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Dr. BANDHAN MAJUMDAR
Assistant Professor Department of Civil Engineering

Basic Info

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Research Keywords & Expertise

0 Transportation Planning
0 Travel behavior analysis
0 Road safety analysis
0 Transportation and mobility systems
0 Sustainable transportation and urban planning

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Short Biography

I am an assistant professor of Civil Engineering Deprtment, BITS Pilani Hyderabad Campus, India working in the area of Transportation Engineering, Transportation Planning, Road Safety, Crash data analysis.

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Journal article
Published: 15 July 2021 in Research in Transportation Business & Management
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Large urban freight traffic generators (LTGs) are large specialized buildings or landmarks housing multiple establishments and generate a significant truck trips at both disaggregate and aggregate levels. Identification of LTGs and quantifying their relationship with freight travel characteristics helps policymakers formulate necessary logistical interventions and reduce externalities from freight activity. Hence, this study proposes a methodology for identifying LTGs and exploring their interactions on freight travel, expenditure pattern, shipment pattern, and other establishment characteristics. A decision-tree approach called chi-squared automatic interaction detector (CHAID) algorithm is used to map these interactions. Results suggest that LTGs are distinctly associated with multiple variables such as shipment size, shipper expenditure, commodity classification, and business age characteristics. Business age is the best predictor across all models. These associations vary based on LTG definitions. Implications of this study would augment the efforts on interlinking LTGs with urban freight demand modeling systems and enable sustainable city logistics initiatives and last mile delivery management.

ACS Style

Aitichya Chandra; Agnivesh Pani; Prasanta K. Sahu; Bandhan Bandhu Majumdar; Sushant Sharma. Identifying large freight traffic generators and investigating the impacts on travel pattern: A decision tree approach for last-mile delivery management. Research in Transportation Business & Management 2021, 100695 .

AMA Style

Aitichya Chandra, Agnivesh Pani, Prasanta K. Sahu, Bandhan Bandhu Majumdar, Sushant Sharma. Identifying large freight traffic generators and investigating the impacts on travel pattern: A decision tree approach for last-mile delivery management. Research in Transportation Business & Management. 2021; ():100695.

Chicago/Turabian Style

Aitichya Chandra; Agnivesh Pani; Prasanta K. Sahu; Bandhan Bandhu Majumdar; Sushant Sharma. 2021. "Identifying large freight traffic generators and investigating the impacts on travel pattern: A decision tree approach for last-mile delivery management." Research in Transportation Business & Management , no. : 100695.

Journal article
Published: 05 July 2021 in Research in Transportation Business & Management
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The promotion of electric vehicles is regarded as a critical aspect of government policy to transition towards a greener mobility system to reduce the pollution load from vehicular emission and deal with the challenges associated with future energy security for the transport sector. Motorized two-wheelers (M2W) are the popular means of personal mobility, and are accounting for nearly 32% of transportation-related greenhouse gas emissions in India. In this regard, replacing existing M2W with alternative fuelled vehicles such as the Electric Two-Wheelers (E2W) could significantly minimize the negative implications associated with the usage of M2W. Therefore, this study has attempted to identify and prioritize the key E2W specific attributes to propose necessary policy-level interventions for projecting E2W as an attractive alternative. Initially, an exhaustive set of twenty-three attributes influencing E2W-usage were identified from the literature. Subsequently, experts' opinions and users' perceptions on the importance of the identified attributes were captured and analyzed using appropriate Multi-Criteria-Decision-Making (MCDM) techniques. The Analytical Hierarchy Process (AHP) was used to analyze experts' opinions. The RIDIT (Relative to an Identified Distribution and Transformation) method was used to analyze users' perceptions. Finally, both sets of results are compared and combined to derive key E2W specific attributes based on their perceived importance by experts and users. Results indicate that the following attributes, namely, purchase cost and operation cost (Economy-related), range, top speed, battery-charging duration, and acceleration (Vehicle and battery-related), health benefits and reduction in tailpipe emission (User-perceived benefit-related), and charging infrastructure, and parking infrastructure (Transport infrastructure-related) are perceived as the key attributes influencing E2W in the typical Indian context. Based on the results, it is recommended that E2W with a longer range, higher speed, and faster acceleration rate could be promoted as a sustainable alternative to conventional M2W. The provision of adequate charging and parking infrastructure was critical for E2W usage in the Indian context.

ACS Style

Mallikarjun Patil; Bandhan Bandhu Majumdar. An investigation on the key determinants influencing electric two-wheeler usage in urban Indian context. Research in Transportation Business & Management 2021, 100693 .

AMA Style

Mallikarjun Patil, Bandhan Bandhu Majumdar. An investigation on the key determinants influencing electric two-wheeler usage in urban Indian context. Research in Transportation Business & Management. 2021; ():100693.

Chicago/Turabian Style

Mallikarjun Patil; Bandhan Bandhu Majumdar. 2021. "An investigation on the key determinants influencing electric two-wheeler usage in urban Indian context." Research in Transportation Business & Management , no. : 100693.

Journal article
Published: 25 April 2021 in Case Studies on Transport Policy
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The rapid urbanization and subsequent growth of Motorized Two-wheelers (M2W) have significant negative implications on the environment through increased pollution levels in India. Replacing M2W with alternative fueled vehicles such as Electric Two-wheelers (E2W) might significantly minimize pollution. In this regard, this study has attempted to identify and prioritize the set of key E2W specific attributes based on the prospective users' perception. Initially, a comprehensive set of E2W specific attributes influencing users' perception towards E2W usage were identified from the literature. A user-perception-based questionnaire on a standard five-point Likert scale was designed to elicit prospective users' perceptions on the identified E2W attributes. Hyderabad, an Indian metropolitan city, was selected as the case study city to demonstrate the methodology. The users' perception data was then evaluated with the Meta Ranking function; it evaluates the aggregated rankings of the attributes based on the rank aggregation of the results obtained from multiple Multi Criteria Decision Making (MCDM) methods. The results obtained from the analysis have revealed that among the economy-related attributes, purchase cost and operating cost are perceived as the key attributes. Similarly, range and top speed are found to be the key influencing attributes among the vehicle-related attributes. Among the infrastructure-related attributes, the charging infrastructure and the parking infrastructure were important attributes. Finally, among the user-perceived benefits related attributes, health benefits, and reduction in tailpipe emission were perceived to be significantly influencing the users. Results also indicated a significant influence of socio-economic parameters on users' perception towards E2W attributes. Based on research findings, a set of policy interventions are proposed for devising key strategies for making E2W a more attractive mode.

ACS Style

Mallikarjun Patil; Bandhan Bandhu Majumdar. Prioritizing key attributes influencing electric two-wheeler usage: A multi criteria decision making (MCDM) approach – A case study of Hyderabad, India. Case Studies on Transport Policy 2021, 9, 913 -929.

AMA Style

Mallikarjun Patil, Bandhan Bandhu Majumdar. Prioritizing key attributes influencing electric two-wheeler usage: A multi criteria decision making (MCDM) approach – A case study of Hyderabad, India. Case Studies on Transport Policy. 2021; 9 (2):913-929.

Chicago/Turabian Style

Mallikarjun Patil; Bandhan Bandhu Majumdar. 2021. "Prioritizing key attributes influencing electric two-wheeler usage: A multi criteria decision making (MCDM) approach – A case study of Hyderabad, India." Case Studies on Transport Policy 9, no. 2: 913-929.

Journal article
Published: 10 March 2021 in Sustainability
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Electric two-wheelers (E2W) can help de-carbonize transport in Indian cities. To promote E2W as an attractive alternative compared to the conventional two-wheelers, an investigation on prospective users’ choice decisions is necessary. This paper proposed a comprehensive methodology to evaluate the prospective users’ choice decision toward electric two-wheelers and related attributes in the Indian context. In this paper, attributes such as Operating Cost (OC) savings, top speed, range, charging duration, acceleration, and purchase cost were considered to design a Stated Preference (SP) survey to collect data from prospective E2W users in Hyderabad, India. Concurrently, multinomial logit (MNL) and random parameter logit (RPL) models are developed, and the willingness-to-pay (WTP) associated with each of the identified attributes was estimated. Additionally, the effect of socio-economic characteristics on prospective users’ choice decision was also assessed. Subsequently, a sensitivity analysis was carried out to estimate the relative influence of the attributes on an individual’s choice decision in terms of the shift in probability to choose alternatives with better attribute levels than the base alternative. The results revealed that top speed was perceived as the most important attribute influencing an individual’s choice decision, followed by acceleration and charging duration. Age, income, and journey time significantly influenced an individual’s perception toward E2W and related attributes in the Indian context.

ACS Style

Mallikarjun Patil; Bandhan Majumdar; Prasanta Sahu; Long Truong. Evaluation of Prospective Users’ Choice Decision toward Electric Two-Wheelers Using a Stated Preference Survey: An Indian Perspective. Sustainability 2021, 13, 3035 .

AMA Style

Mallikarjun Patil, Bandhan Majumdar, Prasanta Sahu, Long Truong. Evaluation of Prospective Users’ Choice Decision toward Electric Two-Wheelers Using a Stated Preference Survey: An Indian Perspective. Sustainability. 2021; 13 (6):3035.

Chicago/Turabian Style

Mallikarjun Patil; Bandhan Majumdar; Prasanta Sahu; Long Truong. 2021. "Evaluation of Prospective Users’ Choice Decision toward Electric Two-Wheelers Using a Stated Preference Survey: An Indian Perspective." Sustainability 13, no. 6: 3035.

Conference paper
Published: 29 August 2020 in Lecture Notes in Civil Engineering
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To plan the pedestrian infrastructure facilities, it is imperative to understand the pedestrian perception towards key critical attributes influencing sidewalk and crosswalk. However, a review of existing research literature suggests that evaluation of walkability of pedestrian infrastructure remain unexplored in a typical Indian setting. This paper addresses this research gap with respect to pedestrian infrastructure evaluation in Hyderabad, the capital of Telangana, a premier IT hub and a focal point for educational institutions, where a significant proportion of population uses walking for their daily commute needs. This paper demonstrates a user perception-based approach, proposed to identify and analyse the important factors of the urban environment that support or detract pedestrians from walking. In this study, initially, a brief literature review is taken up to identify a key set of parameters influencing the walkability of pedestrian infrastructure in typically Indian context. Then, user perceptions on these attributes are collected in a suitable five-point Likert scale. The collected data are then analysed based on grey relational analysis (GRA), a suitable multi-attribute decision making (MADM) technique to identify and prioritize the most important variables related to pedestrian walkability. Results indicate that safety and security are perceived as the most important parameters influencing pedestrian walkability.

ACS Style

Nikitha Vendoti; Bandhan Bandhu Majumdar; V. Vinayaka Ram; Sridhar Raju. A User Perception-Based Prioritization of Determinants of Walkability of Pedestrian Infrastructure Based on Multi-attribute Decision Making (MADM) Approach: An Indian Experience. Lecture Notes in Civil Engineering 2020, 551 -562.

AMA Style

Nikitha Vendoti, Bandhan Bandhu Majumdar, V. Vinayaka Ram, Sridhar Raju. A User Perception-Based Prioritization of Determinants of Walkability of Pedestrian Infrastructure Based on Multi-attribute Decision Making (MADM) Approach: An Indian Experience. Lecture Notes in Civil Engineering. 2020; ():551-562.

Chicago/Turabian Style

Nikitha Vendoti; Bandhan Bandhu Majumdar; V. Vinayaka Ram; Sridhar Raju. 2020. "A User Perception-Based Prioritization of Determinants of Walkability of Pedestrian Infrastructure Based on Multi-attribute Decision Making (MADM) Approach: An Indian Experience." Lecture Notes in Civil Engineering , no. : 551-562.

Conference paper
Published: 29 August 2020 in Lecture Notes in Civil Engineering
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Rapid urbanization and related motorization along with random development at the suburban level without adequate infrastructure have created several transport-related externalities such as (a) traffic injuries and fatalities, (b) congestion, (c) transportation-related air and noise pollution and d) mobility issues faced by poor in a typical urban Indian context. In this regard, the increased use of public transit (PT) system could be an effective demand-management instrument to mitigate the above-mentioned externalities. Although, bus is the most popular PT-mode across the nation, metro rail has emerged as an effective alternative during the recent past. Nevertheless, a successful metro rail system incorporates an efficient feeder system. The inadequate supply of feeder system for the metros, arising due to the absence of the necessary planning is consequently forcing the metro riders to stick to auto-rickshaws or private motorized vehicles like two wheelers, which in turn are polluting the environment. On the other hand, bicycle transportation, if planned and implemented with necessary measures, could be an effective, pollution free and cheaper feeder to metro in a typical Indian context. In this regard, this paper aims to propose a methodological framework to identify the key set of factors influencing bicycle a feeder or access transportation mode to metro by understanding the perception of bicyclists and non-bicyclists towards key attributes related to bicycle-metro integration.

ACS Style

Jay Panchal; Bandhan Bandhu Majumdar; V. Vinayak Ram; Sridhar Raju. Methodology to Identify a Key Set of Elements Influencing Bicycle-Metro Integration: A Case Study of Hyderabad, India. Lecture Notes in Civil Engineering 2020, 563 -575.

AMA Style

Jay Panchal, Bandhan Bandhu Majumdar, V. Vinayak Ram, Sridhar Raju. Methodology to Identify a Key Set of Elements Influencing Bicycle-Metro Integration: A Case Study of Hyderabad, India. Lecture Notes in Civil Engineering. 2020; ():563-575.

Chicago/Turabian Style

Jay Panchal; Bandhan Bandhu Majumdar; V. Vinayak Ram; Sridhar Raju. 2020. "Methodology to Identify a Key Set of Elements Influencing Bicycle-Metro Integration: A Case Study of Hyderabad, India." Lecture Notes in Civil Engineering , no. : 563-575.

Articles
Published: 18 June 2020 in Transportation Planning and Technology
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This paper contributes to the emerging literature on freight studies by identifying the optimal freight traffic analysis zone (FTAZ) system at which to conduct macro-level freight travel analysis. To arrive at the optimal scale, we develop alternate zone systems by grouping census wards with similar freight-related characteristics (industrial characteristics, commercial land use characteristics, locational characteristics and socio-demographic characteristics). The resultant zone systems are analysed at multiple geographic scales and the optimal scale of each zone system is determined by performing the Brown–Forsythe test. Results suggest that a 1:3 aggregation ratio (24–28 zones) is the optimal scale for Metropolitan FTAZs, whereas the publicly available ad-hoc zone system and prior literature on National FTAZs follow 1:10 aggregation. The study findings suggest that Metropolitan planning organizations need to reconsider their existing data collection strategy, consider a larger aggregation ratio and, by extension, adopt smaller zones to ensure that both local and global freight travel characteristics are captured in freight travel analyses.

ACS Style

Prasanta K. Sahu; Aitichya Chandra; Agnivesh Pani; Bandhan Bandhu Majumdar. Designing freight traffic analysis zones for metropolitan areas: identification of optimal scale for macro-level freight travel analysis. Transportation Planning and Technology 2020, 43, 620 -637.

AMA Style

Prasanta K. Sahu, Aitichya Chandra, Agnivesh Pani, Bandhan Bandhu Majumdar. Designing freight traffic analysis zones for metropolitan areas: identification of optimal scale for macro-level freight travel analysis. Transportation Planning and Technology. 2020; 43 (6):620-637.

Chicago/Turabian Style

Prasanta K. Sahu; Aitichya Chandra; Agnivesh Pani; Bandhan Bandhu Majumdar. 2020. "Designing freight traffic analysis zones for metropolitan areas: identification of optimal scale for macro-level freight travel analysis." Transportation Planning and Technology 43, no. 6: 620-637.

Articles
Published: 28 September 2019 in Transportation Letters
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This study has identified a comprehensive set of motivators and deterrents influencing bicycling in typical Indian context based on literature review. A travel intercept survey was conducted to collect user perceptions on the identified motivators and deterrents from Kharagpur and Asansol, two typical Indian cities. The collected data were analyzed for prioritization of the identified factors using two established Multi-Attribute-Decision-Making (MADM) approaches, namely, RIDIT and GRA. The rankings of the factors obtained are found to be consistent for both cities. Results reveal that among deterrents, ‘safety concern’ and ‘route visibility’ are perceived as strong deterrents to bicycling, whereas ‘parking fee’ is not perceived as a significant deterrent. Motivators such as ‘physical fitness,’ ‘environmental awareness,’ and ‘reliability’ are perceived to be more important than the low cost of bicycle travel, which contradicts a wildly held perception that the relatively lower cost of bicycle travel is the primary motivator for bicycling.

ACS Style

Bandhan Bandhu Majumdar; Sudeshna Mitra; Parag Pareekh. On identification and prioritization of motivators and deterrents of bicycling. Transportation Letters 2019, 12, 591 -603.

AMA Style

Bandhan Bandhu Majumdar, Sudeshna Mitra, Parag Pareekh. On identification and prioritization of motivators and deterrents of bicycling. Transportation Letters. 2019; 12 (9):591-603.

Chicago/Turabian Style

Bandhan Bandhu Majumdar; Sudeshna Mitra; Parag Pareekh. 2019. "On identification and prioritization of motivators and deterrents of bicycling." Transportation Letters 12, no. 9: 591-603.