| dc.description.abstract | The primary emphasis in urban areas is on the eco-friendly transportation system due
to the environmental challenges and the sustainable development initiatives. The focal
point of the thesis lies in the investigation and development of the problem of electric
vehicle route planning in the context of last-mile logistics, specifically applied to case
studies in urban businesses. The primary objective of this research is to assess the economic
and environmental implications of employing electric vehicles, thereby aiding transport
enterprise management in formulating a strategy to upgrade their electric vehicle fleet. The
research problem concerning transportation encompasses various iterations of the electric
vehicle route planning problem. Specifically, the transportation coordination problem takes
into account the service time factor, whereby the vehicle fleet consists of a fixed number
of vehicles that combine both gasoline and electric vehicles. The problem is formulated as
a mixed-integer linear model. To address this issue, the thesis employs Colaboratory,
utilizing the Python programming language and the Cplex library. Furthermore, the study
also outlines the methods for collecting and calculating parameters pertaining to the vehicle
fleet, as well as estimating costs and emissions. The findings obtained from the application
of the case study demonstrate that businesses can effectively reduce CO2 emissions by
more than threefold. Moreover, in terms of long-term advantages, electric vehicles offer
operating costs that are five times more economical compared to gasoline vehicles, owing
to the reduction in fuel expenses. Consequently, electric vehicles possess substantial
potential for generating numerous benefits in the future and are, therefore, worthy of
consideration for businesses. | en_US |
