Train Station Research Articles

Hotspots of change in use of public transport to work: A geospatial mixed method study

IntroductionSeveral studies have supported the role of public transport in encouraging active transport through commuting. Investigating actual increases in public transport use within focussed local areas can help unravel what causes such increases. MethodsIn this study, we investigated factors related to the increase in public transport use in focussed local areas (hotspots) through a geospatial mixed-method approach using data from South Western Sydney, Australia, spatial cluster detection, and local stakeholder interviews. We also examined areas with low levels of public transport use. ResultsWe found that while distance to train station is a significant predictor of usage, other important factors include the professional and socioeconomic profile of the neighbourhood around the train station, the train line's deemed attractiveness and parking availability. ConclusionsThus, researchers and planners must consider a range of built environment factors when planning for changes that encourage public transport use. In addition, focusing on small local areas utilising geospatial mixed methods can provide important insights into the local drivers of public transport use.

(048) Management of Sexual Dysfunction: Can Color Scheme in Areas of Intimacy be a Possible Management Intervention?

Abstract Introduction There are several psychological factors that can affect sexual dysfunction, such as stress, anxiety, or depression. Evaluating color schemes in areas of intimacy may be one of the potential ways to address the psychological issues contributing to the sexual dysfunction. That is, suggesting to those with sexual dysfunction an evaluation of the color scheme in their usual area of intimacy should be considered. Further, understanding the effect of color on sexual dysfunction may be important when couples decorate their bedrooms as it can allow couples to understand which colors to avoid and which colors to incorporate in this process. Objectives To review the role of color in psychological wellness. Methods A systematic literature review was conducted on Google Scholar to examine data on the role of color and psychological health. Results There were scant data that explored the role of color in the scientific literature. Further, although none of the research specifically linked color to sexual performance, there were scant data suggesting color may have an indirect impact through improving psychological wellness. Data from two specific studies, one done in Japan and the other in Switzerland did report that both suicide and aggressive behavior were impacted by color. In Tokyo, Japan, in response to the escalating suicide rates, an initiative was undertaken to situate blue LED lamps in about 71 Tokyo train stations. The installation of blue lights was nothing new in Japan and, in fact, blue lights had been installed in the streets in order to reduce crime rates. With the installation of these blue lights there was reported an 84% decrease in suicides. A Swiss study, conducted in a prison, sought to evaluate which colors decreased aggression amongst inmates, specifically male inmates. In order to do so, certain Swiss prisons were painted in a pink color in order to target inmates’ “masculinity.” There was a specific shade of pink from this study which was deemed to be the most effective and it was named ‘Cool Down Pink.’ The methods used to quantify inmate aggression were blood pressure and physical observations. By using the color pink, these Swiss prisons were able to decrease aggression amongst their inmates. Conclusions Based on limited research, it appears that color may have a psychological impact on an individual. Although no studies have addressed color and sexual wellness, if psychological wellness is improved, it follows that sexual dysfunction may also improve. The color blue from the Tokyo study infers that this color may reduce depression or even stress and allow for a calm feeling in the mind. When taking sexual dysfunction into account, it follows that if couples incorporate more blue into their areas of intimacy, that sexual function may improve though decreasing anxiety, stress, or depression. Color in areas of intimacy is an area that should be furthered explored, as bedroom color may positively impact sexual function. Disclosure

Coupling shared E-scooters and public transit: a spatial and temporal analysis

ABSTRACT The integration of shared e-scooters with public transit is a promising solution for urban mobility's first/last-mile challenge. This study explores spatiotemporal factors influencing this integration, using 35-day e-scooter trip data from Chicago. Employing a random-effect negative binomial approach, we modeled the frequency of e-scooter trips to access/egress to/from bus stops and train stations. Results indicate that weather conditions, design features like intersection density, and multimodal network density significantly influence usage. The transit system characteristics such as service frequency have a positive effect on the integration of e-scooters and trains while a similar effect for bus and e-scooter integration was not significant. Furthermore, safety-related variables such as accident and crime rates as well as demographic characteristics were also revealed to be significant factors in our study. These findings offer vital insights to urban planners and policymakers for infrastructure, safety enhancements, and interventions to encourage efficient e-scooter-public transit integration.

Thermal responses in temporarily occupied space in the summer: Spatial-temporal synergetic alliesthesia using a ceiling fan

Although temporal and spatial alliesthesia have been widely studied in recent decades, their synergistic impact on occupant perceptions have received less attention. One reason for this is that prior to the concept of temporarily occupied space (TOS), real-world application circumstances were not clearly defined. TOS were defined as air-conditioned indoor facilities where the majority of people spend shorter than a set time period, such as banks, fast-food restaurants and train station waiting spaces (about 40 min). In this study, thermal responses based on the spatial-temporal synergetic alliesthesia were investigated. According to the association of human physiological parameters with thermal perception responses, a thermal sensation model was developed. Reasonable indoor design temperatures to achieve energy-efficient comfort were determined. Chamber tests were performed on acclimatized human volunteers to determine spatial-temporal synergetic alliesthesia. Besides, an actual building was used for transient energy consumption simulations. For this study, a TOS with a non-adjustable ceiling fan (0.85 m/s, 128 rpm, 17.2 W) setting was used. The results showed that 27 °C and 55%RH are the best HVAC control target settings for the air-conditioned TOS with ceiling fans. It has the potential to save 34% of energy (26.8 kWh/m2·yr) while maintaining the thermal comfort of the human body. The high-accuracy thermal sensation model for spatial-temporal synergetic alliesthesia demonstrated good agreement with experimental data that were not used in the regression development. TOS can be used as a real-world example of the spatial-temporal synergetic alliesthesia. The findings of this study are useful for promoting and applying alliesthesia in the field of buildings, as well as for energy-saving thermal comfort.

‘Citayam Fashion Week’ Phenomenon Viewed from Perspective of Family Sociology and Fulfillment of Child's Rights

The activity of Citayam Fashion Week (CFW) in the Dukuh Atas Train Station Area at Jl. Sudirman Jakarta, which is dominated by children aged in their teens who appear wearing modern and quirky clothes, has managed to attract the attention of the public in particular netizens. But behind this phenomenon, the CFW event raises concerns because the majority of participants are children aged 15-18 years who spend their daily time in the area without parental supervision. This study aims to analyze the CFW phenomenon from the perspective of Family Sociology and Fulfillment of Child's Rights. This study uses a descriptive qualitative research method with secondary data. The results of the study found that children who were involved in CFW activities did not get their welfare rights from their parents. In accordance with the definition of the Child Protection Act, where a person who is not yet 18 years old is a child whose rights are protected by the state, and in development they still need the guidance, supervision and affection of their parents. Parents are obliged to provide direction and accompany the growth and development of children and fulfill children's rights including the right to education, the right to a family environment and other rights. The main thing in human development is the fulfillment of basic needs, where if these basic needs are not met, it will have a significant impact on the growth and development of children. In conclusion, the Citayam Fashion Week phenomenon has a negative side where parents or families who are supposed to be the parties to fulfill children's rights and prepare children to become qualified human resourceshave neglected to carry out their responsibilities. The function of the family as social control in society has also shifted.

Designing, Modeling, and Fabrication of a Novel Solar-Concentrating Spittoon against COVID-19 for Antibacterial Sustainable Atmosphere

Spreading infectious illnesses such as viral meningitis, hepatitis, and cytomegalovirus among people is facilitated by spitting in public. India is more prone to transferring infectious illnesses. Recent research discovered that the new Coronavirus may also be transmitted via an infected person’s saliva. Self-collected saliva from 91.7% of patients contains COVID-19. Numerous nations have prioritized preventing individuals from spitting in open or public areas such as hospitals, parks, airports, train stations, etc. The UVC range has a greater damaging effect on microbial cells because microorganisms’ intracellular components, such as RNA, DNA, and proteins, are sensitive to UVC photon absorption. In this article, the design and construction of a solar-concentrating spittoon is attempted. At its receiver, it can create a temperature of 390 K and 176 W of heat. At this temperature, most viruses (including Coronavirus), bacteria, and pathogens are inactivated. Daily, from 8:00 a.m. until 5:00 p.m., the solar-concentrating spittoon is functional. The solar-concentrating spittoon performance was best for nine hours. The receiver thermal efficiency was 80% and 20% of heat was lost to the surroundings. The overall efficiency was found to be 70%. During this time, most people spend their time outside, where this solar-powered spittoon can incinerate human cough and spit within one minute. The installation of this solar-concentrated spittoon will aid in preventing the spread of fatal dangerous diseases and cleaning the city.

Analysis of the effect of motorcycle parking attendants on parking space unit Case Study : Poncol Station and Tawang Station

The movement or activities that take place in an area will undoubtedly be impacted by how developed it is. The city of Semarang experiences the same thing. With such high mobility, transportation modalities and related services are necessary. In Semarang City, there are two train stations: Tawang Station and Poncol Station. The purpose of this study is to measure the effect of motorcycle parking attendants on station parking spaces. The measurement is based on descriptive statistics on parking space unit’s width. Tawang Station has parking attendants, and Poncol Station does not. A primary survey was conducted at the Poncol and Tawang station. The survey calculating the number of active cars and the area utilised during peak, early, and late hours. Google Maps were used to predict peak hour. The presence of parking attendants shows 120% more effective than without parking attendants. Moreover on averagethe width, and degree of saturation are 106% and 110% respectively better than standard.

Intelligent train stopping control for railways: A deep learning approach

AbstractStation parking accuracy is an important indicator for the automatic control of high‐speed trains; however, it is subject to many influencing factors, such as the characteristics of high nonlinearity and large time delays in the train control model, time‐variant humidity, and uncertain weather conditions, leading to unsatisfying performance with existing feedback control algorithms. This study first proposes an intelligent train stopping control approach based on deep learning for high‐speed railways. By collecting a large amount of historical train operation data from the Beijing–Shenyang high‐speed railway, three data‐driven models are developed for train stopping control. The first model is based on a deep‐layered feedforward neural network (DNN), which predicts the exact train stopping position with dynamic train running states (position, velocity etc.) as input. Taking advantage of the physical train control models used in practice, the DNN to a convolutional neural network (CNN) is then improved by customizing the convolutional layers of the CNN. To overcome the issues arising from the incompleteness of data samples, a few‐shot convolutional neural network (FSCNN) is further developed to enhance the prediction performance of the CNN. Compared with that of the current method used in practice, the simulation experiments show that the train station parking error can be decreased by 38.6%, 42.8%, and 49.2% by our developed DNN, CNN, and FSCNN, respectively.

This Past Must Address Its Future: Uses of African Noncontemporaneity in Contemporary Art from the French Borderscape

Abstract In the last two decades, key sites in the European borderscape—the “jungle” of Calais, the dense patchwork of settlements around Melilla and Ceuta, myriad migrant or refugee camps along Europe's Mediterranean coastline and in the major train stations of its capital cities—have become art factories. In these spaces, artists from a range of backgrounds are making new work, much of which seeks to challenge the exoticist and primitivizing tropes that, in Europe, have characterized the representation of im/migrant presences at least since the official colonial period. Among the most conspicuous and intractable of these tropes have been those connected with the representation of Africa and Africans in the European borderscape. This essay explores a handful of particular strategies used by artists working in and around the French borderscape and speculates about their consequences for thinking about both contemporary art and contemporary politics.

Role of IoT in Crowd Management using Bidirectional Attendance Counter

Abstract: Crowd management is one of the most challenging tasks in public spaces like airports, train stations, and stadiums. The advent of the Internet of Things (IoT) has made it possible to automate the crowd management process. Bidirectional attendance counters are IoT devices that can help monitor the number of people entering and leaving a specific location. This paper discusses the role of IoT in crowd management using bidirectional attendance counters. The paper explains the design and working of the bidirectional attendance counter and how it can be used to manage crowds in public spaces.

Finding Missing Person Based on Face Recognition Using AI in Video Surveillance System

Abstract: AI-based face recognition for missing person searches is a promising strategy that has the potential to significantly speed up and improve accuracy. The system makes use of artificial intelligence algorithms to match surveillance camera realtime video footage with facial images of people who have gone missing. Face recognition technology in video surveillance systems is used in this project to come up with a strategy for locating people who have gone missing. The system involves gathering information about the missing person, creating a database of facial images, and matching those images to real-time video footage with the help of artificial intelligence algorithms. The goal of the field of computer science known as artificial intelligence (AI) is to create intelligent machines that can carry out tasks that typically call for human intelligence. This includes tasks like translating languages, visual perception, speech recognition, and decision-making. Machine learning algorithms are used by AI systems to learn from data and allow them to improve their performance over time. A powerful method for training artificial neural networks with many layers, deep learning, a subset of machine learning, has emerged, allowing. The system can be used to quickly identify and locate missing people in public places like airports and train stations. The speed and accuracy of missing person searches could be significantly enhanced by the proposed system, increasing the likelihood of successful reunions. Finding missing people in view of face acknowledgment utilizing Convolutional Brain Organization (CNN) calculation is a well-known approach that has shown promising outcomes. CNN is a deep learning algorithm that works well for face recognition because it is widely used for image recognition and classification.

Wireless Smart Notice Board Using Dot Matrix

Abstract: Whether a firm is for profit or not, the information sharing component of information technology is a major factor in all types of businesses. Nowadays, all company models depend on and use the capacity of advertising to market their goods and services. The present demand of the modern business and information world is for digital advertising. International airports, metro train stations, shopping centres, bus stops, etc. all employ scrolling LED dot matrix displays. Led displays are a good way to show information, but making the message dynamic is challenging since users must adjust the message content to meet their particular needs. The user must connect the Led display to the computer in order to change the message content. The wireless based dot matrix display creates the wireless connection between individual mobile and Led display in the event that the user requires pairing the Led display with the computer in order to change the message content, which makes it difficult to place the display board anywhere due to the dedicated and complex setting up pattern. It provides the facility of real time message displaying means the user can change the message content that is to be display. The message is sent from a mobile device to the LED display, and the microcontroller handles all processing for scrolling the message's content on the LED display. The project's goal is to create a wireless scrolling message board that allows the user to update the information without using a connection to connect the display board to a computer or laptop. The user has the option of using Bluetooth or Wi-Fi to refresh the message content.

Land Efficient Mobility and Emissions: Click and Collect vs. Grocery Deliveries in Switzerland

Online grocery shopping is an emerging market. It caused visible growth in last mile delivery services, which has resulted in concerns about its external effects (e.g., pollution, land use, congestion). The study outlined in this paper proposes a grocery delivery concept where goods are transported by train to the customer’s nearest station, and then the consumer either picks up the groceries (i.e., click and collect) or the goods are delivered to the customer’s home, or to a locker. The focus of this paper is primarily based on the last mile delivery part of the supply chain (i.e., from the train station to the customer). The land use efficiency and emissions of each delivery concept have been evaluated based on the time-area concept and the Handbook Emission Factors for Road Transport (HBEFA 4.1), respectively. This large-scale simulation considers every household in Switzerland with various levels of demand and supermarket network densities. Two machine learning techniques (i.e., random forest and decision tree) have been used to categorise all neighbourhoods within Switzerland based on the best delivery method in terms of emissions and land efficiency. The results show that, depending on the scenarios (e.g., 10 or 100% of the households taking part), home delivery can be better for 76–89% of these communities when compared with a click and collect option based on their land use efficiency.

Assessing spatial characteristics to predict DRT demand in rural Switzerland

The niche market segment of demand responsive transport (DRT) services is meant to overcome structural economic problems of currently cost ineffective public transport (PT) services in rural areas. Simulation studies for mainly urban DRT services showed that demand for DRT trips is correlated with spatial characteristics. More knowledge of spatial characteristics of rural settings and their influence on DRT trips is necessary.In this study, trip data of a rural DRT service called mybuxi is used. Machine learning is applied for a better understanding of spatial characteristics of DRT demand in two different rural settings of the mybuxi service. Here in, the transferability from one mybuxi setting to the other is then tested.Results show that the number of inhabitants is the most important spatial characteristic for the prediction of DRT demand, followed by the distance to a train station and the presence of a restaurant in a given zone. The quality indicator of PT had low or no predictive power. The study shows that both DRT service areas experienced an increase in accessibility. For future transport planning, the increase in accessibility by DRT services in different rural areas must be taken as a legitimation for these services to be implemented instead of line-bound PT services.

IDENTIFYING THE ECOTOURISM SUITABILITY SCORE FOR MARINA BEACH AND ELLIOT'S BEACH OF CHENNAI COAST, TAMIL NADU, INDIA.

At the Chennai Coast in Tamil Nadu, India, research is done. Finding out whether Marina Beach and Elliott's Beach are suitable for ecotourism is the study's main goal. For the research using the ecotourism suitability index methodology, land use, land cover, erosion, accretion, beach type, beach width, proximity to bus stop, proximity to train station, and suspended sediment load have all been taken into account. The suitability index of eco tourism is assigned into 4 (four) classes, which are: Class S1 (Highly suitable), Class S2 (Quite Suitable), Class S3 (Suitable with condition) and Class N (Not Suitable). Result of analysis indicates that coast area of Marina Beach and Elliots beach area comes in the class of Highly suitable (S1) by score total of 129 or 95.5 % and 116 or 85.9 % respectively. According to the research, Marina Beach has a sand feature as a land use land cover, 213 metres of beach width, good clarity (500 mg/L), is located 361 metres from a bus stop and 681 metres from a train station, has moderate erosion, and has not experienced any accretion. The beach type is white sand. Likewise, Elliots Beach has a sand feature as a land use land cover, with 222 metres of beach width, good clarity (600 mg/L), 642 metres from the bus stop, and 2351 metres from the railway station, which is high. There is moderate erosion and no accretion, and the sand is of the beach type, which is white. Marina beach has high tourism suitability index as compared to Elliot's beach. By considering marina beach, all the eight parameters are considered to be ne whereas Elliot's beach has far away accessibility this is the main reason for lowering the tourism suitability

QUALITY ASSURANCE DURING TRANSPORTATION IN RAILWAY VEHICLES

Regional cooperation in rail transport can help participating countries diversify their trade patterns. Improved rail transport can also help attract foreign direct investment, increase participation in global production networks and the scale of related trade in manufactured goods, and diversify exports. Improved rail infrastructure will increase global competitiveness and spur economic development. In addition, improved rail infrastructure will help regional cooperation and integration through improved connectivity between people, goods and services. The operation is carried out by a railway company, providing transport between train stations or freight customer facilities. Power is provided by locomotives which either draw electric power from a railway electrification system or produce their own power, usually by diesel engines or, historically, steam engines. Most tracks are accompanied by a signalling system. Railways are a safe land transport system when compared to other forms of transport. Railway transport is capable of high levels of passenger and cargo utilisation and energy efficiency but is often less flexible and more capital-intensive than road transport, when lower traffic levels are considered. Railways are a climate-smart and efficient way to move people and freight. Keywords: railway, transport, improvement, transportation, transit, passenger, development, delivery, traffic, technology, vehicles.

From Microscopic Droplets to Macroscopic Crowds: Crossing the Scales in Models of Short-Range Respiratory Disease Transmission, with Application to COVID-19.

Short-range exposure to airborne virus-laden respiratory droplets is an effective transmission route of respiratory diseases, as exemplified by Coronavirus Disease 2019 (COVID-19). In order to assess the risks associated with this pathway in daily-life settings involving tens to hundreds of individuals, the chasm needs to be bridged between fluid dynamical simulations and population-scale epidemiological models. This is achieved by simulating droplet trajectories at the microscale in numerous ambient flows, coarse-graining their results into spatio-temporal maps of viral concentration around the emitter, and coupling these maps to field-data about pedestrian crowds in different scenarios (streets, train stations, markets, queues, and street cafés). At the individual scale, the results highlight the paramount importance of the velocity of the ambient air flow relative to the emitter's motion. This aerodynamic effect, which disperses infectious aerosols, prevails over all other environmental variables. At the crowd's scale, the method yields a ranking of the scenarios by the risks of new infections, dominated by the street cafés and then the outdoor market. While the effect of light winds on the qualitative ranking is fairly marginal, even the most modest air flows dramatically lower the quantitative rates of newinfections.

Seismic assessment and retrofitting of the old URM railway station building in Padang City, Indonesia

The train is one of the means of land transportation between cities that is in demand by all levels of society. As a mass transportation capable of transporting passengers and goods in large quantities and cheaply, the train can be immediately implemented in Padang City, especially from Padang to the Minangkabau International Airport (BIM) in Pariaman regency. To support the program, re-activating the old train stations that are no longer in use such as Pulau Aer Station, should be done by the directorate general of transportation, Indonesia. This station building is located in Southern part of Padang City, Indonesia. This station building is an old unreinforced masonry (URM) building, which had heavily damaged after the earthquake on September 30th, 2009. Before re-activating this station, a building assessment and retrofitting of this station building are required. The building assessment is carried out both visually and through structural analysis, while the building retrofit is designed using the ferrocement layer method. The analysis result shows that the shear stress on the walls of the retrofitted building is able to withstand the working loads, including the earthquake load.

Sustainable Wireless Sensor Networks for Railway Systems Powered by Energy Harvesting from Vibration

The railroad is a particularly efficient means of transporting passengers and goods. In this field, safety, reliability, and punctuality are of great importance, despite harsh environmental conditions and variable loads. Predictive maintenance of train wagons, rails, and stations is becoming increasingly essential [1] and requires massive use of sensors for measuring relevant quantities, such as acceleration, temperature, pressure, strain, and changes in railroad tracks and train wheels.

Model of Building Maintenance Planning Using The Building Information Modeling (BIM)

Building maintenance is essential for the operation of the building to maintain the reliability and performance of the building to match its economic age. There are many buildings whose maintenance is inferior from a technical, administrative, and budgetary perspective, so an appropriate maintenance design model is needed according to the operational needs of the building. On the other hand, the development of digital information technology is getting faster and more widely used. One is Building Information Modeling (BIM), where the entire activity process works in collaboration and integration. Therefore, this study aims to develop a proper building maintenance design model using BIM. The method used is to apply building maintenance standards in Indonesia (Public Works Ministrial Regulation No 24/PRT/M/2008) in BIM supporting applications, namely Autodesk Revit (for visualizing 3D buildings) and Autodesk BIM 360 Ops (for maintenance management), as a case study using the Maintenance Management Design of Walini Station which is one of the Jakarta-Bandung fast train stations with very modern, complex and complicated building components. The maintenance design model is carried out through the following stages: (i) building modeling using Autodesk Revit based on shop drawings in 3D and can be applied to 4D and 5D needs; (ii) export Autodesk Revit results to the Autodesk BIM 360 Ops application because this application can store a database of all building operations; and (iii) conducting a maintenance design simulation using the Autodesk BIM 360 Ops application. The study results show that BIM technology can be used as a detailed, accurate, effective, efficient, and integrated maintenance design model. Keywords: Building Maintenance, Building Information Modeling (BIM), Autodesk Revit, Autodesk BIM 360 Ops, building maintenance model