Downsizing Strategy for Cars, Beijing for People Not for Cars: Planning for People

Farooq, Asim; Williams, Edward J.; Gahlot, Vimal; Yan, Du; Zhou, Yi

doi:10.3311/pptr.10851

Cited by 3 publications

(6 citation statements)

References 16 publications

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“…From the Beijing second ring area in the direction "XiongAn", the available rail track length is 26km at line 4, of which the last stop is Tiangongyuan, which is located outside the 6th ring road. Since road network links in Beijing are quite widespread and complex, it is now critical to reduce traffic congestion greatly due to these issues [34].…”

Section: Resultsmentioning

confidence: 99%

“…Every one percent increase in GDP for road transportation is responsible for an increase in energy consumption of 0.33 percent and 1.26 percent of urbanization [23]. Many research studies have found that the road network in Beijing is complex and dense, and continuous expansion in road infrastructure strongly affects the future development of the city along with increased motorization [4,33,34]. Road network structure (either single lane or multilane) strongly increases the ecological risk, need for more risk assessment, division, and interference in the regional forest landscape [33,[35][36][37].…”

Section: Introductionmentioning

confidence: 99%

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Transportation Planning through GIS and Multicriteria Analysis: Case Study of Beijing and XiongAn

Farooq

Stoilova

Ahmad³

et al. 2018

Journal of Advanced Transportation

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Urban population growth and urbanization with its impact on urban planning require continuous research in order to address the challenges posed by transportation requirements. Identifying transportation capacity (road and railways) is an important task that can identify whether the network is capable of sustaining the present volume of traffic and whether it can handle the future intended traffic flow. A new city, XiongAn, will be built in the coming years in order to relieve the pressure of population on Beijing and disperse the economic growth, business activity, and opportunities across the country. The focus of this research is to generate a transportation model between Beijing and XiongAn, in order to increase connection and connectivity, reduce travel time, and increase transfer capacity between the two hubs (Beijing-XiongAn). The existing transportation network between two cities is analyzed and a network which can handle future demand has been proposed. The first stage has been the investigation of a variety of options using geographic information system (GIS). Planning and implementing a mass transit system requires choosing among options such as an existing intercity railway line, a new high-speed railway line, and/or motorway options. In the second phase of our analysis, we assess these options relative to multiple criteria, using the analytic hierarchy process (AHP). The options were evaluated using various criteria responsible for selection of alternative; it is found that travel time, cost of travel, safety, reliability, accessibility, and environment are key criteria for selecting the best alternative. The GIS and multicriteria analysis suggested that the best option is to build a new high speed railway line.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transportation Planning through GIS and Multicriteria Analysis: Case Study of Beijing and XiongAn

Farooq

Stoilova

Ahmad³

et al. 2018

Journal of Advanced Transportation

Self Cite

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“…Rapid expansion of motorization causes many problems such as congestion, noise, emissions, and safety risk and so carries an economic and social cost [13]. Naturally therefore smart mobility became a topic of huge interest for researchers, who competed in suggesting different measures to achieve smart sustainable cities [10,14,15]. Proposed transportation networks need to satisfy a variety of criteria: demand, technical feasibility, detailed quantitative evaluation, clear objectives and constraints, travel time, cost of travel, safety, reliability, accessibility, and the environment [16].…”

Section: Introductionmentioning

confidence: 99%

“…Recent studies mainly focus on the level of service level, selecting the shortest route possible, and traffic capacity [26]. Sustainable mobility is a smart tool to reduce congestion, pollutants caused by traffic, and emissions and to improve the quality of the environment [10,14]. During the Reform and Opening Up, migration increased from rural to urban areas due to many factors, such as higher quality of life and employment opportunities [27], and in search of affordable homes a major percentage of people also moved to nearby areas (Urban Sprawl) [28].…”

Section: Introductionmentioning

confidence: 99%

“…To change individual or overall transport travel behavior is a long-term complex process [10]. Sustainable urban mobility is likewise a long-term process, the achievement of which can be possible through strategies, initiatives, parameters, goals, and targets; increase the passenger attraction connected with modern mobility; and improve the technological innovation to increase effectiveness of overall system [14,34]. Transportation bottlenecks are the major impediment to economic growth in Chinese megacities; to vitalize economic options, time-space shrinkages, and sustainable mobility options, HSR is the best solution for the country [35,36].…”

Section: Introductionmentioning

confidence: 99%

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Multicriteria Evaluation of Transport Plan for High-Speed Rail: An Application to Beijing-Xiongan

Farooq

Stoilova

Ahmad³

2019

Mathematical Problems in Engineering

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Beijing has an enormous transportation challenge: to relieve the extreme congestion that has arisen, largely due to overpopulation. To meet this challenge, the city administration has decided to extend its territory; a new city will be planned and built. This new city, Xiongan, will reduce the burden on the capital. A new high-speed railway (HSR) line is designed to transport millions of people every day within less than an hour. This study applies the potential of Geographical Information Systems (GIS) and multicriteria methods, Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE II), to determine the best alternative of transportation for the new high-speed railway line between Beijing and Xiongan, comparing different ones. The methodology consists of two stages. In the first stage remote sensing datasets such as ASTER DEM and LANDSAT images and GIS software such as ERDAS IMAGINE and ArcGIS have been used to determine settlement distribution, station location, elevation model, slope percentage, vegetation percentage, and route alignment for a new high-speed railway line for better understanding of its spatial distribution pattern over the study area. The second phase of the study focusing on assessing the various alternatives of transportation has been determined, and three approaches to choosing the best alternative have been introduced. In the paper we examine criteria associated with travel and economic criteria: travel time, the number of train stops, public satisfaction with transport, the number of seats per day, connectivity, operating costs, profit, and the payback period. Six alternatives of transportation have been studied. The stops in Guan and stations in the metro’s rings have been investigated. In the second stage, the Analytic Hierarchy Process (AHP) and PROMETHEE II methods have been used to select the best alternative. The first approach uses only criteria related to the trip, as the criterion to choose the best alternative is the maximum of the net outranking flows by PROMETHEE II method; the second approach applies two independent criteria: the ratio of normalized operating costs and the normalized net outranking flows, and the ratio of the normalized payback period and the normalized net outranking flows; the third approach includes all defined criteria, and the criterion of choosing the best alternative is the maximum of net outranking flows as calculated by the PROMETHEE II method. The approaches have been analyzed with the purpose of comparing the results. The result indicates that it is expedient to have a station in Guan, which will increase the connection and connectivity among the cities while providing fast mobility options for a large number of inhabitants of Guan city. Furthermore, the result from Remote Sensing and GIS analysis demonstrates that the proposed high-speed railway line will be environmentally sustainable and is economically/socially feasible and that it will certainly attract current and future passengers because of their needs.

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Vehicle Dynamic-based Approach for the Optimization of Traffic Parameters of the Intelligent Driver Model (IDM) and for the Support of Autonomous Vehicles’ Driving Ability

2019

APH

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The research identifies the dynamical parameters in the area of mechanics within the base of traffic model parameters used by the Intelligent Driver Model (IDM), which are the highest acceleration parameters set by the vehicle, the desired speed parameters of the vehicle and the distance-keeping parameters of the vehicle. All this facilitates the automatic control of autonomous electric vehicles in certain vehicle groups.

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Downsizing Strategy for Cars, Beijing for People Not for Cars: Planning for People

Cited by 3 publications

References 16 publications

Transportation Planning through GIS and Multicriteria Analysis: Case Study of Beijing and XiongAn

Transportation Planning through GIS and Multicriteria Analysis: Case Study of Beijing and XiongAn

Multicriteria Evaluation of Transport Plan for High-Speed Rail: An Application to Beijing-Xiongan

Vehicle Dynamic-based Approach for the Optimization of Traffic Parameters of the Intelligent Driver Model (IDM) and for the Support of Autonomous Vehicles’ Driving Ability

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