The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Zifan Yang - One of the best experts on this subject based on the ideXlab platform.
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Transit Traffic Analysis Zone Delineating Method Based on Thiessen Polygon
Sustainability, 2014Co-Authors: Shuwei Wang, Lishan Sun, Jian Rong, Zifan YangAbstract: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.
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Transit Traffic Analysis Zone Delineating Method Based on
2014Co-Authors: Shuwei Wang, Lishan Sun, Jian Rong, Zifan YangAbstract: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.
Shuwei Wang - One of the best experts on this subject based on the ideXlab platform.
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Transit Traffic Analysis Zone Delineating Method Based on Thiessen Polygon
Sustainability, 2014Co-Authors: Shuwei Wang, Lishan Sun, Jian Rong, Zifan YangAbstract: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.
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Transit Traffic Analysis Zone Delineating Method Based on
2014Co-Authors: Shuwei Wang, Lishan Sun, Jian Rong, Zifan YangAbstract: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.
Jian Rong - One of the best experts on this subject based on the ideXlab platform.
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Transit Traffic Analysis Zone Delineating Method Based on Thiessen Polygon
Sustainability, 2014Co-Authors: Shuwei Wang, Lishan Sun, Jian Rong, Zifan YangAbstract: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.
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Transit Traffic Analysis Zone Delineating Method Based on
2014Co-Authors: Shuwei Wang, Lishan Sun, Jian Rong, Zifan YangAbstract: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.
Lishan Sun - One of the best experts on this subject based on the ideXlab platform.
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Transit Traffic Analysis Zone Delineating Method Based on Thiessen Polygon
Sustainability, 2014Co-Authors: Shuwei Wang, Lishan Sun, Jian Rong, Zifan YangAbstract: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.
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Transit Traffic Analysis Zone Delineating Method Based on
2014Co-Authors: Shuwei Wang, Lishan Sun, Jian Rong, Zifan YangAbstract: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.
Birnur Özbaş - One of the best experts on this subject based on the ideXlab platform.
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Risk Analysis Study of Maritime Traffic
2013Co-Authors: Birnur ÖzbaşAbstract:The Strait of Istanbul, the narrow waterway separating Europe from Asia, holds a strategic importance in maritime transportation as it links the Black Sea to the Mediterranean. It is considered as one of the world’s most congested and difficult-to-navigate waterways. The nature of the global economy and international politics dictate that the maritime Transit Traffic in the Strait cannot be greatly reduced, or eliminated. Nonetheless, the economic and political realities vs. environmental awareness and risk management need not be mutually exclusive. The risks regarding the Transit Traffic can be mitigated by operational policies and rules that adequately regulate and guide the Transit Traffic, while maintaining the freedom of passage. The aim of this study is to prove and implement a sound methodology and a quantitative basis to investigate and analyze safety risks pertaining to the Transit vessel Traffic in the Strait of Istanbul. We believe that this book can also act as a guide to make any similar extensive quantitative risk assessment study.
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Simulation-Based Risk Analysis of Maritime Transit Traffic in the Strait of Istanbul
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 2009Co-Authors: Birnur Özbaş, Özgecan S. Ulusçu, Tayfur AltiokAbstract:In this manuscript, development and preliminary results of a simulation based risk modeling study for the Strait of Istanbul is presented. The goal of this research is to analyze the risks involved in the Transit vessel Traffic in the Strait of Istanbul. In the first step of the study, the Transit vessel Traffic system in the Strait of Istanbul has been investigated and a simulation model has been developed. The model gives due consideration to current Traffic rules and regulations, Transit vessel profiles and schedules, pilotage and tugboat services, local Traffic, meteorological and geographical conditions. Regarding risk assessment, two sets of factors are used to evaluate the risk of accident in the Strait: the probability of an accident and its potential consequences, as estimated and evaluated at various points along the Strait. Experience has shown that maritime accident occurrences can be very dissimilar from one another and therefore, probabilistic analysis of accidents should not be done independent of the factors affecting them. Thus, in this study, we have focused on the conditional probability of an accident, under a given setting of various accident causing factors. Unfortunately, historical accident data is by far insufficient for a proper statistical consideration of all possible settings of these factors. Therefore, subject-expert opinion is relied upon in estimating these conditional accident probabilities. Assessment of the consequences of a given accident (in terms of its effects on human life, Traffic efficiency, property and environment) was also accomplished using a similar approach. Finally, by integrating these assessments into the developed simulation model, the risks observed by each vessel at each risk slice are calculated in regard to the natural and man-made conditions surrounding. A scenario analysis is performed to evaluate the characteristics of the accident risk as the vessel moves along the Strait. This analysis allows us to investigate how various factors impact risk. These factors include vessel arrival rates, scheduling policies, pilotage service, overtaking and pursuit rules, and local Traffic density. Policy indications are made based on the results of these scenarios.
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Analysis and control of maritime Transit Traffic through the İstanbul Channel: a simulation approach
Central European Journal of Operations Research, 2007Co-Authors: Birnur ÖzbaşAbstract:This study involves a functional simulation model for the maritime Transit Traffic in the İstanbul Channel that investigates the Channel Traffic Rules and Regulations, vessel types, cargo characteristics, meteorological and geographical conditions, pilotage and tugboat services. The simulation model mainly focuses on the Transit Traffic in the Channel. This study provides a platform to analyze the effects of factors such as Rules and Regulations, number of tugboats and pilots, vessel type, Traffic density and meteorological conditions on the maritime Traffic in the Channels. Results obtained and reported in the study clearly indicate some interesting relationships among these factors. As the effect of five factors on eight responses are examined, the most significant factor is determined as number of pilots and tugboats in the service, while the second effective factor is the arrival rate of vessels.
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Analysis and control of maritime Transit Traffic through theChannel: a simulation approach
2007Co-Authors: Birnur ÖzbaşAbstract:This study involves a functional simulation model for the maritime Transit Traffic in the u Channel that investigates the Channel Traffic Rules and Regula- tions, vessel types, cargo characteristics, meteorological and geographical conditions, pilotage and tugboat services. The simulation model mainly focuses on the Transit Traffic in the Channel. This study provides a platform to analyze the effects of factors such as Rules and Regulations, number of tugboats and pilots, vessel type, Traffic den- sity and meteorological conditions on the maritime Traffic in the Channels. Results obtained and reported in the study clearly indicate some interesting relationships among these factors. As the effect of five factors on eight responses are examined, the most significant factor is determined as number of pilots and tugboats in the service, while the second effective factor is the arrival rate of vessels.
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Simulation Of Maritime Transit Traffic In The Istanbul Channel
ECMS 2006 Proceedings edited by: W. Borutzky A. Orsoni R. Zobel, 2006Co-Authors: A. O. Almaz, Birnur ÖzbaşAbstract:This study aims to develop a functional simulation model for the maritime Transit Traffic in the Istanbul Channel and to perform scenario analysis to investigate the effects of type and frequency of Transit demand, as well as various natural factors, resources and decision / policy rules, on the system. In this regard, the Channel Traffic rules and regulations, Transit vessel profiles, pilotage and tugboat services, meteorological and geographical conditions are considered in the model to provide a platform to analyze the effectiveness of various policies and decisions related to the Transit Traffic in the Istanbul Channel. The statistics tracked and collected in the analysis are the number and types of vessels passed, Transit times of vessels, vessel densities throughout the Channel, waiting times of vessels, pilot and tugboat utilizations. In the first phase of the study, scenario analyses have been designed to investigate the effects of the factors of vessel profiles, vessel arrival rates, vessel priorities, pilot and tugboat availabilities and visibility conditions. In the second phase, the analyses are extended by integrating probabilistic current and visibility submodels, comprehensive overtaking rules, parameterization of pursuit distances and other administrative controls (regarding vessels in Transit in the Channel). A scenario analysis is being run to reveal the effects of these factors and preliminary results are reported.
