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Nabeel Shakeel

Measuring temporal-spatial inequalities in accessing bus and cycle routes in major cities of New Zealand

27 November 2023
HOW TO APPLY

Location: BT 301

Supervisors:

Primary Supervisor:听Lindsey Conrow
颁辞-厂耻辫别谤惫颈蝉辞谤:听Simon Kingham
Additional Supervisor:听Matt Hobbs

Research Interests
  • Spatial Planning
  • Sustainable Transport
  • Transport Equity and Accessibility听
  • Human Geography
  • Urban Planning

Working thesis title

Measuring temporal-spatial inequalities in accessing bus and cycle routes in major cities of New Zealand

Personal Interests
  • Travelling
  • Reading
  • Scholarly writing

Academic History
  • Master in Transportation Planning, Beihang University, Beijing, China, 2018-2020
  • Summer School on Transportation, Aalto University, Finland, 2020
  • Bachelor in City and Regional Planning, University of Engineering and Technology, Lahore, Pakistan, 2013-2017
  • Associate Bachelor Degree in Computer Sciences, Virtual University of Pakistan, 2015-2017

Professional History
  • Lecturer, Department of City and Regional Planning, University of Management and Technology, Lahore, Pakistan, 2020-2022; Profile:听
  • Product Engineer, SuperMap GIS Co., Ltd., Beijing, China, 2019-2020
  • Urban Planner, Tech-Zone Consultants, Lahore, 2018

Publications
  • Ahsan, M., Shakeel, N., & Baig, F. (2022). 鈥淧ublic perceptions of barriers to walk in urban areas: walkability insights from Lahore, Pakistan鈥, Journal of Land Use, Mobility and Environment (Under Review)听
  • Tariq, F., & Shakeel, N. (2021). 鈥淢odeling and predicting commuters鈥 travel mode choice in Lahore, Pakistan鈥. Global Social Sciences Review 6(3), 106-118.听听
  • Shakeel, N., & Jahanzaib, M. (2019). 鈥淚nfluence of land use, socio-demographic and travel attributes on travel behavior in the city of Lahore.鈥 Architecture and Urban Planning, 16(1), 67-74.
  • Shakeel, N., Baig, F., & Saddiq, M. A. (2019). Modeling commuter鈥檚 sociodemographic characteristics to predict public transport usage frequency by applying supervised machine learning method. Transport Technic and Technology, 15(2), 1-7.
  • Shakeel, N., & Liu, T. L. (2019). 鈥淗ighlighting the potentials of transit-oriented development: a case study of orange line metro train, Lahore.鈥 In the Proceedings of the 2019 World Transport Convention Beijing, China, June 13-16, 2019

Presentations
  • Participation (online): 鈥淚nternational Workshop on GIS Technology and Application鈥, SuperMap GIS Co. Ltd., 2021
  • Presentation: 鈥淯rban informatics: designing of a city that talks back to you鈥, World Urbanism Day organized by Iqbal Institute of Policy Studies, Lahore, Pakistan, 2020
  • Presentation: Green and Intelligent Mobility for Future Transport, Chang鈥檃n University, Xi鈥檃n, China, 2019
  • Presentation: 鈥淧redictive modelling of travel mode choice behaviour applying machine learning technique: a random forest approach鈥, in the 11th international workshop on computational transportation science (CTS), Tianjin University, China, (Best Paper Award), 2019
  • Presentation: 鈥淗ighlighting the potentials of transit-oriented development: a case study of Orange Line Metro in Lahore, Pakistan鈥, in the World Transport Convention (WTC), Beijing, China (Best Speaker Award), 2019
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