English

Studying oppressive cityscapes of Bangladesh

Computers and Society 2018-12-27 v1 Machine Learning

Abstract

In a densely populated city like Dhaka (Bangladesh), a growing number of high-rise buildings is an inevitable reality. However, they pose mental health risks for citizens in terms of detachment from natural light, sky view, greenery, and environmental landscapes. The housing economy and rent structure in different areas may or may not take account of such environmental factors. In this paper, we build a computer vision based pipeline to study factors like sky visibility, greenery in the sidewalks, and dominant colors present in streets from a pedestrian's perspective. We show that people in lower economy classes may suffer from lower sky visibility, whereas people in higher economy classes may suffer from lack of greenery in their environment, both of which could be possibly addressed by implementing rent restructuring schemes.

Keywords

Cite

@article{arxiv.1812.10413,
  title  = {Studying oppressive cityscapes of Bangladesh},
  author = {Halima Akhter and Nazmus Saquib and Deeni Fatiha},
  journal= {arXiv preprint arXiv:1812.10413},
  year   = {2018}
}

Comments

Presented at NeurIPS 2018 Workshop on Machine Learning for the Developing World