In Which Countries Snow Removal Is Worst: Systemic Causes and Consequences

The problem of inefficient snow removal, contrary to popular belief, is not limited to warm countries unexpectedly hit by snowstorms. It is often a systemic issue in states with regular and abundant snowfall, where there is a lack of proper infrastructure, funding, logistics, or political will. The worst situations occur in countries where several factors are combined: climate instability, economic difficulties, geographical complexity, and weak institutions.

1. Countries with a warm climate not prepared for snow

For these territories, snow is a rare anomaly, making the maintenance of expensive infrastructure meaningless.

Georgia, Armenia, Greece (southern regions), Turkey (Istanbul):

Problem: Lack of special equipment, reagents, and legally approved action protocols. During the 2022 snowstorm, the cities of Tbilisi and Istanbul were completely paralyzed for several days. Snow was removed manually, with municipal services and the army using ordinary front-end loaders and dump trucks not suited for snow removal.

Example: In Istanbul in 2022, the snowstorm led to thousands of vehicles being blocked, flights being canceled, and coast guard boats being used to evacuate people stuck in traffic jams. The lack of studded tires among the population exacerbated the chaos.

2. Countries with complex terrain and historical construction

Even with resources, physical geography and planning make snow removal extremely difficult.

Afghanistan, Pakistan (mountainous regions), some countries of the Caucasus:

Problem: Mountainous serpentine roads and narrow streets in historical settlements are inaccessible to standard snow removal equipment. Snow removal is often manual or not at all, leading to prolonged isolation of entire districts. These regions regularly suffer from avalanches blocking key transportation arteries for weeks.

Interesting fact: In remote areas of Afghanistan, national army units with engineering equipment are still sometimes used to clear roads after snowstorms and avalanches, but the process is extremely slow.

3. Countries with chronic economic and infrastructure problems

Even in a cold climate, snow removal can be disastrously poor due to systemic crisis.

Ukraine (especially during periods of economic and political crises):

Problem: Critical wear and tear of municipal equipment (up to 80% of the fleet in some cities), chronic underfunding, decentralization without adequate resource provision, corruption in the procurement of reagents and spare parts.

Example: In 2020-2021, in Kyiv, after heavy snowstorms, kilometers-long traffic jams formed as the main load fell on a few functioning vehicles. Reagents were often purchased inefficiently or in insufficient quantities.

Moldova, Kyrgyzstan, Tajikistan:

Problem: City budgets do not provide for the purchase of modern equipment. Snow removal is often fragmented, snow is shoveled into piles on sidewalks and shoulders, where it melts for weeks, turning into mud and ice.

4. Large cities in developing countries with a high population density

The problem is exacerbated by demographic pressure and weak urban planning.

India (Northern states: Jammu and Kashmir, Himachal Pradesh), Nepal (Kathmandu):

Problem: Narrow, chaotically constructed streets, lack of stormwater drainage, mixing of traffic flows (cars, rickshaws, pedestrians, animals). Even with some equipment, it is physically impossible to clear all streets promptly. Snow mixed with garbage and dirt lies for weeks.

Example: In January 2023, in Kathmandu, the Tribhuvan airport was paralyzed for several days due to a snowstorm and freezing rain, and traffic in the city came to a standstill. The cleanup was mainly carried out by local residents and soldiers using shovels.

5. Individual cities in the United States with poor municipal organization

Paradoxically, but even in one of the most developed countries in the world, there are "weak links".

USA: cities not prepared for anomalous snowstorms (Atlanta, Seattle, Portland):

Problem: In regions where snow falls rarely, it is economically unfeasible to maintain a large fleet of equipment. During an anomalous snowstorm, the city is paralyzed within hours. Cultural factor: most residents do not have winter tires or chains, and driving in a snowstorm is not a common skill.

Notable example: "Snowstorm 2014 in Atlanta". About 5 cm of snow fell, leading to apocalyptic consequences: more than 10,000 traffic jams formed on the roads, people were stranded in cars for 12-24 hours, children had to be left overnight in schools. The main reason was the lack of preemptive measures (salting roads before the snowstorm) and synchronization of actions by authorities, schools, and enterprises that closed simultaneously, creating a traffic jam collapse.

General systemic causes of poor snow removal:

Reactive, not proactive approach: Services start acting after the snowstorm ends, not during it.

Lack of a single coordination center: Fragmented actions of road, municipal services, and emergency teams.

Corruption and inefficient spending of funds: Procurement of low-quality reagents, "non-existent" equipment.

Lack of environmental and infrastructure planning: There are no equipped snow dump sites or snow melting points, leading to snow dumps with reagents and dirt right in the city limits, poisoning the soil and water.

Ignoring the "last mile": Main highways may be cleared, but yards, sidewalks, and public transport stops remain impassable.

Conclusion

The worst snow removal is not where there is a lot of snow, but where there is no system. This is a sign not only of climatic conditions but also of the depth of systemic problems in management, economy, and urban planning. The consequences go far beyond domestic inconvenience: they are multimillion-dollar economic losses due to paralyzed traffic, increased trauma, environmental damage, and ultimately, the undermining of public trust in the ability of authorities to ensure basic safety and city operation. A paralysis from a snowstorm is a clear diagnostic sign of institutional weakness in a state or municipality.
© libmonster.com

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