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A Decision-Making Model on the Impact of Vehicle Use on Urban Safety
by
Kulińska, Ewa
, Dendera-Gruszka, Małgorzata
, Masłowski, Dariusz
in
Cities
/ Decision making
/ Environmental impact
/ Logistics
/ Public transportation
/ Sustainability
/ Sustainable development
/ Traffic congestion
/ Vehicles
2021
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A Decision-Making Model on the Impact of Vehicle Use on Urban Safety
by
Kulińska, Ewa
, Dendera-Gruszka, Małgorzata
, Masłowski, Dariusz
in
Cities
/ Decision making
/ Environmental impact
/ Logistics
/ Public transportation
/ Sustainability
/ Sustainable development
/ Traffic congestion
/ Vehicles
2021
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Do you wish to request the book?
A Decision-Making Model on the Impact of Vehicle Use on Urban Safety
by
Kulińska, Ewa
, Dendera-Gruszka, Małgorzata
, Masłowski, Dariusz
in
Cities
/ Decision making
/ Environmental impact
/ Logistics
/ Public transportation
/ Sustainability
/ Sustainable development
/ Traffic congestion
/ Vehicles
2021
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A Decision-Making Model on the Impact of Vehicle Use on Urban Safety
Journal Article
A Decision-Making Model on the Impact of Vehicle Use on Urban Safety
2021
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Overview
In the current era of urban development, people are already using electric vehicles more and more often for transport purposes, which reduces negative impacts on the environment. However, there are still vehicles in towns and cities that run on ordinary internal combustion engines. Performing optimization measures on the operation of these vehicles improves their performance, which can result in positive sustainable development effects. This article presents measures to reduce the wear and tear of urban vehicles and outlines a decision model to determine which of the vehicle parts described suffer the most frequent wear and tear under urban conditions. The article presents a list of structural elements that are most affected by urban traffic, as well as corrective actions to improve such specialized vehicles. Based on the decision analysis, Rule 1 was eliminated as having the least significant impact on vehicle wear and tear, and the least significant impact on urban safety. On the other hand, the most worn-out elements were found to be gearboxes, clutches, bus levelling electronics, and brake pads and discs. The decision-making model made it possible to identify the factors which have the greatest impact on reducing safety in urban spaces.
Publisher
MDPI AG
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