Siting Priorities for Congestion-Reducing Projects in Dhaka: A Spatiotemporal Analysis of Traffic Congestion, Travel Times, Air Pollution, and Exposure Vulnerability

doi:10.1080/15568318.2021.1969707

Publication:
Siting Priorities for Congestion-Reducing Projects in Dhaka: A Spatiotemporal Analysis of Traffic Congestion, Travel Times, Air Pollution, and Exposure Vulnerability

dc.contributor.author	Dasgupta, Susmita
dc.contributor.author	Wheeler, David
dc.contributor.author	Khaliquzzaman, M.
dc.contributor.author	Huq, Mainul
dc.date.accessioned	2023-08-06T13:24:46Z
dc.date.available	2023-08-06T13:24:46Z
dc.date.issued	2021-08-30
dc.description.abstract	Traffic congestion increases travel time and is a major source of pollution and health damage in developing-country cities. Data scarcity frequently confines traffic improvement projects to sites where congestion can be easily measured. This article uses spatiotemporal data from new global sources to revisit the siting problem in Dhaka, Bangladesh, where local congestion measures are augmented by estimates of citywide travel time, pollution exposure, and pollution vulnerability. We combine Google Traffic data with an econometric model linking traffic, pollution readings from a local monitoring station, and weather data to estimate the spatial distribution of vehicular pollution. We explore pollution-vulnerability implications by incorporating spatial distributions of poor households, children, and the elderly. Using the Open Source Routing Machine and OpenStreetMaps, we estimate systemwide travel-time gains from reducing congestion at each point in a grid covering the Dhaka metro area. We find a large divergence of siting priorities in single-dimensional exercises that focus exclusively on local congestion, citywide travel time, vehicular pollution, or vulnerable-resident pollution exposure. By implication, optimal siting requires a social objective function with explicit weights assigned to each of the four dimensions. The new global information sources permit extending this multidimensional approach to many cities throughout the developing world.	en
dc.identifier.citation	International Journal of Sustainable Transportation
dc.identifier.doi	10.1596/40151
dc.identifier.issn	1556-8318 (print)
dc.identifier.issn	1556-8334 (online)
dc.identifier.uri	https://openknowledge.worldbank.org/handle/10986/40151
dc.language.iso	en_US
dc.publisher	Taylor and Francis
dc.rights	CC BY-NC-ND 3.0 IGO
dc.rights.holder	World Bank
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/igo/
dc.subject	TRAFFIC CONGESTION
dc.subject	AIR POLLUTION
dc.subject	VULNERABLE POPULATION
dc.subject	TRAVEL TIME
dc.subject	BANGLADESH
dc.title	Siting Priorities for Congestion-Reducing Projects in Dhaka	en
dc.title.subtitle	A Spatiotemporal Analysis of Traffic Congestion, Travel Times, Air Pollution, and Exposure Vulnerability	en
dc.type	Journal Article
dspace.entity.type	Publication
okr.associatedcontent	https://www.tandfonline.com/doi/abs/10.1080/15568318.2021.1969707 Journal website (version of record)
okr.crossref.title	Siting Priorities for Congestion-Reducing Projects in Dhaka: A Spatiotemporal Analysis of Traffic Congestion, Travel Times, Air Pollution, and Exposure Vulnerability
okr.date.disclosure	2023-08-06
okr.doctype	Publications & Research::Journal Article
okr.externalcontent	External Content
okr.guid	099623410132316230
okr.guid	099623410132316230
okr.identifier.doi	10.1080/15568318.2021.1969707
okr.identifier.doi	http://dx.doi.org/10.1596/40151
okr.identifier.report	185238
okr.identifier.report	185238
okr.language.supported	en
okr.pagenumber	1078-1096
okr.peerreview	Academic Peer Review
okr.region.administrative	South Asia
okr.region.country	Bangladesh
okr.topic	Environment::Pollution Management & Control
okr.topic	Environment::Air Quality & Clean Air
okr.topic	Urban Development::Transport in Urban Areas
okr.volume	16 (12)