scholarly journals VARIATION PROPERTIES OF TRIP GENERATION, TRIP ATTRACTION, INTRAZONAL TRIPS, AND TRAVEL TIME UNDER TRANSPORT NETWORK DISRUPTION

2021 ◽  
Vol 9 (1) ◽  
pp. 20-38
Author(s):  
Makoto CHIKARAISHI ◽  
Junji URATA ◽  
Daisuke YOSHINO ◽  
Akimasa FUJIWARA
Keyword(s):  
Travel Time ◽  
Transport Network ◽  
Trip Generation ◽  
Network Disruption

scholarly journals Sebaran Pergerakan Pengguna Kendaraan Pribadi Bekasi Barat-DKI Jakarta

2019 ◽  
Vol 24 (3) ◽  
pp. 232
Author(s):  
Herawati Herawati ◽  
Rini Suliyatni
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Travel Time ◽  
Multiple Regression ◽  
Research Methods ◽  
Public Transport ◽  
Urban Areas ◽  
Trip Generation ◽  
Travel Costs ◽  
Distribution Modeling

The high traffic in OKI Jakarta is not only influenced by mavements in but also commuters from sub-urban areas like Bekasi District. For that we need to know the characteristics and distribution of the movement from North Bekasi to Jakarta. The purpose of this study was to determine the distribution of travelling from Bekasi to Jakarta. The research methods used are the establishment of Inter-Zone Travel Time Matrix, trip generation modeling (multiple regression analysis), Travel Distribution Modeling. In addition, the quantity method is used to identify travel time, total travel costs and advanced modes are used when using public transport. Based on the results obtained by the analysis of trip generation models Y = -1.44 of public transport + 2:14 of private vehicles. Trip distribution of Bekasi's population towards OKI Jakarta are Central Jakarta (261 trips/day), East Jakarta (180 trips/ day), South Jakarta (125 trip/day), West Jakarta (74 trips/day), and East Jakarta (87 trips/day). The different of travel time between private vehicles and public transport is average 30 minutes. Private vehicle users must expend more vehicle surcharge of Rp. 11 553 which compared with public transport.

scholarly journals The use of network analysis in the process of delimitation as exemplifi ed by the administrative division of Poland

2017 ◽  
Vol 66 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Marta Borowska-Stefańska ◽  
Szymon Wiśniewski
Keyword(s):  
Network Analysis ◽  
Local Government ◽  
Travel Time ◽  
Public Transport ◽  
Transport Network ◽  
Network Data ◽  
Optimum Number ◽  
Location Allocation ◽  
Administrative Division ◽  
Territorial Division

AbstractThe cognitive aim of this study is to point to the optimum number of local government units and the optimum boundaries of spatial units in Poland with the assumption of minimizing the cumulated theoretical travel time to all settlement units in the country. The methodological aim, in turn, is to present the use of the ArcGIS location-allocation tool for the purposes of delimitation processes as exemplifi ed by administrative boundaries in Poland. The rationale for the implementation of this study is that number and the boundaries of units of all levels of Poland’s current territorial division are far from optimum in the light of minimization of accumulated theoretical travel time to all settlement units in the country. It may be concluded that it would be justifi able to increase the number of voivodships from the current number of 16 to 18. Besides it would be necessary to introduce modifi cations in relation to units with regional functions. In contrast, the number of districts and communes should be reduced. A continuation of this research may go in the direction of including analysis of public transport network in the research, creating in this way a multimodal set of network data. This would illustrate, apart from the potential itself resulting from the infrastructure, also the actually existing connections.

scholarly journals Application of Bat Algorithm for Transport Network Design Problem

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Sweta Srivastava ◽  
Sudip Kumar Sahana
Keyword(s):  
Network Design ◽  
Travel Time ◽  
Design Problem ◽  
Wait Time ◽  
Development Planning ◽  
User Equilibrium ◽  
Transport Network ◽  
Network Design Problem ◽  
Soft Computing Techniques ◽  
Transport Network Design

The requirement of the road services and transportation network development planning came into existence with the development of civilization. In the modern urban transport scenario with the forever mounting amount of vehicles, it is very much essential to tackle network congestion and to minimize the travel time. This work is based on determining the optimal wait time at traffic signals for the microscopic discrete model. The problem is formulated as a bilevel model. The upper layer optimizes the travel time by reducing the wait time at traffic signal and the lower layer solves the stochastic user equilibrium. Soft computing techniques like Genetic Algorithms, Ant Colony Optimization, and many other biologically inspired techniques prove to give good results for bilevel problems. Here this work uses Bat Intelligence to solve the transport network design problem. The results are compared with the existing techniques.

scholarly journals Evaluation model for local transit effectiveness to support the service design in weak demand areas

2021 ◽  
pp. 1-18
Author(s):  
Umberto Petruccelli
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Evaluation Model ◽  
Transport Network ◽  
The Other ◽  
Direct Link ◽  
Transit Service ◽  
Positive Effects ◽  
Service Efficiency

In a public transport network, an integration between lines generally involves, on one hand, the reduction in the number of direct links, which forces users to perform more vehicle switches, and on the other hand, the possibility of supplying a greater number of rides with the same mileage. Thus, the conversion of a direct link scheme to a feeder-trunk one to improve transit service efficiency in weak demand areas produces both negative and positive effects on accessibility. This paper deals with the built of a model able to estimate an equivalent travel time, taking into account the discomfort caused to users by the vehicle switch and the benefit arising from the greater availability of public transit rides. To validate this model and highlight benefits and limitations resulting from feeder-trunk supply schemes an application to a case study was developed.

JUSTIFICATION OF THE FEASIBILITY OF INTRA-CITY RAILWAY COMMUNICATION ON THE EXAMPLE OF THE ST. PETERSBURG AGGLOMERATION

2021 ◽  
Vol 2 (65) ◽  
pp. 78-85
Author(s):  
Mikhail Yu. Kalmykov ◽  
Keyword(s):  
Travel Time ◽  
Transport Network ◽  
Leningrad Region ◽  
Basic Algorithm ◽  
Railway Network ◽  
Advantages And Disadvantages ◽  
Environmental Situation ◽  
Passenger Flows ◽  
Mode Of Transport ◽  
The City

This article discusses the following issues: justification of the feasibility of intra-city railway communication on the example of St. Petersburg, creation of a basic algorithm for commissioning this project for this purpose, the analysis of existing methods used for the introduction of new types of transport was carried out, the main advantages and disadvantages of railway communication are given, the basic algorithm for the introduction of intra-city railway communication is given, the possibility of implementing the project in St. Petersburg is considered. The commissioning of the intra-city railway network allows: to reconsider the issue of the development of the transport network of the agglomeration, promotes the development of an off-street mode of transport that can compete with the metro, redistribute passenger flows coming from the Leningrad region and the suburbs of St. Petersburg, improve the environmental situation in the region by reducing congestion at the entrance to the city by transferring to the intra-city railway communication, which will also reduce the travel time of all traffic participants.

Average Speed of Public Transport Vehicles Based on Smartcard Data

2020 ◽  
pp. 123-144
Author(s):  
Vera Costa ◽  
José Luís Borges ◽  
Teresa Galvão Dias
Keyword(s):  
Data Analysis ◽  
Travel Time ◽  
Public Transport ◽  
Low Frequency ◽  
Transport Network ◽  
Detailed Knowledge ◽  
Clustering Methods ◽  
Average Speed

In public transport, traveler dissatisfaction is widespread, due to long waits and travel time, or the low frequency of the service provided. Public transport providers are increasingly concerned about improving the service provided. To improve public transport, detailed knowledge of the network and its weaknesses is necessary. An easy and cheap way to achieve this information is to extract knowledge from the data daily collected in a public transport network. Thus, this chapter focuses on data analysis resulting from the smartcard-based ticketing system. The main objective is to detect patterns of average speed for all days of the week and times of the day, along with pairs of consecutive stops. To perform the analyses, the average speed was deduced from ticketing data, and clustering methods were applied. The results show that it is possible to find segments with similar patterns and identify days and times with similar patterns.

scholarly journals Modelling Reachability in Transport Networks: Using Alternative Visual Representations in Interactive Linked‐Views to Gain Valuable Insights

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Rehmat Ullah ◽  
Laiq Hasan ◽  
Farman Ullah ◽  
Ajmal Khan ◽  
You-Ze Cho
Keyword(s):  
Travel Time ◽  
Distance Measure ◽  
Physical Distance ◽  
Transport Network ◽  
Travel Times ◽  
Transport Networks ◽  
Railroad Network ◽  
Graphic Representations ◽  
Two Cities ◽  
Linked Views

Most people use maps for navigation. Geographic maps visually represent physical distance between locations. These maps sometimes provide a false impression of travel times. Two cities geographically close to each other might be “far apart” in terms of travel time because of slower connections, whereas two cities geographically distant might be “nearby” in terms of travel time because of faster connections. Under such circumstances, visualizing a transport network using time as a distance measure can make the transport network more understandable. This study integrates several (carto)graphic representations—a time line, a distance line, a time prism, a time cartogram, and a geographic map—in an interactive linked-views environment to model reachability in transport networks. A prototype is implemented in a web environment using D3.js. The implementation can be applied to any transport network. In this research, the approach is illustrated with railroad network data for the Dutch province of Overijssel. The solution provides an alternative and insightful perspective for analyzing the data. In addition to complementing a wide variety of methods to visualizing travel times, the approach could be applied in areas such as spatial analysis and transport planning.

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