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<p><strong><span style="font-family:"Arial",sans-serif">“Towards Sustainable Mobility in Cities: Improve Active Travel Safety Using GIS-coupled Urban Big Data Analytics”.</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The above project has been shortlisted for the 2016/17 round of Lord Kelvin Adam Smith PhD Scholarships at University of Glasgow, UK. The application is open until Friday 22 January 2016.<o:p></o:p></span></p>
<p><strong><span style="font-family:"Arial",sans-serif">Project Description</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The aim of this project is to understand active travel using geographical information system (GIS) coupled urban big data analytics, assisting stakeholders from various backgrounds with decision-making regarding
road safety and sustainability of urban transport. As an important way to promote sustainable transportation, active travel has become increasingly popular due to the benefits of improving physical fitness and reducing carbon emissions. However, pedestrians
and cyclists are the most vulnerable road users with a high risk of exposure to road accidents. Today, emerging urban big data are shifting the manner of urban management, enabling better understanding of complex urban systems and developing effective solutions
to sustainable and smart cities. Such data must be combined and analysed in meaningful ways if valuable insights on city operations are to be obtained. Using both administrative data of UK and the unique spatial survey data collected by the Urban Big Data
Centre (UBDC) (<a href="http://ubdc.ac.uk/" title="http://ubdc.ac.uk/">http://ubdc.ac.uk/</a>) at University of Glasgow, the primary goal of this project is to develop GIS-coupled urban big data analytics to understand and predict spatial-temporal patterns/trend
of urban mobility (particularly active travel), assess the risks of exposure to road accidents for road users (particularly pedestrians and cyclists), evaluate road walkability and suitability of cycling lanes, as well as to provide suggestions for priority
site selection for future remedial measures.<o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The successful candidate will be jointly supervised by Dr Jing Yao (Lead Supervisor, UBDC), Prof. Rich Mitchell (Public Health), Dr Brian Barrett (Geography) and Prof. Piyushimita Thakuriah (UBDC). The scholar
will have opportunities to work with a multi-disciplinary research team including other talented graduate students, post-doctorates, and faculty members from UBDC, School of Geographical and Earth Sciences and Centre for Research on Environment, Society and
Health (CRESH) (<a href="http://cresh.org.uk/" title="http://cresh.org.uk/">http://cresh.org.uk/</a>). In addition, the scholar will have exciting opportunities to gain training and experiences in spatial statistics, transport modelling and big data analytics.<o:p></o:p></span></p>
<p><strong><span style="font-family:"Arial",sans-serif">Scholarship Value and Duration</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The project, if successful, will be funded up to 4 years and will cover a stipend at the Research Council recommended rates (estimated to be £14,254 in 2016/17). Each scholarship includes an annual consumables
allowance to contribute towards the running of the project, student travel and conference attendance. The 2016/17 consumables budget is capped at £3000 per annum.<o:p></o:p></span></p>
<p><strong><span style="font-family:"Arial",sans-serif">Candidate Specification</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">Qualified candidates should have a Master's degree in Geography, Transport Planning or a related discipline. Candidates should have strong interests in GIScience, remote sensing and big data in the contexts of
urban geography, transport and public health. Preference will be given to applicants with demonstrated expertise in GIS-based spatial analyses, quantitative methods (e.g., mathematical modelling and statistics) and computer programming (e.g., R and Python).
Excellent written and verbal communication skills and ability to work in an interdisciplinary team environment are desirable. Research experience in transport geography and/or health geography is a plus.<o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">Candidates whose first language is not English must show evidence of appropriate competence in English. You can find the specific requirements on the international students’ pages (<a href="http://www.gla.ac.uk/international/englishlanguagerequirements/" title="http://www.gla.ac.uk/international/englishlanguagerequirements/">www.gla.ac.uk</a>).<o:p></o:p></span></p>
<p><strong><span style="font-family:"Arial",sans-serif">Application details</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">Interested candidates should send a resume/C.V., a cover letter, transcripts, evidence of English competence for students whose native language is not English, and contact information for two referees to Dr. Jing
Yao at <a href="mailto:Jing.Yao@glasgow.ac.uk" title="mailto:Jing.Yao@glasgow.ac.uk">
Jing.Yao@glasgow.ac.uk</a>. The desired start date is 1<sup>st</sup> Oct, 2016.<o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The application deadline: <strong>
<span style="font-family:"Arial",sans-serif">22<sup>nd</sup> January, 2016</span></strong>.
</span><span style="font-family:"MS Gothic""> </span><span style="font-family:"Arial",sans-serif">For more information about the Lord Kelvin Adam Smith PhD Scholarships, please visit<o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif"><a href="http://www.gla.ac.uk/services/postgraduateresearch/scholarships/kelvinsmith/" title="http://www.gla.ac.uk/services/postgraduateresearch/scholarships/kelvinsmith/">www.gla.ac.uk</a> and
<a href="http://www.gla.ac.uk/services/postgraduateresearch/scholarships/kelvinsmith/shortlistedscholarshipprojects/" title="http://www.gla.ac.uk/services/postgraduateresearch/scholarships/kelvinsmith/shortlistedscholarshipprojects/">
www.gla.ac.uk</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">------------------------------<br>
JING YAO<br>
University of Glasgow<br>
Jing.Yao@glasgow.ac.uk<br>
------------------------------ <o:p></o:p></span></p>
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<p><strong><span style="font-family:"Arial",sans-serif">“Towards Sustainable Mobility in Cities: Improve Active Travel Safety Using GIS-coupled Urban Big Data Analytics”.</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The above project has been shortlisted for the 2016/17 round of Lord Kelvin Adam Smith PhD Scholarships at University of Glasgow, UK. The application is open until Friday 22 January 2016.<o:p></o:p></span></p>
<p><strong><span style="font-family:"Arial",sans-serif">Project Description</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The aim of this project is to understand active travel using geographical information system (GIS) coupled urban big data analytics, assisting stakeholders from various backgrounds with decision-making regarding
road safety and sustainability of urban transport. As an important way to promote sustainable transportation, active travel has become increasingly popular due to the benefits of improving physical fitness and reducing carbon emissions. However, pedestrians
and cyclists are the most vulnerable road users with a high risk of exposure to road accidents. Today, emerging urban big data are shifting the manner of urban management, enabling better understanding of complex urban systems and developing effective solutions
to sustainable and smart cities. Such data must be combined and analysed in meaningful ways if valuable insights on city operations are to be obtained. Using both administrative data of UK and the unique spatial survey data collected by the Urban Big Data
Centre (UBDC) (<a href="http://ubdc.ac.uk/" title="http://ubdc.ac.uk/">http://ubdc.ac.uk/</a>) at University of Glasgow, the primary goal of this project is to develop GIS-coupled urban big data analytics to understand and predict spatial-temporal patterns/trend
of urban mobility (particularly active travel), assess the risks of exposure to road accidents for road users (particularly pedestrians and cyclists), evaluate road walkability and suitability of cycling lanes, as well as to provide suggestions for priority
site selection for future remedial measures.<o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The successful candidate will be jointly supervised by Dr Jing Yao (Lead Supervisor, UBDC), Prof. Rich Mitchell (Public Health), Dr Brian Barrett (Geography) and Prof. Piyushimita Thakuriah (UBDC). The scholar
will have opportunities to work with a multi-disciplinary research team including other talented graduate students, post-doctorates, and faculty members from UBDC, School of Geographical and Earth Sciences and Centre for Research on Environment, Society and
Health (CRESH) (<a href="http://cresh.org.uk/" title="http://cresh.org.uk/">http://cresh.org.uk/</a>). In addition, the scholar will have exciting opportunities to gain training and experiences in spatial statistics, transport modelling and big data analytics.<o:p></o:p></span></p>
<p><strong><span style="font-family:"Arial",sans-serif">Scholarship Value and Duration</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The project, if successful, will be funded up to 4 years and will cover a stipend at the Research Council recommended rates (estimated to be £14,254 in 2016/17). Each scholarship includes an annual consumables
allowance to contribute towards the running of the project, student travel and conference attendance. The 2016/17 consumables budget is capped at £3000 per annum.<o:p></o:p></span></p>
<p><strong><span style="font-family:"Arial",sans-serif">Candidate Specification</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">Qualified candidates should have a Master's degree in Geography, Transport Planning or a related discipline. Candidates should have strong interests in GIScience, remote sensing and big data in the contexts of
urban geography, transport and public health. Preference will be given to applicants with demonstrated expertise in GIS-based spatial analyses, quantitative methods (e.g., mathematical modelling and statistics) and computer programming (e.g., R and Python).
Excellent written and verbal communication skills and ability to work in an interdisciplinary team environment are desirable. Research experience in transport geography and/or health geography is a plus.<o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">Candidates whose first language is not English must show evidence of appropriate competence in English. You can find the specific requirements on the international students’ pages (<a href="http://www.gla.ac.uk/international/englishlanguagerequirements/" title="http://www.gla.ac.uk/international/englishlanguagerequirements/">www.gla.ac.uk</a>).<o:p></o:p></span></p>
<p><strong><span style="font-family:"Arial",sans-serif">Application details</span></strong><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">Interested candidates should send a resume/C.V., a cover letter, transcripts, evidence of English competence for students whose native language is not English, and contact information for two referees to Dr. Jing
Yao at <a href="mailto:Jing.Yao@glasgow.ac.uk" title="mailto:Jing.Yao@glasgow.ac.uk">
Jing.Yao@glasgow.ac.uk</a>. The desired start date is 1<sup>st</sup> Oct, 2016.<o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif">The application deadline: <strong>
<span style="font-family:"Arial",sans-serif">22<sup>nd</sup> January, 2016</span></strong>.
</span><span style="font-family:"MS Gothic""> </span><span style="font-family:"Arial",sans-serif">For more information about the Lord Kelvin Adam Smith PhD Scholarships, please visit<o:p></o:p></span></p>
<p><span style="font-family:"Arial",sans-serif"><a href="http://www.gla.ac.uk/services/postgraduateresearch/scholarships/kelvinsmith/" title="http://www.gla.ac.uk/services/postgraduateresearch/scholarships/kelvinsmith/">www.gla.ac.uk</a> and
<a href="http://www.gla.ac.uk/services/postgraduateresearch/scholarships/kelvinsmith/shortlistedscholarshipprojects/" title="http://www.gla.ac.uk/services/postgraduateresearch/scholarships/kelvinsmith/shortlistedscholarshipprojects/">
www.gla.ac.uk</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">------------------------------<br>
JING YAO<br>
University of Glasgow<br>
Jing.Yao@glasgow.ac.uk<br>
------------------------------ <o:p></o:p></span></p>
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