Analysis of Hourly Variation for the Highway Traffics in Korea

Jane Jacobs’s The Death and Life of Great American Cities (1961) had an enormous influence on urban design theories and practices. This study aims to operationalize Jacobs’s conditions for a vital urban life. These are (1) mixed use, (2) small blocks, (3) aged buildings, and (4) a sufficient concentration of buildings. Jacobs suggested that a vital urban life could be sustained by an urban realm that promotes pedestrian activity for various purposes at various times. Employing multilevel binomial models, we empirically verified that Jacobs’s conditions for urban diversity play a significant role with regard to pedestrian activity.

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Operationalizing Jane Jacobs’s Urban Design Theory

Sung

Lee

Cheon³

2015

Journal of Planning Education and Research

132

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Calculation of the Peak-hour Ratio at Urban Railway Stations Reflecting Passenger Demand Pattern and Land Use Inventory - A Case of Seoul -

Jang¹,

Kim²,

Lee³

et al. 2013

Journal of The Korean Society of Civil Engineers

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The aim of this study is to suggest a methodology for calculating the peak-hour ratio of passengers at urban railway stations by reflecting the characteristics of passenger demand patterns and the land use inventory of stations. To achieve this, urban railway stations in Seoul are divided into three groups by using factor analysis and cluster analysis. For each station group, we calculate five and four variables related to the passenger demand patterns and the land use inventory of stations, respectively, as well as the peak-hour ratios of passengers. Among these nine variables, average daily passengers and the location quotient (LQ) index for business services are selected as the classification criteria for station groups based on statistical tests. Using the two variables, a group allocation process is suggested to estimate the peak-hour ratio of passengers for a newly-constructed station. Evaluation results based on thirteen stations show that the proposed methodology produces lower errors than the currently-used guideline does. The results of this study contribute to establishing efficiently construction and operation plans for newly-constructed stations.

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Calculation of the Peak-hour Ratio for Road Traffic Volumes using a Hybrid Clustering Technique

Kim¹,

Chang²

2012

Journal of Korean Society of Transportation

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The majority of daily travel demands concentrate at particular time-periods, which causes the difficulties in the travel demand analysis and the corresponding benefit estimation. Thus, it is necessary to consider time-specific traffic characteristics to yield more reliable results. Traditionally, naïve, heuristic, and statistical approaches have been applied to address the peak-hour ratio. In this study, a hybrid clustering model which is one of the statistical methods is applied to calculate the peak-hour ratio and its duration. The 2009 national 24-hour traffic data provided by the Korea institute of Construction Technology are used. The analysis is conducted dividing vehicle types into passenger cars and trucks. For the verification for the usefulness of the methodology, the toll collection system data by the Korea Express Corporation are collected. The result of the research shows lower errors during the off-peak hours and night times and increasing error ratios as the travel distance increases. Since the method proposed can reduce the arbitrariness of analysts and can accommodate the statistical significance test, the model could be considered as a more robust and stable methodology. It is hoped that the result of this paper could contribute to the enhancement of the reliability for the travel demand analysis.

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Analysis of Hourly Variation for the Highway Traffics in Korea

Cited by 3 publications

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Operationalizing Jane Jacobs’s Urban Design Theory

Operationalizing Jane Jacobs’s Urban Design Theory

Calculation of the Peak-hour Ratio at Urban Railway Stations Reflecting Passenger Demand Pattern and Land Use Inventory - A Case of Seoul -

Calculation of the Peak-hour Ratio for Road Traffic Volumes using a Hybrid Clustering Technique

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