Academic profile

 

Aviral Marwal is a PhD scholar at the department of Land Economy. His PhD thesis research deals with modelling the dynamics of urban form, land use and accessibility using different geosimulation modelling tools and techniques such as GIS, Agent-Based Models, and Neural Network Modeling.

His research interest lies in understanding urban development in developing countries and how cities can be made sustainable and accessible for different socio-economic groups.

He holds a masters degree in Development Policy Planning and Practice from the Tata Institute of Social Sciences, Mumbai, and a bachelors degree in Engineering Physics from the Indian Institute of Technology Delhi.

He has worked as a Research Assistant at the Indian Institute of Management Bangalore.

 

 

 

 

 

Teaching

 

Course Instructor - Introduction to Financial Economics at King’s Saud University, Riyadh in a summer school organised jointly by the Govt. of Saudi Arabia and Oxmedica Pvt. Ltd (August 2022).

 

Course Facilitator, East-West Education Group, U.K Delivered modules on essay writing to UG Chinese students (online, Part-time, October 2020-July 2022)
 

MPhil Big Class Supervision, MM3 Business Economics, Judge Business School, University of Cambridge (LT-2023)

 

Undergraduate Example Classes, 3E1 Business Economics, Department of Engineering, University of Cambridge (MT-2022)
 

Undergraduate Small Group Supervision, MS 3 Economies of Firms and Markets, Judge Business School, University of Cambridge (MT-2022)
 

MPhil Small Group Supervision, EP02 Environment Economics and Policy, Department of Land Economics, University of Cambridge (2021)
 

Undergraduate Small Group Supervision, Paper 5 Environment Economics and Law, Department of Land Economics, University of Cambridge (MT-2021)
 

Undergraduate Small Group Supervision, MS 2 Quantitative Methods, Judge Business School, University of Cambridge (MT-2021)

 


 

Research interests

 

Land use simulation integrating Neural Network and Agent Based Models;
Analysing urban forms using ML based classification algorithms;

Modeling the dynamics of residential location choice based on rent and commuting prices using agent based model in Netlogo;
Spatial data modelling to study variation in accessibility with urban form using ArcGIS and QGIS; Analysing built environment and travel behavior using statistical modelling techniques like structural equation modelling and discrete choice modelling. 


 

Publications

 

Publications:
1. Marwal, A., & Silva, E. (2022). Literature review of accessibility measures and models used in land use and transportation planning in last 5 years. Journal of Geographical Sciences, 32(3), 560-584.

2. (Under revision) Marwal, A., & Silva, E. (2023). City affordability and residential location choice: a demonstration using an agent-based model. Habitat International


Manuscripts under consideration:

1. Marwal, A., & Silva, E. (2023). Exploring inequity in accessibility to services with neighbourhood built-up type and household income: A case for accessibility justice in Delhi. Environment and Planning B: Urban Analytics and City Science.
2. Marwal, A., & Silva, E. (2023). Exploring Residential Built-Up Form Typologies in Delhi: A Grid-Based K-means Clustering Approach mapping Sustainable Urbanization. Urban Sustainability.


Working Papers:
1. Marwal, aviral and Silva, Elisabete, Examining the Impact of Location Characteristics on Job Accessibility for Households in Delhi Using Structural Equation Modeling. Available at SSRN: doi.org/10.2139/ssrn.4250758
2. Modelling and Simulating the Built-up expansion in West Delhi through an integrated Machine Learning and ABM-based approach.

3. Marwal, A., Silva, and E.A. (2021). Literature Review of Accessibility Measures and Models used in Land Use and Transportation Planning in last 5 years. Journal of Geographical Sciences. (Under revision)

 

Case Study

1. Marwal, A., Naik, G., and Dalhia, M. (2020). The Saboo Foundation Model of Philanthropy: How a Self-Made Man Created Thousands More. IMB 844, Harvard Business School Case Study

 

Conference Presentations

1. Regional Science Association International - BIS (UK), “Exploring Spatial Relationship Between Population Density and Points of Interest in City of Delhi” (2021)

 

 

 

Category/Classification

 

Urban development, Spatial Modeling