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Maxim A Dulebenets

Biographic Data

ID4416899
NAMEMaxim A Dulebenets
GIVEN NAMESMaxim A
FAMILY NAMEDulebenets
SIGNATUREDULEBENETS M A
AFFILIATIONSFlorida A&M University - Florida State University College of Engineering
ORCID0000-0001-8456-9736
VERIFIEDYes
TOTAL WORKS12
TOTAL CITATIONS0
WORKS AS AUTHOR12
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Closed-loop pharmaceutical supply chains

    Open Access•Fatemeh Shekoohi, Payam Afkhami et al.•ARTICLE•Socio-Economic Planning Sciences•2026

  • Robust mobile electric vehicle charging solutions for natural disasters

    Open Access•Razieh Khayamim, Mohammad Movahedi et al.•ARTICLE•Journal of Transport Geography•2026

  • Has Warsaw internalised its low - emission zone? Changes in travel behaviour and air quality in the first year of the zone

    Open Access•Marta Borowska-Stefańska, Maxim A Dulebenets et al.•ARTICLE•Cities•2026

  • A holistic multi-objective framework for level crossing resource allocation decisions with safety, environmental, and noise pollution considerations

    Open Access•Payam Afkhami, Fatemeh Shekoohi et al.•ARTICLE•Sustainable Cities and Society•2026

  • Graph neural network actor-critic model development for smart and resilient parcel-based land use allocation

    Open Access•Alireza Sahebgharani, Szymon Wiśniewski et al.•ARTICLE•Sustainable Cities and Society•2026

  • Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques

    Open Access•Richard Boadu Antwi, Prince Lartey Lawson et al.•ARTICLE•ISPRS International Journal of…•2025

    The rapid advancement of computer vision technology is transforming how transportation agencies collect roadway characteristics inventory (RCI) data, yielding substantial savings in resources and time. Traditionally, capturing roadway data through image processing was seen as both difficult and error-prone. However, considering the recent improvements in computational power and image recognition techniques, there are now reliable methods to ident…

  • Periodic low emission zones

    Open Access•Marta Borowska-Stefańska, Maxim A Dulebenets et al.•ARTICLE•Cities•2025

  • Impact of Covid-19 Pandemic on Daily Mobility of the Elderly Living in Small Cities in Lodz Province

    Open Access•Marta Borowska-Stefańska, Maxim A Dulebenets et al.•ARTICLE•International Journal of…•2023

    The article presents a study into the impact that the COVID-19 pandemic had on the daily mobility of those over 60 residing in small towns in the Lodz Province. The study determines the impact on the trip destination, trip frequency, preferred means of transport, distance and duration of trips, and length of the target activity. To achieve these objectives, a survey was conducted using the CATI technique (Computer Assisted Telephone Interviewing)…

  • Assessing the effects of Sunday shopping restrictions on urban mobility patterns in Poland

    Open Access•Marta Borowska-Stefańska, Maxim A Dulebenets et al.•ARTICLE•Journal of Transport Geography•2023•References: 4

  • Supply chain disruption during the Covid-19 pandemic

    Open Access•Javid Moosavi, Amir M Fathollahi‐Fard et al.•ARTICLE•International Journal of Disaster…•2022

  • Implementation of solar energy in smart cities using an integration of artificial neural network, photovoltaic system and classical Delphi methods

    Open Access•Nasim Ghadami, Mohammad Gheibi et al.•ARTICLE•Sustainable Cities and Society•2021

  • The Impact of Risk Perception on Social Distancing during the Covid-19 Pandemic in China

    Open Access•Kefan Xie, Benbu Liang et al.•ARTICLE•International Journal of…•2020

    Social distancing is one of the most recommended policies worldwide to reduce diffusion risk during the COVID-19 pandemic. Based on a risk management perspective, this study explores the mechanism of the risk perception effect on social distancing in order to improve individual physical distancing behavior. The data for this study were collected from 317 Chinese residents in May 2020 using an internet-based survey. A structural equation model (SE…

No prominent works on this page.

  • The Impact of Risk Perception on Social Distancing during the Covid-19 Pandemic in China

    Open Access•Kefan Xie, Benbu Liang et al.•ARTICLE•International Journal of…•2020

    Social distancing is one of the most recommended policies worldwide to reduce diffusion risk during the COVID-19 pandemic. Based on a risk management perspective, this study explores the mechanism of the risk perception effect on social distancing in order to improve individual physical distancing behavior. The data for this study were collected from 317 Chinese residents in May 2020 using an internet-based survey. A structural equation model (SE…

  • Implementation of solar energy in smart cities using an integration of artificial neural network, photovoltaic system and classical Delphi methods

    Open Access•Nasim Ghadami, Mohammad Gheibi et al.•ARTICLE•Sustainable Cities and Society•2021

  • Supply chain disruption during the Covid-19 pandemic

    Open Access•Javid Moosavi, Amir M Fathollahi‐Fard et al.•ARTICLE•International Journal of Disaster…•2022

  • Impact of Covid-19 Pandemic on Daily Mobility of the Elderly Living in Small Cities in Lodz Province

    Open Access•Marta Borowska-Stefańska, Maxim A Dulebenets et al.•ARTICLE•International Journal of…•2023

    The article presents a study into the impact that the COVID-19 pandemic had on the daily mobility of those over 60 residing in small towns in the Lodz Province. The study determines the impact on the trip destination, trip frequency, preferred means of transport, distance and duration of trips, and length of the target activity. To achieve these objectives, a survey was conducted using the CATI technique (Computer Assisted Telephone Interviewing)…

  • Assessing the effects of Sunday shopping restrictions on urban mobility patterns in Poland

    Open Access•Marta Borowska-Stefańska, Maxim A Dulebenets et al.•ARTICLE•Journal of Transport Geography•2023•References: 4

  • Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques

    Open Access•Richard Boadu Antwi, Prince Lartey Lawson et al.•ARTICLE•ISPRS International Journal of…•2025

    The rapid advancement of computer vision technology is transforming how transportation agencies collect roadway characteristics inventory (RCI) data, yielding substantial savings in resources and time. Traditionally, capturing roadway data through image processing was seen as both difficult and error-prone. However, considering the recent improvements in computational power and image recognition techniques, there are now reliable methods to ident…

  • Periodic low emission zones

    Open Access•Marta Borowska-Stefańska, Maxim A Dulebenets et al.•ARTICLE•Cities•2025

  • Closed-loop pharmaceutical supply chains

    Open Access•Fatemeh Shekoohi, Payam Afkhami et al.•ARTICLE•Socio-Economic Planning Sciences•2026

  • Robust mobile electric vehicle charging solutions for natural disasters

    Open Access•Razieh Khayamim, Mohammad Movahedi et al.•ARTICLE•Journal of Transport Geography•2026

  • Has Warsaw internalised its low - emission zone? Changes in travel behaviour and air quality in the first year of the zone

    Open Access•Marta Borowska-Stefańska, Maxim A Dulebenets et al.•ARTICLE•Cities•2026

  • A holistic multi-objective framework for level crossing resource allocation decisions with safety, environmental, and noise pollution considerations

    Open Access•Payam Afkhami, Fatemeh Shekoohi et al.•ARTICLE•Sustainable Cities and Society•2026

  • Graph neural network actor-critic model development for smart and resilient parcel-based land use allocation

    Open Access•Alireza Sahebgharani, Szymon Wiśniewski et al.•ARTICLE•Sustainable Cities and Society•2026

Computer Science (5 works) · Engineering (4 works) · Medicine (4 works) · Pandemic (4 works) · Business (3 works) · Coronavirus disease 2019 (COVID-19 (3 works) · Transport engineering (3 works) · Air Quality and Health Impacts (2 works) · Artificial Intelligence (2 works) · Geography (2 works)

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