Road Capacity Driven Land Use Model (CADLUM)

1996 ◽  
Vol 28 (12) ◽  
pp. 2227-2240 ◽  
Author(s):  
Y J Gur ◽  
D Shefer ◽  
D Magid
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Road Network ◽  
Land Development ◽  
Optimization Procedure ◽  
Heuristic Solution ◽  
The Road ◽  
Road Capacity ◽  
Land Use Plan ◽  
Transportation Plan

In this paper we examine the major effects of road network attributes in a metropolitan area on the spatial distribution and intensity of activities, and suggest a model to describe these effects. The model is based on the hypothesis that the transportation system affects land development primarily as a constraint: the intensity of land use in an area cannot exceed the capacity of the road network that serves the traffic it generates. With the model we examine the feasibility of a proposed land-use plan (or prediction) for an urban area, given a proposed transportation plan. If road-capacity constraints are violated, the model employs an optimization procedure to identify a feasible spatial distribution of the activities. In this paper we describe the conceptual basis for the model and its formulation as a distance-minimizing optimization problem, a heuristic solution method, and a simple application.

scholarly journals Macroscopic dynamics and the collapse of urban traffic

2018 ◽  
Vol 115 (50) ◽  
pp. 12654-12661 ◽  
Author(s):  
Luis E. Olmos ◽  
Serdar Çolak ◽  
Sajjad Shafiei ◽  
Meead Saberi ◽  
Marta C. González
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Spatial Dynamics ◽  
Urban Traffic ◽  
Nonequilibrium Phase Transition ◽  
Vehicle Miles Traveled ◽  
The Road ◽  
Road Capacity ◽  
Total Vehicle ◽  
The Individual

Stories of mega-jams that last tens of hours or even days appear not only in fiction but also in reality. In this context, it is important to characterize the collapse of the network, defined as the transition from a characteristic travel time to orders of magnitude longer for the same distance traveled. In this multicity study, we unravel this complex phenomenon under various conditions of demand and translate it to the travel time of the individual drivers. First, we start with the current conditions, showing that there is a characteristic time τ that takes a representative group of commuters to arrive at their destinations once their maximum density has been reached. While this time differs from city to city, it can be explained by Γ, defined as the ratio of the vehicle miles traveled to the total vehicle distance the road network can support per hour. Modifying Γ can improve τ and directly inform planning and infrastructure interventions. In this study we focus on measuring the vulnerability of the system by increasing the volume of cars in the network, keeping the road capacity and the empirical spatial dynamics from origins to destinations unchanged. We identify three states of urban traffic, separated by two distinctive transitions. The first one describes the appearance of the first bottlenecks and the second one the collapse of the system. This collapse is marked by a given number of commuters in each city and it is formally characterized by a nonequilibrium phase transition.

scholarly journals Effect of Complex Road Networks on Intensive Land Use in China’s Beijing-Tianjin-Hebei Urban Agglomeration

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 532
Author(s):  
Chen Zeng ◽  
Zhe Zhao ◽  
Cheng Wen ◽  
Jing Yang ◽  
Tianyu Lv
Keyword(s):  
Land Use ◽  
Road Network ◽  
Spillover Effect ◽  
Urban Agglomeration ◽  
Land Use Intensity ◽  
Spatial Econometric ◽  
Spatial Spillover ◽  
The Road ◽  
Intensive Land Use ◽  
Spatial Spillover Effect

Coupled with rapid urbanization and urban expansion, the spatial relationship between transportation development and land use has gained growing interest among researchers and policy makers. In this paper, a complex network model and land use intensity assessment were integrated into a spatial econometric model to explore the spatial spillover effect of the road network on intensive land use patterns in China’s Beijing–Tianjin–Hebei (BTH) urban agglomeration. First, population density, point of interest (POI) density, and aggregation index were selected to measure land use intensity from social, physical, and ecological aspects. Then, the indicator of average degree (i.e., connections between counties) was used to measure the characteristics of the road network. Under the hypothesis that the road network functions in shaping land use patterns, a spatial econometric model with the road network embedded spatial weight matrix was established. Our results revealed that, while the land use intensity in the BTH urban agglomeration increased from 2010 to 2015, the road network became increasingly complex with greater spatial heterogeneity. The spatial lag coefficients of land use intensity were positively significant in both years and showed a declining trend. The spatially lagged effects of sector structure, fixed asset investment, and consumption were also significant in most of our spatial econometric models, and their contributions to the total spillover effect increased from 2010 to 2015. This study contributes to the literature by providing an innovative quantitative method to analyze the spatial spillover effect of the road network on intensive land use. We suggest that the spatial spillover effect of the road network could be strengthened in the urban–rural interface areas by improving accessibility and promoting population, resource, and technology flows.

scholarly journals The Study of How Open Community Based on Combination Weighting Method Influence on Road Capacity

2017 ◽  
Vol 11 (6) ◽  
pp. 15 ◽  
Author(s):  
Zhuhui He ◽  
Rui Liao ◽  
Longlong Wang
Keyword(s):  
Road Network ◽  
Comprehensive Evaluation ◽  
Positive Impact ◽  
Evaluation Model ◽  
Network Connectivity ◽  
Entropy Weight ◽  
Weighting Method ◽  
Linear Coefficient ◽  
The Road ◽  
Road Capacity

The paper studies whether the opening of community can improve the road capacity. First of all, based on the consideration of road space and traffic quality, the evaluation indexes are: road network density, road network connectivity, non-linear coefficient, traffic volume of main road beside community, delay time of intersection, travel time consumption and vehicle accessibility. Secondly, the weight of the index is calculated by the method of relative comparison, the variation coefficient method and the entropy weight method. Then, we sort the three weights, using the correlated coefficient and degree of spearman rank to combine the three weights, so as to get combined weights of various index and achieve the effect which makes good use of the method. Finally, we combine indicators and weights, establish a comprehensive evaluation model, and assess the road capacity before and after the opening of the road. Through the calculation, it is found that the comprehensive evaluation index after the opening of the community is higher than that before the opening, that is, the positive impact on the surrounding roads.

scholarly journals SPATIAL CLASSIFICATION OF TRANSPORT NETWORKS AND ITS CONNECTION WITH THE TYPOLOGY OF TRANSIT-ORIENTED DEVELOPMENT FOR THE CITIES OF NAJAF AND KUFA OF THE PROVINCE OF NAJAF

2020 ◽  
Vol 5 (9) ◽  
pp. 57-66
Author(s):  
A. Al-jaberi
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Road Network ◽  
Structural Features ◽  
Transit Oriented Development ◽  
Spatial Classification ◽  
The Road ◽  
Different Types ◽  
Gis Environment

Transport is a link between territories with different types of land use in urban areas. At the same time, the improved accessibility associated with the transport network can lead to increased segregation and a change in land use. The article analyzes the road network of the Najaf and Kufa cities, Najaf province, Iraq, in order to identify the spatial classification of roads and streets. Based on the analysis, three main types of roads and streets are identified with respect to their structural features and characteristics: regional, city and district. The dependence of the typology and location of transit-oriented zones on the classification of the road network is indicated. In the process of analyzing the study area, the most optimal points for the practice of transit-oriented development (TOD) are identified, the territories most favorable for the location of transit-oriented zones of regional, city and district significance are introduced, the main characteristics of these zones are given. In order to reach goals, this article includes the collection of data and the creation of a database for land use applying a geographic information systems (GIS) environment. The result of the spatial analysis are five regional nodes, six urban nodes and seven district nodes

scholarly journals DAMPAK GUNA LAHAN TERHADAP TINGKAT KEMAMPUAN KINERJA JALAN STUDI KASUS : JALAN AHMAD YANI DI KECAMATAN KARTASURA

2019 ◽  
Vol 14 (1) ◽  
pp. 40
Author(s):  
Taufik Setyawan ◽  
Mila Karmilah
Keyword(s):  
Land Use ◽  
Quantitative Analysis ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Rapid Development ◽  
Economic Activities ◽  
Economic Relations ◽  
The Road ◽  
Road Capacity ◽  
Development Area

The use of land as a trade and service area contributes greatly to the development of urban economic structures, including in the District of Kartasura. Especially Kartasura's market activity which is always developing because it is a place to fulfill primary needs. However, the existence of this market and also the trade and service activities around it are increasingly troubling due to irregularities and disrupting transportation activities around the market. Geographically, Kartasura Subdistrict is quite close to the Surakarta City area (around 10 Km), and Surakarta City has a very rapid and dense development intensity and has a limited development area, so the development of socio-economic activities tends to move towards the Kartasura Sub-District area.Close socio-economic relations with Surakarta City made Kartasura experience rapid development in the growth of new activities along the A. Yani road. Such as education, health, trade and services, industry and office activities. With the growth of new activities along the A Yani road, traffic jams often occur at peak hours. The congestion is due to the mixture between modes of transportation, trade, industry and offices.The purpose of this study is to identify the performance of the A Yani road, to determine the effect of land use on congestion that occurs. To achieve these objectives, the analysis used is quantitative calculations. By comparing the road conditions at peak and non peak hours on the A Yani road. The method used in this study is analyzing the volume of the road (V) A Yani experiencing congestion, analyzing side barriers, speed, road capacity (C) A Yani, and the level of road service (V / C) A Yani. In addition to the quantitative analysis also conduct qualitative analysis to clarify the quantitative analysis that has been done. So that what is a problem on Jalan A Yani can also be analyzed, what are the factors that cause congestion and finally show conclusions and recommendations of problems.Keywords: Land use, Traffic Congestion

scholarly journals Assessing Relationships between Land Use Changes and the Development of a Road Network in the Hodonín Region (Czech Republic)

2019 ◽  
Vol 38 (1) ◽  
pp. 145-159 ◽  
Author(s):  
Jiří Jedlička ◽  
Marek Havlíček ◽  
Ivo Dostál ◽  
Jiří Huzlík ◽  
Hana Skokanová
Keyword(s):  
Land Use ◽  
Czech Republic ◽  
Road Network ◽  
Driving Forces ◽  
Land Use Changes ◽  
Road Construction ◽  
Time Interval ◽  
Historical Sources ◽  
The Road ◽  
Anthropogenic Processes

Abstract The paper assesses the development of land use and a road network from 1836 to 2016 in the Hodonín region (Czech Republic). The aim of the article is to verify relationship between the road construction and land use changes in their vicinity. The intensity of land use change processes between adjacent periods was calculated at various distances from roads. ESRI’s geographic information systems and geostatistics were used. This helped in assessing significance of impact of road vicinity on land use changes. The time interval of periods for comparison varied between 25 and 80 years due to availability of historical sources. In each period about 20% of the region was affected by land use changes. After the roads were built, there was an increase in the intensity of land use changes in their vicinity. It has been proofed that presence of a road can be considered one of the driving forces of long-term land use changes in this region. This so-called technological driving force impacted mainly urbanisation and other anthropogenic processes, agricultural intensification and grassing. Its significance is gradually increasing due to urbanisation, industrialisation, motorization and the rising mobility. Our results from the Hodonín region indicate that urbanisation and other anthropogenic processes have the closest relationship with the distance from major roads.

scholarly journals Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

2018 ◽  
Author(s):  
Massimiliano Bordoni ◽  
M. Giuseppina Persichillo ◽  
Claudia Meisina ◽  
Stefano Crema ◽  
Marco Cavalli ◽  
...  
Keyword(s):  
Land Use ◽  
Road Network ◽  
Slope Angle ◽  
Drainage System ◽  
Shallow Landslides ◽  
Mitigation Measures ◽  
Explanatory Variables ◽  
The Road ◽  
Genetic Algorithm Method ◽  
Sediment Connectivity

Abstract. Landslides causes severe damages to the road network of a hit zone, in terms of both direct (partial or complete destruction of a road trait, blockages) and indirect (traffic restriction, cut-off of a certain area) costs. Thus, the identification of the parts of the road network which are more susceptible to landslides is fundamental to reduce the risk to the population potentially exposed and the money expense caused by road damaging. For these reasons, this paper aimed to develop and test a data-driven model based on the Genetic Algorithm Method for the identification of road sectors that are susceptible to be hit by shallow landslides triggered in slopes upstream to the infrastructure. This work also analyzed the importance of considering or not the sediment connectivity on the estimation of the susceptibility. The study was carried out in a catchment of north-eastern Oltrepò Pavese (northern Italy), where several shallow landslides affected roads in the last 8 years. The random partition of the dataset used for building the model in two parts (training and test subsets), within a 100-fold bootstrap procedure, allowed to select the most significant explanatory variables, providing a better description of the occurrence and distribution of the road sectors potentially susceptible to damages induced by shallow landslides. The presented methodology allows the identification, in a robust and reliable way, of the most susceptible road sectors that could be hit by sediments delivered by landslides. The best predictive capability was obtained using a model which took into account also the index of connectivity, calculated according to a linear relationship. Most susceptible road traits resulted to be located below steep slopes with a limited height (lower than 50 m), where sediment connectivity is high. Different scenarios of land use were implemented in order to estimate possible changes in road susceptibility. Land use classes of the study area were characterized by similar connectivity features with a consequent loss of variations also on the susceptibility of the road networks according to different scenarios of distribution of land cover. Larger effects on sediment connectivity and, as a consequence on road susceptibility, could be due to modifications in the morphology of the slopes (e.g. drainage system, modification of the slope angle) caused by the abandonment or by the recovery of cultivations. The results of this research demonstrate the ability of the developed methodology in the assessment of susceptible roads. This could give to the managers of an infrastructure information on the criticality of the different road traits, thereby allowing attention and economic budgets to be shifted towards the most critical assets, where structural and non-structural mitigation measures could be implemented.

Electric Power Distribution Maintenance Crews Routing for Fault Location: Time to Bite the Road-Network Disruptions Bullet

2020 ◽  
Author(s):  
Luiz Desuó N. ◽  
Matheus S. S. Fogliatto ◽  
Michel Bessani ◽  
Rodrigo Z. Fanucchi ◽  
Carlos D. Maciel
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Road Network ◽  
Fault Location ◽  
Optimization Procedure ◽  
Test Case ◽  
Power Distribution System ◽  
The Road ◽  
Network Disruptions

The power distribution system is the most critical, among the power systems, in delivering electricity. Consequently, faults that occur in most cases due to the weather, can cause diverse socio-economic impacts. Hence, considering fault location, the lion's share of the literature addresses maintenance crews patrol routing by merely regarding the power distribution system faults, despite possibly blocked roads or devices accessibility be affected by the weather as well. To properly optimize power distribution system crews inspection routing, the blocked roads must be avoided and the optimization must be conducted to reachable devices. This process is initiated by ltering the blocked roads from the road-network, then a genetic algorithm based on permutation operators is employed on the suitably coded solutions. Furthermore, it was proposed a test case, for the optimization procedure, with a road-network, where the blockedroads were gradually included, and a power distribution system. The resulting solutions showed optimized inspection routes that deviate from blocked roads and skipped from unreachable devices, which is a possible consequence of road-network disruptions. In this manner, they may impact on power distribution maintenance crews routing. Therefore, the suggested methodology proved suitable for a maintenance crew routing under road-network blockage.

scholarly journals Road Traffic Safety Analysis Of Different Junction Types On The State Roads

2021 ◽  
Vol 1202 (1) ◽  
pp. 012034
Author(s):  
Valentina Amare ◽  
Juris Smirnovs
Keyword(s):  
Traffic Safety ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accidents ◽  
The Road ◽  
Road Traffic Safety ◽  
Road Capacity ◽  
On The Road ◽  
The Impact

Abstract The highest number of road accidents occurs at junctions. One of the aims of traffic organisation is to improve traffic safety in these areas. Based on a variety of indices – road capacity, points of conflict, number, and severity of road traffic accidents – different alternatives for junctions are evaluated. However, the road network has many junctions and roads serve to travel from point "A" to point "B" at a given time. Therefore, one of the most important tasks when addressing the issue of road safety is to find a rational way of improving the safety without losing the importance of the road. The aim of this paper is to analyse the impact of different junctions on the road network and basing on actual data develop a method for the evaluation of different types of junctions with respect to road class.

scholarly journals The solving of optimizing the structure of a transport node problem by the fuzzy set method

2021 ◽  
Vol 341 ◽  
pp. 00020
Author(s):  
Liliya Kushchenko ◽  
Sergey Kushchenko
Keyword(s):  
Road Network ◽  
Road Traffic ◽  
Accident Rate ◽  
Capital Costs ◽  
The Road ◽  
Road Capacity ◽  
On The Road ◽  
Technical And Economic Indicators ◽  
Traffic Organization ◽  
Node Problem

One of the main tasks in the road traffic organization is to create fast, convenient and safe traffic on the road network. For this purpose, the main factors influencing the technical and economic indicators for the construction of intersections of various complexity are determined [1, 2]. These include: capital costs, taking into account reconstruction and installation; the area of the territory for the intersection device; the degree of danger of the intersection; maintenance costs; accident rate of the site; road capacity; impact on the environmental situation of the environment.

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