Identifying the Determinants of Light Rail Mode Choice for Medium- and Long-Distance Trips

2012 ◽  
Vol 2275 (1) ◽  
pp. 30-38 ◽  
Author(s):  
Lieve Creemers ◽  
Mario Cools ◽  
Hans Tormans ◽  
Pieter-Jan Lateur ◽  
Davy Janssens ◽  
...  
Keyword(s):  
Travel Time ◽  
Transport System ◽  
Public Transport ◽  
Mode Choice ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Long Distance ◽  
Specific Factors ◽  
Vehicle Travel Time

The introduction of new public transport systems can influence society in a multitude of ways ranging from modal choices and the environment to economic growth. This paper examines the determinants of light rail mode choice for medium- and long-distance trips (10 to 40 km) for a new light rail system in Flanders, Belgium. To investigate these choices, the effects of various transport system–specific factors (i.e., travel cost, in-vehicle travel time, transit punctuality, waiting time, access and egress time, transfers, and availability of seats) as well as the travelers' personal traits were analyzed by using an alternating logistic regression model, which explicitly takes into account the correlated responses for binary data. The data used for the analysis stem from a stated preference survey conducted in Flanders. The modeling results are in line with literature: most transport system–specific factors as well as socioeconomic variables, attitudinal factors, perceptions, and the frequency of using public transport contribute significantly to the preference for light rail transit. In particular, the results indicate that the use of light rail is strongly influenced by travel cost and in-vehicle travel time and to a lesser extent by waiting and access–egress time. Seat availability appeared to play a more important role than did transfers in deciding to choose light rail transit. The findings of this paper can be used by policy makers as a frame of reference to make light rail transit more successful.

scholarly journals Tipologi Potensi Transit-Oriented Development (TOD) di Sekitar Stasiun Light Rail Transit (LRT) Sumatera Selatan

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Siti Fatimah
Keyword(s):  
Cluster Analysis ◽  
Public Transport ◽  
Walking Distance ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Transit Oriented Development ◽  
The South ◽  
Cluster Data ◽  
Base Data

AbstrakLight Rail Transit (LRT) Sumatera Selatan dengan 13 stasiun pemberhentian menyediakan alternatif moda transportasi umum massal di Kota Palembang. Jalur LRT sepanjang sekitar 23 kilometer membentang dari utara ke selatan yang merupakan koridor utama Kota Palembang. Stasiun sebagai titik transit perpindahan dari moda transportasi LRT ke angkutan umum lainnya dan sebaliknya, berpotensi untuk menjadi bagian dari pengembangan Transit-Oriented Development (TOD). Masing-masing stasiun memiliki karakteristik tertentu sesuai kondisi lingkungan terbangun di sekitarnya. Pengelompokan stasiun sebagai area yang potensial untuk pengembangan TOD menyederhanakan perencanaan dan perancangannya. Dengan menggunakan data berbasis spasial, yaitu kepadatan penduduk, persentase kawasan perkantoran, persentase kawasan komersial, rata-rata jarak berjalan kaki, dan kepadatan persimpangan, dilakukan analisis cluster. Hasil analisis menunjukkan bahwa terdapat 3 cluster potensi TOD pada jalur LRT yaitu cluster dengan jarak berjalan jauh, cluster kawasan komersial dan/atau perkantoran, dan cluster area padat penduduk dan/atau persimpangan.Kata kunci: Light Rail Transit (LRT), Transit-Oriented Development (TOD), Analisis Cluster, Data Berbasis Spasial.AbstractThe Typology of the Transit-Oriented Development (TOD) Potential around the South Sumatera Light Rail Transit (LRT): The South Sumatera Light Rail Transit (LRT) that has 13 stops provides an alternative mass public transport mode in Palembang City. The LRT track is around 23 kilometers, run from north to south of Palembang City which is the main corridor. As a transit point from the LRT to other public transport and vice versa, stations potentially be a part of the TOD development area. Each station has certain characteristics according to the built environment around it. Grouping stations as potential areas for TOD development simplifies planning and design. Using spatial base data including population density, percentage of office area, percentage of the commercial area, average walking distance, and intersection density as variables, cluster analysis was conducted. The results of the analysis showed that there were 3 TOD clusters in the LRT pathway including the cluster with long walking distance, cluster in the commercial and/or office area, and cluster in the dense population and/or intersections.Keywords:  Light Rail Transit (LRT), Transit-Oriented Development (TOD), Cluster Analysis, Spatial Base Data.

Transit Users’ Mode Choice Behavior During Light Rail Transit Short-Term Planned Service Disruption

2021 ◽  
pp. 036119812110124
Author(s):  
Muhammad Arslan Asim ◽  
Adam Weiss ◽  
Lina Kattan ◽  
S. C. Wirasinghe
Keyword(s):  
Choice Behavior ◽  
Stated Preference ◽  
Mode Choice ◽  
Wait Time ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Short Term ◽  
Service Disruption ◽  
The Impact

Planned service disruptions (PSDs) of light rail transit (LRT) improve service reliability, extend infrastructure’s life, and reduce the frequency and impact of unplanned service disruption caused by system failure. However, the literature on the impact of LRT PSDs on transit customers’ travel mode choice behavior is scarce relative to that on unplanned service disruptions. This study aimed to investigate transit customers’ mode choice behavior in response to short-term LRT PSD in the City of Calgary, AB, Canada. A stated preference survey was designed to gather respondents’ mode choices under a set of hypothetical scenarios. A mixed multinomial logit model was estimated using stated preference data. Findings of this study include: (i) stated LRT ridership dropped by about 35% during the examined short-term LRT service disruption; (ii) transit customers who hold a LRT payment pass (monthly, subsidized seniors, low income, and students) and are frequent weekend LRT users are more likely to stay with the LRT mode in case of short-term PSD; (iii) the value of time for transit users during short-term LRT PSD was found to be 11.76 $/h and 13.0 $/h for travel time (excluding wait time) and wait time during travel, respectively. A sensitivity analysis was conducted on key variables to predict choice probabilities of transit alternatives. Recommendations are made to improve Calgary Transit customers’ experience during short-term LRT PSDs.

scholarly journals Microscopic Traffic Characterization of Light Rail Transit Systems at Level Crossings

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Robel Desta ◽  
Daric Tesfaye ◽  
János Tóth
Keyword(s):  
Travel Time ◽  
Addis Ababa ◽  
Important Variable ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Level Crossing ◽  
Level Crossings ◽  
Traffic Characterization ◽  
Travel Time Savings

The movement of the light rail vehicles (LRVs) is highly interrupted at level crossings during peak hour times, especially when the intersections are not regulated by a coordinated signal system. Traffic modelling ensures better understanding and interpretation of complex traffic interactions. This study is aimed at modelling light rail transit (LRT) system operational characteristics at level crossings in Addis Ababa City using VISSIM software. The studied scenarios at Sebategna (All Way Stop Controlled, AWSC) and CMC (Roundabout) level crossings are the baseline without LRT scenario, the actual scenario with collected LRV headways, twice arrival frequency scenario, signalized actual LRV arrival, and signalized twice actual LRV arrival. The relative comparisons among the tested scenarios depicted that significant travel time savings can be achieved in some approaches if more green time is offered to nonconflicting phases during a light rail crossing. Overall, the average additional delays at level crossings increase from the base scenario with increasing light rail crossing frequencies, and delay at the level crossing is the second important variable that contributes to the variability of train travel time at peak hours. If it is a must for an intersection to have a rail road to pass through the median, different options should be verified based on the trade-off between the operational cost of the level crossing and the cost incurred if it is grade separated.

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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