Dr. Binoy B V

@nitc.ac.in

Research Associate, Department of Architecture and Planning
NIT Calicut

Dr. Binoy B V


                     Download Compact PDF  
https://researchid.co/binoy9344

RESEARCH INTERESTS

Geographic Information Systems, Remote Sensing, Urban Planning, Spatial Econometrics, Spatial Modeling, Disaster Management
12

Scopus Publications

303

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Air pollution perception among the residents and medical practitioners of an industrial cluster in a developing country
    S. Jawahar Saud, Anshu George Zacharias, Abinaya Sekar, B. V. Binoy, George Kuttiparichel Varghese, Aswathy Erat Valsan
    Discover Environment, 2025
    Public perception on pollution and associated risks are important to plan and implement environmental health management programmes. The study was carried out to understand the perception of the residents near an industrial cluster on air pollution and its health impacts through a questionnaire survey. The survey included 28 questions across three areas: demography, general environment, and air pollution. To evaluate the perception of residents on their health vis-à-vis their actual health conditions, the medical practitioners working in the area were also interviewed. The association between the responses and the different demographic attributes of the respondents were explored using descriptive statistics. The study revealed that age had a significant influence on the perception of pollution, while gender, educational qualification, and length of residence had no significant influence. Based on the information shared by the medical practitioners, it is found that more than 100 residents approach them every day for conditions attributable to air pollution. The long-term environmental risk due to pollution among residents was rated 7 or above on a scale of 1 to 10 by the medical professionals. The PM2.5 concentration monitored continuously at two locations within the residential area covering the period of survey showed that the mean values exceeded the levels prescribed by National Ambient Air Quality Standards. In spite of the negative perception and poor health conditions, there have been no major corrective interventions by the concerned authorities. The study highlights the proactive role a government should play for protecting the health of citizens.
  • Spatial variation of the determinants affecting urban land value in Thiruvananthapuram, India
    B.V. Binoy, M.A. Naseer, P.P. Anil Kumar
    International Journal of Housing Markets and Analysis, 2024
    Purpose Land value varies at a micro level depending on the location’s economic, geographical and political determinants. The purpose of this study is to present a comprehensive assessment of the determinants affecting land value in the Indian city of Thiruvananthapuram in the state of Kerala. Design/methodology/approach The global influence of the identified 20 explanatory variables on land value is measured using the traditional hedonic price modeling approach. The localized spatial variations of the influencing parameters are examined using the non-parametric regression method, geographically weighted regression. This study used advertised land value prices collected from Web sources and screened through field surveys. Findings Global regression results indicate that access to transportation facilities, commercial establishments, crime sources, wetland classification and disaster history has the strongest influence on land value in the study area. Local regression results demonstrate that the factors influencing land value are not stationary in the study area. Most variables have a different influence in Kazhakootam and the residential areas than in the central business district region. Originality/value This study confirms findings from previous studies and provides additional evidence in the spatial dynamics of land value creation. It is to be noted that advanced modeling approaches used in the research have not received much attention in Indian property valuation studies. The outcomes of this study have important implications for the property value fixation of urban Kerala. The regional variation of land value within an urban agglomeration shows the need for a localized method for land value calculation.
  • Modeling flood susceptibility on the onset of the Kerala floods of 2018
    K. Chithra, B. V. Binoy, P. Bimal
    Environmental Earth Sciences, 2024
  • Health risk associated with exposure to particulate matter and volatile organic compounds among two-wheeler delivery personnel in Ghaziabad, India
    Abinaya Sekar, B V Binoy, Dheeraj Alshetty, Manoj Kumar N, George Kuttiparichel Varghese, Ravi Varma
    Atmospheric Pollution Research, 2023
  • A critical review of the fair value of land in Kerala, India
    B.V. Binoy, M.A. Naseer, P.P. Anil Kumar
    Property Management, 2023
    PurposeProperty tax continues to be the most viable, steady, progressive and genuine source of income for an independent local government administration in India. Kerala has one of the most complex cadastral and property taxation systems in the country. In 2008, the Kerala government introduced “Fair value of land” for all landed property in Kerala, which is calculated per Are and notified by the Government of Kerala on the website. This paper presents the outcome of the spatial mapping of the fair value of land in Kerala and its comparison with actual land value collected through advertisements and surveys.Design/methodology/approachThe methodology used in this study analyzed the existing fair value system of land valuation in Kerala and identified its drawbacks. Fair value is integrated into cadastral data in geographical information system (GIS) and spatially analyzed to identify the discrepancies in fair value fixation. The actual land value for 837 locations is collected from online advertisements and verified through a field survey. A paired t-test analysis follows this to compare the fair value and actual land value of the study area.FindingsThe disparity between the original land value and the registration value in Kerala has resulted in the undervaluation of land resources by the government. The fair value fixed by the government is significantly lower than the actual land value based on the statistical comparison results. It is observed that the actual land value is multiple times higher than the government fixed land value. Also, the spatial distribution of the village level fair value shows the randomness in fixation and abnormalities existing at numerous locations.Practical implicationsThe results indicate that the traditional comparison method used for fair value calculation by the Kerala government is not suitable in Indian scenarios due to the unreliability of registration values. The study thus points to the importance of developing a scientific method for determining the land value that would consider various spatially influencing parameters.Originality/valueThe current study provided an in-depth analysis of the land valuation system of the Kerala government. The strengths and weaknesses of the existing system are analyzed through statistical methods.
  • Air quality change and public perception during the COVID-19 lockdown in India
    Abinaya Sekar, R.S. Jasna, B.V. Binoy, Prem Mohan, George Kuttiparichel Varghese
    Gondwana Research, 2023
  • Spatial Mapping of the Flood-Affected Regions of Northern Kerala: A Case Study of 2018 Kerala Floods
    K. Chithra, B. V. Binoy, P. Bimal
    Journal of the Indian Society of Remote Sensing, 2022
  • A bibliometric analysis of property valuation research
    B .V Binoy, M. A Naseer, P.P Anil Kumar, Nina Lazar
    International Journal of Housing Markets and Analysis, 2022
    Purpose Real estate valuation studies gained popularity with the availability of large-scale property transaction data in the latter part of the twentieth century. Hedonic price modeling (HPM) was the most popular method in the initial years until it was taken over by advanced modeling methods in the twenty-first century. Even though there exist a few literature reviews on this topic, no comprehensive bibliometric analysis is conducted in this area. In view of gaining a better understanding of the dynamics of property valuation studies, this paper aims to conduct a bibliometric analysis. Design/methodology/approach A comprehensive search in the Scopus database, followed by detailed screening resulted in 1,400 articles. The identified research articles spanning over five decades (1964–2019) are analyzed using the open-source R package “bibliometrix.” Findings The study found the USA to be the most productive country in various aspects, such as number of publications, number of authors and publication hotspots. The findings also demonstrate assessments on the publication trends, journals, citations, keywords, co-citation and collaboration networks. It was observed that there exists an upsurge in the number of publications after the year 2000 owing to improved data availability and better modeling techniques. Research limitations/implications This study is significant in understanding the major research areas and modeling techniques used in property valuation. Future studies can incorporate multiple database sources and include more articles. Originality/value The current study is one of the first bibliometric studies on property valuation. Previous studies have not explored the possibilities of geographic information system in bibliometric research. Spatial mapping and analysis of publications provide a geographical perspective of valuation research.
  • Factors affecting land value in an Indian city
    B V Binoy, M. A Naseer, P P Anil Kumar
    Journal of Property Research, 2022
    Land valuation is the process of determining the value of the landed property, excluding all human-made improvements. This paper presents a comprehensive assessment and modelling of the land value and its determinants. Thiruvananthapuram, the capital city of Kerala state, is selected as the study area. Land value modelling applied in this study is divided into three stages. The first stage uses a standard hedonic price model for land value estimation and spatial autocorrelation diagnostics. The spatial error model is appropriate for variable selection and modelling based on Moran’s I and Lagrange Multiplier test statistics in the second stage. The last stage of the study uses the spatial error model for land value analysis, and the results are compared with OLS regression. Proximity to major highways, disaster history, concentration of commercial establishments, and permissible FAR are the major factors affecting land value in the study area. Few other parameters like water frontage and noise pollution have a reverse relationship with similar studies in developed countries. The results indicate that factors influencing land value in Indian cities are different from the European and American cities. The study provides critical insights into the land price variation of an Indian city at a micro-level..
  • Impact of anthropogenic activities on landslide occurrences in southwest India: An investigation using spatial models
    Sheelu Jones, A K Kasthurba, Anjana Bhagyanathan, B V Binoy
    Journal of Earth System Science, 2021
  • Landslide susceptibility investigation for Idukki district of Kerala using regression analysis and machine learning
    Sheelu Jones, A. K. Kasthurba, Anjana Bhagyanathan, B. V. Binoy
    Arabian Journal of Geosciences, 2021
  • A methodology for identifying critical factors influencing land value in urban areas: a case study of Kerala, India
    Binoy BV, Naseer MA, Anil Kumar PP
    Property Management, 2020

RECENT SCHOLAR PUBLICATIONS

  • Air pollution perception among the residents and medical practitioners of an industrial cluster in a developing country
    SJ Saud, AG Zacharias, A Sekar, BV Binoy, GK Varghese, AE Valsan
    Discover Environment 3 (1), 41 , 2025
    2025.0
    Citations: 1
  • Spatial variation of the determinants affecting urban land value in Thiruvananthapuram, India
    BV Binoy, MA Naseer, PP Anil Kumar
    International Journal of Housing Markets and Analysis 17 (3), 611-656 , 2024
    2024.0
    Citations: 10
  • Modeling flood susceptibility on the onset of the Kerala floods of 2018
    K Chithra, BV Binoy, P Bimal
    Environmental Earth Sciences 83 (4), 123 , 2024
    2024.0
    Citations: 14
  • Health risk associated with exposure to particulate matter and volatile organic compounds among two-wheeler delivery personnel in Ghaziabad, India
    A Sekar, BV Binoy, D Alshetty, M Kumar, GK Varghese, R Varma
    Atmospheric Pollution Research, 101806 , 2023
    2023.0
    Citations: 9
  • A critical review of the fair value of land in Kerala, India
    BV Binoy, MA Naseer, PP Anil Kumar
    Property Management 41 (2), 295-307 , 2023
    2023.0
    Citations: 1
  • Air quality change and public perception during the COVID-19 lockdown in India
    A Sekar, RS Jasna, BV Binoy, P Mohan, GK Varghese
    Gondwana Research 114, 15-29 , 2023
    2023.0
    Citations: 32
  • Factors affecting land value in an Indian city
    BV Binoy, MA Naseer, PP Anil Kumar
    Journal of Property Research 39 (3), 268-292 , 2022
    2022.0
    Citations: 13
  • Spatial mapping of the flood-affected regions of Northern Kerala: a case study of 2018 Kerala floods
    K Chithra, BV Binoy, P Bimal
    Journal of the Indian Society of Remote Sensing 50 (4), 677-688 , 2022
    2022.0
    Citations: 9
  • A bibliometric analysis of property valuation research
    BV Binoy, MA Naseer, PP Anil Kumar, N Lazar
    International Journal of Housing Markets and Analysis 15 (1), 35-54 , 2022
    2022.0
    Citations: 27
  • Impact of Land Cover on Land Surface Temperature A Remote Sensing Perspective
    B Binoy, N Lazar, V Joshima
    International Research Journal of Engineering and Technology 9, 16-22 , 2022
    2022.0
    Citations: 1
  • Impact of anthropogenic activities on landslide occurrences in southwest India: An investigation using spatial models
    S Jones, AK Kasthurba, A Bhagyanathan, BV Binoy
    Journal of Earth System Science 130 (2), 70 , 2021
    2021.0
    Citations: 52
  • Landslide susceptibility investigation for Idukki district of Kerala using regression analysis and machine learning
    S Jones, AK Kasthurba, A Bhagyanathan, BV Binoy
    Arabian Journal of Geosciences 14 (10), 838 , 2021
    2021.0
    Citations: 72
  • A methodology for identifying critical factors influencing land value in urban areas: a case study of Kerala, India
    B BV, N MA, AK PP
    Property Management 38 (5), 665-681 , 2020
    2020.0
    Citations: 24
  • GIS BASED PREPAREDNESS AND EMERGENCY RESPONSE FOR AN EVENT: THRISSUR POORAM MASS GATHERING OF KERALA, INDIA
    S Kasthala, BV Binoy, A Thambi
    38th INCA International Congress, Hyderabad , 2017
    2017.0
    Citations: 4
  • Estimation of the Relationship between urban vegetation and land surface temperature of Calicut City and suburbs, kerala, India using GIS and Remote Sensing data
    VV Chaithanya, BV Binoy, TR Vinod
    International Journal of Advanced Remote Sensing and GIS 6 (1), 2088-2096 , 2017
    2017.0
    Citations: 28
  • VIRTUAL 3D MAPPING AND ANALYSIS USING REMOTE SENSING DATA AND PHOTOGRAPHS
    BV Binoy, B Shashank, R Hebbar, R Uday, S Karuppasamy
    International Journal of Remote Sensing & Geoscience 1 (2), 1-5 , 2012
    2012.0
    Citations: 4
  • Spatial strategies for crowd management in haridwar india
    S Kasthala, B BV, H Lakr
    International Journal of Advanced Civil Engineering and Architecture … , 0
    Citations: 2
  • 38th INCA
    BBV Sindhuja Kasthala, A Thambi

MOST CITED SCHOLAR PUBLICATIONS

  • Landslide susceptibility investigation for Idukki district of Kerala using regression analysis and machine learning
    S Jones, AK Kasthurba, A Bhagyanathan, BV Binoy
    Arabian Journal of Geosciences 14 (10), 838 , 2021
    2021.0
    Citations: 72
  • Impact of anthropogenic activities on landslide occurrences in southwest India: An investigation using spatial models
    S Jones, AK Kasthurba, A Bhagyanathan, BV Binoy
    Journal of Earth System Science 130 (2), 70 , 2021
    2021.0
    Citations: 52
  • Air quality change and public perception during the COVID-19 lockdown in India
    A Sekar, RS Jasna, BV Binoy, P Mohan, GK Varghese
    Gondwana Research 114, 15-29 , 2023
    2023.0
    Citations: 32
  • Estimation of the Relationship between urban vegetation and land surface temperature of Calicut City and suburbs, kerala, India using GIS and Remote Sensing data
    VV Chaithanya, BV Binoy, TR Vinod
    International Journal of Advanced Remote Sensing and GIS 6 (1), 2088-2096 , 2017
    2017.0
    Citations: 28
  • A bibliometric analysis of property valuation research
    BV Binoy, MA Naseer, PP Anil Kumar, N Lazar
    International Journal of Housing Markets and Analysis 15 (1), 35-54 , 2022
    2022.0
    Citations: 27
  • A methodology for identifying critical factors influencing land value in urban areas: a case study of Kerala, India
    B BV, N MA, AK PP
    Property Management 38 (5), 665-681 , 2020
    2020.0
    Citations: 24
  • Modeling flood susceptibility on the onset of the Kerala floods of 2018
    K Chithra, BV Binoy, P Bimal
    Environmental Earth Sciences 83 (4), 123 , 2024
    2024.0
    Citations: 14
  • Factors affecting land value in an Indian city
    BV Binoy, MA Naseer, PP Anil Kumar
    Journal of Property Research 39 (3), 268-292 , 2022
    2022.0
    Citations: 13
  • Spatial variation of the determinants affecting urban land value in Thiruvananthapuram, India
    BV Binoy, MA Naseer, PP Anil Kumar
    International Journal of Housing Markets and Analysis 17 (3), 611-656 , 2024
    2024.0
    Citations: 10
  • Health risk associated with exposure to particulate matter and volatile organic compounds among two-wheeler delivery personnel in Ghaziabad, India
    A Sekar, BV Binoy, D Alshetty, M Kumar, GK Varghese, R Varma
    Atmospheric Pollution Research, 101806 , 2023
    2023.0
    Citations: 9
  • Spatial mapping of the flood-affected regions of Northern Kerala: a case study of 2018 Kerala floods
    K Chithra, BV Binoy, P Bimal
    Journal of the Indian Society of Remote Sensing 50 (4), 677-688 , 2022
    2022.0
    Citations: 9
  • GIS BASED PREPAREDNESS AND EMERGENCY RESPONSE FOR AN EVENT: THRISSUR POORAM MASS GATHERING OF KERALA, INDIA
    S Kasthala, BV Binoy, A Thambi
    38th INCA International Congress, Hyderabad , 2017
    2017.0
    Citations: 4
  • VIRTUAL 3D MAPPING AND ANALYSIS USING REMOTE SENSING DATA AND PHOTOGRAPHS
    BV Binoy, B Shashank, R Hebbar, R Uday, S Karuppasamy
    International Journal of Remote Sensing & Geoscience 1 (2), 1-5 , 2012
    2012.0
    Citations: 4
  • Spatial strategies for crowd management in haridwar india
    S Kasthala, B BV, H Lakr
    International Journal of Advanced Civil Engineering and Architecture … , 0
    Citations: 2
  • Air pollution perception among the residents and medical practitioners of an industrial cluster in a developing country
    SJ Saud, AG Zacharias, A Sekar, BV Binoy, GK Varghese, AE Valsan
    Discover Environment 3 (1), 41 , 2025
    2025.0
    Citations: 1
  • A critical review of the fair value of land in Kerala, India
    BV Binoy, MA Naseer, PP Anil Kumar
    Property Management 41 (2), 295-307 , 2023
    2023.0
    Citations: 1
  • Impact of Land Cover on Land Surface Temperature A Remote Sensing Perspective
    B Binoy, N Lazar, V Joshima
    International Research Journal of Engineering and Technology 9, 16-22 , 2022
    2022.0
    Citations: 1
  • 38th INCA
    BBV Sindhuja Kasthala, A Thambi