scholarly journals Analisis Potensi dan Kesiapan Penerapan [Electronic Road Pricing di Wilayah Perkotaan The Analysis of Potential and Readiness of the Implementation of Electronic Road Pricing in Urban Area]

2018 ◽  
Vol 30 (2) ◽  
pp. 85-100
Author(s):  
Arbie Sianipar

Electronic Road Pricing (ERP) is one of the appropriate efforts to reduce the vehicle volume in order to solve the traffic congestion in urban areas. Nevertheless, the implementation of ERP requires to be supported by the provision of the adequate public transportation to substitute the private transportation. This study aims to find out the potential and the readiness of the implementation of ERP in urban areas. Ths study employed descriptive method using the performance analysis of the roads and the perception analysis of the user on the implementation of ERP policy. The result of the analysis shows that the level of V/C Ratio of the roads in Medan City was ≥ 0.80 and the level of service was D. The levels show that the performance of road service is poor; therefore, the traffic engineering and management in Medan City is necessary. The perception analysis shows that 56% of the respondents object the implementation of ERP in Medan City.Keywords: Analysis of Roads Performance, Electronic Road Pricing, Traffic Engineering, Urban Traffic Congestion. AbstrakERP (Electronic Road Pricing) merupakan salah satu upaya yang tepat untuk mengurangi volume kendaraan guna mengatasi persoalan kemacetan di perkotaaan. Namun, penerapan ERP perlu didukung dengan penyediaan angkutan umum yang memadai sebagai pengganti angkutan pribadi. Kajian ini bertujuan untuk mengetahui potensi dan kesiapan penerapan kebijakan ERP di wilayah perkotaan. Kajian ini menggunakan metode deskriptif dengan analisis kinerja ruas jalan dan analisis persepsi pengguna jalan terhadap penerapan kebijakan ERP. Hasil analisis diperoleh nilai V/C Ratio Jalan di Kota Medan ≥0,80 dan nilai level of service D. Nilai tersebut menunjukkan bahwa kinerja pelayanan jalan buruk sehingga perlu dilakukan rekayasa dan manajemen lalu lintas di Kota Medan. Analisis persepsi menunjukkan 56% responden menolak penerapan ERP di Kota Medan.Kata kunci: Kemacetan Perkotaan, Electronic Road Pricing, Analisis Kinerja Ruas Jalan, Rekayasa Lalu Lintas.

2019 ◽  
Vol 11 (18) ◽  
pp. 5092 ◽  
Author(s):  
Daniel Albalate ◽  
Xavier Fageda

Congestion and road accidents are both considered essential challenges for sustainable mobility in large cities, but their relationship is only partially explored by the literature. In this paper, we empirically examine different public policies aimed at reducing urban traffic congestion but which may also have indirect effects on road accidents and casualties. We use data from 25 large urban areas in Spain for the period 2008–2017 and apply econometric methods to investigate how a variety of public policies do affect both negative externalities. Although the relationship between congestion and road safety is complex, we find that the promotion of certain modes of public transportation and the regulation of parking spaces may contribute to making cities more sustainable, both in terms of the time spent traveling and the probability of being affected by an accident. Considering whether policies addressing congestion improve or damage road safety as an indirect result is a useful approach for local policy-makers and planners in their attempt to get sustainable transportation outcomes.


2021 ◽  
Vol 11 (1) ◽  
pp. 16
Author(s):  
Gabriela Droj ◽  
Laurențiu Droj ◽  
Ana-Cornelia Badea

Traffic has a direct impact on local and regional economies, on pollution levels and is also a major source of discomfort and frustration for the public who have to deal with congestion, accidents or detours due to road works or accidents. Congestion in urban areas is a common phenomenon nowadays, as the main arteries of cities become congested during peak hours or when there are additional constraints such as traffic accidents and road works that slow down traffic on road sections. When traffic increases, it is observed that some roads are predisposed to congestion, while others are not. It is evident that both congestion and urban traffic itself are influenced by several factors represented by complex geospatial data and the spatial relationships between them. In this paper were integrated mathematical models, real time traffic data with network analysis and simulation procedures in order to analyze the public transportation in Oradea and the impact on urban traffic. A mathematical model was also adapted to simulate the travel choices of the population of the city and of the surrounding villages. Based on the network analysis, traffic analysis and on the traveling simulation, the elements generating traffic congestion in the inner city can be easily determined. The results of the case study are emphasizing that diminishing the traffic and its effects can be obtained by improving either the public transport density or its accessibility.


2020 ◽  
Vol 9 (1) ◽  
pp. 3458-3465
Author(s):  
T.D.C. Pushpakumara ◽  
◽  
U.L.P. Nimesh ◽  

Traffic congestion is an enormous problem at peak hours in western province. Existing transport system is not capable to overcome these complexity situations. Therefore, Srilankan government needs to find out different mode of transport to save time and money and finally economy of the country. In the past history, there was a rich water transportation system over the country. Specially, the western province has a well-distributed network of inland waterways, comprising of main rivers, streams, canals, lakes, and tanks. Most of the time, the existing waterways were used for freight transportation (timber, sand, brick, and tiles. compare to Public transportation. The study is to determine the efficient use of waterways for the public transportation focusing the travel time and fuel consumption. The existing water way network was map and find availability of other network connectivity using ArcGIS and Google Earth Pro software. Then compare it with an existing public transportation mode (bus) and checked the suitability of usage of water transportation as an alternative to reduce the existing traffic congestion problem. And proposed water way transport system, that capable of potential and strategic way to reduce the traffic congestion problem in Colombo and its sub urban areas.


Author(s):  
Glen Weisbrod ◽  
Don Vary ◽  
George Treyz

Key findings are provided from NCHRP Study 2-21, which examined how urban traffic congestion imposes economic costs within metropolitan areas. Specifically, the study applied data from Chicago and Philadelphia to examine how various producers of economic goods and services are sensitive to congestion, through its impact on business costs, productivity, and output levels. The data analysis showed that sensitivity to traffic congestion varies by industry sector and is attributable to differences in each industry sector's mix of required inputs and hence its reliance on access to skilled labor, access to specialized inputs, and access to a large, transportation-based market area. Statistical analysis models were applied with the local data to demonstrate how congestion effectively shrinks business market areas and reduces the "agglomeration economies" of businesses operating in large urban areas, thus raising production costs. Overall, this research illustrates how it is possible to estimate the economic implications of congestion, an approach that may be applied in the future for benefit-cost analysis of urban congestion-reduction strategies or for development of congestion pricing strategies. The analysis also shows how congestion-reduction strategies can induce additional traffic as a result of economic benefits.


Author(s):  
Isaac K. Isukapati ◽  
Hana Rudová ◽  
Gregory J. Barlow ◽  
Stephen F. Smith

Transit vehicles create special challenges for urban traffic signal control. Signal timing plans are typically designed for the flow of passenger vehicles, but transit vehicles—with frequent stops and uncertain dwell times—may have different flow patterns that fail to match those plans. Transit vehicles stopping on urban streets can also restrict or block other traffic on the road. This situation results in increased overall wait times and delays throughout the system for transit vehicles and other traffic. Transit signal priority (TSP) systems are often used to mitigate some of these issues, primarily by addressing delay to the transit vehicles. However, existing TSP strategies give unconditional priority to transit vehicles, exacerbating quality of service for other modes. In networks for which transit vehicles have significant effects on traffic congestion, particularly urban areas, the use of more-realistic models of transit behavior in adaptive traffic signal control could reduce delay for all modes. Estimating the arrival time of a transit vehicle at an intersection requires an accurate model of dwell times at transit stops. As a first step toward developing a model for predicting bus arrival times, this paper analyzes trends in automatic vehicle location data collected over 2 years and allows several inferences to be drawn about the statistical nature of dwell times, particularly for use in real-time control and TSP. On the basis of this trend analysis, the authors argue that an effective predictive dwell time distribution model must treat independent variables as random or stochastic regressors.


2013 ◽  
Vol 11 (3) ◽  
Author(s):  
Syahriah Bachok ◽  
Mariana Mohamed Osman ◽  
Ummi Aqilah Khalid ◽  
Mansor Ibrahim

In facing the challenges of urban traffic congestion, when people are becoming more dependent on private vehicles, public transportation services should be functioning effectively as attractive alternative modes. This research evaluates how rail public transport users perceive day to day quality of the provided services. The study investigates commuters‟ satisfaction levels of various trip making aspects on board KTM Komuter trains, a commuter services operated by the company Keretapi Tanah Melayu Berhad (KTMB), a heavy rail operator in Kuala Lumpur, Malaysia. A systematic probabilistic sampling questionnaire survey was conducted among the users during the month of December 2011 until March 2012. A sample of 1000 questionnaire forms returned by respondents have been gathered for purposes of ascertaining the overall satisfaction level and analysis on selected aspects of the performance indicators. The results have shown that the majority of the respondents perceived KTM Komuter services to be below the levels that the users had expected, especially the non-adherence to published schedule and travel times, frequency or headways, capacity, the physical conditions of the rail coaches and the information on delays. Most of them expected better services to increase their satisfaction levels. Hence, it is concluded that for the rail public transportation to be sustainable and continuously relevant, the operator has to increase KTM Komuter‟s effectiveness and efficiency or the services have to in the least remain attractive to the existing users.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
William Agyemang ◽  
Emmanuel Kofi Adanu ◽  
Steven Jones

Like many countries in sub-Saharan Africa, Ghana has witnessed an increase in the use of motorcycles for both commercial transport and private transport of people and goods. The rapid rise in commercial motorcycle activities has been attributed to the problem of urban traffic congestion and the general lack of reliable and affordable public transport in rural areas. This study investigates and compares factors that are associated with motorcycle crash injury outcomes in rural and urban areas of Ghana. This comparison is particularly important because the commercial use of motorcycles and their rapid growth in urban areas are a new phenomenon, in contrast to rural areas where people have long relied on motorcycles for their transportation needs. Preliminary analysis of the crash data revealed that more of the rural area crashes occurred under dark and unlit roadway conditions, while urban areas recorded more intersection-related crashes. Additionally, it was found that more pedestrian collisions happened in urban areas, while head-on collisions happened more in rural areas. The model estimation results show that collisions with a pedestrian, run-off-road, and collisions that occur under dark and unlit roadway conditions were more likely to result in fatal injury. Findings from this study are expected to help in crafting and targeting appropriate countermeasures to effectively reduce the occurrence and severity of motorcycle crashes throughout the country and, indeed, sub-Saharan Africa.


2020 ◽  
Vol 6 (2) ◽  
pp. 34
Author(s):  
Zhiran Wang

<p class="MsoNormal" style="margin-bottom: 0.0000pt; text-indent: 0.0000pt; mso-layout-grid-align: none; line-height: 15.0000pt; mso-line-height-rule: exactly;"><span style="mso-spacerun: 'yes'; font-family: 'Times New Roman'; mso-fareast-font-family: 宋体; mso-font-kerning: 1.0000pt;">With the acceleration of urbanization, urban public transportation has been developed and improved for a long time as well. Currently, China’s traditional and single ground transportation system has been transformed into a multi-functional and compound multi-transportation one. However, the congestion problem in cities has become increasingly serious. Cities in different countries should take different measures to implement the accumulation pole. They also should focus on energy source consumption, environmental pollution and health care brought by traffic congestion. The practice and research countermeasures of relieving urban traffic congestion can be divided into developmental, managerial and restrictive measures. Urban traffic congestion is a systematic problem, which needs to be treated by comprehensive measures, and given priority to the use of developmental measures in order to improve urban traffic supply capacity. It is necessary to strive to enhance urban traffic management level, practice administrative measures. With historical basis, development level and fairness of urban development in China need to be taken into account, and carefully consider the use of restrictive measures.</span></p><p class="MsoNormal" style="margin-top: 70pt; margin-bottom: 8pt; text-indent: 0pt;"><strong><span style="font-family: 'Times New Roman'; font-size: 16pt;">Research and Strategy of Urban Traffic Congestion Control</span></strong><strong></strong></p>


2020 ◽  
Vol 22 (2) ◽  
pp. 127-136
Author(s):  
Anita Ratnasari Rakhmatulloh ◽  
Diah Intan Kusumo Dewi ◽  
Dinar Mutiara Kusumo Nugraheni

The growing number of private transportation ownership from year to year creates congestion problems, especially in urban areas. Public transportation conditions such as the Rapid Transit Bus (BRT) are an alternative way to use transportation. BRT Trans Semarang Corridor 1 is the busiest public transportation route in Semarang City that stretches from Mangkang Terminal to Penggaron Terminal. About 50% of the passengers of BRT Trans Semarang Corridor 1 chose to walk to and from the bus stops. However, in reality, currently, the conditions of the pedestrian paths are less than optimal in creating pedestrian comfort, and the integration system is still minimal with various modes. The purpose of this study is to identify a travel demand model suitable for pedestrian BRT Trans Semarang Corridor 1 passenger using the new urbanism 3D approach (Density, Diversity, Design). Where the data collection for analysis needs using naturalistic observation techniques by looking at the condition of the object of research in a more real way directly to the field. Density analysis used descriptive statistical analysis methods and simulated interpolation of population and building density data using the ArcGIS 10.3 application to generate pedestrian demand for their environmental density. In analyzing diversity using the land-use distribution simulation method with ArcGIS 10.3 and FAR (Floor Area Ratio) analysis using the 2016 Sketchup simulation. Compile a pedestrian path model recommendation under pedestrian demand.


2020 ◽  
Vol 10 (16) ◽  
pp. 5689
Author(s):  
E. Frutos Bernal ◽  
A. Martín del Rey ◽  
P. Galindo Villardón

With the growth of cities, urban traffic has increased and traffic congestion has become a serious problem. Due to their characteristics, metro systems are one of the most used public transportation networks in big cities. So, optimization and planning of metro networks are challenges which governments must focus on. The objective of this study was to analyze Madrid metro network using graph theory. Through complex network theory, the main structural and topological properties of the network as well as robustness characteristics were obtained. Furthermore, to inspect these results, multivariate analysis techniques were employed, specifically HJ-Biplot. This analysis tool allowed us to explore relationships between centrality measures and to classify stations according to their centrality. Therefore, it is a multidisciplinary study that includes network analysis and multivariate analysis. The study found that closeness and eccentricity were strongly negatively correlated. In addition, the most central stations were those located in the city center, that is, there is a relationship between centrality and geographic location. In terms of robustness, a highly agglomerated community structure was found.


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