scholarly journals Analysis of the Impact of Flyover Development on Communities in the Market

2020 ◽  
pp. 47-52
Author(s):  
Jihan Melasari ◽  
Rafki Imani ◽  
Juni Saputra

Traffic congestion that occurs almost everyday in Pekanbaru City has caused losses in travel time and economic losses such as waste of fuel, loss of productive time and health costs. One of the causes of this congestion is the growth of road infrastructure that is not proportional to the growth in the number of motorized vehicles. Besides that, the existence of Pasar Pagi Arengka at the Jl. HR Soebrantas and Jl. Soekarno-Hatta, Riau Province, has also added to the level of congestion. Overcoming this problem, the Riau government together with the Dinas Pekerjaan Umum (PU) of Riau Province built a flyover or overpass at Pasar Pagi Arengka junction to overcome the congestion problem. The research data was obtained by conducting a survey to the location through a questionnaire to the community around the flyover with the number of respondents determined as many as 60 respondents. Calculation analysis is performed using SPSS Statistics. The results of the study stated that the impact caused by the construction of a flyover at the intersection of Pasar Pagi Arengka in Pekanbaru, Riau Province, to the community was quiteinfluential. 

2014 ◽  
Vol 22 (3) ◽  
pp. 156-166 ◽  
Author(s):  
M. Alqhatani ◽  
S. Setunge ◽  
S. Mirodpour

Abstract This study models the impact of the shift from a monocentric private-car-oriented city to polycentric public-transport-oriented city. Metropolitan areas have suffered traffic problems—in particular increase in travel time and travel distance. Urban expansion, population growth and road network development have led to urban sprawl in monocentric cities. In many monocentric cities, travel time and distance has steadily increased and is only expected to increase in the future. Excessive travel leads to several problems such as air pollution, noise, congestion, reduction in productive time, greenhouse emissions, and increased stress and accident rates. This study examines the interaction of land use and travel. A model was developed and calibrated to Melbourne and Riyadh conditions and used for scenario analysis. This model included two parts: a spatial model and a transport model. The scenario analysis included variations of residential and activity distribution, as well as conditions of public transport service.


Author(s):  
Sree Pradip Kumer Sarker ◽  
Mohammad Majibur Rahman

Industrialization can benefit individuals, communities or states as it opens new opportunities for economic, social and human development. The stream of globalization is impelling Bangladesh to adopt the technologies of the Fourth Industrial Revolution. Bangladesh has pursued export-oriented industrialization, with its key export sectors include textiles, shipbuilding, fish and seafood, jute and leather goods etc. Communication system plays a very important role in accelerating the place of industrialization of a country. Along with the industrialization, communication system of Bangladesh has also been greatly improved. Various major projects have already been implemented and many more new projects have been under taken. Even then various unplanned developments are creating traffic congestion on our highways which become a big problem for us. Factories are being setup on both side along the highways in an unplanned manner to accelerate the pace of industrialization. As a result, roadways cause a slew of issues, including reduced capacity, increased travel time delays, queue length, increased fuel consumption, and roadway accidents, all of which result in unrecorded economic losses. So, it is vital to investigate and measure the traffic impact of industrial installations along highways in order to achieve long-term sustainability. Traffic Impact Assessment (TIA) is a technical examination of traffic problems and safety concerns associated with a particular development. In this study, we have assessed the traffic impact due to setting up a new industry along the Dhaka-Aricha Highway(N-5). It is mainly focused on the impact of the new generated traffic will have on the Dhaka -Aricha highway’s traffic system after the installation of an industry.  Furthermore, the findings may be used to take the anticipatory role in the future for becoming a beneficiary to set up a sustainable industry along the highways.


2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Yusman Syaukat ◽  
Ma’mun Sarma ◽  
Ahmad Faroby Falatehan ◽  
Rizal Bahtiar

Congestion that occurs in the Sudirman area of economic impact on society. Congestion can lead to a reduction in income and decrease the economic benefits for workers who work in the Sudirman. The decline in the perceived economic benefits of the workers can be called with a loss. Losses felt by workers is the value of wasted fuel loss due to increased purchases of fuel oil (BBM), a decrease in productivity in the form of wasted time akbitat jammed seen from income and working time. In addition, there is a loss of value where there is a decline in the health of the costs incurred for treatment due to declining health and psychological pressure value losses due to traffic. Total economic losses due to the impact of congestion on Jl. Sudirman Rp 19,716,239,573,128 / year. The loss is derived from the value of inefficiency fuel oil (BBM) Rp 15,008,423,787,414 / year, the value of reductions in labor productivity Rp 2,871,644,285,714 / year, the value of psychological distress as a result of congestion Rp 525.800.000.000/tahun, and health value of USD 1,310,371,500,000 / year.Key word : Congestion, Economic Losses, Inefficiency, Jakarta ABSTRAK Kemacetan yang terjadi di Jakarta, khususnya di daerah Jalan Sudirman berpengaruh pada ekonomi masyarakat. Kemacetan ini telah berdampak pada pengurangan penghasilan dan penurunan manfaat ekonomi bagi pekerja yang bekerja di daerah Sudirman. Kerugian yang sangat dirasakan para pekerja adalah nilai kerugian dari pemborosan bahan bakar akibat peningkatan pembelian bahan bakar minyak (BBM), penurunan produktivitas berupa waktu yang terbuang akibat kemacetan. Selain itu, kemacetan lalu-lintas juga menimbulkan kerugian nilai ekonomi akibat penurunan kondisi kesehatan, sehingga menimbulkan biaya dalam bentuk biaya pengobatan, serta kerugian nilai tekanan psikologis karena kemacetan. Kerugian total ekonomi akibat dampak kemacetan di Jl. Jenderal Sudirman tersebut mencapai Rp 19.72 trilyun per tahun atau sekitar 1,6 persen dari nilai PDRB DKI Jakarta. Kerugian tersebut sebagian besar berasal dari kerugian akibat: inefisiensi Bahan Bakar Motor (BBM) (76 persen), penurunan produktivitas pekerja (15 persen), peningkatan biaya kesehatan (7 persen), serta kerugian akibat tekanan psikologis (3 persen).Kata Kunci: Kerugian ekonomi, metoda valuasi, inefisiensi


Author(s):  
Nabaruna Karmakar ◽  
Seyedbehzad Aghdashi ◽  
Nagui M. Rouphail ◽  
Billy M. Williams

Traffic congestion costs drivers an average of $1,200 a year in wasted fuel and time, with most travelers becoming less tolerant of unexpected delays. Substantial efforts have been made to account for the impact of non-recurring sources of congestion on travel time reliability. The 6th edition of the Highway Capacity Manual (HCM) provides a structured guidance on a step-by-step analysis to estimate reliability performance measures on freeway facilities. However, practical implementation of these methods poses its own challenges. Performing these analyses requires assimilation of data scattered in different platforms, and this assimilation is complicated further by the fact that data and data platforms differ from state to state. This paper focuses on practical calibration and validation methods of the core and reliability analyses described in the HCM. The main objective is to provide HCM users with guidance on collecting data for freeway reliability analysis as well as validating the reliability performance measures predictions of the HCM methodology. A real-world case study on three routes on Interstate 40 in the Raleigh-Durham area in North Carolina is used to describe the steps required for conducting this analysis. The travel time index (TTI) distribution, reported by the HCM models, was found to match those from probe-based travel time data closely up to the 80th percentile values. However, because of a mismatch between the actual and HCM estimated incident allocation patterns both spatially and temporally, and the fact that traffic demands in the HCM methods are by default insensitive to the occurrence of major incidents, the HCM approach tended to generate larger travel time values in the upper regions of the travel time distribution.


2012 ◽  
Vol 39 (8) ◽  
pp. 915-924 ◽  
Author(s):  
Behzad Rouhieh ◽  
Ciprian Alecsandru

Over the past couple of decades the advancements in the areas of information and computational technology allowed for a variety of intelligent transportation systems developments and deployments. This study investigates an advanced traveler information system (ATIS) and (or) an advanced public transit system (APTS) adaptive and real-time transit routing component. The proposed methodology is applied to bus routes with fixed, predefined bus line alignments. It is shown that routing buses on such systems can be modeled in real-time by employing an associated Markov chain with reward model to minimize the impact of congested traffic conditions on the travelers and the overall operation cost of the transit system. A case study using a traffic and transit data from a real-world bus line was used to apply the proposed bus routing approach. It was found that under certain traffic congestion conditions buses should be re-routed to minimize their travel time and the associated system costs. The hypothetical congestion scenarios investigated show that individual bus travel time delays range between 50 and 740 s when the proposed adaptive routing is employed. The proposed methodology is also suitable for application to transit systems that run on a demand-adaptive basis (the bus line alignment changes with the travelers demand). Additional calibration and future integration of the system into specific ATIS and (or) APTS user services will be investigated.


Author(s):  
Shabrina Luthfiani Khanza ◽  
Erma Suryani ◽  
Rully Agus Hendrawan

Background: Commuting time is highly influenced by traffic congestion. System dynamics simulation can help identify the cause of traffic problems to improve travel time efficiency.Objective: This study aims to reduce traffic congestion and minimise commuting time efficiency using system dynamics simulation and scenarios. The developed scenarios implement the Bus Rapid Transit (BRT) and trams projects in the model.Methods: System dynamics simulation is used to analyse the transport system in Surabaya and the impact of BRT and trams project implementation in the model in order to improve commuting time and to reduce congestion.Results: From the simulation results, with the implementation of BRT and tram projects along with highway expansion, traffic congestion is predicted to decline by 24-44%.  With the reduction of traffic congestion, travel time efficiency is predicted to improve by 11-28%. On the contrary, implementation of BRT and tram project without highway expansion is predicted to increase the traffic congestion by 5% in the initial year of implementation, then traffic congestion is predicted to decline by 2% in 2035.Conclusion: Based on the scenarios, transport project implementation such as BRT and trams should be accompanied with improvement of infrastructure. Further research is needed to develop a more comprehensive transportation system to capture a broader view of the problem. Keywords: Model, Simulation, System Dynamics, Traffic Congestion, Travel Time 


Author(s):  
Venktesh Pandey ◽  
Natalia Ruiz Juri

The National Performance Management Research Data Set (NPMRDS), made available by Federal Highway Administration in 2013, provides fine-resolution travel-time data, which have been used in numerous network performance management and operations applications. This article discusses corridor-level performance measures computed using the NPMRDS. Three measures are analyzed on a 20.2-mile long corridor in San Antonio, Texas, including corridor travel time, corridor travel-time reliability, and day-to-day variation in travel time. The primary contributions of this article are the analysis of the impact of using two different approaches for travel-time aggregation across segments—instantaneous and time-dependent approaches—and defining a mean absolute error-based method to identify days when travel times significantly deviate from typical traffic conditions. The findings suggest that the temporal patterns of corridor travel times obtained using instantaneous and time-dependent aggregation approaches are similar; however, instantaneous travel-time estimates lead to inaccuracies that become more apparent during peak hours and for longer segments. In addition, it is found that a [Formula: see text]-means clustering analysis performed on daily travel-time profiles provides a useful statistic for corridor performance analysis. Using this methodology, 9.23% of weekdays in the 20-month study period are classified as atypical for the corridor. The numerical results reinforce the value of the NPMRDS in estimating corridor performance measures and highlight potential limitations of traditional techniques for evaluating corridor performance measures when applied in practice to support enhanced traffic planning and operations.


Author(s):  
Jamil Hamadneh ◽  
Domokos Esztergár-Kiss

Travelers' behavior is predicted based on their individual preferences. People search for alternatives to maximize their benefit from doing activities, such as increasing the activity time by minimizing the travel time. Traffic congestion and the scarcity of parking spaces in the city center motivate the decision-makers to encourage travelers to use the park-and-ride (P&R) system. An evaluation concerning the impact of using the P&R system on the travel behavior of car users is conducted. Some of the existing P&R facilities are incorporated into the daily activity plans of car travelers to produce new daily activity plans (i.e., P&R facility is considered an activity). By using the Multi-Agent Transport Simulation (MATSim) open-source tool, simulations of the daily activity plans including the P&R system and autonomous vehicles (AVs) are conducted. The study examines three scenarios: (1) a simulation of the existing condition, (2) a simulation of the daily activity plans of the travelers with the P&R system, and (3) a simulation of the daily activity plans of the travelers with the P&R system and AVs. The results show that using the P&R system increases the overall travel time compared with the existing conditions, and the use of AVs as a transport mode impacts the existing modal share as follows: 64 % of the car users switch to AVs, while 15 % of the car users switch to public transport. The output of this study might be used by policy-makers in parking pricing and the location of the P&R facilities.


2018 ◽  
Vol 1 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Yun Zou ◽  
Xiaobo Qu

Purpose Freeway work zones have been traffic bottlenecks that lead to a series of problems, including long travel time, high-speed variation, driver’s dissatisfaction and traffic congestion. This research aims to develop a collaborative component of connected and automated vehicles (CAVs) to alleviate negative effects caused by work zones. Design/methodology/approach The proposed cooperative component is incorporated in a cellular automata model to examine how and to what scale CAVs can help in improving traffic operations. Findings Simulation results show that, with the proposed component and penetration of CAVs, the average performances (travel time, safety and emission) can all be improved and the stochasticity of performances will be minimized too. Originality/value To the best of the authors’ knowledge, this is the first research that develops a cooperative mechanism of CAVs to improve work zone performance.


2020 ◽  
Vol 1 (11) ◽  
pp. 133-140
Author(s):  
E. V. DMITRIEVA ◽  

The article considers topical issues of economic support for the development of the regional security system of the population against various risks. The dependence of the impact of the scale of crisis situations on economic activities in the constituent entities of the Russian Federation, which become a serious barrier to the sustainable development of the regions of the country, was investigated. The increasing importance of risks of economic losses from accidents and disasters at potentially dangerous facilities as a result of the complex influence of natural, manmade and fire factors has been established. An analysis was carried out and proposals were developed to implement the key tasks of the state in the field of ensuring the protection of the population and territories of the country from disasters in order to ensure the stability of the economy. The organizational structure, division of tasks and functions between officials, crisis management structures and responding units were analyzed, taking into account the reduction in current financial costs. On the basis of a study of the peculiarities of the regions of the country, recommendations were formed to fulfill the necessary tasks by the anti-crisis management bodies in the field of reducing economic damage on the basis of preventing crisis situations and ensuring fire safety. It is proposed to organize the practical application of a complex automated security system based on modern developments with the application of improving the qualities and efficiency of anti-crisis management processes in order to increase economic efficiency. Initial data were formed to reduce potential threats of a natural, man-made, fire and other nature in the regions using financial and economic mechanisms. It is proposed to implement a set of priority measures to further improve and increase the potential of economic support for the anti-crisis management system. The materials of the article can be used in planning the main directions of the development of the regional population security system and the implementation of socio-economic development programs.


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