Travel Situation Research Articles

ANALISIS PEMODELAN PEMILIHAN MODA TRANSPORTASI ANTARA SEPEDA MOTOR DENGAN ANGKUTAN UMUM

Movement activities can cause the mode selection process. Tridinanti University, as one of the education centers in Palembang city is one of the centers of movement for students. The basis of this research aims to observe the behavior of student motorcycle users with public transportation and analyze whether mode selection is influenced by changes in cost and travel time. This research was conducted with data from the observation approach, questionnaire results, literature review and data processing with the SPSS program in describing the travel situation for the two modes. An overview of the composition of the characteristics of travelers from survey data, it is known that the general characteristics of users in the selection of modes are 81.14% of motorcycle user respondents while 18.86% of public transportation user respondents. Based on gender, male respondents were 57.43% while female respondents were 42.57%. The reasons for choosing modes for motorcycles are time considerations of 47.18% and cost considerations of 15.85% while the reasons for choosing modes for public transportation are cost considerations of 36.36% and time considerations of 13.64%. The mode selection model between motorcycles and public transportation obtained (Usp-Umk) = -0.767-0.011C-0.024T. When the condition of attribute difference is equal to zero, the probability value of motorcycles is greater than the probability of public transportation for the attributes of travel time and cost. The model obtained from regression analysis of all data has the highest R2 price of 0.88% or 88% of the influence of the two attribute factors considered and the remaining 12% is influenced by attributes that have not been considered. In addition to the 2 travel attributes included in this study, several other attributes could also be considered for testing such as safety, convenience, and other influencing factors.

Some Advances in Pure Mathematics Made in the 19th Century [Around the Globe

This article is reprinted with permission of the James Clerk Maxwell Foundation (JCMF), which is dedicated to the life and history of Clerk Maxwell. A wealth of information is available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">http://www.clerkmaxwellfoundation.org/</uri> . In addition, the JCMF owns and maintains an extensive collection of Maxwell material at his birthplace, 14 India Street, Edinburgh, Scotland. Visitors are most welcome once the travel situation returns to normal. This article was arranged by David Forfar and James Rautio, both trustees of the JCMF.

When the Future is Now: An Experimental Study on the Role of Future Thinking and Affective Forecasting in Accommodation Decision-Making

When people make travel decisions, they consult their imagination, considering how they would feel in the respective travel situation. Both, researchers who examine this phenomenon and practitioners executing it, commonly hold the vague assumption of an evaluative cognitive process that enables tourists to factor such information into their decision-making process. The nature and functioning of such a process is largely unknown. The authors suggest that travelers, often subconsciously, mentally simulate future hotel stays and predict future feelings to inform their decision-making, a process referred to as affective forecasting. Executing an experimental design, the authors show that actively engaging in episodic future thinking to trigger affective forecasting increases travelers’ intentions toward holiday accommodations. This effect is mediated by hotel trust and risk perception, demonstrating that affective forecasting is an effective way for regaining tourists’ trust and reducing their perceived risk during a pandemic. Contributions to theory and practical implications are discussed.

An Homage to Heinrich Hertz: Part 2 [Around the Globe

This article is part 2 of the series “An Homage to Heinrich Hertz.” Part 1 was published in the February issue of IEEE Microwave Magazine [1]. Both are reprinted with permission of the James Clerk Maxwell Foundation (JCMF), which is dedicated to the life and history of Clerk Maxwell. A wealth of information is available at http://www.clerkmaxwellfoundation.org/. In addition, the JCMF owns and maintains an extensive collection of Maxwell material at his birthplace, 14 India Street, Edinburgh, Scotland. Visitors are welcome once the travel situation returns to normal. This article was arranged by David Forfar and James Rautio, both trustees of the JCMF.

Study on Traffic Status and Carbon Emission of Urban Transport in Beijing

At present, most of the literatures on transportation carbon emissions in China are to calculate the total amount of transportation carbon emissions. There are few literatures on carbon emission of specific transportation mode. There are few literatures on the calculation and analysis of urban traffic carbon emissions in Beijing. The historical data in these documents are very early, which can not effectively evaluate the current situation of urban transport in Beijing. Firstly, this paper analyzes the travel situation of Beijing residents in recent years. Then, based on the average daily passenger traffic volume and travel share rate of Beijing residents, a statistical model of urban transport vehicle energy consumption is established. Finally, the carbon emission of Beijing passenger transport is estimated.

Multisource Data-Driven Visual Analysis of Urban Crowd Travel

Many functional areas have been formed in the development of the city, and the gathering of taxis can basically reflect the travel situation of the crowd. Combining urban functional areas and taxi GPS data to analyze crowd travel conditions can provide decision support for the construction of smart cities. Therefore, this paper analyzed the travel situation of crowd in Changsha urban area based on multi-source data. First, this paper clusters the distribution of public transit stations in Changsha, and then imports the geographic location information of the cluster centers into the Voronoi diagram in ArcGis to divide the urban area of Changsha. Then the divided areas and Point of interest (POI) data are counted and analyzed to obtain the functionality of each area. Finally, the taxi GPS data is clustered according to the time period, and the cluster center is mapped to the urban functional area, to analyzed the crowd clustering situation of each functional area in Changsha in different time periods.

Maxwell on Physical Standards [Around the Globe

This article is reprinted with permission of the James Clerk Maxwell Foundation (JCMF), which is dedicated to the life and history of Clerk Maxwell. A wealth of information is available at http://www.clerkmaxwellfoundation.org/. In addition, the JCMF owns and maintains an extensive collection of Maxwell material at his birthplace, 14 India Street, Edinburgh, Scotland. Visitors are most welcome once the travel situation returns to normal. This article was arranged by David Forfar and James Rautio, both trustees of the JCMF.

A study on the Current Situation and Countermeasures of Green Travel for College Students

With the rapid development of urbanization, a number of problems such as traffic congestion and air pollution are becoming more and more serious. Green travel is an important part of urban planning, which can effectively alleviate environmental pollution. As an important part of urban population, college students have distinct characteristics in travel demand, travel mode, and other aspects. Their cognition of green travel also has a tremendous impact on urban traffic planning and development. Taking Shandong Agricultural University as a case study, this study investigated the green travel situation of college students in the form of questionnaire, and analyzed their travel characteristics and influencing factors. Most people think that when dealing with the traffic problems, the government should play a major role and put forward rectification measures; in the existing green travel mode, the use frequency of bicycles or electric vehicles is not very high, and there are many problems in the use process; for short-distance travel, many people use walking or co-riding, etc. After analyzing the relevant factors, this study proposed targeted measures to encourage and guide students to choose green travel.

The Model of Rail Transit Route Planning in Coastal Cities Based on Internet of Things

Wan, Y., 2020. The model of rail transit route planning in coastal cities based on Internet of Things. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 730–734. Coconut Creek (Florida), ISSN 0749-0208.The traditional route planning model is not integrated with the actual travel situation of coastal cities, so a route planning model based on the Internet of Things is designed. Firstly, we deploy the Internet of Things identification transmission equipment, integrate the collection nodes into high cohesion module, study the travel distribution and predict the passenger flow, establish the objective function of urban rail transit line planning according to the distribution of passengers, put forward the constraint conditions from three aspects of station number, station spacing and station location, build the rail transit line planning model with C / s system, and according to the actual situation of the city. Finally, we evaluate the plan and choose the best one. Through the comparison with the actual situation of the experimental city, it is proved that the scheme of the designed model planning is optimal, and the validity of the design model is verified.

There is nothing so practical as good theory for tracking destination image over time

Destination image has consistently been a popular theme in the tourism literature. This is due to the important role the construct can play in the intangible nature of consumers’ travel decisions. However, one temporal aspect, of how destination image might change over time, has attracted little academic research attention. This manuscript attempts to make a contribution to this gap in the literature by reporting key findings from an investigation into perceptions held of one of New Zealand’s most popular resort destinations, Rotorua, at three points in time over two decades. The research is narrowly focused on the perceptions of consumers in Rotorua’s largest domestic market, Auckland, and for a specific travel situation, which is short break holidays by car. The research design is based on Fishbein’s multi-attribute theory and Kelly’s personal construct theory. The key finding was minimal changes in Rotorua’s perceived strengths and weaknesses, relative to four competing destinations, in the target market, over the 20 year time period. We propose the theoretical foundations of the research design, and the efficacy of the data analysis, provide DMOs with a valid and reliable means to monitor the strengths and weaknesses of their destination over time.

Perceived risk of public transport travel during flooding events in Metro Manila, Philippines

Understanding the risks associated with traveling is essential to finding solutions for strengthening transport services, especially during adverse weather conditions. The current study performed an analysis of the perceived risk of public transportation users of Metro Manila travelers during a flood event. Questionnaire data collected among transit users demonstrated that travelers generally perceive low risks (no risk to somewhat not risky) in using public transportation services during a flood event. Furthermore, bivariate analyses and linear regression models revealed that perceived risks primarily depend on the respondent's characteristics and their typical travel situation. Prior travel experience during a flood and beliefs about changes over time in the frequency of flood events also played a role but were less associated with the perceived risk of public transport use during a flood. Recommendations for authorities were derived from the analyses so that public transport users may benefit from a resilient transit system that is prepared for any flood event.

Distinguer, ressentir, se transformer : aspects corporels du voyage russe à l’étranger au début du XIXe siècle

Exploring the practice and texts of early 19 th century foreign travel by Russians illustrates the extent to which corporeal aspects play an important role in it . The stranger ’ s body is always seen and noted by the observer as an integral part of ethnographic description . Particular attention is paid to certain specific criteria , notably beauty , health , height and physical condition etc . This attention to the stranger ’ s body is not accidental in the “ enlightened ” journey , but rather rational and pragmatic , insofar as it helps the traveler to systemize and explain cultural diversity . Moreover , the extremeness of a long and distant voyage often enables the traveler to reveal (and sometimes to transform ) their own body . Interaction in the environment (both natural and human ) makes the owner of the body to aware (or enables them to construct ) its borders , and thereby actualize the issue of identity . Most significantly , this issue is manifested in the topics of food and disease / treatment – both of which are associated with the problem of the body ’ s transformation and its becoming the Other . The required conditions for such practices are created in the travel situation , when the traveler ’ s body becomes a necessary tool and at the same time a polygon of diverse experiments with cultural borders and identity , a highly topical subject in Russian society in the early nineteenth century.

비행 중 변화하는 종축 무게중심 대처 비행성 향상을 위한 비선형 동적 모델 역변환 제어 개발

The aim of designing the inner-loop flight control law is to satisfy the flying quality requirements which include the change of CG(Center of Gravity) position due to fuel consumption, payloads drop and/or failure occurrence in major subsystems such as fuel system, etc. while operating in overall flight envelope. Since the position of CG directly affects the aircraft stability, the change of its position must be managed strictly not only by arranging the fuel tanks layout optimally in configuration design stage, but also by controlling fuel burn sequence in FMS(Fuel Management System) during flight. Additionally, by utilizing the additional informations such as weight and CG position into the inner-loop control law, improved flying qualities and maneuvering performance can be achieved in CG travel situation. In this paper, the NDI(Nonlinear Dynamic Inversion) control method which uses the CG position and weight information feedback variables is proposed. Since NDI is a novel control methodology that directly uses the vehicle dynamics, the effects of CG travel can be efficiently applied. The performances of the proposed control method are evaluated by numerical simulations including CG travel using the advanced supersonic trainer model.

Stopover destination image: A comparison of salient attributes elicited from French and Australian travellers

In the first 40 years of the destination marketing literature there has been little research published in relation to stopover destination image. While the destination image research stream has been one of the most popular in this domain, most studies to date have not been context-specific. That is to say the image of a destination has commonly been measured without reference to a specific travel situation. The aim of this research was to identify attributes of destinations deemed salient to travellers when considering a stopover during long haul travel. Underpinned by Personal Construct Theory, the study used the Repertory Test technique in personal interviews with French travellers. The findings are then compared to attributes elicited from Australian travellers in an earlier study. While there were a few key differences between the two samples, the commonality of stopover destination attribute salience will enable the development of a questionnaire to measure stopover destination image. Importantly, a number of the elicited stopover destination attributes have not been commonly used in generic destination image studies. The study highlights the value of engaging with the traveller in the questionnaire design stage, and goes some way to support the proposition that, due to the short stay nature of stopovers during long haul travel, destination attribute salience might differ to that for other travel situations.

User Behavior of Bikesharing Systems Under Demand–Supply Imbalance

Bikesharing systems have been expanding rapidly. They are recognized as a strategic tool to integrate transit and to foster sustainable transportation in urban areas. A critical problem that arises in the planning and deployment of a bikesharing system lies in demand–supply imbalance as the result of the spatiotemporal dynamics of demand patterns. The problem manifests itself in situations in which no bikes are available to rent and no docks are available for bike return at certain popular stations. This study developed a framework for modeling user behavior in response to such situations. Particular emphasis was placed on user on-site choice behavior and the behavioral aspect related to wait time if a decision to wait for the next bike or dock was made. These behaviors were approached with the use of a discrete choice model and a duration model, respectively. Further, a discrete-continuous process was proposed to address the potential interrelation that existed between the choice to wait and the length of waiting time to be endured. Within the developed framework, the models were estimated on the basis of the data from a revealed preference–stated preference survey conducted on the YouBike system in Taipei, Taiwan. The estimation results provided insights into user familiarity and uncertainty toward the system, travel situation, or environment and the associated effects on user behavior of a bikesharing system under a demand–supply imbalance.

German Conference on Chemoinformatics 2010 – organizers' notes

The Chemistry-Information-Computers (CIC) division [1] of the German Chemical Society (GDCh) invited the chemoinformatics and modeling community from the 7th to the 9th November 2010 to Goslar, Germany, to participate in the 6th German Conference on Chemoinformatics (GCC 2010). The international symposium addressed a broad range of modern research topics in the realm of computers and chemistry. The conference focused on recent developments and trends in the fields of • Chemoinformatics and Drug Discovery • Chemical Information, Patents and Databases • Molecular Modeling • Computational Material Science and Nanotechnology In addition, contributions from other research areas of Computational Chemistry were welcome. Similar to other conferences in the Life Science sector the German Conference on Chemoinformatics was faced with a decreasing number of participants in 2010. This is assumed to be mainly caused by travel cost cuts in industry due to the global economic crisis. Nevertheless, a large number of scientists (156 participants, Figure ​Figure1)1) from 18 nations were attracted by the excellent scientific program established by the scientific advisory board and attended the GCC 2010. The large number of attendees from countries other than Germany demonstrates that the conference is an internationally well-established event in the global Chemoinformatics and Modelling community (see Figure ​Figure2A).2A). Despite the travel situation in industry, a good ratio between academic institutes, industry and exhibitors could be achieved (see Figure ​Figure2B2B). Figure 1 Participants of the 6. German Conference on Chemoinformatics, November 7–9, 2010, Goslar, Germany. Figure 2 A) 156 participants from 18 nations attended the GCC2010. Most participants (99) were from Germany followed by 16 attendees from the United Kingdom. Participants from the USA and Switzerland followed on the third position with 6 attendees each. B) 56% ... Traditionally, the conference was opened by a “Free-Software-Session” on Sunday afternoon right before the official conference opening at 5 pm. Six Open Source projects were presented in “Free-Software-Session”. This was the largest number of contributions to this session in the history of the GCC. The audience followed presentations of PostgreSQL (Bayer Business Services), OCHEM (Helmholtz Zentrum Munchen), Knime (University of Konstanz), Indigo & Ketcher (SciTouch), and MosGrid (MosGrid Consortium). The “Chemoinformatics Market Place” took place at the same time and included software tutorials by the Chemical Computing Group (“New Features of MOE 2010”) and BioSolveIT (“Fragment-Based Lead Design in Teams”). The scientific program started with an entertaining and enthralling evening lecture giving by Colleen Fitzpatrick (“Hand in Snow”). In addition, the program of the following two days included plenary lectures of six well known invited speakers from industry and academia (Wolfgang Guba, Roche, Swiss; Andrew R. Leach, GSK, UK; Hans Fraaije, Leiden University, The Netherlands; Jurgen Gmehling, Oldenburg University, Germany; Gerhard Klebe, Marburg University, Germany; Holger Gohlke, Dusseldorf University, Germany), 17 lectures as well as 43 poster presentations. Besides the scientific program a special highlight of the conference were the awards (see Figure ​Figure3).3). In contrast to the last GCC in 2009, two different awards could be handed over for excellent scientific work this year. Prof. Jurgen Gmehling from the University of Oldenburg was presented with the Gmelin-Beilstein-Denkmunze [2] award for his groundbreaking contributions in the field of compound databases and fragment methods for the prediction of chemical properties used in technical chemistry. The laudatory speech was given by Prof. Onken and the award was handed over by the president of the German Chemical Society Prof. Michael Droscher. Furthermore, the FIZ-CHEMIE-Berlin awards [3] took place on Monday afternoon. The CIC division awards this price each year to the best diploma thesis and the best PhD thesis in the field of Computational Chemistry. The price for the PhD thesis was awarded to Dr. Simone Fulle from the group of Prof. Dr. Holger Gohlke, Goethe University of Frankfurt for her dissertation “Constraint counting on RNA and ribosomal structures: Linking flexibility and function”. The award for the best diploma thesis was given to Karen Schomburg from the group of Prof. Matthias Rarey, University of Hamburg for her excellent master thesis with the title “Visualization of molecular subgraph pattern using the example of SMARTS pattern”. Figure 3 FIZ CHEMIE Berlin Awards 2010 and GDCh Gmelin-Beilstein-Denkmunze Award: from left to right, Frank Oellien (Chair of the GDCh-CIC division), Ulfert Onken (Laudatory Gmelin-Beilstein-Denkmunze Award), Karen Schomburg (FIZ CHEMIE Berlin ...

Comparison of Route Changing Behaviors Associated with Perception and Potential Use of Advanced Traveler Information System (ATIS) in Southeast Asian Cities

The Advanced Traveler Information System (ATIS) has been applied in many countries because it has been proved as one of potential solutions to solve congestion problem and to improve the quality of driving. Providing with additional traffic information, it is expected to influence their travel decision on route and destination selection, or even on cancellation of the trip. A number of studies have been conducted in order to improve the performance of ATIS in various ways, such as the setting of the system, the content of information, the accuracy of the information, etc. Yet the effectiveness of the system is heavily dependent on the drivers behavior and response to the given information. The behaviors are somewhat unique for specific individuals (cities). The primary objective of this study was to analyze the behavior of in different Southeast Asian major cities; Bangkok (Thailand), Kuala Lumpur (Malaysia), and Singapore (Singapore), pertaining to changing route under influence of traffic information availability and travel situation. Users characteristics including socio-economic and trip characteristic as well as the responses to traffic information were investigated through Revealed Preference. The results illustrate that the behavior of in the three cities are different pertaining to the factors that affect them to change the route. Their socio-economic and trip characteristics play a role in determining their route changing behavior.

An Ontology For Mobile Situation Aware Systems

This paper introduces a novel design artefact, namely a generic situation management ontology based on situation theory. This ontology contributes to the foundation knowledge base of mobile service delivery systems for future research and systems design. It demonstrates the applicability, and feasibility of using situation theory in the design of reactive information systems. The support within the ontology for context based filtering for situation detection also contributes to the efficiency of implementation and operation of situation driven reactive information systems. Highly mobile people (HMPs) require flexible, reactive service delivery due to their regularly changing location and activities and the lack of a wired network connection. A mobile service delivery system should be able to detect relevant events that occur such as change of location, availability of new last-minute specials, sales opportunities and safety issues and then reactively take action in response to these events. This paper describes a generic situation management ontology that was developed in OWL using the ontology development tool, Protege. The ontology is combined with domain specific classes in the travel domain to create a travel situation management ontology that can be used as the basis for a ubiquitous mobile travel service application. Using a typical independent traveller scenario, the travel situation management ontology is instantiated to demonstrate its effectiveness.

A Travel Situation Management Ontology

Highly mobile people (HMP) such as international executives, airline crew, international sportspersons, and independent travelers require flexible, reactive service delivery due to their regularly changing location and activities and the lack of a wired network connection. A mobile service delivery system should be able to detect relevant travel-related events such as change of location, availability of new last-minute specials, sales opportunities, and safety issues and then reactively take action in response to those events. This article describes a generic travel situation management ontology that was developed in the Ontology Language for the World Wide Web (OWL) using the ontology development tool, Prot駩. This ontology can be used as the basis for mobile travel service applications.

Mental confusion associated with scopolamine patch in elderly with mild cognitive impairment (MCI)

Mental confusion or delirium can occur after application of scopolamine patch. However, predisposing factors for scopolamine-induced delirium are not known. It is expected that undetected incipient dementia or mild cognitive impairment (MCI) may be prone to develop mental confusion after applying the scopolamine patch. For the past 5 years, we found seven elderly women who had experienced transdermal scopolamine-induced mental confusion. They underwent neuropsychological tests after recovery from mental confusion (mean duration from onset to the test: 66 days). The results showed that all the patients were impaired in at least one of cognitive domains, fulfilling the criteria of MCI. These findings suggest that scopolamine patch-induced mental confusion should be included in the differential diagnoses of mental confusion in elderly, especially in travel situation, and that older people with undetected MCI are prone to develop scopolamine patch-induced mental confusion.