Transit Route Design Applications Using Geographic Information Systems

Ramírez, Ana I.; Seneviratne, P N

doi:10.3141/1557-02

Cited by 24 publications

(8 citation statements)

References 2 publications

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“…The same mapping system has been generated and utilized in several publications Kim, Brunner, & Yamashita, 2006;Kim, Uyeno, Yamashita, & Brunner, 2011). As a comparison, a larger 0.25-square mile grid map system has been used in analyzing bus transit system in Logan, Utah (Ramirez & Seneviratne, 1996), and south Placer County, California (Milam & Luo, 2008). The use of relatively small size cell grid is very important for the analysis of transit involving human movements.…”

Section: Development Of Grid Mapmentioning

confidence: 99%

Agent Based Model in SAS Environment for Rail Transit System Alignment Determination

Brunner

2018

JWL

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Abstr act: Transit system had been proposed for the urban area of Honolulu. One consideration to be determined is the alignment of the transit system. Decision to set the transit alignment will have influences on which areas will be served, who will be benefiting, as well as who will be impacted. Inputs for the decision usually conducted through public meetings, where community members are shown numbers of maps with pre-set routes. That approach could lead to a rather subjective decision by the community members. This paper attempts to discuss the utilization of grid map in determining the best alignment for rail transit system in Honolulu, Hawaii. It tries to use a more objective approach using various data derived from thematic maps. Overlaid maps are aggregated into a uniform 0.1-square mile vector based grid map system in GIS environment. The large dataset in the GIS environment is analyzed and manipulated using SAS software. The SAS procedure is applied to select the location of the alignment using a rational and deterministic approach. Grid cells that are superior compared to the others are selected based on several predefined criteria. Location of the dominant cells indicates possible transit alignment. The SAS procedure is designed to allow a transient vector called the GUIDE (Grid Unit with Intelligent Directional Expertise) agent to analyze several cells at its vicinity and to move towards a cell with the highest value. Each time the agent landed on a cell, it left a mark. The chain of those marks shows location for the transit alignment. This study shows that the combination of ArcGIS and SAS allows a robust analysis of spatial data and manipulation of its datasets, which can be used to run a simulation mimicking the Agent-Based Modelling. This study also opens up further study possibilities by increasing number of factors analyzed by the agent, as well as creating a composite value of multi-factors.

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Section: Development Of Grid Mapmentioning

confidence: 99%

Agent Based Model in SAS Environment for Rail Transit System Alignment Determination

Brunner

2018

JWL

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“…The notion of a service standard is central to most GIS-based transit studies. Typically, people are assumed to be served by bus transit if they are within 0.25 miles (400 m) of either a route or stop (Murray, 2001;Peng et al, 1997;Ramirez and Seneviratne, 1996). Service standards can be implemented in GIS in order to delineate the geographic locations served by transit.…”

Section: Service Standards Gis and Bus Transit Modelingmentioning

confidence: 99%

“…

IntroductionThere has been much research over the past decade conducted on the service and performance of bus transit systems. Studies have developed methods for transit-stop placement (Furth and Rahbee, 2000), estimating ridership (Peng et al, 1997), designing transit routes (Ramirez and Seneviratne, 1996), and determining access via transit (O'Sullivan et al, 2000), among others. Geographic information systems (GIS) are increasingly being utilized in bus transit research because of their ability to manage, display, and analyze requisite spatial data (Miller, 1999;Nyerges, 1995).Planning, policy evaluation, and decisionmaking often require an estimate of the population served by transit (Murray et al, 1998).

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confidence: 99%

Spatial Representation and Scale Impacts in Transit Service Assessment

Horner

Murray

2004

Environ Plann B Plann Des

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There has been much research over the past decade on aspects of bus-transit-system service and performance. Common to studies is the necessity that the population served by systems be estimated. Usually this entails delineating areas for which demand is covered through the use of geographic information systems (GIS), as well as deciding on how best to represent potential ridership spatially. However, little attention has been paid to spatial issues inherent in these choices. Research has emphasized the modeling of transit problems using GIS rather than giving explicit attention to the spatial considerations underlying analyses. To this end, we investigate issues of spatial representation in transit studies. A GIS-based analysis of bus transit for a small urban municipality is utilized to highlight that estimates of service coverage are sensitive to the choice of areal units representing ridership (scale), whether individual stops or routes are used to determine access, and how network versus Euclidean distances affect estimates. As such, spatial representation and modeling sensitivity are evaluated in the context of transit-service provision. The study results suggest that representation issues are critical in evaluating transit access in the context of planning and policy development using GIS.

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“…Spatial interaction between land use and transportation is an ever-developing concept since the literature about the scope is not fully formed yet (Geurs, Ritsema van Eck 2001). Accessibility is a vital parameter of land use and transportation interaction, however it is still evolving.…”

Section: Introductionmentioning

confidence: 99%

“…Even if there are several studies regarding the definition of the accessibility; the basic spine of the concept is similar in terms of components, measures and perspectives (Gulhan et al 2013). Land-use, transportation, temporal and individual components are the main elements of accessibility components that planners utilize and specify as an origin for getting into accessibility measures (Geurs, Ritsema van Eck 2001). Infrastructure-based, personbased, Utility-Based Accessibility (UBA) and the Potential Accessibility (PA) measures have been improved to determine the performance of accessibility (Geurs, Van Wee 2004).…”

Section: Introductionmentioning

confidence: 99%

Using accessibility measures in transit network design

Gülhan

Ceylan

2017

Transport

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Transit planning scenarios may lead to the different Objective Function (OF) values since each scenario has different transit travel times, frequencies and fleet sizes. Change on those variables leads to the different accessibility values for each route set. Therefore, the actual performance of a route set may be unforeseen since the accessibility values are out of evaluation criteria. This study tries to generate techniques, which handle the relation between accessibility and transportation in the scope of public transit. The accessibility measures, which have direct relation with land use and transportation, are utilized in transit route set decision. Accessibility measures have been utilized in the decision-making process of transit network design. Conventional OFs, which are used to determine the most effective route sets are combined with accessibility based OFs and the decision-making process of transit network design is strengthened. In this context, the effects of accessibility measures in decision-making process of transit network design have been represented on an 8-node example transit network. The results showed the accessibility measures could effectively improve the planners’ decision accuracy.

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Transit Route Design Applications Using Geographic Information Systems

Cited by 24 publications

References 2 publications

Agent Based Model in SAS Environment for Rail Transit System Alignment Determination

Agent Based Model in SAS Environment for Rail Transit System Alignment Determination

Spatial Representation and Scale Impacts in Transit Service Assessment

Using accessibility measures in transit network design

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