Economic and Public Health Impacts of Transportation-Driven Air Pollution in South Asia
Abstract
:1. Introduction
1.1. Air Quality, Pollution, and Sustainability in South Asia
1.2. Research Questions and Objectives
2. Materials and Methods
3. Review Results and Discussion
3.1. Transportation Emissions, Air Quality, and Public Health Implications in Major South Asian Cities
3.1.1. Sri Lanka
3.1.2. India
3.1.3. Pakistan
3.1.4. Bangladesh
3.1.5. Nepal
3.2. Public Health and Economic Impacts
3.3. Additional Insights from Studies Across South Asia
4. Thematic Insights: Achieving Sustainable Urban Transportation
5. Conclusions, Recommendations, and Limitations
Funding
Conflicts of Interest
References
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Country/Study Area/City # of Studies | Study Type | Discussed Issues | Economic Impacts | Health Impacts |
---|---|---|---|---|
Sri Lanka | ||||
Colombo (4) | Cross section studies in the Colombo city area to measure respiratory health status | * Respiratory diseases * Risk of cancer due to diesel smoke | * Economic losses from reduced productivity and absenteeism linked to pollution-related health issues. | * Significant increase in respiratory illnesses among urban children. * Urban settings had a significantly higher prevalence of wheezing in the last 12 months compared to semi-urban children. * Potential non-carcinogenic and carcinogenic health risks, particularly from lead and cadmium. * Prolonged exposure could lead to respiratory issues and cardiovascular diseases. |
Kandy (1) | A quantitative research method to evaluate the health risks associated with heavy metals in atmospheric deposition in Kandy City. | |||
Colombo and Kandy (2) | A comparative analysis method to assess the impact of the COVID-19 lockdown on air quality in urban cities. | |||
Colomb, Gampaha and Kalutara (1) | Air pollution levels measuring in major urban cities and descriptive method | |||
India | ||||
Bangalore (2) | * Mixed-methods approach to analyze and compare commuting-related CO2 emissions in Xi’an, China, and Bangalore, India. * Observational study using quantitative methods; air quality data analysis and health risk assessment with AirQ+ model. | * Positive correlation between NO2 concentration and deaths * PM2.5 impacts respiratory health (coughing, teary eyes, headaches) * Long-term PM2.5 exposure linked to health issues * Environmental and economic impact of transitioning Delhi’s bus fleet from diesel to CNG to reduce emissions * Evaluation of GHG emissions and CDM technologies in Chandigarh’s urban transport * Variability of SO2, CO, and hydrocarbons in Kolkata linked to emissions and transport * Impact of electric auto-rickshaws on emissions in India’s transport sector * Potential link between vehicular NO2 emissions and increased COVID-19 fatality rates in India * Impact of emissions from anthropogenic sectors on PM2.5 and health effects in South and East Asia | * Estimated annual cost savings from morbidities and mortalities: USD 4869.8 million, benefiting Delhi’s finances * Challenges in building non-motorized transport (NMT) facilities (bike lanes, safer roads) * CNG buses more cost-effective in reducing emissions than diesel buses, leading to long-term fuel and maintenance savings * Potential GHG reduction of 520 Gg, resulting in cost savings for climate change mitigation * Projected 6.30% CO emission reduction by 2030 with a 5% shift to electric auto-rickshaws | * Long-term PM2.5 exposure caused deaths from COPD, ischemic heart disease, stroke, and lung cancer * Long-term O3 exposure led to deaths from respiratory diseases * Transition to CNG buses reduces air pollution, potentially decreasing respiratory and cardiovascular health issues * Potential improvement in air quality and reduction in health issues related to air pollution * Potential contribution to respiratory and cardiovascular health issues due to elevated pollutant levels * Potential decrease in air pollution-related health issues due to reduced emissions * Elevated NO2 levels may exacerbate respiratory conditions, potentially increasing COVID-19 severity and fatality rates * Potential reduction in health risks associated with PM2.5 exposure through the elimination of emissions from specific sectors |
Delhi (4) | * Observational studies using quantitative methods; analyzed air quality data to assess the impact of the odd-even driving scheme on PM2.5 and PM1.0; emissions. * Economic evaluation using cost-effectiveness analysis; assessed emissions and costs of CNG versus diesel buses in Delhi’s public transit system. | |||
Chandigarh (1) | Quantitative study using the VAPI model to assess GHG emissions and the potential for mitigation through CDM technologies in Chandigarh’s urban transport sector. | |||
Kolkata (1) | Observational study measuring SO2, CO, and light hydrocarbons over Kolkata, India, to assess emissions and transport effects. | |||
Surat City (1) | Quantitative research assessing emissions from auto-rickshaws and evaluating a 5% shift to electric models by 2030. | |||
Many cities (all over India) (6) | * Observational study that analyzes the relationship between vehicular NO2 emissions and COVID-19 fatality rates in India. * Utilization of the WRF-Chem regional atmospheric model to assess the air quality and human health benefits of eliminating emissions from various anthropogenic sectors in South and East Asia * Development of a vehicle stock database for India from 1993 to 2018, utilizing survival functions to analyze on-road exhaust emissions | |||
Pakistan | ||||
Overall (Many cities) (8) | * Application of the autoregressive distributed lag (ARDL) and vector error correction model (VECM) to analyze the relationship between transport energy consumption, economic growth, and CO2 emissions in Pakistan from 1990 to 2015 * Conducted a user survey to assess the adoption potential of hybrid and electric three-wheelers in Pakistan, analyzing responses from three-wheeler drivers across the country * Econometric analysis using error correction model, regression, and co-integration tests to assess the impact of economic growth, urbanization, and energy consumption on environmental degradation in Pakistan * Management of green transportation: an evidence-based approach | * Impact of transport energy consumption on CO2 emissions in Pakistan * Explored feasibility and user acceptance of transitioning to hybrid and electric three-wheelers in Pakistan’s transportation sector * Influence of economic growth, urbanization, and energy consumption on transport-related environmental degradation in Pakistan * Environmental effects of air and railway transportation in Pakistan, including carbon emissions and resource depletion * Contributions of transport and industrial emissions to elevated air pollution in Lahore, including sulfur dioxide, lead, and particulate matter * Assessment of toxic elements and particulate pollution in Lahore’s urban road dust * Health risks from heavy metals in PM2.5 road dust in two Pakistani cities * Exhaled carbon monoxide levels in urban and suburban populations * Air pollution health risks at the Kallar Kahar site in Pakistan * Prevalence of cardiovascular diseases due to industrial air pollution near IEI, Pakistan * Occupational exposure to dust-bound PAHs and carcinogenic risks in Lahore and Rawalpindi | * Economic growth, urbanization, and energy consumption increase transport-related environmental degradation * Road infrastructure boosts economic growth but worsens environmental quality, increasing SO2 emissions * A comprehensive city management plan is needed: alternative roads, traffic management, regulations, and taxes on vehicular/industrial emissions * Potential for a 50% increase in monthly earnings for three-wheeler owners through reduced fuel and maintenance costs * Health effects of smog in Gujranwala, Pakistan, identified through geo-visualization * Public awareness and willingness to pay for reducing atmospheric pollution in Pakistan | * PM10 bypasses respiratory defenses, contributing to allergic disorders * Exacerbation of asthma, allergies, and other respiratory diseases * PM2.5 linked to lung cancer mortality (ages 25+ and 30+) * PM10 concentration linked to 16.96% of infant post-neonatal mortality * NO2 exposure linked to all-cause mortality * Heavy traffic and poorly maintained vehicles increase hazardous metal concentrations in road dust * Non-cancerous health risks from Cu, Ni, and Zn exposure in Karachi, Shikarpur * Cancer risk from Pb, Cd, and Ni exceeds tolerable limits in children and adults in various cities * Excess CO emissions from Lahore’s mass transit system * Significant improvement in air quality during COVID-19 lockdown (PM2.5 drop: Karachi 62%, Lahore 62%, Peshawar 57%, Islamabad 55%) * Reduction in greenhouse gas emissions (3–6 tonnes CO2 per year per three-wheeler) leading to improved air quality and public health * Health impacts from carbon monoxide exposure among commuters and roadside vendors * Potential health benefits from reducing atmospheric pollution through public support * Smog-induced health effects in Gujranwala community * Elevated sulfur dioxide, lead, and particulate matter levels pose significant health risks in Lahore * Potential health risks from exposure to air pollution and toxic elements in road dust. |
Karachi, Lahore, Islamabad, and Peshawar (1) | Impact of transport and industrial emissions on the ambient air quality of Lahore City, Pakistan | |||
Gujranwala (1) | Geo-visualization of smog-induced health effects hotspots in Gujranwala, Pakistan, from a community perspective. | |||
Lahore (2) | Analysis of transport and industrial emissions to assess their impact on the ambient air quality in Lahore City, Pakistan. | |||
Haripur city (1) | Assessment of particulate matter (PM) in ambient air across different settings and its associated health risks in Haripur city, Pakistan. | |||
Karachi (1) | Comparison of exhaled carbon monoxide levels among commuters and roadside vendors in urban and suburban populations in Pakistan. | |||
Faisalabad (2) | Analysis of urban road dust samples from Lahore, Pakistan, to assess concentrations of potentially toxic elements and particulate pollution | |||
Karachi and Shikarpur (1) | Health risk assessment of heavy metals accumulated on PM2.5 fractioned road dust from two cities in Pakistan. | |||
Khyber Pakhtunkhwa Province (1) | Survey-based study assessing public awareness and willingness to pay for eliminating atmospheric pollution in Pakistan. | |||
Kallar Kahar (Chakwal) (1) | Modeling of air pollution health risks for environmental management at an internationally important site (Kallar Kahar) in Pakistan. | |||
Islamabad (1) | Assessment of cardiovascular disease (CAD) prevalence due to industrial air pollutants near Islamabad Industrial Estate (IEI), Pakistan. | |||
Quetta (1) | Air pollution assessment in urban areas of Quetta, Pakistan, and analysis of its impact on human health. | |||
Lahore and Rawalpindi cities (1) | Source profiling and carcinogenic risk assessment for cohorts occupationally exposed to dust-bound polycyclic aromatic hydrocarbons (PAHs) in Lahore and Rawalpindi cities, Punjab, | |||
Bangladesh | ||||
Dhaka City (3) | Modeling the impact of motorized vehicles’ activities on emissions and economic losses in Dhaka, Bangladesh. Analysis of spatial gradients and time trends in air pollution in Dhaka, Bangladesh, and their implications on human health. Estimation of air pollutants from different sectors in Dhaka City using emission inventory analysis. | * Impact of motorized vehicles on emissions and economic losses in Dhaka * Spatial gradients and time trends in air pollution and their health implications in Dhaka * Air pollutant estimation from various sectors in Dhaka City * Energy-related CO2 emissions in the transport sector of Bangladesh. | * The uncontrolled rise in personal vehicles led to significant emission spikes and economic losses. | * Dhaka, Bangladesh’s capital, has become one of the world’s most polluted cities, with air pollution posing a major public health concern. |
Overall (1) | Decomposition analysis of energy-related CO2 emissions from Bangladesh’s transport sector development. | |||
Nepal | ||||
Kathmandu Valley (1) | Analysis of air quality changes in the Kathmandu Valley during COVID-19 lockdown, using mobility data and air pollution levels. | The impact of the COVID-19 lockdown and associated mobility changes on air quality. * Emission load from road transportation and its environmental impact in Bhaktapur Municipality. | * Rising motorized travel in Kathmandu Valley increases fuel imports, straining Nepal’s economy * Vehicular emissions in Bhaktapur contribute to pollution-related diseases, increasing healthcare costs. | * Potential reduction in air pollution-related health risks due to decreased emissions during lockdown* Vehicular emissions significantly deteriorate air quality in many urban parts of Nepal * Diesel fuel plays a crucial role in emitting greenhouse gases, deteriorating air quality and health. |
Bhaktapur (1) | Estimation of emission load from road transportation in Bhaktapur Municipality using traffic and emission data. |
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Herath Bandara, S.J.; Thilakarathne, N. Economic and Public Health Impacts of Transportation-Driven Air Pollution in South Asia. Sustainability 2025, 17, 2306. https://doi.org/10.3390/su17052306
Herath Bandara SJ, Thilakarathne N. Economic and Public Health Impacts of Transportation-Driven Air Pollution in South Asia. Sustainability. 2025; 17(5):2306. https://doi.org/10.3390/su17052306
Chicago/Turabian StyleHerath Bandara, Saman Janaranjana, and Nisanshani Thilakarathne. 2025. "Economic and Public Health Impacts of Transportation-Driven Air Pollution in South Asia" Sustainability 17, no. 5: 2306. https://doi.org/10.3390/su17052306
APA StyleHerath Bandara, S. J., & Thilakarathne, N. (2025). Economic and Public Health Impacts of Transportation-Driven Air Pollution in South Asia. Sustainability, 17(5), 2306. https://doi.org/10.3390/su17052306