Gis and fuzzy ahp based area selection for electric vehicle charging stations

Abstract

Abstract. Significant work is being done to protect the world and ecosystem. Innovative approaches are being explored to reduce the harm of the methods used to sustain life. La mobilité est une question essentielle qui affecte les personnes et la société dans la vie d'aujourd' hui. Les automobiles sont le véhicule le plus couramment utilisé pour la mobilité dans les activités de vie privée et de service public en tant que transport. L'un des sujets importants qui devrait être appliqué aux méthodes écologiquement sensibles est le transport. L'un des principaux problèmes rencontrés aujourd'hui est les effets nocifs des véhicules à moteur à combustion interne. Les véhicules électriques sont préférés parce qu'ils fonctionnent efficacement et avec le moins d'effet de dommage sur l'environnement. L'emplacement des véhicules électriques est un problème compliqué car il dépend de nombreux facteurs différents. Dans cette étude, le processus de hiérarchie analytique floue (AHP floue) en tant que méthodes de prise de décision multi-critères (MCDM) et systèmes d'informations géographiques (SIG) pour gérer les données qui peuvent être utilisées pour la sélection de l'emplacement des stations de chargement de véhicules électriques sont recherchées. The study area was determined by three neighboring districts boundaries city of Istanbul in Turkey.Abstract. Significant work is being done to protect the world and ecosystem. Los enfoques innovadores están siendo explorados para reducir el daño de los métodos utilizados para sustentar la vida. Mobility is an essential issue that affects people and society in today 's life. Automobiles are the most commonly used vehicle for mobility in private life and public service activities such as transportation. Uno de los temas importantes que debería aplicarse a los métodos ambientalmente sensibles es el transporte. One of the major problems encountered today is the harmful effects of internal combustion motor vehicles. Los vehículos eléctricos son los preferidos por su eficiencia en el trabajo y con el menor efecto perjudicial para el medio ambiente. The location of electric vehicles is a complicated problem because it depends on many different factors. In this study, fuzzy analytical hierarchy process (Fuzzy AHP) as multi-criteria decision-making (MCDM) methods and geographic information systems (GIS) to manage data which can be used for the location selection of electric vehicles charging stations are researched. The study area was determined by three neighboring districts boundaries city of Istanbul in Turkey.Abstract. Significant work is being done to protect the world and ecosystem. Innovative approaches are being explored to reduce the harm of the methods used to sustain life. Mobility is an essential issue that affects people and society in today's life. Automobiles are the most commonly used vehicle for mobility in private life and public service activities such as transportation. One of the important subjects that should be applied to environmentally sensitive methods is transportation. One of the major problems encountered today is the harmful effects of internal combustion motor vehicles. Electric vehicles are preferred because they work efficiently and with the least damaging effect on the environment. The location of electric vehicles is a complicated problem because it depends on many different factors. In this study, fuzzy analytical hierarchy process (Fuzzy AHP) as multi-criteria decision-making (MCDM) methods and geographic information systems (GIS) to manage data which can be used for the location selection of electric vehicles charging stations are researched. The study area was determined by three neighboring districts boundaries city of Istanbul in Turkey.Abstract. Significant work is being done to protect the world and ecosystem. Innovative approaches are being explored to reduce the harm of the methods used to sustain life. Mobility is an essential issue that affects people and society in today's life. Automobiles are the most commonly used vehicle for mobility in private life and public service activities such as transport. One of the important subjects that should be applied to environmentally sensitive methods is transportation. One of the major problems encountered today is the harmful effects of internal combustion engine vehicles. Electric vehicles are preferred because they work efficiently and with the least damaging effect on the environment. The location of electric vehicles is a complicated problem because it depends on many different factors. In this study, fuzzy analytical hierarchy process (fuzzy AHP) as multi-criteria decision-making (MCDM) methods and geographic information systems (GIS) to manage data which can be used for the location selection of electric vehicles charging stations are researched. The study area was determined by three neighboring districts boundaries city of Istanbul in Turkey.الملخص: يجري القيام بعمل كبير لحماية العالم والنظام الإيكولوجي. ويجري استكشاف أساليب مبتكرة للحد من ضرر الأساليب المستخدمة للحفاظ على الحياة. التنقل هو قضية أساسية تؤثر على الناس والمجتمع في حياة اليوم. السيارات هي الوسيلة الأكثر استخدامًا للتنقل في الحياة الخاصة وأنشطة الخدمة العامة مثل النقل. أحد الموضوعات المهمة التي يجب تطبيقها على الطرق الحساسة بيئيًا هو النقل. تتمثل إحدى المشكلات الرئيسية التي نواجهها اليوم في الآثار الضارة لمركبات محركات الاحتراق الداخلي. يفضل استخدام المركبات الكهربائية لأنها تعمل بكفاءة وبأقل تأثير ضار على البيئة. يعد موقع المركبات الكهربائية مشكلة معقدة لأنه يعتمد على العديد من العوامل المختلفة. في هذه الدراسة، يتم البحث في عملية التسلسل الهرمي التحليلي الغامض (fuzzy AHP) كطرق صنع القرار متعددة المعايير (MCDM) وأنظمة المعلومات الجغرافية (GIS) لإدارة البيانات التي يمكن استخدامها لاختيار موقع محطات شحن المركبات الكهربائية. تم تحديد منطقة الدراسة بثلاث مناطق مجاورة تقع على حدود مدينة اسطنبول في تركيا.