scholarly journals Exploring the Association of the Built Environment, Accessibility and Commuting Frequency with the Travel Times of High-Speed Rail Commuters: Evidence from China

2020 ◽  
Vol 46 (3) ◽  
pp. 342-361
Author(s):  
Hyungchul Chung ◽  
Yueming Yang ◽  
Chia-Lin Chen ◽  
Roger Vickerman
Keyword(s):  
Built Environment ◽  
High Speed ◽  
High Speed Rail ◽  
Healthcare Facilities ◽  
Last Mile ◽  
Travel Mode Choice ◽  
Key Factor ◽  
Commuting Time ◽  
Metro Systems ◽  
Dense Urban Environment

This paper explores door-to-door commuting pa erns and the way commuting time is associated with three factors: the built environment, transport mode (from residence and workplace to HSR stations), and commute frequency. Econometric and statistical analyses are employed to examine evidence from China that draws on a survey targeting Suzhou-based HSR commuters who travel to work in Shanghai. The findings present three major points. First, a dense urban environment around residence and workplace is associated with reduced commuting time to high-density healthcare facilities (Suzhou and Shanghai) and financial institutions (Shanghai only). However, the density of public transport facilities near both residence and workplace has no association with commuting time. Second, taking the metro to and from HSR stations shows signi ficant association with increased commuting time for the first and last miles, while walking from HSR stations to the workplace shows signi ficant reduction of commuting time. Third, daily commuting is associated with reduced commuting time in the first mile, while weekly commuting is reversely related to longer commuting time in the last mile, which is coupled with a shorter commuting time for the first mile than the last mile. These findings lead us to conclude that reducing the total commuting time for a door-to-door journey is a key factor in associated commuting pa erns, commuting frequency, and travel mode choice. This re flects the choices commuters make in relation to where they live rather than where they work, which off ers fewer options. A longer last mile relates to a weekly commuting pa ern rather than a daily commuting. The current public metro systems in both home and work cities appear to be lengthy and inefficient. Transitoriented and integrated development is required to provide more efficient experiences for commuters.

scholarly journals Impact of Built Environment on First- and Last-Mile Travel Mode Choice

2018 ◽  
Vol 2672 (6) ◽  
pp. 40-51 ◽  
Author(s):  
Baichuan Mo ◽  
Yu Shen ◽  
Jinhua Zhao
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Mixed Logit ◽  
Light Rail ◽  
Last Mile ◽  
Travel Mode Choice ◽  
Land Use Mix ◽  
Household Interview ◽  
The Impact

The paper studies the impacts of built environment (BE) on the first- and last-mile travel modal choice. We select Singapore as a case study. The data used for this work is extracted from the first- and last-mile trips to mass rapid transit (MRT) stations in the Household Interview Travel Survey of Singapore in 2012 with nearly 24,000 samples. The BE indicators are quantified based on four “D” variables: Density, Diversity, Design, and Distance to transit. We also take into account sociodemographic and trip-specific variables. Mixed logit (ML) modeling frameworks are adopted to estimate the impact of BE and the heterogeneity of taste across the sample. Based on the availability of light rail transit (LRT) in different areas, two modeling structures are implemented with binary ML models for non-LRT areas where “walk” and “bus” are the available travel modes, and multinomial ML models for areas where LRT is an additional alternative. The modeling results shed light on the following findings: BE—especially distance to MRT station, transportation infrastructures, land-use mix, and socioeconomic activities—significantly influences the first- and last-mile travel behaviors. Those who live or work close to MRT stations and in an area with high socioeconomic activities and land-use mix may have stronger preferences to walk for the first- and last-mile trips. The impact of physical BE (i.e., distance, infrastructures) is relatively homogeneous among the sample, while the impact of socioeconomic BE factors (i.e., floor space density, entropy) tends to vary across the sample.

Using CFD Method to Simulate Respiratory Aerosols Transportation in Ventilated Built Environment

2012 ◽  
Vol 204-208 ◽  
pp. 4292-4297
Author(s):  
Guo Hui Feng ◽  
Yi Zhang ◽  
Xin Ying Lan
Keyword(s):  
Built Environment ◽  
High Speed ◽  
Literature Study ◽  
High Speed Rail ◽  
Matter Model ◽  
Ventilation Pattern ◽  
Cfd Method ◽  
Room Model ◽  
Droplet Nuclei ◽  
Computer Resources

A brief review on the respiratory aerosols transportation in ventilated built environment using CFD method was carried. Performs in-depth literature study about room model, manikin, respiratory aerosols, ventilation type and aerosol particulate matter model. Based on this study, summarizes the research status in quo and the main problem existed at home and abroad. The results showed that (1) recent studies mainly concerned on specific environment such as treatment room, aircraft cabin mock-up, office room, bus and high-speed rail cabin and based on the specific environment to simulate, (2) some studies put emphases only on droplet or droplet nuclei, and at the same time, evaporation, deposition and coagulation were neglected sometimes, (3) there were lack of studies on moving manikins (4) there was no finial conclusion about which ventilation pattern was better for reducing the risk of cross-infection from airborne transmission diseases in a certain place, (5) to choose the Lagrangian method or the Eulerian method for a certain problem generally depends on the subjects, targets, and the computer resources available.

Research on Prediction of High-Speed Rail Trains Delay Time

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Jing Shi ◽  
Qiyuan Peng ◽  
Ling Liu
Keyword(s):  
Delay Time ◽  
High Speed ◽  
High Speed Rail

THE HIGH-SPEED RAIL HANDBOOK: A TECHNICAL GUIDE1

2018 ◽  
Vol 8 (3) ◽  
pp. 515-530
Author(s):  
Massimo Zucchetti1,2 ◽  
◽  
Keyword(s):  
High Speed ◽  
High Speed Rail

High-Speed Rail Networks, Capacity Investments and Social Welfare

2019 ◽  
Author(s):  
Valentina Bracaglia ◽  
Tiziana D'Alfonso ◽  
Alberto Nastasi ◽  
Dian Sheng ◽  
Yulai Wan ◽  
...  
Keyword(s):  
Social Welfare ◽  
High Speed ◽  
High Speed Rail
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