Mrs Maryam Bostanara

Mrs Maryam Bostanara

Research Associate
  • Feb. 2020 – Jun. 2024: Ph.D. in the school of Civil and Environmental Engineering at the University of New South Wales (UNSW), Sydney, Australia.
    • Supervisor: Professor Taha Hossein Rashidi
    • Thesis Topic: “Urban Dynamics and Household Decisions: Advanced Statistical Methods in Relocation, Land Use, and Transport Planning”
  • Sept. 2016 – Nov. 2018: M.Sc. in Industrial Engineering–Systems Optimization at Sharif University of Technology, Tehran, Iran.
  • Sept. 2012 – Sept. 2016: B.Sc. in Industrial Engineering at Sharif University of Technology, Tehran, Iran.
Arts, Design & Architecture (ADA)
City Futures Research Centre

I am a Research Associate at the City Futures Research Centre (CFRC), School of Built Environment, UNSW Sydney. I completed my PhD in transport and land-use at the Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, UNSW Sydney, in 2024. I earned both a BSc and an MSc in Industrial Engineering (Systems Optimization) from Sharif University of Technology, Iran, in 2016 and 2018, respectively. My research explores the nexus of transport and land-use, focusing on developing behavioral models to understand and promote urban sustainability. Driven by a passion for the transformative power of data analysis, data science, and statistics, my work integrates the art of data visualization to effectively communicate complex insights.

Location
Room 111, Level 1, Civil and Environmental Engineering Building (H20).
  • Journal articles | 2024
    Bostanara M; Siripanich A; Ghasri M; Rashidi TH, 2024, 'Sydney’s residential relocation landscape: Machine learning and feature selection methods unpack the whys and whens', Journal of Transport and Land Use, 17, pp. 369 - 399, http://dx.doi.org/10.5198/jtlu.2024.2440
    Journal articles | 2023
    Bostanara M; Hossein Rashidi T; Khan NA; Auld J; Ghasri M; Grazian C, 2023, 'The co-determination of home and workplace relocation durations using survival copula analysis', Computers, Environment and Urban Systems, 99, http://dx.doi.org/10.1016/j.compenvurbsys.2022.101898
    Journal articles | 2023
    Bostanara M; Siripanich A; Rashidi T, 2023, 'A Realistic Framework for Modeling Residential Relocation Behavior Considering Past, Present, and Future Using DDCM: A Sydney Case Study', SSRN Electronic Journal, http://dx.doi.org/10.2139/ssrn.4582667
    Journal articles | 2022
    Bostanara M; Siripanich A; Ghasri M; Rashidi T, 2022, 'Sydney's Residential Relocation Landscape: Machine Learning and Feature Selection Methods Unpack the Whys and Whens', SSRN Electronic Journal, http://dx.doi.org/10.2139/ssrn.4221706
    Journal articles | 2021
    Bostanara M; Rashidi TH; Auld J; Ghasri M, 2021, 'A comparison between residential relocation timing of Sydney and Chicago residents: A Bayesian survival analysis', Computers, Environment and Urban Systems, 89, http://dx.doi.org/10.1016/j.compenvurbsys.2021.101659
    Journal articles | 2021
    Najmi A; Bostanara M; Gu Z; Rashidi TH, 2021, 'On-street parking management and pricing policies: An evaluation from a system enhancement perspective', Transportation Research Part A: Policy and Practice, 146, pp. 128 - 151, http://dx.doi.org/10.1016/j.tra.2021.02.009
  • Conference Posters | 2023
    Bostanara M; Hossein Rashidi T; khan NA; Auld J; Ghasri M; Grazian C, 2023, 'Interdependencies of Home and Work Relocation Durations', Washington, D.C., presented at 2023 TRB Annual Meeting - Transportation Research Board, Washington, D.C., 08 January 2023 - 12 January 2023
    Conference Presentations | 2023
    Bostanara M; Hossein Rashidi T, 2023, 'Bridging Decisions and Destinations: Advanced Computational Models for Household Decision-Making in Land Use and Transportation', presented at 2023 TRANSW SYMPOSIUM, Sydney, Australia, 23 November 2023
    Conference Presentations | 2023
    Bostanara M; Siripanich A; Ghasri M; Hossein Rashidi T, 2023, 'Machine Learning vs Conventional Specifications for Housing Relocation Decisions', presented at World Conference on Transport Research Society 2023 (WCTR 2023), Montreal, Canada, 19 July 2023
    Conference Posters | 2023
    Bostanara M; Siripanich A; Hossein Rashidi T, 2023, 'A Realistic Framework for Modelling Residential Relocation Behaviour Considering Past, Present, and Future Using DDCM: A Sydney Case Study', presented at 2023 HILDA Survey Research Conference, 26 September 2023
    Conference Presentations | 2023
    Bostanara M; Siripanich A; Hossein Rashidi T, 2023, 'A Realistic Framework for Modelling Residential Relocation Behaviour Considering Past, Present, and Future Using DDCM: A Sydney Case Study', presented at Bridging Transportation Researchers (BTR 5 - 2023) Conference, 01 August 2023
    Conference Presentations | 2023
    Bostanara M; Siripanich A; Hossein Rashidi T, 2023, 'Towards a more realistic model of residential relocation: DDCM's dynamic, future-oriented approach', presented at Australasian Transport Research Forum (ATRF 2023), Perth, Western Australia, Perth, Western Australia, 29 November 2023 - 01 December 2023
    Conference Papers | 2023
    Bostanara M; Siripanich A; Hossein Rashidi T, 2023, 'Towards a more realistic model of residential relocation: DDCM's dynamic, future-oriented approach', Perth, Western Australia, presented at Australasian Transport Research Forum (ATRF 2023), Perth, Western Australia, 29 November 2023 - 01 December 2023, chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://australasiantransportresearchforum.org.au/wp-content/uploads/2022/05/ATRF_2023_Paper_108.pdf
    Conference Presentations | 2022
    Bostanara M; Siripanich A; Ghasri M; Hossein Rashidi T, 2022, 'Machine Learning vs Conventional Specifications for Housing Relocation Decisions', presented at 2022 TRANSW SYMPOSIUM, 23 November 2022 - 23 November 2022
    Conference Presentations | 2021
    Bostanara M; Hossein Rashidi T; Khan NA; Auld J; Ghasri M; Grazian C, 2021, 'Interdependencies of Residential and Workplace Relocation Timing Decisions using a Copula-based Bayesian Survival Approach: Findings from Australia and US', presented at 2021 TRANSW SYMPOSIUM, 30 November 2021

  • Digital Grid Futures Institute Seed Funding (DGFI) -- 2024

  • Recipient of UNSW Women in Engineering Research Top-Up Scholarship for the duration of PhD.
  • Best research demonstration award in the fourth Annual Symposium of the Transport Research Association for NSW (TRANSW 2021)