Mode Shift Behavior Impacts from the Introduction of Metro Service: Case Study of Xi’an, China

Wang, Yuanqing; Li, Lei; Wang, Zhicheng; Lv, Ting; Wang, Li

doi:10.1061/(asce)up.1943-5444.0000148

Cited by 39 publications

(23 citation statements)

References 16 publications

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“…where V is the running speed of the train and is the typical wavelength corresponding to the three cases A, B, and C in Table 4. The trains for Xi'an Metro Line 2 are B-type, six-car metro trains, including three powered trains and three unpowered trains [26][27][28][29]. The unilateral static wheel load is 70 kN, and the unsprung mass is 750 kg.…”

Section: Train Loadmentioning

confidence: 99%

Vibration Response Characteristics of the Cross Tunnel Structure

Lai

Wang

Qiu

et al. 2016

Shock and Vibration

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It is well known that the tunnel structure will lose its function under the long-term repeated function of the vibration effect. A prime example is the Xi’an cross tunnel structure (CTS) of Metro Line 2 and the Yongningmen tunnel, where the vibration response of the tunnel vehicle load and metro train load to the structure of shield tunnel was analyzed by applying the three-dimensional (3D) dynamic finite element model. The effect of the train running was simulated by applying the time-history curves of vibration force of the track induced by wheel axles, using the fitted formulas for vehicle and train vibration load. The characteristics and the spreading rules of vibration response of metro tunnel structure were researched from the perspectives of acceleration, velocity, displacement, and stress. It was found that vehicle load only affects the metro tunnel within 14 m from the centre, and the influence decreases gradually from vault to spandrel, haunch, and springing. The high-speed driving effect of the train can be divided into the close period, the rising period, the stable period, the declining period, and the leaving period. The stress at haunch should be carefully considered. The research results presented for this case study provide theoretical support for the safety of vibration response of Metro Line 2 structure.

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Section: Train Loadmentioning

confidence: 99%

Vibration Response Characteristics of the Cross Tunnel Structure

Lai

Wang

Qiu

et al. 2016

Shock and Vibration

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“…14 Authorities have given out massive subsidies to lure multinational investments (Jingji guancha bao, 2012b), and invested heavily in tourism mega-projects and advanced infrastructure such as a sprawling subway network and one of Asia's largest high-speed rail terminals (Xi'an ribao, 2006). Yet, early evidence suggests that construction of new subway lines has catered to newly developed suburban areas as much as densely populated urban districts, and has not been effectively integrated with other transport modes (Wang et al, 2013). Meanwhile, debt-based financing for urban construction in Xi'an and Xianyang has created financial risks and large implicit future costs (Jiang et al, 2010: 174-88).…”

Section: Forging An "International Metropolis": the Case Of Greater Xmentioning

confidence: 99%

“…Meanwhile, it is unclear how well equipped provincial and municipal authorities are to address the ground-level consequences of booming metropolitan growth. While the province has prioritized Greater Xi'an's outward profile and linkages, urban public services and more routine forms of urban transport such as buses and bicycles have received less attention (Wang et al, 2013). Municipal authorities in Greater Xi'an may not have the means to service the millions of new urban residents official plans call for, or to address sharp sociospatial inequality in the metropolitan area.…”

Section: The Xi-xian New Area-urban Growth According To Provincial Prmentioning

confidence: 99%

Forging Greater Xi’an

Jaros

2016

Modern China

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“…With rapid economic development and high-level urbanisation, large-scale cities in China experience traffic congestion [1,2]. Twenty-six percent of China's urban commuting peaks were in a state of congestion in 2017 [3].…”

Section: Introductionmentioning

confidence: 99%

Operating Characteristics of Dockless Bike-Sharing Systems near Metro Stations: Case Study in Nanjing City, China

Zhu

Guo

2019

Sustainability

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With the growth of dockless bike-sharing (DLBS) systems, the first-and-last mile connection to public transport, such as metro and light railway stations, could be improved. DLBS systems complete the trip chain by connecting metro stations with points of interest and enhance the sustainability of urban transportation. Therefore, it is necessary to understand the trans-shipment characteristics of DLBS systems for metro stations. In this study, we collected data from the Mobike DLBS system in Nanjing City, China and applied K-means clustering to analyse the activity patterns of DLBS systems near local metro stations. Metro stations were categorised into five types on workdays and three types on weekends. An analysis of the relationships between activity patterns and spatial distribution characteristics demonstrated that the distribution of clusters possesses a strong connection with the surrounding environment. Low land development rates and a sparse distribution of metro stations cause a large range of influences. This research has direct implications for understanding the operating state of DLBS systems near metro stations and promoting the proper management of DLBS systems.

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Mode Shift Behavior Impacts from the Introduction of Metro Service: Case Study of Xi’an, China

Cited by 39 publications

References 16 publications

Vibration Response Characteristics of the Cross Tunnel Structure

Vibration Response Characteristics of the Cross Tunnel Structure

Forging Greater Xi’an

Operating Characteristics of Dockless Bike-Sharing Systems near Metro Stations: Case Study in Nanjing City, China

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