Identifying the Indoor Space Characteristics of an Urban Railway Station Based on Pedestrian Trajectory Data

Stations are being converted into various living spaces that can be used for public transportation, work, commerce, and leisure. To satisfy the various requirements and expectations for functional extension, it is necessary to investigate and understand the phenomena caused by users. A methodology to cluster the characteristics of pedestrian space of a railway station through the pedestrian trajectory data collected from an actual operating station is proposed in this paper. Then the spatial usability of the movement and stay of pedestrians were defined through the results of the clustering. The procedure to cluster the indoor space characteristics of an urban railway station in this study consists of four steps: data collection, feature vector extraction, K-means clustering, and cluster characteristics analysis. A case study was conducted for the Samseong station. The results of the proposed spatial clustering analysis showed that there are several types of spaces depending on the space occupancy characteristics of pedestrians. The proposed methodology could be applied to indoor space diagnosis from the perspective of station monitoring and management. In addition, the station operator could respond flexibly to unexpected events by monitoring the indoor spaces according to whether the flow is normal or suggestive of an emergency.

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Risk of COVID-19 Infection in Public Transportation: The Development of a Model

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182312790 ◽

2021 ◽

Vol 18 (23) ◽

pp. 12790

Author(s):

Junsik Park ◽

Gurjoong Kim

Keyword(s):

Public Transportation ◽

Ventilation System ◽

Ventilation Rate ◽

Accurate Information ◽

Risk Of Infection ◽

Social Distancing ◽

Indoor Space ◽

The Government ◽

Major Factors ◽

Indoor Spaces

South Korea’s social distancing policies on public transportation only involve mandatory wearing of masks and prohibition of food intake, similar to policies on other indoor spaces. This is not because public transportation is safe from coronavirus disease 2019 (COVID-19), but because no suitable policies based on accurate data have been implemented. To relieve fears regarding contracting COVID-19 infection through public transportation, the government should provide accurate information and take appropriate measures to lower the risk of COVID-19. This study aimed to develop a model for determining the risk of COVID-19 infection on public transportation considering exposure time, mask efficiency, ventilation rate, and distance. The risk of COVID-19 infection on public transportation was estimated, and the effectiveness of measures to reduce the risk was assessed. The correlation between the risk of infection and various factors was identified through sensitivity analysis of major factors. The analysis shows that, in addition to the general indoor space social distancing policy, ventilation system installation, passenger number reduction in a vehicle, and seat distribution strategies were effective. Based on these results, the government should provide accurate guidelines and implement appropriate policies.

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Applying Kano's Model to Analyze the Tourism Region of the Public Transportation Service Quality-Liujia Railway Station to Neiwan Scenic Area Case Study

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences ◽

10.4156/aiss.vol4.issue19.61 ◽

2012 ◽

Vol 4 (19) ◽

pp. 489-495 ◽

Cited By ~ 1

Author(s):

HsiangSheng Lin ◽

LiYang Hsieh ◽

ChangCheng Huang

Keyword(s):

Service Quality ◽

Public Transportation ◽

Railway Station ◽

The Public ◽

Transportation Service ◽

Kano’S Model

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Inclusive Design Strategies to Enhance Inclusivity for All in Public Transportation - A Case Study on a Railway Station

Advances in Intelligent Systems and Computing - Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) ◽

10.1007/978-3-319-96071-5_173 ◽

2018 ◽

pp. 1689-1698

Author(s):

Moa Nybacka ◽

Anna-Lisa Osvalder

Keyword(s):

Public Transportation ◽

Inclusive Design ◽

Design Strategies ◽

Railway Station

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Identify and Delimitate Urban Hotspot Areas Using a Network-Based Spatiotemporal Field Clustering Method

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi8080344 ◽

2019 ◽

Vol 8 (8) ◽

pp. 344 ◽

Cited By ~ 3

Author(s):

Xia ◽

Li ◽

Chen ◽

Liao

Keyword(s):

Road Traffic ◽

Spatial Clustering ◽

Hotspot Detection ◽

Trajectory Data ◽

High Concentration ◽

Time Dimension ◽

Clustering Approach ◽

Rich Information ◽

Taxi Trajectory

Pick-up and drop-off events of taxi trajectory data contain rich information about residents’ travel activities and road traffic. Such data have been widely applied in urban hotspot detection in recent years. However, few studies have attempted to delimitate the urban hotspot scope using taxi trajectory data. On this basis, the current study firstly introduces a network-based spatiotemporal field (NSF) clustering approach to discover and identify hotspots. Our proposed method expands the notion from spatial to space–time dimension and from Euclidean to network space by comparing with traditional spatial clustering analyses. In addition, a concentration index of hotspot areas is presented to refine the surface of centredness to delimitate the hotspot scope further. This index supports the quantitative depiction of hotspot areas by generating two standard deviation isolines. In the case study, we analyze the spatiotemporal dynamic patterns of hotspots at different days and times of day using the NSF method. Meanwhile, we also validate the effectiveness of the proposed method in identifying hotspots to evaluate the delimitating results. Experimental results reveal that the proposed approach can not only help detect detailed microscale characteristics of urban hotspots but also identify high-concentration patterns of pick-up incidents in specific places.

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Social Distancing in Indoor Spaces: An Intelligent Guide Based on the Internet of Things: COVID-19 as a Case Study

Computers ◽

10.3390/computers9040091 ◽

2020 ◽

Vol 9 (4) ◽

pp. 91

Author(s):

Malek Alrashidi

Keyword(s):

Internet Of Things ◽

Particle Swarm ◽

Ant Colony ◽

Swarm Optimization ◽

Social Distancing ◽

Indoor Space ◽

Iot Devices ◽

Indoor Spaces ◽

The Internet Of Things

Using Internet of Things (IoT) solutions is a promising way to ensure that social distancing is respected, especially in common indoor spaces. This paper proposes a system of placement and relocation of people within an indoor space, using an intelligent method based on two optimizers (ant colony and particle swarm) to find the optimal relocation of a set of people equipped with IoT devices to control their locations and movements. As a real-world test, an amphitheater with students was used, and the algorithms guided students toward correct, safe positions. Two evolutionary algorithms are proposed to resolve the studied problem, ant colony optimization and particle swarm optimization. Then, a comparative analysis was performed between these two algorithms and a genetic algorithm, using different evaluation metrics to assess the behavior of the proposed system. The results show the efficiency of the proposed intelligent IoT system.

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Analysis of pedestrian design criteria of Padalarang railway station area

10.31219/osf.io/4uwr2 ◽

2020 ◽

Author(s):

ARTEKS Jurnal Teknik Arsitektur ◽

Alfred Wijaya ◽

Sally Octaviana Sari

Keyword(s):

Public Transportation ◽

High Mobility ◽

Town Planning ◽

Design Criteria ◽

Transit Oriented Development ◽

Railway Station ◽

Public Facilities ◽

Traditional Market ◽

Main Activity

The Padalarang sub urban is currently known as high mobility area. There are railway station and terminal for public transportation. Recently, Padalarang has decreasing its physical and visual quality due to the growth of informal housing, informal sector, traditional market and terminal. The Transit Oriented Development is an approach which integrates vehicle network system and pedestrian lane modes. These inappropriate growths generate a lot of environment problems. One of them is the lack of pedestrian lane and its linkage with housing, such as markets, stations, terminals and other public facilities, meanwhile pedestrian lanes have an important role for supporting their main activity. Especially pedestrian lanes in Indonesia which recently are still in ongoing debate as an important issue in town planning. This research will deliberate about the design criteria of pedestrian lane system become more walkable and responsive, which oriented to sidewalk users. This research was conducted through case study and data collecting by surveying, observing and mapping the physical condition of the area nearby railway station, terminal and traditional market. This study is expected to be able to help government and stakeholders as a reference in assembling the area around Padalarang railway station.

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