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Öğe ASSIST-ME postprocessing tool for transportation planning model output(Sage Publications Inc, 2013) Özbay, Kaan; Bartın, Bekir; Mudigonda, Sandeep; Iyer, ShrisanThis paper presents Advanced Software for Statewide Integrated Sustainable Transportation System Monitoring and Evaluation (ASSIST-ME), an application for visualizing and analyzing the output of transportation planning models in a geographic information system environment. ASSIST-WEE was developed on a customized version of the AreGIS 9.2 Developer Engine in the Microsoft .NET Framework. The tool is built on a flexible framework that allows for adoption of any traditional transportation planning model, as demonstrated with the output of two major transportation planning models on different software platforms: the New York Best Practice Model, running in TransCAD, and the North Jersey Regional Transportation Model-Enhanced, running in CUBE. ASSIST-ME allows agencies and planners to easily work with transportation planning model output, analysis of which is often time-consuming and requires extensive training. It offers four key functionalities: data visualization, demand analysis, path analysis, and benefit-cost analysis. Data visualization and demand analysis enable the user to work easily with direct model output; the custom path and cost analysis tools support analyses beyond those possible with other software packages. The benefit-cost analysis functions utilize the latest quantification-monetization approaches employed in research and by government agencies and require no external applications or procedures. This process can be used for any planning scenario, but ASSIST-ME also allows for customization to modify input data or analysis procedures according to the user's needs. ASSIST-ME incorporates data visualization, data analysis, and output reporting functionalities in a single user-friendly setting that requires minimal training or knowledge of the models themselves.Öğe Empirical evacuation response curve during hurricane Irene in Cape may county, New Jersey(Sage Publications Inc, 2013) Li, Jian; Özbay, Kaan; Bartın, Bekir; Iyer, Shrisan; Carnegie, Jon A.Understanding evacuation response behavior is critical for public officials in deciding when to issue emergency evacuation orders for an impending hurricane. Such behavior is typically measured by an evacuation response curve that represents the proportion of total evacuation demand over time. This study analyzes evacuation behavior and constructs an evacuation response curve on the basis of traffic data collected during Hurricane Irene in 2011 in Cape May County, New Jersey. The evacuation response curve follows a general S-shape with sharp upward changes in slope after the issuance of mandatory evacuation notices. These changes in slope represent quick response behavior, which may be caused in part by an easily mobilized tourist population, lack of hurricane evacuation experience, or the nature of the location, in this case a rural area with limited evacuation routes. Moreover, the widely used S-curves with different mathematical functions and the state-of-the-art behavior models are calibrated and compared with empirical data. The results show that the calibrated S-curves with logit and Rayleigh functions fit empirical data better. The evacuation behavior analysis and calibrated evacuation response models from this hurricane evacuation event may benefit evacuation planning in similar areas. In addition, traffic data used in this study may also be valuable for the comparative analysis of traffic patterns between the evacuation periods and regular weekdays and weekends.Öğe Review and assessment of the New Jersey freight assistance program(Elsevier Sci Ltd, 2019) Özbay, Kaan; Bartın, Bekir; Allen, W. Bruce; Iyer, Shrisan; Robins, Martin; Weiner, Marc; Nassif, HaniClass III railroads, also called "short line railroads" are crucial to economic activity and transport of goods. The private and social benefits of maintaining short line railroads is well-established in the literature, yet the cost of doing so is often prohibitive for short line operators. Thus, several assistance programs have been established, most of which are operated by the state departments of transportation. This review of these programs indicated that there is no unique methodology for administering rail freight assistance programs and evaluating applications submitted for funding, and that most of them lack clear administrative details such as published project criteria, ranking procedure and post evaluation requirements. The objectives of this paper are to present a comprehensive review of the New Jersey rail grants program, identify the shortcomings of its evaluation process and provide recommendations for improving the program's project selection criteria and application ranking. It is found that the current scores used in the evaluation process cannot always clearly differentiate between applications for funding. To that end, using the results of a targeted survey of experts, an adjustment to the current review criteria and the corresponding scores is suggested for implementation.