Investigating Variability of Roadside Air Pollution and Its Association with Traffic Volume in Urban Areas, Bangladesh
Pollution
Moments, lessons and turning points in order. Every entry here is also one cell in Life in Pixels.
Pollution
Bangladesh MICS Child & Maternal Health Atlas
21,564 km of national, regional and zila roads from the Roads and Highways Department, mapped by class and measured against the 2,234 hospitals mapped in OpenStreetMap (Day 1). Most mapped hospitals sit right on the highway network, but 54 upazilas, home to 11.2 million people, have both few RHD roads and no mapped hospital.
The same 165.5 million people, drawn with 8, 64, 600, 8,202 and 107,955 polygons. By division, half of Bangladesh lives on 44.9% of the land; village by village it is 13.5%. Behind the count: the 2022 census enumerated 106.8% of the households its quick count had listed, 2,753 villages have nobody living in them, and 12 city corporations hold 12.7% of the people on 0.96% of the land.
8,230 OpenStreetMap health facilities across Bangladesh, coloured by type, with district rates per 100,000 people and the distance from every upazila to its nearest mapped hospital. Half of everything mapped sits in Dhaka division — and 132 of 600 upazilas, home to 28.8 million people, have no mapped hospital inside them.
Three kinds of clusters in the 2022 census, union by union. Crowding: 32.6% of Bangladeshis live in density hot spots on 10.7% of the land. Leaving: emigration clusters home to 18.3% of residents send 50.9% of everyone living abroad — and 62.7% of them are also 'missing men' clusters, at 86.2 men per 100 women. Cities: by the UN rule 46.1% of people live in urban clusters, twice the 23.6% inside official city and mu…
OpenStreetMap contributors, health facilities for Bangladesh (oex export, snapshot 2 Nov 2026), ODbL. BBS Population and Housing Census 2022 GIS layers (villages), last update 21 May 2023. Eye care is what OpenStreetMap shows: hospitals with eye departments that are not tagged are missing, so real distances are shorter in places. Straight-line distance, not travel time. Context: Dineen et al. 2003 (Br J Ophthalmol, …
Old atlases drew Bengal as water. Redrawn with open data: the RHD wide-river outlines cover 8.0% of Bangladesh and 34.7% of Bangladeshis (57.5 million) live within 1 km of one — 58% in Barishal division. The 6,719 chars (silt islands) cover 2,303 km² and 665 thousand people live in villages centred on one. Drawn clean, minimal and colourful — the old atlas, redrawn.
A 10-minute walk is 800 m. Measured from every one of 105,202 populated villages to the 4,187 pharmacies in the national hospital-and-pharmacy registry, only 11.1% of Bangladeshis (18.4 million) live within a 10-minute walk and 21.4% within 10 minutes by bicycle or rickshaw; 84 million are more than 10 km away. 5 districts have no registered pharmacy at all — a gap in the registry as much as in care.
Utopia is a Bangladesh where nobody is more than a 10-minute bicycle ride (2.3 km) from a pharmacy or hospital. Today only 33.4% of Bangladeshis are. Placing new care points one by one where they reach the most still-uncovered people, the first 1,000 lift coverage to 55.1% (36 million more people), 5,825 reach 95%, and 7,828 reach 99%. A planning map, not a prescription — the registry is urban-biased.
Bangladesh counts 23.5% of its people in urban wards, yet 87% of registered pharmacies and 75% of hospitals and clinics sit there. 84.7% of urban people are within a 10-minute bicycle ride (2.3 km) of care; only 17.6% of rural people are — 67 points apart.
71.4% of Bangladeshis live within 2 km of primary care, but only 59.7% are within 5 km of a hospital and 21.4% within a 10-minute ride of a pharmacy; 6.8 million are both far from a hospital and in a flood-prone zone. Explore 24,800+ health facilities and pharmacies from division to union, re-weight the risk index, and find the nearest care from any point.
A single plain-English prompt, a full analysis: how far people in Dhaka and Chattogram live from a hospital, clinic and pharmacy. Dhaka: 77.9% of 10.3 million people live within 800 m (10 min walk) of a hospital. Chattogram: 60.7% of 3.3 million people live within 800 m (10 min walk) of a hospital.
A transparent road-noise model for Dhaka and Chattogram, tested against the WHO 53 dB guideline, with sliders so you can change every assumption — and a button to hear it. Dhaka: 17.7% of 10.3 million people live where modelled road noise is at or above the WHO 53 dB guideline. Chattogram: 21.5% of 3.3 million people live where modelled road noise is at or above the WHO 53 dB guideline.
I read “Power” as industrial power — the garment factories that drive the economy — and measured how far each one is from a hospital, a pharmacy and a fire station. Dhaka: 690 mapped garment factories inside Dhaka. Chattogram: 332 mapped garment factories inside Chattogram.
Environmental Monitoring and Assessment
Wetlands of Tropical and Subtropical Asia and Africa
Lecture Notes in Civil Engineering
Lecture Notes in Civil Engineering vol 623 (Springer)
Parul Prokashani, Kolkata
PLOS Neglected Tropical Diseases
BMC Public Health
Trees, Forests and People
icddr,b
Journal of Science and Technology Research
Asian Institute of Technology (AIT)
Map work for a Microcredit Regulatory Authority (MRA) study.
Maps prepared for DM Watch.
Design work for the Climate Action Resources Network – Asia Pacific.
Draft from Google Drive: add the year, place, pictures and what I did.
Draft from Google Drive: add the year, place, pictures and what I did.
Jahangirnagar University & UIU
Int J Disaster Resilience in the Built Environment
Elsevier (book chapter)
Draft from Google Drive: add the year, place, pictures and what I did.
River-change maps (1972 and 2021, Rajarhat Union) for Jamuna TV, with a TV interview on rivers.
Land-use change maps of Basirhat Municipality (2000, 2010, 2020) for PRISM India.
Brand and publication design for Science Connect Ltd.
Mapathon banners and disaster-risk mapping events with YouthMappers at IRS.
Draft from Google Drive: add the year, place, pictures and what I did.
Draft from Google Drive: add the year, place, pictures and what I did.
Draft from Google Drive: add the year, place, pictures and what I did.
Institute of Remote Sensing & GIS, JU
A collection of thematic maps: Dhaka and Kathmandu city maps, forest, hazard-zone, industry and regional maps.
Maps for a geography book: BIMSTEC countries, climate zones and regions, and the maritime exclusive economic zone.
Maps and designs for the Chougachha community, my home upazila.
Draft from Google Drive: add the year, place, pictures and what I did.
Draft from Google Drive: add the year, place, pictures and what I did.
Science Connect Ltd.
Atlas pages, maps, infographics, posters, brochures and report covers designed for the Institute of Remote Sensing and GIS.
Institute of Remote Sensing & GIS, JU
120+ page thesis on water resources in southwestern Bangladesh.
Two decades of satellite-derived sea surface temperature analysed for spatial and seasonal pattern.
Manabik Shahajya Sangstha · Save the Children
Institute of Remote Sensing & GIS, JU & UNDP
Post-event assessment of the 2017 landslide episode in the southeastern hill districts.
Institute of Remote Sensing & GIS, JU