scholarly journals Impacts of New Light Rail Transit Service on Riders' Residential Relocation Decisions

2017 ◽  
Vol 20 (2) ◽  
pp. 152-165
Author(s):  
You-Lian Chu ◽  
◽  
Yi Deng ◽  
Rongfang Liu ◽  
◽  
...  
Keyword(s):  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Residential Relocation ◽  
Transit Service

scholarly journals The effect of service attributes’ hierarchy on passengers’ segmentation. A light rail transit service case study

2016 ◽  
Author(s):  
Francisco Javier Diez de los Rios Mesa ◽  
Rocío De Oña López ◽  
Juan De Oña López
Keyword(s):  
Service Quality ◽  
Clustering Algorithm ◽  
Latent Class ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Quality Factors ◽  
Analytical Technique ◽  
Transit Service ◽  
Satisfaction Rates

Market segmentation can help transit operators to identify groups of passengers that share particular characteristics and specific needs and requirements about the service. Traditionally, socioeconomic variables have been used to perform a simple segmentation, although satisfaction rates about service attributes were not similar among individuals belonging to a group. Cluster analysis emerges as a novel analytical technique for extracting passengers’ profiles. This paper investigates passengers’ profiles at the metropolitan Light Rail Transit service of Seville (Spain). Latent Class Clustering algorithm is applied and satisfaction rates about different service quality attributes are considered for the segmentation. Particularly, two different cluster analyses are accomplished: first level, with only socioeconomic attributes; and second level, with eight service quality factors and socioeconomic attributes. The service quality factors are obtained through a principal component analysis, at which, the large number of attributes describing the service is reduced into constructs underlying them. Equivalent satisfaction rates are calculated for these service factors. Then, homogeneous groups of passengers are obtained. Additionally, the main differences among cluster are identified.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3844

OPERATIONAL CARBON FOOTPRINT OF LIGHT RAIL TRANSIT SERVICE IN THE GREATER KL/KLANG VALLEY METROPOLIS

2015 ◽  
Vol 23 (1) ◽  
pp. 79-99
Author(s):  
Sau Soon Chen ◽  
◽  
Muhammad Zuhayr Dzul Haimi ◽  
Anuar Nordin ◽  
◽  
...  
Keyword(s):  
Carbon Footprint ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Transit Service ◽  
Klang Valley

scholarly journals From “Big Small Town” to “Small Big City”: Resident Experiences of Gentrification along Waterloo Region’s LRT Corridor

2021 ◽  
pp. 0739456X2199391
Author(s):  
Margaret Ellis-Young ◽  
Brian Doucet
Keyword(s):  
Statistical Analysis ◽  
Strong Evidence ◽  
Small Town ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Big City ◽  
Waterloo Region

Most studies of transit-induced gentrification rely on statistical analysis that measures the extent to which gentrification is occurring. To extend and enhance our knowledge of its impact, we conducted sixty-five interviews with residents living along the light rail transit (LRT) corridor in Waterloo Region, Ontario, Canada, shortly before the system opened. There was already strong evidence of gentrification, with more than $3 billion (Canadian dollars) worth of investment, largely in condominiums, before a single passenger was carried. In line with contemporary critical conceptualizations of gentrification, our interviews identified new and complex psychological, phenomenological, and experiential aspects of gentrification, in addition to economic- or class-based changes.

A simplified iterative approach for testing the pulse derailment of light rail vehicles across a viaduct to near-fault earthquake scenarios

2021 ◽  
pp. 095440972098741
Author(s):  
Ling-Kun Chen ◽  
Peng Liu ◽  
Li-Ming Zhu ◽  
Jing-Bo Ding ◽  
Yu-Lin Feng ◽  
...  
Keyword(s):  
Ground Motions ◽  
Simulation Software ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Seismic Responses ◽  
Near Fault ◽  
Rail Vehicle ◽  
Pulse Type ◽  
The Impact

Near-fault (NF) earthquakes cause severe bridge damage, particularly urban bridges subjected to light rail transit (LRT), which could affect the safety of the light rail transit vehicle (“light rail vehicle” or “LRV” for short). Now when a variety of studies on the fault fracture effect on the working protection of LRVs are available for the study of cars subjected to far-reaching soil motion (FFGMs), further examination is appropriate. For the first time, this paper introduced the LRV derailment mechanism caused by pulse-type near-fault ground motions (NFGMs), suggesting the concept of pulse derailment. The effects of near-fault ground motions (NFGMs) are included in an available numerical process developed for the LRV analysis of the VBI system. A simplified iterative algorithm is proposed to assess the stability and nonlinear seismic response of an LRV-reinforced concrete (RC) viaduct (LRVBRCV) system to a long-period NFGMs using the dynamic substructure method (DSM). Furthermore, a computer simulation software was developed to compute the nonlinear seismic responses of the VBI system to pulse-type NFGMs, non-pulse-type NFGMs, and FFGMs named Dynamic Interaction Analysis for Light-Rail-Vehicle Bridge System (DIALRVBS). The nonlinear bridge seismic reaction determines the impact of pulses on lateral peak earth acceleration (Ap) and lateral peak land (Vp) ratios. The analysis results quantify the effects of pulse-type NFGMs seismic responses on the LRV operations' safety. In contrast with the pulse-type non-pulse NFGMs and FFGMs, this article's research shows that pulse-type NFGM derail trains primarily via the transverse velocity pulse effect. Hence, this study's results and the proposed method can improve the LRT bridges' seismic designs.

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