Arterial Roads Research Articles

The spatial mismatch between foreign direct investment and street networks: Evidence from Hanoi, Vietnam

This research investigates the spatial mismatch between the distribution of Foreign Direct Investment (FDI) and the configurational characteristics of street networks in Hanoi's urban districts. Two indicators are employed to represent the connectivity of street networks generated by space syntax methodology, global integration for vehicular movements and local integration for pedestrian traffic. Findings reveal that FDI clusters have preferred areas highly connected by arterial roads, including traditional commercial centres and new suburban locations, confirming that FDI is spatially matched with vehicle-oriented street networks. However, the major FDI clusters have been established without tight connections to street networks for pedestrians. The findings shed light on the new spatiality of global capital accumulation that expedites an unsustainable, vehicle-oriented urban structure.

Unveiling the impact of heterogeneous driving behaviors on traffic flow: A mesoscale multi-agent modeling approach

There are fewer simulation studies that comprehensively consider the impact of collision events due to heterogeneous driving behaviour on multi-lane traffic flow. This comprehensive study utilized multi-agent modeling to simulate the driver-vehicle-road system at the mesoscale level, integrating the characteristics of heterogeneous driving behavior. We developed a traffic flow simulation model for a three-lane urban arterial road segment and used rule-based algorithms to simulate vehicle following, lane changing, and collision behavior. A visualization simulation program was developed using NetLogo software to observe and analyze vehicle behavior. The findings revealed that collision events were the leading cause of traffic bottlenecks, impacting the continuity and coherence of traffic flow. Even after the collision event subsided and congestion eased, the average vehicle speed could not fully recover to its original level, reaching only about 70% of the maximum vehicle speed. Aggressive drivers exhibited distinct speed control strategies compared to conservative and ordinary drivers. This study demonstrates the effectiveness of multi-agent modeling in capturing the relationship between traffic bottlenecks and collision events, highlighting the influence of dynamic traffic events on driving behavior.

Driving risk identification of urban arterial and collector roads based on multi-scale data

Urban arterial and collector roads, while interconnected within the urban transportation network, serve distinct purposes, leading to different driving risk profiles. Investigating these differences using advanced methods is of paramount significance. This study aims to achieve this by primarily collecting and processing relevant vehicle trajectory data alongside driver-vehicle–road-environment data. A comprehensive risk assessment matrix is constructed to assess driving risks, incorporating multiple conflict and traffic flow indicators with statistically temporal stability. The Entropy weight-TOPSIS method and the K-means algorithm are employed to determine the risk scores and levels of the target arterial and collector roads. Using risk levels as the outcome variables and multi-scale features as the explanatory variables, random parameters models with heterogeneity in means and variances are developed to identify the determinants of driving risks at different levels. Likelihood ratio tests and comparisons of out-of-sample and within-sample prediction are conducted. Results reveal significant statistical differences in the risk profiles between arterial and collector roads. The marginal effects of significant parameters are then calculated separately for arterial and collector roads, indicating that several factors have different impacts on the probability of risk levels for arterial and collector roads, such as the number of movable elements in road landscape pictures, the standard deviation of the vehicle’s lateral acceleration, the average standard deviation of speed for all vehicles on the road segment, and the number of one-way lanes on the road segment. Some practical implications are provided based on the findings. Future research can be implemented by expanding the collected data to different regions and cities over longer periods.

Real driving cycles and emissions for urban freight transport.

This paper aims to evaluate the driving style effects, through the construction of driving cycles, on the polluting gases, in the context of urban freight transportation. For this, the method used was the construction of cycles through the Vehicle Specific Power (VSP) parameter, which considers instantaneous vehicle and road parameters better to represent driving patterns and freight transportation's environmental impacts. The study was conducted in Fortaleza city, Ceará, Brazil, with a professional driver's group. The road types, land use and traffic light location were considered to analyze and discuss the results. The results show collector roads presented higher speeds than arterial roads, and the use of the land around the road also directly impacted vehicle driving patterns. Regarding CO2 emissions, higher concentrations measured were observed on the arterial roads.

Impact of urban form and street infrastructure on pedestrian-motorist collisions

This study examines the impact of urban form and street infrastructure on pedestrian safety in Atlanta, Georgia, and Boston, Massachusetts. With a significant rise in pedestrian fatalities over the past decade, understanding how cities’ built environments influence safety is critical. We conducted geospatial analyses and statistical tests, revealing unique patterns in each city. Atlanta’s sprawling, motorist-oriented layout is associated with increased pedestrian accidents, particularly at crosswalks, due to limited land use diversity, arterial roads, and streets with high speed limits and multiple lanes. In contrast, Boston’s compact, pedestrian-oriented design leads to improved safety, featuring safer pedestrian crossings, greater land use diversity, reduced arterial roads and lower speed limits on single-lane streets. This study also highlights the importance of diverse urban forms and pedestrian infrastructure in shaping pedestrian safety. While population density and land use diversity impact accident rates, the presence of crosswalks and street configurations play crucial roles. Our findings underscore the urgency for urban planners to prioritize pedestrian safety through targeted interventions, such as enhancing crosswalks, reducing speed limits and promoting mixed land use. Future research should explore additional variables, alternative modelling techniques and non-linear approaches to gain a more comprehensive understanding of these complex relationships.

Bioavailable fractions of heavy metals in the road dust during infrastructure construction at urban Coimbatore and its potential health implications, India.

Over the past two decades the Global South is witnessing unprecedented economic transformation and Asian Cities in particular have a remarkable upsurge. Coimbatore, an industrial city in Southern India with an estimated population of 2 million (in 2022) is witnessing a rapid transition in terms of infrastructure development. In this context, the present study attempts to assess the particulate matter (PM10 and PM2.5) emissions at road network construction sites and the heavy metal fractionation in the road dust/sediment samples with a core focus to quantify the bioavailable fraction of metals (Fe, Cu, Cr, Cd, Pb and Ni) and its source apportionment in the road side dust/sediment samples. About 60 composite road dust/sediment samples were collected for heavy metal fractionation analysis in the six arterial roads that undergo core developments like construction of road over bridges, additional road incorporation and street expansions. PM monitoring revealed that 24h average PM2.5 (47µg/m3) and PM10 (69µg/m3) concentrations at many construction sites exceeded 24h average recommended by WHO guidelines [PM2.5 (15µg/m3) and PM10 (45µg/m3), respectively]. The bioavailable fractions of Fe, Cu, Cr and Cd are notably higher in the roadside sediment samples at road construction sites. Health Risk assessment, such as carcinogenic risks (Children-4.41 × 10-2, Adult-3.598 × 10-6) and non-carcinogenic risks, inferred substantial risks at high intensity construction sites with statistical analyses, including PCA and cluster analysis, indicating considerable anthropogenic influences in the heavy metal fractions.

Sistem Informasi Geografis Untuk Visualisasi Daerah Rawan Kecelakaan Lalu Lintas Jalan Arteri Primer Kota Surabaya

Accidents are an event that often occurs on the highway, especially in big cities, one of which is Surabaya City. Accidents are one of the main problems for the safety of road users. Almost all activities carried out require transportation facilities, if the transportation facilities do not run well due to traffic accidents, the activities carried out will not run well. Therefore, a solution is needed to reduce accidents by building an accident-prone area information system. In determining the criteria for accident-prone areas, it is taken from the Republic of Indonesia Police, the Department of Transportation, and Public Works, based on the number of accidents, the number of fatalities of victims, and road conditions. This research is an effort to visualize the occurrence of accidents using spatial data of Surabaya City road network maps and non-spatial data, namely accident data and road data obtained from the police and the Bina Marga Service. In the final result of this research, an application is obtained that can provide visualization of accident-prone areas such as Ahmad Yani road which is a road with a high accident rate with the number of incidents and has the highest victim fatality weighting results among 9 other primary arterial roads. Keywords:Accident Prone Areas, Geographic Information System, Surabaya City, Traffic, Transportation

Unveiling Urban Vulnerabilities: Analysis of Pedestrian Safety and Experience at 2 No Gate, A Major Arterial Road in Chittagong, Bangladesh

In developing countries such as Bangladesh, pedestrian safety is a pressing concern due to inadequate infrastructureand increased vehicular traffic resulting in frequent conflicts between pedestrians and vehicles in urban areas.Chittagong is the second-largest city in Bangladesh where, in addition to road accidents, pedestrians also encounterchallenges due to the prevalent issue of water clogging caused by the inadequate drainage system. The study aims toanalyze the experience and the multifaceted risks faced by pedestrians in Chittagong which include road safetyconcerns as well as the threats during monsoon seasons. The research gathers data leading to twofold investigationson 2-no. gate area, based on the physical infrastructure and the road users’ behavior using human perception analysis,an in-depth questionnaire survey, and examining the previously occurring accidents. Analyzing the data, the paper hasattempted to shed light on the major causes and factors of pedestrian accidents in the area and suggested appropriateguidelines to reduce accidents and enhance pedestrian movement facilities in similar scenarios.

URBAN DESIGN QUALITIES OF EMBONG MALANG CORRIDOR, SURABAYA CITY

The Embong Malang Corridor is located between Kedungdoro District and Genteng District, Surabaya City. Jalan Embong Malang is a secondary arterial road that has strategic significance in the context of city development where this corridor features several commercial buildings on both sides of the road. Pedestrian paths on the Jalan Embong Malang Corridor are available along the north and south sides, becoming a vital means for people visiting the Embong Malang Corridor to move between buildings. However, there are problems related to the qualities of the urban design in this corridor, which directly impacts the walkability and functionality of the pedestrian path for pedestrians. This research aims to find out the condition of urban design qualities in the Embong Malang Corridor. This research method uses observations made to evaluate the existing condition of the corridor, relying on descriptive analysis to explain various related aspects. The results of the analysis show that there are still deficiencies in several aspects of urban design qualities, especially in the enclosure, complexity, and coherence variables. This evaluation provides important insights into corridor improvement and development efforts and encourages further attention to aspects of urban design to create a more pedestrian-friendly environment.

Performance of Shading Against West Glass Facades to Optimise Daylight, Thermal Comfort and Energy Efficiency of Office Buildings

In tropical urban areas, the vertical facades of buildings often play a crucial role in capturing solar radiation and heat, especially for office buildings facing west during the afternoon. In Dhaka, a tropical city, the construction of major arterial roads connecting the northern and southern regions of the city has led to the emergence of numerous commercial buildings along these roads, predominantly facing in east or west directions. This research investigated the efficiency of different existing fenestration types (glass curtain walls, glass windows with horizontal and vertical louvres, overhangs, vertical fins, and egg crate shading) of west-facing office buildings in Dhaka in terms of daylight, thermal comfort and energy efficiency, and explore strategies to enhance existing performance. From the field survey, a 'case office building' was selected, and simulations were carried out with the six different fenestrations, as mentioned above, while keeping other aspects constant as found during the survey, e.g., floor plan, equipment and number of occupants. In this research, the simulation process encompasses daylighting simulation, energy simulation, and multi-objective optimisation. The study utilised a case model created with Rhinoceros and ClimateStudio, while performance metric optimisation was achieved using Grasshopper and Octopus. Multi-objective optimisation techniques were employed to improve the shading configurations. The TT toolbox facilitated data exportation and Design Explorer assisted in data visualisation. The window with egg crate shading was found to be the most effective fenestration type among the studied shading configurations. Further parametric simulation was conducted to develop an optimised egg crate shading design configuration. It was found that egg crate shading with a 1.0 m depth provided optimum daylight and solar heat gain inside the office building among the studied configurations in the context of Dhaka. A comparison was also made between the optimised egg crate option and a customised egg crate with some detailing (popularly known as brise soleil). Brise soleil showed better performance with 12.2% higher sDA and 98 lux additional average illuminance compared to the previous optimum one. The findings underscore the significance of employing optimisation methodology to devise shading configurations while also revealing substantial opportunities to enhance performance further by tailoring details on the optimised design recommended from simulation analysis.

Prediction model of factors causing traffic accidents on rural arterial roads: A binary logistic regression approach

In rural areas, land use activities around primary arterial roads influence the road section’s traffic characteristics. Regulations dictate the design of primary arterial roads to accommodate high speeds. Hence, there is a mix of traffic between high-speed vehicles and vulnerable road users (pedestrians, bicycles, and motorcycles) around the land. As a result, researchers have identified several arterial roads in Indonesia as accident-prone areas. Therefore, to improve the road user’s safety on primary arterial roads, it is necessary to develop models of the influence of various factors on road traffic accidents. This research uses binary logistic regression analysis. The independent variables are carelessness, disorderliness, high speed, horizontal alignment, road width, clear zone, road shoulder width, signs, markings, and land use. Meanwhile, the dependent variable is the frequency of accidents, where the frequency of accidents consists of multi-accident vehicles (MAV) and single-accident vehicles (SAV). This study collects data for a traffic accident prediction model based on collision frequency in accident-prone areas. The results, road shoulder width, and road sign factor all have an impact on the frequency of traffic accidents. According to a realistic risk analysis, MAV and SAV have no risk difference. After validation, this model shows a confidence level of 92%. This demonstrates that the model generates estimations that accurately reflect reality and are applicable to a wider population. This research has the potential to assist engineers in improving road safety on primary arterial roads. In addition, the model can help the government measure the impact of implemented policies and engage the public in traffic accident prevention efforts.

Evaluation of Coal Transport Route in Jambi City (Talang Duku Port-East Ring Road II)

In its implementation, the role of coal transportation infrastructure is important in supporting the mining industry in Jambi City. However, it also causes various complex problems; one of them is traffic congestion on arterial roads in Jambi City. In May 2023, the Jambi Regional Police of the Republic of Indonesia issued a notification letter to stop the mobilization of coal transportation in Jambi Province. The policy caused several coal companies to switch their transportation method to shipping in order to continue operating, while several other companies stopped operating until an indeterminate time. Therefore, this study aims to compare traffic performance before and after the implementation of the policy on Jambi City arterial roads, especially on Talang Duku Port Road and East Ring Road II. The method used was a comparative analysis of the degree of saturation before and after the enactment of regulations on the prohibition of coal truck operations. The results of this study show the importance of traffic management as one of the solutions to reduce traffic congestion. Nevertheless, other alternatives are still needed to support the smooth operation of coal transportation activities.

A method for evaluating the functional hierarchy of road networks

In Japan, the mobility functions of principal arterial roads are hindered by lined-up roadside facilities and densely located signalized intersections. As one of the solutions, it is necessary to consider a functional hierarchy of road networks, based on the structure and traffic operations of each road. The purpose of this study was to propose an index to evaluate the degree to which the road network could be used hierarchically according to their mobility function, based on the location of the bases and the location of roads at each level of the hierarchy, and to propose a method to evaluate the road network using this index. To accomplish this, we proposed a four-level method for the evaluation of the functional hierarchy of road networks based on the derived index values. As a case study, we calculated the degree of hierarchy for the road networks in northern Mie and western Shizuoka. The results showed that the current evaluations of the functional hierarchy in these regions were low, and that introducing mid-level roads was necessary to improve the current situation. The evaluation method proposed in this study will enable us to examine the ideal network configuration for each road in the region to exhibit its mobility function as a preliminary step to studying solutions to various road network issues, such as ensuring the smooth movement between bases and safety. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the World Conference on Transport Research – WCTR 2023.

Urban network noise control based on road grade optimization considering comprehensive traffic environment benefit

A double-decision optimization model based on the road grade optimization strategy and considered comprehensive traffic environment benefit is proposed to control the traffic noise. The upper-level model maximizes the comprehensive traffic environment benefit, including network noise emission and traffic efficiency. Adjusting the emphasis on noise optimization benefits and traffic efficiency in road network planning through setting weights. The lower-level resolves the question of network traffic flow assignment using a stochastic user-equilibrium model. The increase of traffic environment demand, network noise emissions decrease and travel time rises. In the case, with a low environmental requirement (weighting with 1.1), the sound pressure emission of the network decreases by 9.23% with only a 4.01% increase in travel time. Under the high environmental requirement (weighting with 0.2), the sound pressure decreases by 26.8%, but the travel time rises by as high as 30.9%. The network is optimized towards road grade degradation and is the first to optimize the arterial roads. In addition, it is found that the influence of speed on traffic noise is greater than that of traffic volume through case validation. This method proposing traffic noise optimization strategies at the road network planning level provides technical support for the proactive governance of traffic noise pollution and the improvement of traffic sound environment quality.

Kajian Ulang Perencanaan Geometrik Simpang Simpang Tak Bersinyal Berdasarkan Highway Capacity Manual

Simpang Empat Jeuram Nagan Raya is often mentioned by local people as “Simpang Peut” is the main route of the city's arterial road serving traffic movement between districts or between provinces, which is located in Kuala District, Nagan Raya Regency. The intersection has four arms, serving the flow of 4 lanes of the main road with a median and 2 lanes of minor roads connecting the route for offices, residential residents, trade and as a route to the city center. The problem that is raised and also the purpose of research is how the performance of the intersection to traffic volume occurs in the four arms and distinguishes the difference between the current calculation and previous research. The limitations of the discussion are the research location at Simpang Empat Jeuram, the performance of the intersection based on the 1993 HCM method, side barriers and not predicting previous research. Based on the results, the current volume is 3,310 pcu/hour with a composition of 2,789 pcu/hour. The capacity of 4,009 pcu/hour is above the existing volume which is categorized as not jammed or not saturated. Side barriers 1,328 events are categorized as commercial areas and roadside market activity is very high. The degree of saturation is 0.70 < DS (DS < 0.80 - 0.90) with an average delay of 7.95 seconds/pcu and a queue length of 40% - 20% with a service level D where the current is unstable and sometimes has to slow down the speed of 43 km/hour. Previous research has shown significant results, because the increase in vehicles has continued to increase by 75% in the last 3 years.

ROAD TRAFFIC ACCIDENTS FACTOR ON RURAL ARTERIAL ROADS

In Indonesia, traffic accidents occur on 23.55% of national roads and 75.08% of rural roads. The rural roads were identified as accident-prone areas. As a result, unsafe roads hinder population mobility, disrupt daily life, and reduce access to education, employment, and essential services, thereby affecting the well-being and development of rural communities. To identify the dominant factors that influence the frequency of collisions, a more thorough analysis of the multifactorial causes of traffic accidents in accident-prone areas is necessary. This study focused on analyzing the factors that contribute to road traffic accidents. Cross-tabulation was done using chi-square analysis. The chi-square test does not assume a normal distribution of data, which is beneficial when dealing with real-world data that may not follow normal distribution patterns. This flexibility makes it a robust choice for analyzing traffic accident data, which can be highly variable and not normally distributed. The results of the chi-square analysis for significance values below 0.05 indicate that there is a correlation between accident-causing factors (the independent variable) and collision frequency (the dependent variable). The results indicate that human factors, such as carelessness and high speed, as well as road and environmental factors, such as horizontal alignment, road width, clear zone, road signs, road markings, and land use, influence traffic accidents. Infrastructure factors such as horizontal alignment, road width, clear zones, shoulders, signs, and markings influence traffic accidents because they directly impact road user safety. Non-standard road geometry (horizontal alignment, road width, shoulder width, and clear zone) combined with incomplete road safety facilities (signs and markings) have the potential to cause traffic accidents. Therefore, harmonizing road geometry and equipment is necessary to improve arterial road safety, especially in accident-prone areas. Furthermore, speed management across a variety of land uses is required to reduce traffic accidents.

Analysis of the Direction and Prediction of Built-Up Land Development in Slawi Sub-district, Tegal Regency, Indonesia in 2045

Abstract Slawi Sub-district is characterized by a high population density as it serves as both the capital of Tegal Regency and the central hub of the Tegal Regency government. The large growth of built-up land threatens the balance of the environment and uncontrolled spatial planning. This study aims to predict the development of built-up land in Slawi Subdistrict in 2045 and determine the direction of built-up land development in Slawi Subdistrict in 2007, 2015, 2023, and 2045. The research approach used Geographic Information System with the prediction of Cellular Automata (CA) Markov Chain prediction model. The inputs of the CA Markov model are the driving factors of land cover change consisting of road network, river network, government, settlement, and slope. The results showed that in 2045 the predicted built-up land area was 1,111.72 ha or 71.41% of the total land cover. The development of built-up land in Slawi Sub-district is closely related to the road distribution pattern, where the north and south are influenced by arterial road and rail road, while the east and west are influenced by collector roads.

Sustainable Development Methods of Urban Slow-traffic System Based on Human Factors Engineering

At present, China's urban transportation is in a period of development and transformation, and there are heated discussions about transportation sustainability. With China's new urban planning strategy and the future development trend of roads, the construction and development of the slow-traffic system have become a new direction of exploration. Through the analysis of human psychology and physiology, this article further explores the sustainable development of slow-traffic systems without sacrificing human welfare. Through the impact on the psychological safety of users based on distance in the street space, and through the three physiological stimulations of color and light on vision, noise on hearing, and ground materials on touch, it strengthens the sense of security for users in road space. Controllability and increased frequency of use. Integrate slow traffic into existing urban arterial roads and public transportation in more possible ways, reactivating street vitality and enriching street life. While achieving the "double carbon" goal, urban roads should be constructed meticulously to improve the quality of life of residents. Nowadays, there are many studies on the use of new technologies for road management, but few on road planning methods that focus on people themselves. After research and discussion, this article can fill the gaps in related research and contribute to the sustainable development of the slow-traffic system.

Sustainable Development Methods of Urban Slow-traffic System Based on Human Factors Engineering

At present, China's urban transportation is in a period of development and transformation, and there are heated discussions about transportation sustainability. With China's new urban planning strategy and the future development trend of roads, the construction and development of the slow-traffic system have become a new direction of exploration. Through the analysis of human psychology and physiology, this article further explores the sustainable development of slow-traffic systems without sacrificing human welfare. Through the impact on the psychological safety of users based on distance in the street space, and through the three physiological stimulations of color and light on vision, noise on hearing, and ground materials on touch, it strengthens the sense of security for users in road space. Controllability and increased frequency of use. Integrate slow traffic into existing urban arterial roads and public transportation in more possible ways, reactivating street vitality and enriching street life. While achieving the "double carbon" goal, urban roads should be constructed meticulously to improve the quality of life of residents. Nowadays, there are many studies on the use of new technologies for road management, but few on road planning methods that focus on people themselves. After research and discussion, this article can fill the gaps in related research and contribute to the sustainable development of the slow-traffic system.

Determining of Appropriate Passenger Car Unit Values Due to a Change in Effective Width of Roadway

Legitimately, the passenger car equivalent value is determined based on the type and width of the road as well as the traffic volume. Interestingly, the effective width of roadway often varies due to land topography conditions and level of side friction. Theoretically, the number of survey posts should be determined based on road geometric and environmental conditions because traffic volume is a reflection of the choice of speed. Unfortunately, due to limited funds, traffic volume, travel speed and ride friction surveys were carried out at 1 survey point. As a result. the recommendations for strategies and/or traffic management and engineering techniques could be bias. This study aims to calculate the impact of differences in the effective road width on the equivalent value of passenger cars using the Speed Method. For this reason, a speed survey was carried out on a number of arterial roads in the Kupang urban area. It was found that changes in the effective width of road lanes have a significant impact on changes in motorbike speed so that the use of passenger car equivalent value for motorcycle should be based on the result of field survey, instead of a standardized value as it was recommended by Indonesian Highway Capacity Guide