scholarly journals Collective benefits in traffic during mega events via the use of information technologies

2017 ◽  
Vol 14 (129) ◽  
pp. 20161041 ◽  
Author(s):  
Yanyan Xu ◽  
Marta C. González

Information technologies today can inform each of us about the route with the shortest time, but they do not contain incentives to manage travellers such that we all get collective benefits in travel times. To that end we need travel demand estimates and target strategies to reduce the traffic volume from the congested roads during peak hours in a feasible way. During large events, the traffic inconveniences in large cities are unusually high, yet temporary, and the entire population may be more willing to adopt collective recommendations for collective benefits in traffic. In this paper, we integrate, for the first time, big data resources to estimate the impact of events on traffic and propose target strategies for collective good at the urban scale. In the context of the Olympic Games in Rio de Janeiro, we first predict the expected increase in traffic. To that end, we integrate data from mobile phones, Airbnb, Waze and transit information, with game schedules and expected attendance in each venue. Next, we evaluate different route choice scenarios for drivers during the peak hours. Finally, we gather information on the trips that contribute the most to the global congestion which could be redirected from vehicles to transit. Interestingly, we show that (i) following new route alternatives during the event with individual shortest times can save more collective travel time than keeping the routine routes used before the event, uncovering the positive value of information technologies during events; (ii) with only a small proportion of people selected from specific areas switching from driving to public transport, the collective travel time can be reduced to a great extent. Results are presented online for evaluation by the public and policymakers ( www.flows-rio2016.com (last accessed 3 September 2017)).

2017 ◽  
Vol 5 (3) ◽  
pp. 371
Author(s):  
Sari Priyanti

ABSTRACTCervical cancer was non communicable desease that worries the public and causes an increase mortality in women. One of the first sign causes of cervical cancer is occourrence of Leucorrhoe. The incidence of Leucorrhoe in women Indonesia by 90% of which >75% of women experience once of leucorrhoe and experience ≥ 2 times by 25%. Leucorrhoe should not be considered an ordinary thing because can be caused to itchy on genetalia, pain during sexsual, infection  can be caused odema on genetalia, hot like burned on vagina even the impact if not treated promptly will caused infertility and cancer. Aims of study was to analyze factors of influenced on Leucorrhoe incident. Design of study was cross sectional study. Population was women of childbearing age who use contraceptives in the karang jeruk village, Jatirejo sub district, Mojokerto district in March of 2017. Sample in this study was 33 people. Data analyze with logistic regresion. Result of study showed contraceptive and sexsual activity has significant influenced with leucorrhoe (PR = 10.000; 95% CI= 1,732-57,722 dan PR=8,750; 95% CI=1,466-52,232). Suggestion: should be married and have first sexual intercourse for the first time at the age of  ≥ 20 years, limit the number of children not more than 2 as the greater the number of children the greater the risk of Leucorrhoe, and not using hormonal contraception for a along time that more than 2 years. Keywords: contraceptive,sexsual activity, leucorrhoe


2020 ◽  
Vol 12 (15) ◽  
pp. 6128
Author(s):  
Bongseok Kim ◽  
Hyeonmyeong Jeon ◽  
Bongsoo Son

In the event of a nuclear accident, evacuation is the most effective protective action for the public. During the evacuation, total travel time is a key measure to protect the public because it is directly related to the public’s radiation exposure. Thus, strategies that reduce the total travel time are needed for a safer nuclear emergency plan. Many studies on evacuation strategies so far have suggested the methodology of effective routing decisions or delay management. Despite the application of those strategies during evacuation, the effectiveness of those strategies, in reality, varies depending on the level of travel demand. In this study, evacuation strategies based on travel demand levels were evaluated based on the case of the Emergency Planning Zone (EPZ) of HANARO, the nuclear research reactor in the Republic of Korea. As a result, it was confirmed that effective evacuation strategies could be applied differently according to travel demand levels.


2016 ◽  
Vol 92 (5) ◽  
pp. 143-166 ◽  
Author(s):  
Jagan Krishnan ◽  
Jayanthi Krishnan ◽  
Hakjoon Song

ABSTRACT We investigate the impact of the Public Company Accounting Oversight Board's (PCAOB) first-time inspections of foreign accounting firms by examining abnormal accruals around the inspection year, and the value relevance of accounting numbers around the inspection report date, for their U.S. cross-listed clients. We document lower abnormal accruals in the post-inspection period, and greater value relevance of accounting numbers in the post-report period for clients of the inspected auditors, compared with non-cross-listed clients or clients of non-inspected auditors within the inspected countries. Comparisons of the PCAOB's joint inspections with PCAOB stand-alone inspections indicate that while both experience lower post-inspection abnormal accruals, the former benefit more than the latter. The value relevance measure, in contrast, shows greater increases for the PCAOB stand-alone inspections than for joint inspections. Comparing the inspection effects for auditors with and without deficiency reports, we find no systematic differences for accruals or for value relevance.


2021 ◽  
Vol 45 (4) ◽  
pp. 28-40
Author(s):  
I.B. Omel’chenko ◽  
◽  
V.K. Koshkina ◽  
K.Yu. Chudinov ◽  
◽  
...  

Digital technologies are being actively introduced into our life and economy that it is often impossible to track all innovations and the resulting effect of their appearance; the population quickly adapts and gets used to them. Similar trends are observed in the public sector. Visitors to clinics, museums, Multifunctional Public Services Centers, and other institutions easily use an electronic system that puts a queue to a specialist, use various services and gadgets. Due to digitalization, remote work is gaining more popularity, especially among young people, pensioners and women. The remote work market plays a very important role in the modern economy. As an extremely complex distribution mechanism, it ensures the connection of workers to remote workplaces. Thus, it affects both productivity and growth rates, as well as many other parameters of the economy as a whole. Digitalization is becoming such an important factor in increasing labor productivity and improving the quality of life that the changes taking place in the market are considered as the onset of a new stage of economic development. Currently, the development of digitalization is primarily associated with the introduction of digital communication technologies, the platform for which is the Internet and mobile devices. Information technologies are being integrated into all spheres of economic activity. In this regard, the nature of labor, as well as labor functions are undergoing dramatic changes, the proportion of work performed remotely or using specialized software is increasing. In this regard, the work intensity (provision of services) requires attention, which directly depends on the updating of the methodology of labor rationing. Within the framework of this article, the methodological foundations of labor rationing in the public sector are analyzed, considering the impact of digitalization and automation processes on labor rationing.


Author(s):  
Ryosuke Abe ◽  
Kay W. Axhausen

This study estimates the impact of major road supply on individual travel time expenditures (TTEs) using data that cover 30-year variations in transportation infrastructure and travel behavior. The impacts of the supply of road and rail infrastructure are estimated with a data set that combines records of large-scale household travel surveys in the Tokyo metropolitan area conducted in 1978, 1988, 1998, and 2008. Linear and Tobit models of individual TTEs are estimated by following the behavior of birth cohorts over the 30-year period. The models incorporate the changes in transportation infrastructure, measured as lane kilometers of two levels of major road stock and vehicle kilometers of urban rail service. The results show significant negative effects of lane kilometers for higher-level and lower-level major roads on the TTEs for all travel purposes and for commuting, after controlling for socioeconomic backgrounds and generations of individuals. This study discusses that, in Tokyo, the estimated effect is more likely to reflect the effect of a major road network per se on individual TTEs than the (indirect) effect of major road supply on individual TTEs working through land development activities (i.e., induced car travel demand). For example, the caveat is that actual road investment decisions still need to consider the induced component of road traffic in addition to the (direct) effect that is estimated in this study.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4163
Author(s):  
Jamil Hamadneh ◽  
Domokos Esztergár-Kiss

Introducing autonomous vehicles (AVs) on the market is likely to bring changes in the mobility of travelers. In this work, extensive research is conducted to study the impact of different levels of automation on the mobility of people, and full driving automation needs further study because it is still under development. The impacts of AVs on travel behavior can be studied by integrating AVs into activity-based models. The contribution of this study is the estimation of AVs’ impacts on travelers’ mobility when different travel demands are provided, and also the estimation of AVs’ impact on the modal share considering the different willingness of pay to travel by AVs. This study analyses the potential impacts of AVs on travel behavior by investigating a sample of 8500 travelers who recorded their daily activity plans in Budapest, Hungary. Three scenarios are derived to study travel behavior and to find the impacts of the AVs on the conventional transport modes. The scenarios include (1) a simulation of the existing condition, (2) a simulation of AVs as a full replacement for conventional transport modes, and (3) a simulation of the AVs with conventional transport modes concerning different marginal utilities of travel time in AVs. The simulations are done by using the Multi-Agent Transport Simulation (MATSim) open-source software, which applies a co-evolutionary optimization algorithm. Using the scenarios in the study, we develop a base model, determine the required fleet size of AVs needed to fulfill the demand of the different groups of travelers, and predict the new modal shares of the transport modes when AVs appear on the market. The results demonstrate that the travelers are exposed to a reduction in travel time once conventional transport modes are replaced by AVs. The impact of the value of travel time (VOT) on the usage of AVs and the modal share is demonstrated. The decrease in the VOT of AVs increases the usage of AVs, and it particularly decreases the usage of cars even more than other transport modes. AVs strongly affect the public transport when the VOT of AVs gets close to the VOT of public transport. Finally, the result shows that 1 AV can replace 7.85 conventional vehicles with acceptable waiting time.


2018 ◽  
Vol 2 (1) ◽  
pp. 22-33
Author(s):  
Mariana Diah Puspitasari ◽  
Dedik Tri Istiantara

In July 25th, 2013 Indonesia for the first time provided rail link service from and to an airport. It particularly was operated from and to Kualanamu International Airport (KNIA), Deli Serdang, North Sumatera, which was also operated for the first time on that date. Managing the airport rail link service, a private company namely PT. Railink basically is the subsidiary company of PT. Angkasa Pura II (Persero) and PT. Kereta Api Indonesia (Persero). The price of train ticket, in fact, is getting higher as time goes by. It is noted that the ticket price has increased from IDR 80K to IDR 100K since January 15th, 2015. Concerning this situation, this study is conducted to investigate the demand elasticity of the airport rail link service from and to Kualanamu International Airport as well as factors in taking the airport rail link. The result of the study reveals that the demand of airport rail link service as the impact of the increasing of the ticket price is inelastic since its value of elasticity reaches -0.38. The other result, moreover, finds six reasons influencing people to go with airport rail link: comfort, punctuality, speed or travel time, practicality, access to train station, and other modes’ tariff.


Author(s):  
Tra Thanh Ngo ◽  
Tuyen Van Tran ◽  
Diep Van Nguyen

This study uses the theory of market timing in considering capital structure of the sample of 430 companies which are listed on Vietnam's stock market and implemented IPO in the period of 2006 - 2012. Following the research method of Alti (2006), the article used the variable HOT to represent the factor of market timing in order to understand the relationship between this variable and leverage variable in the short-term (in the year of IPO) and in the long-term (year of IPO + 1, IPO + 2, ..., IPO + 6). The results showed no statistically significant evidence about the negative relationship between the HOT and leverage ratios. It implies that in the first time that companies issue their share capital to the public, the ―active‖ or ―gloomy‖ situation of market is not related to the leverage ratio at the moment of observation. In addition, the results also showed that variables relating to characteristics of company such as growth potential, profitability and scale have a statistically significant relation to capital structure and tangible has no impact on leverage ratio.


2020 ◽  
Vol 19 (8) ◽  
pp. 1512-1530
Author(s):  
K.V. Mal'tsev ◽  
D.E. Ershov

Subject. The development of modern information technologies determines the emergence of new opportunities for obtaining empirical data on household consumption. This allows the formation of new, alternative indicators characterizing various aspects of the standard of living. The article describes one of these indicators, i.e. the free money index. Objectives. The purpose is to show the possibilities of the free money index in the analysis of living standards of the population. Methods. The empirical basis of the study is the data of the Federal State Statistics Service and Romir Consumer Scan Panel. Results. We calculated the free money index for households in Russia from 2008 to 2019. In general, the index has an upward trend, except 2009 and 2015. It includes cities with different population and takes into account the level of inflation, physical volume of purchases by four selected products, and seasonal fluctuations. Conclusions. The free money index, differing from the purchasing power, the wealth index and other indicators, characterizes the structure and changes in household consumption, and objectively reflects the well-being of the population. The free money index computation is necessary for the current analysis of economic and social policy measures. In more general terms, it can also be used to study the household behavior in micro- and macroeconomic aspects, the public welfare, and the impact of income distribution on economic development.


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