Dr. Abhijat Arun Abhyankar

@nicmar.ac.in

Associate Professor and Interim Dean, School of Energy and Environment
NICMAR University Pune

Dr. Abhijat Arun Abhyankar


                  Download Compact PDF  
https://researchid.co/abhijat

RESEARCH, TEACHING, or OTHER INTERESTS

Environmental Science
21

Scopus Publications

96

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Extended Producer Responsibility in Mitigating E-waste: A Study of Mobile Phone Users in India
    Abhijat Abhyankar, J. S. Sudarsan, Anand Prakash, Anandha Kumar Subramani, Murali G, Vishal Bhalla, Keerat Kumar Gupta
    Circular Economy and Sustainability, 2026
  • Compressed Stabilized Earth Blocks for Sustainable Building Construction: A PRISMA-Guided Systematic Review and TCCM Analysis
    Swati Sinha, Jayaraman Sethuraman Sudarsan, Abhijat Arun Abhyankar
    Buildings, 2026
    Global interest in sustainable building materials is increasing due to growing concerns regarding the environmental impacts of conventional construction materials, particularly fired clay bricks. Compressed Stabilized Earth Blocks (CSEBs) have emerged as a viable, cost-effective, and environmentally sustainable alternative for building construction. The incorporation of waste-derived additives in CSEBs not only addresses waste management challenges but also enhances the functional performance of earthen materials. This study presents a comprehensive synthesis of existing research on the influence of fibers, binders, stabilizers, and production processes on the performance characteristics of CSEBs. A systematic literature review was conducted following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 guidelines, resulting in the identification and analysis of 256 relevant studies. The selected literature was synthesized using the Theories, Contexts, Characteristics, and Methodologies (TCCM) framework to map research trends and methodological approaches. The review indicates that fiber reinforcement primarily improves flexural strength and thermal performance, while binders significantly enhance compressive strength and erosion resistance. The findings also demonstrate that selected waste materials can partially replace natural soil, provided minimum material and performance standards are satisfied. The study highlights the need for standardized manufacturing guidelines and testing protocols to improve the reliability, scalability, and wider adoption of CSEBs in sustainable building applications.
  • Integrating ESG principles in India's construction sector: A comprehensive assessment
    A. A. Abhyankar, J.S. Sudarsan, V. Balon
    Journal of Environmental Biology, 2026
    Aim: The given research explores the integration of Environmental, Social, and Governance (ESG) principles within India's construction sector, highlighting their influence on sustainability, project performance, and governance structures. The necessity for ESG adoption has been highlighted in recent years by the global shift toward sustainable business practices, especially in high-impact sectors like construction. Methodology: Through an analysis of corporate governance frameworks, social responsibility initiatives, and environmentally friendly construction techniques, this study assesses the degree to which Indian construction companies have adopted ESG. Results: To give a thorough grasp of the importance of ESG factors in the industry, the analysis ranks them using the Relative Importance Index (RII) technique. To visually compare ESG aspects across different categories, the study also makes use of a variety of visualizations. Interpretation: This study points out the weaknesses in current frameworks and suggest ways to improve ESG integration in order to meet the Sustainable Development Goals (SDGs). This study advances sustainable construction practices in India by providing information to investors, legislators, and industry stakeholders. The results of the study relate the importance of ESG component by means of RII. It was interpreted how different factors among ESG are valued in the construction industry. Key words: Construction Sector, ESG, Framework, Policy, Principles, Sustainability
  • Life Cycle Analysis of Steel, Glass Fiber Rebar Polymer and Basalt Fiber Reinforcement Polymer
    Virendra Balon, A. A. Abhyankar, J. S. Sudarsan
    Journal of Mines Metals and Fuels, 2025
    This study aims to identify an alternative material to steel with a lower environmental footprint while maintaining comparable performance, durability, and cost-effectiveness. We have used Life Cycle Assessment (LCA) as a tool for the present study. We have compared steel with Glass Fiber Polymer Rebar (GFRP) and Basalt Fiber Rebar Polymer (BFRP). There are four major steps involved in cradle-to-grave analysis: Goal definition, inventory analysis, impact assessment, and improvement analysis. Life Cycle Cost Assessment (LCCA) per unit analysis for each material considers raw materials, production costs, and market price comparison. Major Findings: BFRP or Basalt rebar or Basalt offers competitive performance at a lower environmental cost. Basalt rebar shows promise as a sustainable alternative to steel and GFRP. BFRP is better in performance in terms of less corrosion than steel and GFRP. Steel, despite its poor environmental performance (i.e. in terms of air emission i.e. NOx and SOx, and waste water quality) remains widely used due to cost-effectiveness. Based on the environmental performance the research concluded: Basalt > GFRP > Steel. The economic viability of steel still remains, but basalt offers better eco-efficiency. LCA proves that basalt rebar is a strong alternative for sustainability.
  • Impact of solid waste landfill proximity on residential property offer values: a case study of Pune
    Abhijat Arun Abhyankar, Anand Prakash, Harish Kumar Singla
    International Journal of Housing Markets and Analysis, 2025
    Purpose This study aims to examine whether or not residential properties closer to landfill sites have lower offer values by the developers. That is, by analyzing real estate data and landfill site locations, the study seeks to provide insights into whether properties situated closer to landfill sites tend to have a lower offer values than those located farther away. Design/methodology/approach The study is exploratory in nature, and a case study approach is applied. A landfill site named “Uruli Devachi” is selected in the region of Pune district, and data is collected from 102 developers selling residential projects within a radius of 15 km (about 9.32 mi). The gathered data is analyzed by using basic descriptive statistics, one-way ANOVA and ordinary least squares (OLS) regression. The OLS regression helps to determine whether there is a relationship between the distance of a residential property from a landfill site and its offer value. Findings The findings suggest that landfill sites have a detrimental impact on residential property offer values, with the negative impact increasing with proximity to a landfill site. The negative effect seems to vanish after over 10 km (about 6.21 mi). The developers provide extra facilities including a clubhouse, a children’s play area, a gym and a swimming pool in an effort to mitigate the negative effects of the landfill site on residential properties. Practical implications The findings of this study could have implications for property developers, real estate professionals and policymakers in understanding how landfill proximity might impact property offer values. Originality/value This study presents many novelties for the Indian housing market: the landfill sites do have a negative effect on the offer value of residential property; the closer the residential property to a landfill site, the higher the negative effect. Further, the developers try and mitigate the negative effect of landfill sites on residential properties by providing additional amenities such as a clubhouse, children’s play park, gym and swimming pool.
  • Analysis of Construction and Demolition (C&D) Waste Management Framework in India: Strategies for Improvement
    J. S. Sudarsan, Pradeepta Kumar Samanta, Abhijat A. Abhyankar, Swati Sinha
    Lecture Notes in Civil Engineering, 2025
  • Damage Assessment Due to Wildfire Using Remote Sensing and GIS: An Indian Case Study of Similipal, Odisha
    Charu Singh, Aparna Naithani, Yash Solanki, Amol Jaiswal, Vikrant Patil, Abhijat Abhyankar
    Lecture Notes in Civil Engineering, 2025
  • Understanding the Awareness of Consumers About EPR with Respect to E-Waste
    J. S. Sudarsan, Abhijat Arun Abhyankar, Swati Sinha, Ayush Poddar, Chandramitra Baruah, Chetan Nema, Pulkit Khandelwal, C. S. Lavanya
    Lecture Notes in Civil Engineering, 2025
  • Comparing predictive performance of general regression neural network (GRNN) and hedonic regression model for factors affecting housing prices in “Pune-India”
    Abhijat Arun Abhyankar, Harish Kumar Singla
    International Journal of Housing Markets and Analysis, 2022
    PurposeThe purpose of this study is to compare the predictive performance of the hedonic multivariate regression model with the probabilistic neural network (PNN)-based general regression neural network (GRNN) model of housing prices in “Pune-India.”Design/methodology/approachData on 211 properties across “Pune city-India” is collected. The price per square feet is considered as a dependent variable whereas distances from important landmarks such as railway station, fort, university, airport, hospital, temple, parks, solid waste site and stadium are considered as independent variables along with a dummy for amenities. The data is analyzed using a hedonic type multivariate regression model and GRNN. The GRNN divides the entire data set into two sets, namely, training set and testing set and establishes a functional relationship between the dependent and target variables based on the probability density function of the training data (Alomair and Garrouch, 2016).FindingsWhile comparing the performance of the hedonic multivariate regression model and PNN-based GRNN, the study finds that the output variable (i.e. price) has been accurately predicted by the GRNN model. All the 42 observations of the testing set are correctly classified giving an accuracy rate of 100%. According to Cortez (2015), a value close to 100% indicates that the model can correctly classify the test data set. Further, the root mean square error (RMSE) value for the final testing for the GRNN model is 0.089 compared to 0.146 for the hedonic multivariate regression model. A lesser value of RMSE indicates that the model contains smaller errors and is a better fit. Therefore, it is concluded that GRNN is a better model to predict the housing price functions. The distance from the solid waste site has the highest degree of variable senstivity impact on the housing prices (22.59%) followed by distance from university (17.78%) and fort (17.73%).Research limitations/implicationsThe study being a “case” is restricted to a particular geographic location hence, the findings of the study cannot be generalized. Further, as the objective of the study is restricted to just to compare the predictive performance of two models, it is felt appropriate to restrict the scope of work by focusing only on “location specific hedonic factors,” as determinants of housing prices.Practical implicationsThe study opens up a new dimension for scholars working in the field of housing prices/valuation. Authors do not rule out the use of traditional statistical techniques such as ordinary least square regression but strongly recommend that it is high time scholars use advanced statistical methods to develop the domain. The application of GRNN, artificial intelligence or other techniques such as auto regressive integrated moving average and vector auto regression modeling helps analyze the data in a much more sophisticated manner and help come up with more robust and conclusive evidence.Originality/valueTo the best of the author’s knowledge, it is the first case study that compares the predictive performance of the hedonic multivariate regression model with the PNN-based GRNN model for housing prices in India.
  • Analysing Construction and Demolition Waste Practices: An Indian Case Study
    J. S. Sudarsan, A. A. Abhyankar, Aayushi Parashar, Sistla Vinay Krishna
    Lecture Notes in Civil Engineering, 2022
  • Identification of vulnerable areas in municipal corporation of Greater Mumbai due to extreme events based on socio economic indicators
    Indian Journal of Marine Sciences, 2013
  • Estimation of flooded areas due to supercyclone using Radarsat-1 SAR data and discriminant approach - An Indian case study
    33rd Asian Conference on Remote Sensing 2012 Acrs 2012, 2012
  • Identifying patterns of tropical cyclones making landfall on Indian coast using gis
    33rd Asian Conference on Remote Sensing 2012 Acrs 2012, 2012
  • Spectral responses of water subclasses in C band HH polarized data
    29th Asian Conference on Remote Sensing 2008 Acrs 2008, 2008
  • Monitoring changes in rice due to tropical Cyclone using Radarsat-1 SAR data
    29th Asian Conference on Remote Sensing 2008 Acrs 2008, 2008
  • Qualitative approaches to rapidly identify completely submerged rice due to tropical cyclone using satellite data
    Abhijat A. Abhyankar, Anand Patwardhan, Arun Inamdar
    International Geoscience and Remote Sensing Symposium IGARSS, 2007
  • Classification of rice crops based on submergence due to tropical cyclone using remotely sensed data: An Indian case study
    Abhijat A. Abhyankar, Anand Patwardhan, Arun Inamdar
    Proceedings of SPIE the International Society for Optical Engineering, 2006
  • Study of different time window of synchronized water sample collection on turbidity regression model using remotely sensed data
    A. Abhyankar, A. Inamdar, S. Asolekar
    International Geoscience and Remote Sensing Symposium IGARSS, 2006
  • Identification of completely submerged areas due to tropical cyclone using satellite data: An Indian case study
    A. Abhyankar, A. Patwardhan, A. Inamdar
    International Geoscience and Remote Sensing Symposium IGARSS, 2006
  • Study of different image windowing on turbidity regression model using remotely sensed data
    A. Abhyankar, A. Inamdar, S. Asolekar
    International Geoscience and Remote Sensing Symposium IGARSS, 2006
  • Chlorophyll concentration studies in the Thane creek, Mumbai, India, through remote sensing: Comparison of ground truth and OCM (IRS-P4) data
    Progress in Water Resources, 2003

RECENT SCHOLAR PUBLICATIONS

  • Compressed Stabilized Earth Blocks for Sustainable Building Construction: A PRISMA-Guided Systematic Review and TCCM Analysis
    S Sinha, JS Sudarsan, AA Abhyankar
    Buildings 16 (8), 1633 , 2026
    2026
  • Integrating ESG principles in India's construction sector: A comprehensive assessment
    AA Abhyankar, JS Sudarsan, V Balon
    Journal of Environmental Biology , 2026
    2026
  • Resilient and sustainable construction industry: leveraging crisis and lean management
    JS Sudarsan, J Rajprasad, V V. Gedam, A A. Abhyankar, N S. Sriram, ...
    International Journal of Construction Management 26 (2), 219-233 , 2026
    2026
    Citations: 2
  • Life Cycle Analysis of Steel, Glass Fiber Rebar Polymer and Basalt Fiber Reinforcement Polymer.
    V Balon, AA Abhyankar, JS Sudarsan
    Journal of Mines, Metals & Fuels 73 (5) , 2025
    2025
  • Impact of solid waste landfill proximity on residential property offer values: a case study of Pune
    AA Abhyankar, A Prakash, HK Singla
    International Journal of Housing Markets and Analysis 18 (2), 334-353 , 2025
    2025
    Citations: 13
  • Damage Assessment Due to Wildfire Using Remote Sensing and GIS: An Indian Case Study of Similipal, Odisha
    C Singh, A Naithani, Y Solanki, A Jaiswal, V Patil, A Abhyankar
    International Conference on Construction, Real Estate, Infrastructure … , 2024
    2024
  • Understanding the Awareness of Consumers About EPR with Respect to E-Waste
    JS Sudarsan, AA Abhyankar, S Sinha, A Poddar, C Baruah, C Nema, ...
    International Conference on Construction, Real Estate, Infrastructure … , 2023
    2023
    Citations: 1
  • Analysis of construction and demolition (C&D) waste management framework in India: strategies for improvement
    JS Sudarsan, PK Samanta, AA Abhyankar, S Sinha
    International Conference on Recent Developments in Sustainable … , 2023
    2023
    Citations: 1
  • Identification of Incinerator Sites for Disposal of Bio-Medical Waste Using Remote Sensing and Geographic Information Systems: An Indian Case Study
    A Bandyopadhyay, KK Shetty, A Chahande, AA Abhyankar
    Journal of Real Estate, Construction & Management 38 (1), 32-42 , 2023
    2023
  • Assessing the Air Quality of Pune Using Unsupervised Classification Technique
    Y Parekh, M Keswani, S Dama, N Bhudhrani, AA Abhyankar
    Journal of Real Estate, Construction & Management 37 (S1), 130-137 , 2022
    2022
  • Analysing construction and demolition waste practices: an Indian case study
    JS Sudarsan, AA Abhyankar, A Parashar, SV Krishna
    Recent Developments in Sustainable Infrastructure (ICRDSI-2020)—Structure … , 2022
    2022
    Citations: 7
  • Comparing predictive performance of general regression neural network (GRNN) and hedonic regression model for factors affecting housing prices in “Pune-India”
    AA Abhyankar, HK Singla
    International Journal of Housing Markets and Analysis 15 (2), 451-477 , 2022
    2022
    Citations: 20
  • Mapping and change detection of mangroves around Mumbai using remote sensing and geographic information systems (Gis)
    A Abhyankar, T Sahoo, B Seth, P Mohapatra, S Palai, P Bhargava, ...
    Journal of Civil Engineering 12 (1) , 2021
    2021
    Citations: 2
  • CREATION OF TELANGANA: A CASE FOR A BETTER GOVERNED SMALLER STATE
    RB Shah, P Kumar, MM Varadpande, S Singh, A Abhyankar
    Journal of Emerging Technologies and Business Management 10 (1), 36 , 2021
    2021
    Citations: 1
  • Real Estate Housing Prices And Microeconomic Theory: Case Study Of Four Indian Metro Cities
    S Sinha, A Kulkarni, L Pothen, A Shirodkar, U Lonare, AA Abhyankar
    BVIMSR’s Journal of Management Research 12 (2), 48-58 , 2020
    2020
    Citations: 1
  • PRICING DRINKING WATER-IS IT ETHICAL?-TEACHING NOTE.
    A Gautam, K Bang, A Kalia, M Kotian, R Gupta, D Desai, AA Abhyankar
    Global Management Review 14 (2) , 2020
    2020
    Citations: 1
  • Pricing Drinking Water-is it ethical?-case stuDy
    A Gautam, K Bang, A Kalia, M Kotian, R Gupta, D Desai, AA Abhyankar
    Global Management Review 14 (2), 75-82 , 2020
    2020
  • Identification of flooded areas due to severe storm using envisat asar data and neural networks
    A Abhyankar, A Patwardhan, M Paliwal, A Inamdar
    Journal of Civil Engineering, Science and Technology 10 (2), 113-120 , 2019
    2019
    Citations: 14
  • PLASTIC BAN IN MAHARASHTRA STATE FROM MARCH 2018: IS IT A WIN-WIN POLICY? 1
    N Singh, C Agrawal, A Vora, AA Angadi, AA Abhyankar
    Global Management Review 12 (2), 35-42 , 2018
    2018
  • PLASTIC BAN IN MAHARASHTRA STATE FROM MARCH 2018: IS IT A WIN-WIN POLICY?
    N Singh, C Agrawal, A Vora, AA Angadi, AA Abhyankar
    Global Management Review 12 (2), 43-54 , 2018
    2018
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Comparing predictive performance of general regression neural network (GRNN) and hedonic regression model for factors affecting housing prices in “Pune-India”
    AA Abhyankar, HK Singla
    International Journal of Housing Markets and Analysis 15 (2), 451-477 , 2022
    2022
    Citations: 20
  • Identification of flooded areas due to severe storm using envisat asar data and neural networks
    A Abhyankar, A Patwardhan, M Paliwal, A Inamdar
    Journal of Civil Engineering, Science and Technology 10 (2), 113-120 , 2019
    2019
    Citations: 14
  • Impact of solid waste landfill proximity on residential property offer values: a case study of Pune
    AA Abhyankar, A Prakash, HK Singla
    International Journal of Housing Markets and Analysis 18 (2), 334-353 , 2025
    2025
    Citations: 13
  • Identification of vulnerable areas in municipal corporation of Greater Mumbai due to extreme events based on socio economic indicators
    AA Abhyankar, M Paliwal, A Patwardhan, AB Inamdar
    Indian Journal of Geo-Marine Sciences 42 (7), 907-914 , 2013
    2013
    Citations: 8
  • Analysing construction and demolition waste practices: an Indian case study
    JS Sudarsan, AA Abhyankar, A Parashar, SV Krishna
    Recent Developments in Sustainable Infrastructure (ICRDSI-2020)—Structure … , 2022
    2022
    Citations: 7
  • Environmental knowledge for disaster risk management
    AK Gupta, SS Nair
    Abstract Volume of International Conference, 10-11 , 2011
    2011
    Citations: 7
  • Constructing a tropical cyclone hazard index for coastal India
    AA Abhyankar, A Singh, U Sharma, A Patwardhan, AB Inamdar
    International Symposium on Natural Hazards, Hyderabad, February, 24-28 , 2004
    2004
    Citations: 5
  • Extreme Weather Events in India-A Preliminary Analysis of Impacts
    A Singh, A Patwardhan, A Abhyankar, NL Sarda
    IIT Bombay, India , 2011
    2011
    Citations: 3
  • Identification of Completely Submerged Areas Due to Tropical Cyclone using Satellite Data: An Indian Case Study
    A Abhyankar, A Patwardhan, A Inamdar
    2006 IEEE International Symposium on Geoscience and Remote Sensing, 3305-3308 , 2006
    2006
    Citations: 3
  • Chlorophyll concentration studies in the Thane creek, Mumbai, India, through remote sensing: Comparison of ground truth and OCM (IRS-P4) data
    S Baji, AB Inamdar, AA Abhyankar, AS Rajawat, M Gupta
    WIT Transactions on Ecology and the Environment 65 , 2003
    2003
    Citations: 3
  • Resilient and sustainable construction industry: leveraging crisis and lean management
    JS Sudarsan, J Rajprasad, V V. Gedam, A A. Abhyankar, N S. Sriram, ...
    International Journal of Construction Management 26 (2), 219-233 , 2026
    2026
    Citations: 2
  • Mapping and change detection of mangroves around Mumbai using remote sensing and geographic information systems (Gis)
    A Abhyankar, T Sahoo, B Seth, P Mohapatra, S Palai, P Bhargava, ...
    Journal of Civil Engineering 12 (1) , 2021
    2021
    Citations: 2
  • Understanding the Awareness of Consumers About EPR with Respect to E-Waste
    JS Sudarsan, AA Abhyankar, S Sinha, A Poddar, C Baruah, C Nema, ...
    International Conference on Construction, Real Estate, Infrastructure … , 2023
    2023
    Citations: 1
  • Analysis of construction and demolition (C&D) waste management framework in India: strategies for improvement
    JS Sudarsan, PK Samanta, AA Abhyankar, S Sinha
    International Conference on Recent Developments in Sustainable … , 2023
    2023
    Citations: 1
  • CREATION OF TELANGANA: A CASE FOR A BETTER GOVERNED SMALLER STATE
    RB Shah, P Kumar, MM Varadpande, S Singh, A Abhyankar
    Journal of Emerging Technologies and Business Management 10 (1), 36 , 2021
    2021
    Citations: 1
  • Real Estate Housing Prices And Microeconomic Theory: Case Study Of Four Indian Metro Cities
    S Sinha, A Kulkarni, L Pothen, A Shirodkar, U Lonare, AA Abhyankar
    BVIMSR’s Journal of Management Research 12 (2), 48-58 , 2020
    2020
    Citations: 1
  • PRICING DRINKING WATER-IS IT ETHICAL?-TEACHING NOTE.
    A Gautam, K Bang, A Kalia, M Kotian, R Gupta, D Desai, AA Abhyankar
    Global Management Review 14 (2) , 2020
    2020
    Citations: 1
  • PLASTIC BAN IN MAHARASHTRA STATE FROM MARCH 2018: IS IT A WIN-WIN POLICY?
    N Singh, C Agrawal, A Vora, AA Angadi, AA Abhyankar
    Global Management Review 12 (2), 43-54 , 2018
    2018
    Citations: 1
  • SOCIO-ECONOMIC ANALYSIS OF CONSTRUCTION WORKERS IN AND AROUND BANER BALEWADI AREA
    A Shewale, S Kalantri, A Rai, AA Abhyankar
    BVIMSR’s Journal of Management Research 10 (1), 42-50 , 2018
    2018
    Citations: 1
  • Qualitative approaches to rapidly identify completely submerged rice due to tropical cyclone using satellite data
    AA Abhyankar, A Patwardhan, A Inamdar
    2007 IEEE International Geoscience and Remote Sensing Symposium, 1283-1286 , 2007
    2007
    Citations: 1