@article{hasnat_bardaka_samandar_2023, title={Differential impacts of autonomous and connected-autonomous vehicles on household residential location}, volume={32}, ISSN={["2214-3688"]}, DOI={10.1016/j.tbs.2023.02.007}, abstractNote={High market penetration of autonomous vehicles (AVs) and connected-autonomous vehicles (CAVs) is expected to impact transportation network performance, which is an important determinant of residential location decisions, especially for households who commute to work by personal vehicle. This study examines and compares the impacts of privately owned AVs and CAVs on the location and commute characteristics as well as the spatial distribution of households within the Triangle Region in North Carolina. A Mixed Multinomial Logit model is developed using recent household survey data to capture household preferences. In addition, the region's travel demand model, the Triangle Regional Model, is used to predict the network-level impacts of AV and CAV adoption, and cluster analysis is conducted to explore how network performance changes vary with transportation demand and supply zone characteristics at a local and regional level. Residential location patterns are predicted for a number of AV and CAV scenarios for the year 2045 using the outputs of the econometric analysis and the Triangle Regional Model. We find that extensive adoption of private CAVs improves network conditions and encourages households to live farther from work, leading up to a 5.6% increase in suburban and rural households that commute to work by personal vehicles. A high market share of AVs is associated with deteriorated transportation network performance and up to a 2.8% increase in urban households. Results vary by market penetration rate of each technology, mix of AVs, CAVs, and human driven vehicles in the traffic stream, and fuel type (conventional-fuel versus electric vehicles).}, journal={TRAVEL BEHAVIOUR AND SOCIETY}, author={Hasnat, Md Mehedi and Bardaka, Eleni and Samandar, M. Shoaib}, year={2023}, month={Jul} }
 @article{hasnat_bardaka_2022, title={Distribution of Highway Infrastructure Cost Responsibility and Revenue Contribution Shares Among Highway Users in North Carolina: Present Conditions and Future Alternatives}, volume={8}, ISSN={["2169-4052"]}, url={https://doi.org/10.1177/03611981221112403}, DOI={10.1177/03611981221112403}, abstractNote={ As the proportion of fuel-efficient and electric vehicles is rapidly increasing, US states are challenged to meet the greater needs of the aging transportation infrastructure with less funds. The purpose of this study is to support state authorities in understanding the equity implications, feasibility, and effectiveness of many of the currently available transportation funding mechanisms. To fulfill this objective, the study analyzes data from North Carolina (NC) between 2014 and 2017. As a first step, we estimate and compare the transportation infrastructure cost responsibility and revenue contribution of NC highway users. Results indicate that lightweight vehicles contribute substantially more to the revenue compared with their share of cost responsibilities. Single-unit trucks with four or more axles and multi-unit trucks are found to underpay their cost responsibilities by 37% to 92%. We use these results in combination with previous research to assess different scenarios for funding transportation infrastructure in the future. Each alternative is evaluated for its revenue generation potential, equity-related improvements, applicability, and public acceptance. Findings suggest that a moderate increase in traditional taxes such as motor fuels tax, vehicle sales tax, or the state sales tax are practical and reasonable approaches for generating significant additional revenue in the short run without strong opposition from the public. However, all the scenarios analyzed by this study, which are based on tax and fee structures planned or implemented in the USA, are found to have minor impacts in improving equity between the cost responsibility and revenue contribution across vehicle classes. }, journal={TRANSPORTATION RESEARCH RECORD}, author={Hasnat, Md Mehedi and Bardaka, Eleni}, year={2022}, month={Aug} }
 @article{hasnat_bardaka_2022, title={Exploring the efficacy of traditional and alternative funding mechanisms to provide transportation revenue during the COVID-19 pandemic}, volume={10}, ISSN={["2213-6258"]}, DOI={10.1016/j.cstp.2022.04.010}, abstractNote={Steep reduction in motor vehicle travel during the COVID-19 pandemic has plummeted the fuel sales affecting the revenue streams of state Departments of Transportation (DOTs) across the US. The objective of this study is to investigate the effectiveness of a number of user-based and general revenue generation mechanisms in reducing the transportation revenue shortfall or providing more stable revenue during a pandemic. State policies and pilot programs as well as public perception studies are reviewed to develop reasonable scenarios of tax and fee schemes, and price elasticity estimates are used to account for the effect of higher travel cost on demand for travel. We specifically focus on the adverse impacts of the COVID-19 pandemic on the transportation revenue in North Carolina (NC) using data from January to October 2020. The results indicate that monthly transportation revenue in NC could not have been sustained by increasing the state motor fuels tax up to 50% or motor vehicle fees up to 100%. On the other hand, increasing the highway use tax (state vehicle sales tax) from 3% to 8% would have eliminated the monthly shortfall in the state transportation revenue. Replacing the state fuels tax by mileage-based user fees could not bridge the gap between the monthly collected and projected state transportation revenue, even for high per-mile charges for passenger vehicles and trucks. Promising results are found for instituting an additional 0.75% state sales tax dedicated to general transportation use which could have provided adequate funding to eliminate the monthly shortfall in transportation revenue in NC during the COVID-19 pandemic. Dependence on state sale and use tax for transportation revenue is preferred and would lead to a lower shortfall compared to the motor fuels tax in a pandemic.}, number={2}, journal={CASE STUDIES ON TRANSPORT POLICY}, author={Hasnat, Md Mehedi and Bardaka, Eleni}, year={2022}, month={Jun}, pages={1249–1261} }
 @article{hasnat_bardaka_samandar_rouphail_list_williams_2021, title={Impacts of Private Autonomous and Connected Vehicles on Transportation Network Demand in the Triangle Region, North Carolina}, volume={147}, ISSN={["1943-5444"]}, url={https://doi.org/10.1061/(ASCE)UP.1943-5444.0000649}, DOI={10.1061/(ASCE)UP.1943-5444.0000649}, abstractNote={Abstract Autonomous and connected vehicle technologies have the potential to bring profound changes in travel behavior and transportation network performance with moderate to significant market pen...}, number={1}, journal={JOURNAL OF URBAN PLANNING AND DEVELOPMENT}, publisher={American Society of Civil Engineers (ASCE)}, author={Hasnat, Md. Mehedi and Bardaka, Eleni and Samandar, M. Shoaib and Rouphail, Nagui and List, George and Williams, Billy}, year={2021}, month={Mar} }
 @article{hasnat_faghih-imani_eluru_hasan_others_2019, title={Destination choice modeling using location-based social media data}, volume={31}, journal={J. Choice Model}, author={Hasnat, Md Mehedi and Faghih-Imani, Ahmadreza and Eluru, Naveen and Hasan, Samiul and others}, year={2019}, pages={22–34} }
 @article{hasnat_islam_hadiuzzaman_2018, title={EMERGENCY RESPONSE DURING DISASTROUS SITUATION IN DENSELY POPULATED URBAN AREAS: A GIS BASED APPROACH}, volume={13}, ISSN={["2065-4421"]}, DOI={10.21163/GT_2018.132.06}, abstractNote={Geographical Information System (GIS) has widely been used in various steps of emergency management to contain the damages during any natural or manmade disasters within limit. This study presents how effectively GIS can be used for emergency management for one of the most densely populated areas of Dhaka, the capital of Bangladesh. With the first-hand baseline information from field survey an optimum route model has been proposed to represent the travel time of road network in congested scenario. The vulnerable parts of the study area are exposed based on emergency response time of firefighting stations and medical facilities, and distance from evacuation points. Some emergency response units have been suggested to enhance the disaster preparedness of the study area. Furthermore, the state of practice spatial analyses method presented in this study can be utilized in different spatial scales especially in regard to developing countries. Key-words: Disaster response, Spatial analysis, Emergency management, Network analysis, ArcGIS.}, number={2}, journal={GEOGRAPHIA TECHNICA}, author={Hasnat, Md Mehedi and Islam, Md Rakibul and Hadiuzzaman, Md}, year={2018}, month={Oct}, pages={74–88} }
 @article{hasnat_hasan_2018, title={Identifying tourists and analyzing spatial patterns of their destinations from location-based social media data}, volume={96}, journal={Transportation Research Part C: Emerging Technologies}, publisher={Elsevier}, author={Hasnat, Md Mehedi and Hasan, Samiul}, year={2018}, pages={38–54} }
 @article{hadiuzzman_das_hasnat_hossain_rafee musabbir_2017, title={Structural equation modeling of user satisfaction of bus transit service quality based on stated preferences and latent variables}, volume={40}, number={3}, journal={Transportation Planning and Technology}, publisher={Taylor & Francis}, author={Hadiuzzman, Md and Das, Tanmay and Hasnat, Md Mehedi and Hossain, Sanjana and Rafee Musabbir, Sarder}, year={2017}, pages={257–277} }
 @article{islam_hadiuzzaman_banik_hasnat_musabbir_hossain_2016, title={Bus service quality prediction and attribute ranking: a neural network approach}, volume={8}, number={2}, journal={Public transport}, publisher={Springer}, author={Islam, Md Rokibul and Hadiuzzaman, Md and Banik, Rajib and Hasnat, Md Mehedi and Musabbir, Sarder Rafee and Hossain, Sanjana}, year={2016}, pages={295–313} }