DEVELOPING OPTIMAL TRANSPORTATION ANALYSIS ZONES USING GIS

Wende A O'Neill

34 citations0/0 files stored

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Transportation Planning and Optimization Urban Transport and Accessibility Urban Transport Systems Analysis

Abstract

The Urban Transportation Planning Process (UTPP) involves the sequential tasks of defining a study area and predicting travel demand for the study area. Since the amount of travel demand estimated is a function of the definition of the study area, an iterative travel demand estimation procedure is proposed utilizing Geographic Information Systems (GIS) to analyze disaggregate socio-economic and land-use data in order to form optimal transportation analysis zones. Benefits of this approach include standardization of network building tasks as well as provision of a mechanism that facilitates network modification caused by changes in data over time.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 34 citations exist upstream.

References

1990USE OF GEOGRAPHICAL INFORMATION SYSTEMS IN TRANSPORTATION MODELING

Cited by

1999Potential Contributions of Spatial Analysis to Geographic Information Systems for Transportation (GIS‐T)2000Development of a transit network from a street map database with spatial analysis and dynamic segmentation 2020Aggregation, disaggregation and decomposition methods in traffic assignment: historical perspectives and new trends 1996A hybrid travel demand model with GIS and expert systems 1994Integrating Transportation Planning Models with GIS: Issues and Prospects 1998What transportation modeling needs from a GIS: a conceptual framework 2018The impact of ignoring intrazonal trips in assignment models: a stochastic approach 2014Traffic zone division using mobile billing data

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.