Abstract
A green transportation system composed of transit, busses and bicycles could be a significant in alleviating traffic congestion. However, the inaccuracy of current transit ridership forecasting methods is imposing a negative impact on the development of urban transit systems. Traffic Analysis Zone (TAZ) delineating is a fundamental and essential step in ridership forecasting, existing delineating method in four-step models have some problems in reflecting the travel characteristics of urban transit. This paper aims to come up with a Transit Traffic Analysis Zone delineation method as supplement of traditional TAZs in transit service analysis. The deficiencies of current TAZ delineating methods were analyzed, and the requirements of Transit Traffic Analysis Zone (TTAZ) were summarized. Considering these requirements, Thiessen Polygon was introduced into TTAZ delineating. In order to validate its feasibility, Beijing was then taken as an example to delineate TTAZs, followed by a spatial analysis of office buildings within a TTAZ and transit station departure passengers. Analysis result shows that the TTAZs based on Thiessen polygon could reflect the transit travel characteristic and is of in-depth research value.
Highlights
Large cities around the world are suffering from traffic congestion
Transit Traffic Analysis Zone (TTAZ) delineated with Thiessen polygons has the following advantages: (1) Polygon centroid of TTAZ is transit station, the start point and end point of transit trips would be more in line with the actual situation in trip aggregation; (2) The transit travel OD (The passenger volume from Origin to Destination) between TTAZs is easy to get through the analysis of AFC (Automatic Fare Collection) data; (3) TTAZ delineation would change with the change of transit condition, reducing the complexity and subjectivity of TTAZ delineating; (4) The connection distance in any part of a TTAZ to the corresponding transit station is relatively clear
In order to validate the feasibility of TTAZ in transit ridership forecasting, we need to conduct an analysis of the correlation between TTAZ land use features and passenger flow of the corresponding transit station
Summary
Large cities around the world are suffering from traffic congestion. Governments have adopted numerous measures to deal with this problem, such as Intelligent Transportation Systems (ITS) and travel demand management. A green transportation system composed of transit, busses and bicycles could be a significant alleviate to traffic congestion. Urban rail transit with its distinctive features, occupies a leading and unshakeable position in the urban public transport. Thiessen polygon is called Dirichlet polygon and Voronoi polygon. In 1911, Dutch climatologist A H Thiessen presented a new method to calculate average rainfall based on discrete distributed weather stations: connect all adjacent weather stations into triangles, and draw the perpendicular bisector of each side of these triangles, the perpendicular bisectors around each weather station could form a polygon. Rainfall intensity of one polygon is indicated by the only weather station contained, and the polygon was called Thiessen polygon [21]. (1) Connect all transit stations into triangles, which is called Delaunay Triangulation network, as Figure 3 shows. Number all the transit stations and triangles, and record which three stations was each triangle composed of
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