Khandker Nurul Habib

ORCID: 0000-0003-1007-6706
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About
Contact & Profiles
Research Areas
  • Urban Transport and Accessibility
  • Transportation Planning and Optimization
  • Transportation and Mobility Innovations
  • Economic and Environmental Valuation
  • Human Mobility and Location-Based Analysis
  • Urban and Freight Transport Logistics
  • Housing Market and Economics
  • Traffic and Road Safety
  • Consumer Retail Behavior Studies
  • Urban, Neighborhood, and Segregation Studies
  • Sharing Economy and Platforms
  • Smart Parking Systems Research
  • Spatial and Panel Data Analysis
  • Consumer Market Behavior and Pricing
  • Aviation Industry Analysis and Trends
  • Energy, Environment, and Transportation Policies
  • Regional Economics and Spatial Analysis
  • Traffic Prediction and Management Techniques
  • Older Adults Driving Studies
  • Homelessness and Social Issues
  • Obesity, Physical Activity, Diet
  • Human-Automation Interaction and Safety
  • COVID-19 epidemiological studies
  • Decision-Making and Behavioral Economics
  • Urban and Rural Development Challenges

University of Toronto
2015-2024

Toronto Metropolitan University
2023

University of Alberta
2008-2010

Canadian Natural Resources
2008-2010

10.1016/j.tra.2007.10.004 article EN Transportation Research Part A Policy and Practice 2007-12-01

The goal of this study is to develop and apply a new method for assessing social equity impacts distance-based public transit fares. Shifting fare structure can disproportionately favor or penalize different subgroups population based on variations in settlement patterns, travel needs, most importantly, use. According federal law, such disparities must be evaluated by the agency, but area-based techniques identified Federal Transit Authority discrimination fail account distances travelled...

10.1016/j.tra.2014.07.013 article EN cc-by-nc-nd Transportation Research Part A Policy and Practice 2014-08-24

The advent of the autonomous vehicle (AV) will affect not only transportation system, but also future patterns land development. Integrated use and models be critical tools in assessing path forward with this technology. Key questions respect to impacts AVs arise from potential changes sensitivity travel reduced demand for parking. It is an open question whether induce urban sprawl, or spatial economies agglomeration mitigate any reductions time sensitivity. deployment shared fleets would...

10.1080/01441647.2018.1449033 article EN Transport Reviews 2018-03-12

10.1016/j.tra.2021.02.002 article EN Transportation Research Part A Policy and Practice 2021-02-19

SUMMARY This paper presents a critical investigation of reasons for using transit by residents the City Calgary, Canada. Reasons are expressed as functions people's perceptions and attitudes towards service quality attributes. A multinomial logit model combined with latent variable models is developed to capture unobserved variables in defining attitudes. Using data from customer satisfaction survey conducted 2007 Calgary Transit, this approach choosing tests significance two individual...

10.1002/atr.106 article EN Journal of Advanced Transportation 2010-07-12

10.1016/j.tra.2011.09.012 article EN Transportation Research Part A Policy and Practice 2011-10-11

The COVID-19 pandemic had an unprecedented impact on transit usage, primarily owing to the fear of infection. Social distancing measures, moreover, could alter habitual travel behavior, for example, using commuting. This study explored relationships among fear, adoption protective changes in and anticipated usage post-COVID era, through lens protection motivation theory. Data containing multidimensional attitudinal responses about at several stages were utilized investigation. They collected...

10.1177/03611981211065439 article EN cc-by Transportation Research Record Journal of the Transportation Research Board 2022-02-21

Smart card fare collection systems for public transit produce a huge quantity of data on daily basis. The ability to follow the use single throughout months gives opportunity measuring loyalty individual service. Then, operators can have quantitative knowledge in their network. However, it is also important know what are factors that influence survival users. This paper presents application discrete time hazard model 5 years medium-size authority Canada. concept relates fact probability...

10.1139/l2012-048 article EN Canadian Journal of Civil Engineering 2012-06-01
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