Abstract
City logistics, which started to examine as a subdivision of logistics, aims the planning and management of transportation, efficiency, protection of the environment, reduction of traffic, security, and energy-saving. Rapidly growing population and migration from rural to urban areas have an important place in many of the problems of cities. A smart city is an approach that has a significant potential to solve urban logistics problems with information technologies. Smart city logistics such as full adaptive traffic management system, security, and emergency systems, electronic detection system, etc. present based on information technologies to meet the increasing demand for logistics services more efficiently, safely and environmentally. In this study, the evaluation of smart city logistics solutions that contain many components is considered as a multi-criteria decision-making (MCDM) problem. Given the complex nature of this problem and insufficient knowledge, the decision-making approach is supported by fuzzy logic. In this context, the smart city logistics solutions in Istanbul determined by literature review and expert opinions are modeled, analyzed, and the results are interpreted by using the House of Quality matrix of Quality Function Deployment (QFD) approach with fuzzy MCDM methods.
Highlights
The majority of the population in the world and majority of Turkey lives in cities
The smart city logistics solutions in Istanbul determined by literature review and expert opinions are modeled, analyzed, and the results are interpreted by using the House of Quality matrix of Quality Function Deployment (QFD) approach with fuzzy multi-criteria decision-making (MCDM) methods
This study aims to evaluate smart city logistics solutions with analytical methods
Summary
The majority of the population in the world and majority of Turkey lives in cities. The evaluation of smart city logistics solutions that contain many components, is approached as a multi-criteria decision making (MCDM) problem. This study aims to evaluate smart city logistics solutions with analytical methods. In this context, the smart city logistics solutions, which include customer and technological requirements in Istanbul determined by literature review and expert opinions, are modeled. The smart city logistics solutions, which include customer and technological requirements in Istanbul determined by literature review and expert opinions, are modeled This model is evaluated by using the House of Quality matrix of Quality Function Deployment (QFD) approach with fuzzy MCDM methods. The fourth section presents the application, and conclusions have provided
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