the literature on fractal urban form. The model calibration is a novel application of Markov Chain Monte Carlo Approximate Bayesian Computation (MCMC-ABC). This method provides an empirical distribution of parameter values that reflects model uncertainty. The validation uses multiple samples from the estimated parameters to quantify the propagation of model uncertainty to the validation measures. The framework is applied to two UK towns (Oxford and Swindon). The results, including cross-application of parameters, show that the models effectively capture the different urban growth patterns of both towns. For Oxford, the CCA correctly produces the pattern of scattered growth in the periphery, and for Swindon, the pattern of compact, concentric growth. The ability to identify different modes of growth has both a theoretical and practical significance. Existing land use patterns can be an important indicator of future trajectories. Planners can be provided with insight in alternative future trajectories, available decision space, and the cumulative effect of parcel-by-parcel planning decisions.

    Ramtin Avini, Prashant Kumar, Susan J. Hughes (2019)Wind loading on high-rise buildings and the comfort effects on the occupants, In: Sustainable Cities and Society45pp. 378-394 Elsevier

    The design of low to medium-rise buildings is based on quasi-static analysis of wind loading. Such procedures do not fully address issues such as interference from other structures, wind directionality, across-wind response and dynamic effects including acceleration, structural stiffness and damping which influence comfort criteria of the occupants. This paper studies wind loads on a prototype, rectangular cross-section building, 80 m high. Computational Wind Tunnel (CWT) tests were performed using Autodesk Flow Design with the buildings located in London and New York City. The analysis included tests with and without the surrounding structures and manual computation of wind loads provided data for comparison. Comfort criteria (human response to building motion) were assessed from wind-induced horizontal peak accelerations on the top floor. As expected, analytical methods proved conservative, with wind pressures significantly larger than those from the CWT tests. Surrounding structures reduced the mean component of the wind action. As for comfort criteria, across-wind direction governed the horizontal accelerations with wind targeted on the building’s narrow face. CWT tests provide a cheaper alternative to experimental wind tunnel tests and can be used as preliminary design tools to aid civil engineers, architects and designers with high-rise developments in urban environments.

    Nick Grudgings, Susan Hughes, Alex Hagen-Zanker (2021)The comparison and interaction of age and gender effects on cycling mode-share: An analysis of commuting in England and Wales, In: Journal of Transport & Health20101004 Elsevier Ltd

    The physical and mental health benefits of cycling are well established. During the COVID-19 pandemic cycling has also presented additional health benefits by enabling social distancing compared to public transport modes. In low-cycling countries these benefits are unevenly realised, with substantial differences in cycling mode share by age and gender. In England and Wales women are four times less likely to commute by bicycle than men; and commuters aged 35–49 cycle more than other age categories. This paper explores these demographic effects and their interactions. It uses logit models to examine the relationship between 17 determinants of cycling mode share and cycling rates for six demographic groups (males and females in age categories of 18-34, 35–49 and 50–74) across 29,694 small geographic units in England and Wales. The determinants comprise: distance; population density; cycle paths; cycle lanes; traffic density; hilliness; temperature; sun; rain; wind; wealth; lower social status; children; green votes; bicycle performance; traffic risk and parking costs. Determinants associated with physical effort (hilliness and distance) and traffic (traffic density and cycle lanes) are more important in the older age groups for both men and women. More important than the qualitative mix of determinants is their combined effect, or utility. Women require a higher threshold of utility to start cycling than men; and in higher utility environments gender differences are almost non-existent. Differences in cycling rates by age-group also reduce in higher utility environments, although the effects are less pronounced and older commuters still cycle less than other age-groups even in the highest utility environemnts. The results provide insight into the relative importance of gender versus age, and illustrate that cycling rates are more strongly associated with gender than age. For both dimensions, better cycling environments are shown to be more equal cycling environments. •The analysis examines interactions between age, gender and determinants of cycling.•Gender has a greater influence on commuter cycling behaviours than age.•Physical and risk factors may be more important for older commuters.•More supportive cycling environments are more equal in terms of both age and gender.

    T Kelay, DL Uzzell, B Gatersleben, SJ Hughes, EE Hellawell (2001)Integrating scientific and lay accounts of air pollution, In: AIR POLLUTION IX10pp. 23-32
    Emma E Hellawell, Susan J Hughes (2020)Asbestos contamination on brownfield development sites in the UK, In: Environmental Research110480 Elsevier Inc

    The development of brownfield sites in the UK requires site investigation for contamination as part of the regulatory planning process. This site investigation includes the collection of soil samples that are analysed for asbestos contamination. This research project analyses this untapped resource of brownfield asbestos data, using site investigation data submitted to a local Borough Council, in Surrey, UK. Over 100 site investigation reports were collected. This paper presents the trends in asbestos testing from 2001 to 2019 and data on the location, concentration, form and type of asbestos found in this Borough. The rate of asbestos detection has increased significantly, reflecting improvements in asbestos measuring techniques, to a rate of 22% for all samples tested between 2016 and 2019. The concentrations of asbestos found were very low, with 74% of samples having concentrations below the limit of detection of the laboratory and were predominantly of fibrous form. A significant proportion of samples contained more carcinogenic amphibole type. Most of the asbestos was found in the top 1 m of Made Ground soil. Site history was found to be important with gas works having the highest asbestos detection rate, though a detection rate of 10% was found in soil samples on former residential sites. This information is important to inform and update risk assessment for site workers and site remediation in relation to asbestos. Hence based upon these results, a qualitative risk chart for asbestos is presented to provide guidance and in-sight into asbestos on brownfield sites for local authorities and developers.

    EMMA HELLAWELL, (2020)The potential use of local government planning data for soil contamination analyses, In: Municipal Engineer ICE Publishing

    Contamination information is obtained at considerable expense through site investigations by developers in the UK. This field information is submitted to local government as part of the planning process. Local government, therefore, has a vast resource of site-specific contamination data for developments in their area. These data are focussed on brownfield sites. They are in hard quality format with some data quality issues, particularly for older site investigations. This research presents the results of a study to access and analyse this data. The dataset is evaluated in terms of the information available, its form, quality and the potential use of this information for researchers, regulators and developers. A preliminary analysis of the data is presented in which the main contaminants in the study area were investigated and local anomalies such as elevated lead levels were highlighted. In addition, asbestos was found at low concentrations in 25% of made ground soil samples; a result requiring further study to inform future risk assessment. The potential use of this countrywide dataset is currently limited by the hardcopy format and storage of the dataset. Updating the submission to digital format could result in a vast national resource of brownfield information.

    Nick Grudgings, Alex Hagen-Zanker, Susan Hughes, Birgitta Gatersleben, Marc Woodall, Will Bryans (2018)Why don't more women cycle? An analysis of female and male commuter cycling mode-share in England and Wales, In: Journal of Transport and Health10pp. 272-283 Elsevier

    Women are under-represented in commuter cycling in England and Wales. Consequently, women miss out on the health benefits of active commuting over distances where walking is less practical. Similarly, where cycling could replace motorised forms of transport, society is missing out on the wider health benefits associated with reductions in air pollution, road noise and social severance. This paper uses aggregate (ecological) models to investigate the reasons behind the gender gap in cycling. The relative attractiveness of cycling in different areas is described using a set of 17 determinants of commuter cycling mode share: distance, population density, cycle paths, cycle lanes, traffic density, hilliness, temperature, sun, rain, wind, wealth, lower social status, children, green votes, bicycle performance, traffic risk and parking costs. The correlation between these determinants and census-recorded cycling mode share is examined in logit models for commuters who work 2-5 km from home. The models explain a large share of the variation in cycling levels. There are small but significant differences in the importance of individual determinants between men and women. However, the gender gap is largely explained by a differentiated response to the relative attractiveness of an area for cycling, the sum effect of all determinants. The ratio of male to female cycling rates is greatest in areas that are less attractive for cycling, whereas in the most attractive areas the ratio approaches parity. On average, women require a more conducive environment for cycling than men. Since the typical environment in England and Wales is not conducive for cycling, women are under-represented in commuter cycling rates and miss out on the health dividend. The results suggest improvements to the cycling environment may be moderated by the existing attractiveness of the environment for cycling, with improvements in less attractive areas having a smaller absolute effect on cycling rates.

    C Foster, L Calman, C Grimmett, M Breckons, P Cotterell, L Yardley, J Joseph, S Hughes, R Jones, C Leonidou, Jo Armes, L Batehup, J Corner, D Fenlon, E Lennan, C Morris, A Neylon, E Ream, L Turner, A Richardson (2015)Managing fatigue after cancer treatment: development of RESTORE, a web-based resource to support self-management, In: Psycho-Oncology24(8)pp. 940-949 Wiley

    Objective The aim of this study is to co-create an evidence-based and theoretically informed web-based intervention (RESTORE) designed to enhance self-efficacy to live with cancer-related fatigue (CRF) following primary cancer treatment. Methods A nine-step process informed the development of the intervention: (1) review of empirical literature; (2) review of existing patient resources; (3) establish theoretical framework; (4) establish design team with expertise in web-based interventions, CRF and people affected by cancer; (5) develop prototype intervention; (6) user testing phase 1; (7) refinement of prototype; (8) user testing phase 2; and (9) develop final intervention. Results Key stakeholders made a critical contribution at every step of intervention development, and user testing, which involved an iterative process and resulted in the final intervention. The RESTORE intervention has five sessions; sessions 1 and 2 include an introduction to CRF and goal setting. Sessions 3–5 can be tailored to user preference and are designed to cover areas of life where CRF may have an impact: home and work life, personal relationships and emotional adjustment. Conclusions It is feasible to systematically ‘co-create’ an evidence-based and theory-driven web-based self-management intervention to support cancer survivors living with the consequences of cancer and its treatment. This is the first account of the development of a web-based intervention to support self-efficacy to manage CRF. An exploratory trial to test the feasibility and acceptability of RESTORE is now warranted. Copyright © 2015 John Wiley & Sons, Ltd.

    M Mavroulidou, SJ Hughes, EE Hellawell (2004)A qualitative tool combining an interaction matrix and a GIS to map vulnerability to traffic induced air pollution, In: JOURNAL OF ENVIRONMENTAL MANAGEMENT70(4)pp. 283-289 ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
    MS Lythe, SJ Hughes, EE Hellawell (2001)Long-term countywide NO2 variations in Surrey, In: AIR POLLUTION IX10pp. 559-568
    M Mavroulidou, SJ Hughes, EE Hellawell (2002)A qualitative decision-making tool for transport planners, assessing urban pollution due to traffic, In: URBAN TRANSPORT VIII12pp. 375-383
    IM Cowan, EE Hellawell, SJ Hughes (2001)The relationship between traffic throughput and the associated primary pollutants in Surrey, In: AIR POLLUTION IX10pp. 431-438
    LL Lim, SJ Hughes, EE Hellawell (2005)Integrated decision support system for urban air quality assessment, In: ENVIRONMENTAL MODELLING & SOFTWARE20(7)pp. 947-954 ELSEVIER SCI LTD
    EE Hellawell, J Lament-Black, AC Kemp, SJ Hughes (2001)GIS as a tool in geotechnical engineering, In: PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING149(2)pp. 85-93 THOMAS TELFORD SERVICES LTD
    SJ Hughes, EE Hellawell, G Strongitharm (2000)Evaluation of traffic related nitrogen dioxide data in Surrey, In: AIR POLLUTION VIII8pp. 359-368
    M Holloway-Strong, SJ Hughes (2001)The influence of contact area on the deformation of chalk, In: QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY34pp. 99-110 GEOLOGICAL SOC PUBL HOUSE
    M Mavroulidou, SJ Hughes, EE Hellawell (2007)Developing the interaction matrix technique as a tool assessing the impact of traffic on air quality, In: JOURNAL OF ENVIRONMENTAL MANAGEMENT84(4)pp. 513-522 ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
    MU Holloway-Strong, SJ Hughes, EE Hellawell (2007)Stress-deformation behavior of chalk, In: International Journal of Geomechanics7(6)pp. 403-409

    When strong rock masses, with discontinuity patterns parallel and perpendicular to the ground surface, are subjected to normal loads, linear or concave stress-deformation curves are produced. In contrast, chalk rock masses with the same discontinuity pattern, produce convex curves. This paper investigates the underlying mechanisms, which may be responsible for such differences. Experimental results are presented for profiled chalk specimens in which the contact area at the discontinuity boundary is approximately 15% of the specimen cross-sectional area. It was found that these low contact area specimens exhibited both concave and convex behavior. This behavior was attributed to discontinuity closure and yielding of the intact material, respectively. The overall trend in behavior was found to be a function of the contact area at the discontinuity boundary, the initial discontinuity aperture, and the yield stress. © 2007 ASCE.

    PE Canning, EE Hellawell, SJ Hughes, BCM Gatersleben, CJ Fairhead (2010)'Devolution' of transport powers to Local Government: Impacts of the 2004 Traffic Management Act in England, In: TRANSPORT POLICY17(2)pp. 64-71 ELSEVIER SCI LTD
    RI Woods, SJ Hughes, A Kuras (1995)Finite element analysis of the effects of rising groundwater on a deep basement, In: NUMERICAL MODELS IN GEOMECHANICSpp. 657-662
    PE Canning, EE Hellawell, SJ Hughes, CJ Fairhead, BCM Gatersleben, CA Brebbia (2007)The implementation of the Traffic Management Act in England: the role of technology, In: URBAN TRANSPORT XIII96pp. 381-390
    M Wakeling, J Eyre, S Hughes, I Roulstone (2015)Assimilation of vertical motion from simulated cloudy satellite imagery in an idealized single column model, In: Quarterly Journal of the Royal Meteorological Society141(689)pp. 1198-1207

    Satellite infrared sounders are invaluable tools for making observations of the structure of the atmosphere. They provide much of the observational data used to initialize atmospheric models, especially in regions that do not have extensive surface-based observing systems, such as oceans. However, information is lacking in the presence of cloud, as the cloud layer is opaque to infrared radiation. This means that where information is most desired (such as in a developing storm) it is often in the shortest supply. In order to explore the mathematics of assimilating data from cloudy radiances, a study has been performed using an idealized single-column atmospheric model. The model simulates cloud development in an atmosphere with vertical motion, allowing the characteristics of a 2D-Var data assimilation system using a single simulated infrared satellite observation taken multiple times to be studied. The strongly nonlinear nature of cloud formation poses a challenge for variational methods. The adjoint method produces an accurate gradient for the cost function and minimization is achieved using preconditioned conjugate gradients. The conditioning is poor and varies strongly with the atmospheric variables and the cost function has multiple minima, but acceptable results are achieved. The assimilation system is provided with a prior forecast simulated by adding random correlated Gaussian error to the truth. Assimilating observations comparable to those available from current geostationary satellites allows vertical motion to be retrieved with an error of less than a centimetre per second in most conditions. Moreover, evaluating the second derivative of the cost function at the minimum provides an estimate of the uncertainty in the retrieval. This allows atmospheric states that do not provide sufficient information for retrieval of vertical motion to be detected (such as a cloudless atmosphere or a non-moving opaque cloud layer in the upper troposphere). Retrieval is most accurate with upwards motion.