• Title/Summary/Keyword: pedestrian characteristics

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Reorganization on the Subway Entrance System in Seoul for Better Pedestrian Environment (서울시 지하철 역사 출입구의 보행환경 개선방안)

  • Yi, Chang;Lee, Dong-Hoon;Lee, Joo-Ah
    • KIEAE Journal
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    • v.15 no.4
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    • pp.53-60
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    • 2015
  • Purpose: Subway in Seoul, Korea is an important urban mass transportation system as it carries more than 4 million people a day. To support this important mission, subway entrances were designed and installed to maximize accessibility to the stations. However, a uniform plan by the national government guided quantity and layout of the subway entrances. Therefore, the plan did not consider unique characteristics of each station area and reorganization of the subway entrance system is required to improve pedestrian environment. Method: This study grouped the subway entrances into specific patterns to propose reorganizing schemes. The authors conducted field surveys, examined case studies and proposed an entrance reorganizing plan for each type. Result: The study recommends subway entrances be installed inside adjacent building when large commercial or office complexes are nearby. The authors proposed installing a bridge connecting the stations and adjacent buildings for elevated entrances. This would be only possible when there are commercial or office facilities nearby with enough floor space. The study summarizes the pros and cons of each solution. To translate our proposals into realities, various incentives should be given to building or land owners. This study made suggestions as to which kinds of incentives exist and be effective in a range of situations.

Symmetric Position Drift of Integration Approach in Pedestrian Dead Reckoning with Dual Foot-mounted IMU

  • Lee, Jae Hong;Cho, Seong Yun;Park, Chan Gook
    • Journal of Positioning, Navigation, and Timing
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    • v.9 no.2
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    • pp.117-124
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    • 2020
  • In this paper, the symmetric position drift of the integration approach in pedestrian dead reckoning (PDR) system with dual foot-mounted IMU is analyzed. The PDR system that uses the inertial sensor attached to the shoe is called the IA-based PDR system. Since this system is designed based on the inertial navigation system (INS), it has the same characteristics as the error of the INS, then zero-velocity update (ZUPT) is used to correct this error. However, an error that cannot be compensated perfectly by ZUPT exists, and the trend of the position error is the symmetric direction along the side of the shoe(left, right foot) with the IMU attached. The symmetric position error along the side of the shoe gradually increases with walking. In this paper, we analyze the causes of symmetric position drift and show the results. It suggests the possibility of factors other than the error factors that are generally considered in the PDR system based on the integration approach.

Development of Evaluation Metrics for Pedestrian Flow Optimization in a Complex Service Environment Based on Behavior Observation Method

  • Bahn, Sang-Woo;Lee, Chai-Woo;Kwon, Sang-Hyun;Yun, Myung-Hwan
    • Journal of the Ergonomics Society of Korea
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    • v.29 no.4
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    • pp.647-654
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    • 2010
  • In a service environment, the spatial layout is an important factor that has a great impact on customers' behavioral characteristics including wayfinding and purchasing. Previous studies have shown a gap between marketing, focusing solely on profitability and satisfaction, and architecture, looking only into efficiency of pedestrian flow. To balance such disparity, this study suggests an integrated approach for assessing behavioral patterns in complex service environments. With the objective that complex service environments should aim to increase its profitability and efficiency while guaranteeing customer satisfaction, quantitative metrics was developed for evaluation. The metrics was defined to use data from behavior observation including path tracking, population counting, and gaze analysis, while previous studies have relied on abstract survey methods that were prone to sampling errors and loss of data. For validation of the metrics in a real world setting, a case study was conducted at 4 train stations in Korea. In the case study, experiments were conducted to gather the required data in all 4 train stations, while their physical layouts were also analyzed. With the results from the case study, comparative evaluation of the 4 train stations in terms of behavioral efficiency was possible, together with a discussion on the effect of their physical settings.

Exceedance probability as a tool to evaluate the wind environment of urban areas

  • Bady, Mahmoud;Kato, Shinsuke;Ishida, Yoshihiro;Huang, Hong;Takahashi, Takeo
    • Wind and Structures
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    • v.11 no.6
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    • pp.455-478
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    • 2008
  • The present study aims to estimate the wind ventilation performance for pedestrian level domains from the air quality point of view. Three typical models of a dense urban area were considered and numerically simulated in order to examine the effects of the geometry of such models on wind flow characteristics, which in turn affect the air quality, within the pedestrian domain of a street canyon located within this area. The calculated flow fields were employed to estimate the exceedance probabilities within the study domain using a new approach: air exchange rate within the domain. The study has been applied to nine cities in Japan: Tokyo, Osaka, Sapporo, Niigata, Fukuoka, Nagoya, Sendai, Yokohama, and Kyoto, based on their mean wind velocity data. The results demonstrated that the exceedance probability analysis of the pedestrian wind environment could be a valuable tool during the design stage of inhabited areas for the evaluation of pollutant-removal efficiency by the applied wind. Also, the calculated probabilities demonstrated substantial dependence on both the geometry of building arrays and the wind conditions of the nine cities.

Development of Fall Inducement System based on Pedestrian Biological Data for Fall Reproduction (낙상 재현을 위한 보행자 생체 정보 기반의 낙상 유도 시스템 개발)

  • Lee, Jong-il;Han, Jong-Boo;Koo, Jae Wan;Lee, Seokjae;Sohn, Dong-Seop;Seo, Kap-Ho
    • The Journal of Korea Robotics Society
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    • v.15 no.3
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    • pp.286-292
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    • 2020
  • This paper is about a fall inducement system for guiding like a real fall. Reliable fall data can be used as an essential element in developing effective fall protection devices. We can get this data if the induced fall is very realistic. The proposed system analyzes gait characteristics and determines when to fall based on the pedestrian's biometric data. To estimate the fall inducement time, an active estimation algorithm was proposed using different biometric values for each pedestrian. The proposed algorithm is designed to response actively to the ratio of gait cycle and a stance period. To verify this system, an experimental environment was implemented using a multi-rail treadmill equipped with a ground reaction force measurement device. An experiment was conducted to induce falls to pedestrians using a fall inducement system. By comparing the experimental scene to the video of the actual fall, it has been confirmed that the proposed system can induce a reliable fall.

A Study on Improving Indoor Positioning Accuracy Using Map Matching Algorithm (맵 매칭 알고리즘을 이용한 실내 위치 추정 정확도 개선에 대한 연구)

  • Kwangjae Sung
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.2
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    • pp.50-55
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    • 2023
  • Due to the unavailability of global positioning system (GPS) indoors, various indoor pedestrian positioning methods have been designed to estimate the position of the user using received signal strength (RSS) measurements from radio beacons, such as wireless fidelity (WiFi) access points and Bluetooth low energy (BLE) beacons. In indoor environments, radio-frequency (RF) signals are unpredictable and change over space and time because of multipath associated with reflection and refraction, shadow fading caused by obstacles, and interference among different devices using the same frequencies. Therefore, the outliers in the positional information obtained from the indoor positioning method based on RSS measurements occur often. For this reason, the performance of the positioning method can be degraded by the characteristics of the RF signal. To resolve this issue, a map-matching (MM) algorithm based on maximum probability (MP) estimation is applied to the indoor positioning method in this study. The MM algorithm locates the aberrant position of the user estimated by the positioning method within the limits of the adjacent pedestrian passages. Empirical experiments show that the positioning method can achieve higher positioning accuracy by leveraging the MM algorithm.

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Factors Affecting Injury Severity in Pedestrian-Vehicle Crash by Novice Driver (초보 운전자에 의한 보행자-차량 교통사고의 심각도 영향 요인 분석)

  • Choe, Sae-Ro-Na;Park, Jun-Hyeong;O, Cheol
    • Journal of Korean Society of Transportation
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    • v.29 no.4
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    • pp.43-51
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    • 2011
  • Since a variety of factors are associated with crash occurrence, the analysis of causes of crash is a hard task for traffic researchers and engineers. Among contributing factors leading to crash, the characteristics of driver is of keen interest. This study attempted to identify factors affecting the severity of pedestrian in the collision between pedestrian and vehicle. In particular, our analyses were focused on the novice driver. A binary logistic regression technique was adopted for the analyses. The results showed that driver's age, crash location, and the frequency of violations were dominant factors for the severity. Findings are expected to be useful information for deffective policy- and education-based countermeasures.

An Optimal Model for Indoor Pedestrian Evacuation considering the Entire Distribution of Building Pedestrians (건물내 전체 인원분포를 고려한 실내 보행자 최적 대피모형)

  • Kwak, Su-Yeong;Nam, Hyun-Woo;Jun, Chul-Min
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.2
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    • pp.23-29
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    • 2012
  • Existing pedestrian and evacuation models generally seek to find locally optimal solutions for the shortest or the least time paths to exits from individual locations considering pedestrian's characteristics (eg. speed, direction, sex, age, weight and size). These models are not designed to produce globally optimal solutions that reduce the total evacuation time of the entire pedestrians in a building when all of them evacuate at the same time. In this study, we suggest a globally optimal model for indoor pedestrian evacuation to minimize the total evacuation time of occupants in a building considering different distributions of them. We used the genetic algorithm, one of meta-heuristic techniques because minimizing the total evacuation time can not be easily solved by polynomial expressions. We found near-optimal evacuation path and time by expressing varying pedestrians distributions using chromosomes and repeatedly filtering solutions. In order to express and experiment our suggested algorithm, we used CA(cellular automata)-based simulator and applied to different indoor distributions and presented the results.

Pedestrian Behavior Tracking at Urban Linear Tourist Sites Via Direct Observation - Focused on Cheonggyecheon in Seoul - (직접관찰법을 이용한 도심 선형 여가공간의 보행자 행태분석 - 서울시 청계천을 대상으로 -)

  • Han, Ul;Yun, Hee Jeong
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.5
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    • pp.124-133
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    • 2014
  • This study aims to track pedestrian behavior in urban linear tourist sites and to analyse their behavioral characteristics. For these purposes, this study has adopted the direct observation, a behavioral tracking methodology, and selected Chenggyecheon in Seoul as the study site, a representative site of urban regeneration. The main results of this study can be summarized as follows: the period of stay and movement distance of pedestrians in the study area are both short and most pedestrian activities, apart from walking, are of a passive nature, such as pitching pennies, reading signs, resting and the like. Spatial points of Chenggyecheon at which pedestrians have exhibited these behaviors during their stay are summarized as 30 points and classified into 3 types: landmarks, bridges and nodes. Further research that combines several tracking methods in terms of urban pedestrian behavior is needed.

An Analysis on Evacuation Scenario at Metro-stations using Pedestrian Movement-based Simulation Model (보행류 기반 도시철도역사 평가 시뮬레이터를 활용한 대피 시나리오 분석)

  • You, So-young;Jung, Rea-hyuck;Chung, Jin-hyuck
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.2
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    • pp.36-49
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    • 2016
  • A subway system is one of the major transportation modes at a metropolitan area. When it meets the other lines, the metro station, so-called transferring station, is usually threatened by severe pedestrian congestion and safety issue of transit users including the transportation vulnerable. Although transportation planners forecast travel demand at the beginning, it is not easy to predict pedestrian flows precisely for a long term if land use plans have dramatically changed. Due to expensive costs, structural extension of metro stations is limited. Therefore, it requires efficient and technical improvements as meeting the demand of pedestrian and physical characteristics. In this study, the core mechanism of pedestrian movement-based simulation model was introduced and evacuation scenarios were analyzed with the developed model. As a result, the multiple optimal routes for unexpected events at the solid space of the multiple stories are easily searched through the simulator and in the case of Sadang Station, travel time can be reduced by 60% when the evacuation information and intuitive design are provided.