Sevgi Erdogan

Syracuse University | SU · School of Information Studies

Introduction The inter-relationship between physical activity and health is well-documented in transportation and public health literature. Nevertheless, health impacts are rarely considered in transportation planning processes due to the lack of a robust mechanism to quantify such impacts. The Integrated Transport and Health Impact Modeling (ITHIM...

The paper addresses a critical research gap in the literature by focusing on the identification of service areas for microtransit. It presents a framework for identifying areas that would have a higher potential for success. The primary objective is to assist agencies in their efforts to provide microtransit services by offering a robust and flexib...

Problem, research strategy, and findings: Planners today are confronted with unprecedented uncertainty in economic, political, and technological environments, especially at the regional scale. An increasingly common approach to addressing such uncertainty is exploratory scenario analysis. To provide new insights into the methods and utility of such...

Following a federal policy statement in 2010 supporting bicycle and pedestrian accommodation in federal-aid transportation projects, many cities across the US have implemented Complete Streets principles and invested in developing better-planned infrastructure that can be safely accessed by a diversity of modes of transportation by all types of use...

The paper presents a framework that can be followed by transportation agencies in their decision-making process for identifying areas that would be feasible for providing microtransit service. The primary objective of the paper is to help agencies in their microtransit service provision efforts by providing a robust and flexible decision-making fra...

This paper introduces an innovative way to incentivize increased person throughput on priced highway facilities such as toll roads, express toll lanes, and high-occupancy toll (HOT) lanes, using cash rewards for carpoolers and transit riders. An exploratory evaluation of the concept is demonstrated for the I-66 HOT facility inside the Capital Beltw...

For transportation authorities, understanding commuters’ travel behavior is key to manage travel demand, coordinate the multimodal transportation system, and provide adequate and equitable mobility to all. It is particularly vital to investigate into shifts in commuting patterns during the unprecedented COVID-19 pandemic when offices and businesses...

The Complete Streets (CS) concept has increasingly been adopted by urban and transportation planning agencies to strengthen the balance between safety and mobility of all roadway users by developing context sensitive solutions that support pedestrian, bicycle, ADA and transit accessibility. The benefits and success of CS projects depend on future d...

In this paper, we apply an optimization-based approach to locate electric vehicle (EV) fast charging stations that prioritize the deployment of stations considering the designated EV corridors. A designated corridor is a segment of a highway selected for EV charging infrastructure deployment to increase the adoption of EVs. We formulate the problem...

Natural or man-made hazards that require evacuation put already vulnerable populations in a more precarious situation. However, when plans and decisions about evacuation are made, the assumption of access to a private car is typically made and differences in income levels across a community is rarely accounted for. The result is that carless member...

The technologies and models linking individual vehicle control and network operations, despite their critical role in determining whether automated vehicle (AV) technologies can eventually evolve to massive real-world deployments, seem to be an under-represented topic at the Automated Vehicles Symposium (AVS) in the past years. This chapter documen...

The proliferation of micromobility, evolving from station-based to dockless bikeshare programs, has dramatically accelerated since 2017 with an influx of investment from the private sector to a new product, dockless e-scooter share. As an alternative to pedal bikes, e-scooters have become widespread across the U.S.A. owing to the unprecedented conv...

This study developed an approximate analytical model to design feeder bus transit (e.g. shuttle bus, minivan) services along a trunk line (e.g. metro rail and light rail) whose stations and line alignment are pre-determined. Specifically, an optimization model is developed to identify the density and frequency of feeder bus services that minimizes...

This study aimed to develop a model to estimate the impacts of zero-emission vehicle (ZEV) adoption on CO 2 emissions and to evaluate efficacy of ZEV deployment strategies in achieving greenhouse gas (GHG) emission reduction goals. We proposed a modeling scheme to represent ZEVs in four-step trip-based travel demand models. We then tested six ZEV s...

This report presents the result of an exploratory scenario analysis of the Baltimore- Washington region using an integrated set of advanced transportation, land use, and environmental models.

Under worldwide environmental stress, zero-emission vehicles (ZEV) are rapidly coming to market. However, it is not clear how such vehicles reduce vehicular emissions at a spatially explicit level, which is crucial for developing specific policies. This study proposes a quantitative approach to estimate the effectiveness of ZEVs in reducing emissio...

Fast and Intertwined Regular (FAIR) highway had been proposed as a road pricing concept that distributes credits to the low-income commuters. The paper models the FAIR highway operations considering the heterogeneity of commuters and lane-by-lane variations. A bilevel programming framework is established to concurrently model the FAIR operator’s pr...

This paper examines the effectiveness of two transit station-area development policies, park-and-ride (PNR) and transit-oriented development (TOD), by integrating a households’ residential relocation model with a conventional four-step travel demand model. Scenarios are designed on an experimental network with a single candidate metro station to as...

This paper presents development steps, results and the lessons learned from an application of volume-delay functions-based dynamic network model on the Maryland Statewide Transportation Model (MSTM) project. The MSTM was developed to analyze traffic issues throughout the state including traffic in rural areas, freight movements and travel between t...

Bicycle-sharing programs have emerged around the world. Theoretically, the effect of bicycle sharing on more conventional transit modes can take a substitute or complementary form. On one hand, bicycle sharing could substitute for conventional transit as a convenient and sustainable travel option. On the other hand, bicycle sharing may complement s...

The specific problem that this research project addresses is to identify how an agency can include a value of travel time reliability (VTTR) in a benefit-cost analysis when making congestion reduction-related project investment decisions. This project builds on the experiences of the Maryland State Highway Administration (SHA) and their on-going ef...

This report presents development steps, results and the lessons learned from an application of a volume-delay functions-based dynamic network model to the Maryland Statewide Transportation Model (MSTM). The MSTM was developed to analyze traffic issues throughout the state including traffic in rural areas, freight movements and travel between the Ba...

The cost of travel, which depends largely on fuel prices, can have a significant effect on the allocation of land use, the amount of travel, selected modes, and route choice. With the volatility of energy prices during the past several decades, the growing instability of energy supply—both domestic and foreign—and ever-growing demand, it is difficu...

The State of Maryland aims to double its transit ridership by the end of 2020. The Maryland Statewide Transportation Model (MSTM) has been used to analyze different policy options at a system-wide level. Direct ridership models (DRMs) estimate ridership as a function of station environment and transit service features rather than using mode-choice...

This paper studies demand for ridesharing in a university campus context, where authorities are planning to introduce programs aiming at reducing carbon-intensive travel activity. Following a descriptive analysis of a commuter survey data, ordered probit models are developed to investigate interest in ridesharing. The model results show that partic...

This paper proposes the notion of anticipatory (dynamic) pricing, and investigates the advantages of using predicted traffic conditions over the use of prevailing and/or historical conditions in setting time-varying link tolls along a freeway corridor to maintain target level of service (LOS) and avoid traffic breakdown on toll links. This is accom...

The transportation sector is a significant contributor to current global climatic problems, one of the most prominent problems that today’s society faces. In this dissertation, three complementary problems are addressed to support emissions reduction efforts by providing tools to help reduce demand for fossil fuels. The first problem addresses alte...

Subarea analysis capability is needed in conjunction with dynamic network analysis models to allow consideration and rapid evaluation of a large number of scenarios and to support transportation network planning and operations decisions for situations that may not require analysis on a complete network representation. With a focus on how to provide...

The analytic hierarchy process can be used for group decision making by aggregating individual judgments or individual priorities. The most commonly used aggregation methods are the geometric mean method and the weighted arithmetic mean method. While it is known that the weighted geometric mean comparison matrix is of acceptable consistency if all...

Subarea analysis capability is needed in conjunction with dynamic network analysis models to allow consideration and rapid evaluation of a large number of scenarios and to support transportation network planning and operations decisions for situations that may not require analysis on a complete network representation. With a focus on how to provide...

Substantial development in Dynamic traffic assignment (DTA) methods has resulted in a new generation of applicable DTA-based tools for operational planning and evaluation of ITS deployment. However, the computational intensiveness of simulation-based DTA methodologies places limitations on the application of such tools to large-scale networks. To a...