Defining the Resolution of a Network for Transportation Analyses: a New Method to Improve Transportation Planning Decisions

Travel demand models are important tools used in the analysis of transportation plans, projects, and policies. The modeling results are useful for transportation planners making transportation decisions and for policy makers developing transportation policies. Defining the level of detail (i.e., the number of roads) of the transport network in consistency with the travel demand model’s zone system is crucial to the accuracy of modeling results. However, travel demand modelers have not had tools to determine how much detail is needed in a transport network for a travel demand model. This dissertation seeks to fill this knowledge gap by (1) providing methodology to define an appropriate level of detail for a transport network in a given travel demand model; (2) implementing this methodology in a travel demand model in the Baltimore area; and (3) identifying how this methodology improves the modeling accuracy. All analyses identify the spatial resolution of the transport network has great impacts on the modeling results. For example, when compared to the observed traffic data, a very detailed network underestimates traffic congestion in the Baltimore area, while a network developed by this dissertation provides a more accurate modeling result of the traffic conditions. Through the evaluation of the impacts a new transportation project has on both networks, the differences in their analysis results point out the importance of having an appropriate level of network detail for making improved planning decisions. The results corroborate a suggested guideline concerning the development of a transport network in consistency with the travel demand model’s zone system. To conclude this dissertation, limitations are identified in data sources and methodology, based on which a plan of future studies is laid out.

The New Jersey Meadowlands: Inhabiting an Urban Wilderness

The New Jersey Meadowlands is a thirty square mile industrial wetland between New York City and the commercial district of East Rutherford, NJ. The place is both strange and fascinating; many mysteries are hidden between the reed grasses and scattered garbage. Often exposed to subjectivity, the Meadowlands is commonly perceived as a weird, polluted, industrial, and even an other-worldly space; few know its beauty. These differing perceptions create a challenge when thinking of a cohesive identity and sense of place in the marsh. Over time, the once pure landscape has suffered from infrastructural slices, illegal dumping, and environmental abuse, resulting in fragmented land areas along the Hackensack River’s edge. This thesis explores how to inhabit an ecologically devalued and residual landscape through ideas of place-making and re-connecting communities. Investigating the paradox of this massive urban landscape and capitalizing on the ecological and educational potential of the site, lends also to a challenge of converging modern and forgotten life. Designing a place-based ecological research community within this currently placeless environment, will engage the public, re-connect lost communities, and bring a sense of renewal to the marsh.