Modeling the Impact of Transit Fare Change on Passengers’ Accessibility

2017 ◽  
Vol 2652 (1) ◽  
pp. 78-86 ◽  
Author(s):  
Zhenyuan (Eric) Ma ◽  
Abdul Rahman Masoud ◽  
Ahmed O. Idris
Keyword(s):  
British Columbia ◽  
Travel Time ◽  
Choice Model ◽  
Transit Planning ◽  
Job Accessibility ◽  
Monetary Value ◽  
Mode Choice Model ◽  
Transit Agencies ◽  
The Impact ◽  
The City

Accessibility “to” and “through” public transit has been one key transit planning indicator that reflects service quality. Occasionally, transit agencies may consider a fare change to maintain operations or to attract more passengers. However, transit agencies do not usually consider the effect of such fare change on passengers’ accessibility. This paper investigates that effect. A multinomial logit mode choice model is developed to measure the monetary value of transit users’ travel time. Then, the cumulative opportunity measure of accessibility is used to examine the change in job accessibility after a recent transit fare increase in the city of Kelowna, British Columbia, Canada. The results show that the loss in job accessibility resulting from transit fare increase is inversely proportional to the length of the trip, given a flat fare structure. The findings of this paper should be kept in mind before a transit agency rethinks transit fare structures. For example, a transit agency could consider applying a zone-based fare structure as opposed to a flat fare structure to ensure better equity for all transit users.

scholarly journals Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters

2021 ◽  
Author(s):  
Aliaksandr Malokin ◽  
Giovanni Circella ◽  
Patricia L. Mokhtarian
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Willingness To Pay ◽  
Travel Time ◽  
Choice Model ◽  
Mode Choice ◽  
Revealed Preference ◽  
Northern California ◽  
Factors Affecting ◽  
The Impact

AbstractMillennials, the demographic cohort born in the last two decades of the twentieth century, are reported to adopt information and communication technologies (ICTs) in their everyday lives, including travel, to a greater extent than older generations. As ICT-driven travel-based multitasking influences travelers’ experience and satisfaction in various ways, millennials are expected to be affected at a greater scale. Still, to our knowledge, no previous studies have specifically focused on the impact of travel multitasking on travel behavior and the value of travel time (VOTT) of young adults. To address this gap, we use an original dataset collected among Northern California commuters (N = 2216) to analyze the magnitude and significance of individual and household-level factors affecting commute mode choice. We estimate a revealed-preference mode choice model and investigate the differences between millennials and older adults in the sample. Additionally, we conduct a sensitivity analysis to explore how incorporation of explanatory factors such as attitudes and propensity to multitask while traveling in mode choice models affects coefficient estimates, VOTT, and willingness to pay to use a laptop on the commute. Compared to non-millennials, the mode choice of millennials is found to be less affected by socio-economic characteristics and more strongly influenced by the activities performed while traveling. Young adults are found to have lower VOTT than older adults for both in-vehicle (15.0% less) and out-of-vehicle travel time (15.7% less), and higher willingness to pay (in time or money) to use a laptop, even after controlling for demographic traits, personal attitudes, and the propensity to multitask. This study contributes to better understanding the commuting behavior of millennials, and the factors affecting it, a topic of interest to transportation researchers, planners, and practitioners.

scholarly journals Measuring when Uber behaves as a substitute or complement to transit: An examination of travel-time differences in Toronto

2019 ◽  
Author(s):  
Mischa Young ◽  
Jeff Allen ◽  
Steven Farber
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Ordinary Least Squares ◽  
Gap Filling ◽  
Service Levels ◽  
Transit Service ◽  
Logistic Regressions ◽  
Transit Agencies ◽  
Using Data ◽  
The City

Policymakers in cities worldwide are trying to determine how ride-hailing services affect the ridership of traditional forms of public transportation. The level of convenience and comfort that these services provide is bound to take riders away from transit, but by operating in areas, or at times, when transit is less frequent, they may also be filling a gap left vacant by transit operations. These contradictory effects reveal why we should not merely categorize all ride-hailing services as a substitute or supplement to transit, and demonstrate the need to examine ride-hailing trips individually. Using data from the 2016 Transportation Tomorrow Survey in Toronto, we investigate the differences in travel-times between observed ride-hailing trips and their fastest transit alternatives. Ordinary least squares and ordered logistic regressions are used to uncover the characteristics that influence travel-time differences. We find that ride-hailing trips contained within the City of Toronto, pursued during peak hours, or for shopping purposes, are more likely to have transit alternatives of similar duration. Also, we find differences in travel-time often to be caused by transfers and lengthy walk- and wait-times for transit. Our results further indicate that 31% of ride-hailing trips in our sample have transit alternatives of similar duration (≤ 15 minute difference). These are particularly damaging for transit agencies as they compete directly with services that fall within reasonable expectations of transit service levels. We also find that 27% of ride-hailing trips would take at least 30 minutes longer by transit, evidence for significant gap-filling opportunity of ride-hailing services. In light of these findings, we discuss recommendations for ride-hailing taxation structures.

scholarly journals Car Ownership of Households in Sub-Urban Area in Makassar City

2018 ◽  
Vol 203 ◽  
pp. 05005
Author(s):  
Mubassirang Pasra ◽  
Muhammad Isran Ramli ◽  
Dimas Endrayana Dharmowijoyo
Keyword(s):  
Urban Area ◽  
Goodness Of Fit ◽  
Choice Model ◽  
Multinomial Logit Model ◽  
Car Ownership ◽  
Residential Areas ◽  
Mode Choice Model ◽  
The Relationship ◽  
The City ◽  
Model Approach

The present study aims to grasp the car ownership characteristics of households in the sub-urban area in Makassar City, Indonesia. The study considers some exogenous characteristics of the households, such house types, family size, income, motorcycle ownership, trip number, and worker number. To construct the relationship between those characteristics and the car ownership, we applied the multinomial logit model approach. This study surveyed seven residential areas in the sub-urban area of the city. The survey conducted an interviewing method using a questionnaire sheet. The survey respondents as representative of the households, which selected randomly from the residential areas. The results show that the goodness of fit of the car ownership model is acceptable enough. Further, all of the exogenous variables significantly influence the households in car ownership. We expected that the results provide a basis for further studies such time valuation of car riders, mode choice model of the households, etc.

scholarly journals The Displacement of Santiago de Chile’s Downtown during 1990–2015: Travel Time Effects on Eradicated Population

2019 ◽  
Vol 12 (1) ◽  
pp. 289 ◽  
Author(s):  
Gonzalo Suazo-Vecino ◽  
Juan Carlos Muñoz ◽  
Luis Fuentes Arce
Keyword(s):  
Travel Time ◽  
Surface Area ◽  
Low Income ◽  
Central Area ◽  
Time Effects ◽  
Socioeconomic Groups ◽  
Santiago De Chile ◽  
Average Travel Time ◽  
The Impact ◽  
The City

The center of activities of Santiago de Chile has been continuously evolving towards the eastern part of the city, where the most affluent residents live. This paper characterizes the direction and magnitude of this evolution through an indicator stating how much the built surface area for service purposes grows in different areas in the city. To identify the impact of this evolution, we compare residents’ travel-time distributions from different sectors in the city to the central area. This travel-time comparison is focused on the sectors where informal settlements were massively eradicated between 1978–1985 and those areas where the settlements were relocated. This analysis show that this policy and the consequent evolution of the city were detrimental to the affected families, significantly increasing average travel time to the extended center of the city and inequality among different socioeconomic groups in the city. Although the phenomenon is quite visible to everyone, it has not received any policy reaction from the authority. These findings suggest that middle and low-income sectors would benefit if policies driving the evolution of the center of activities towards them were implemented.

scholarly journals Health and Heating in the City of Temuco (Chile). Monetary Savings of Replacing Biomass with PV System in the Residential Sector

2019 ◽  
Vol 11 (19) ◽  
pp. 5205
Author(s):  
José M. Cansino ◽  
Roberto Moreno ◽  
Daniela Quintana ◽  
Rocio Roman-Collado
Keyword(s):  
Traffic Accidents ◽  
Pv System ◽  
Statistical Life ◽  
Monetary Value ◽  
Life Years ◽  
Heating Degree Days ◽  
Polluting Emissions ◽  
Storage Batteries ◽  
The Impact ◽  
The City

The paper conducts a comprehensive analysis of replacing residential use of wood burning stoves for heating with photovoltaic systems for the generation of electricity using storage batteries (PV + storage systems). The research focuses on the city of Temuco (Southern Chile) as a case study, since this city has a high use of firewood for heating (80% of households) and also because this city has been declared by authorities as an area saturated with suspended particles. The total cost corresponds to the acquisition of systems. The reduction of monetary value of the impact of polluting emissions, resulting from the combustion of firewood, on health and traffic accidents is calculated. The interactive tool GDB Compare has been used to calculate the impact of pollution on health both in terms of attributable deaths and disability-adjusted life years. The monetary value of the impact on health has been calculated using two alternative approaches: the value of statistical life and the human capital approach. To identify firewood use requirements, heating degree–days has been used for temperatures ≤15 °C and ≤18 °C. The emissions avoided calculations have been refined, including emissions associated with the manufacture and transport of systems through the life cycle analysis. For all scenarios, the main results show that the savings outweigh the costs.

The Impact of Traffic Information on Drivers’ Day-to-Day Route Choice Behavior

2011 ◽  
Vol 97-98 ◽  
pp. 925-930
Author(s):  
Shi Xu Liu ◽  
Hong Zhi Guan
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Choice Behavior ◽  
Choice Model ◽  
Route Choice ◽  
User Equilibrium ◽  
Statistical Characteristics ◽  
Traffic Information ◽  
Route Choice Behavior ◽  
The Impact

The influence of different traffic information on drivers’ day-to-day route choice behavior based on microscopic simulation is investigated. Firstly, it is assumed that drivers select routes in terms of drivers’ perceived travel time on routes. Consequently, the route choice model is developed. Then, updating the drivers’ perceived travel time on routes is modeled in three kinds of traffic information conditions respectively, which no information, releasing historical information and releasing predictive information. Finally, by setting a simple road network with two parallel paths, the drivers’ day-to-day route choice is simulated. The statistical characteristics of drivers’ behavior are computed. Considering user equilibrium as a yardstick, the effects of three kinds of traffic information are compared. The results show that the impacts of traffic information on drivers are related to the random level of driver’s route choice and reliance on the information. In addition, the road network cannot reach user equilibrium in three kinds of information. This research results can provide a useful reference for the application of traffic information system.

scholarly journals Un cadre analytique pour étudier l’impact économique des autoroutes interurbaines : une application à la région de Montréal

2009 ◽  
Vol 51 (3) ◽  
pp. 383-404
Author(s):  
Mario Polèse ◽  
Jean-Claude Thibodeau
Keyword(s):  
Travel Time ◽  
Service Sector ◽  
Economic Structure ◽  
Radical Change ◽  
Negative Consequences ◽  
Time Zone ◽  
Industrial Growth ◽  
Short Run ◽  
The Impact ◽  
The City

Abstract In this paper, the authors propose a framework which enables them to analyse the economic impact of new highway links between Montreal and eleven surrounding cities, specifically the impact on the economic structure of those cities. The authors observe a relationship between changes in accessibility (to Montreal) and economic structure. Greater accessibility resulting from new highway construction seems generally to favour industrial growth and diversification, although a very rapid and radical change in accessibility can also have negative consequences on the short run. The service sector appears particularly sensitive to changes in accessibility. The authors observe a cut off point of one hour's travel time: as soon as city falls within this travel-time zone its service sector (especially more the sophisticated services) systematically declines. Finally, the authors conclude that the precise nature of the impact of increased accessibility to Montreal is largely a function of the original economic structure of the city concerned: certain structures are more sensitive to changes in accessibility than others.

scholarly journals Introducing a Navigation Algorithm for Reducing the Spread of Diseases in Public Transport Networks

2021 ◽  
Author(s):  
Jens Klinker ◽  
Mohamed Hechem Selmi ◽  
Mariana Avezum ◽  
Stephan Jonas
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Urban Traffic ◽  
Planning Problem ◽  
Navigation Algorithm ◽  
Urban Public Transport ◽  
Flow Through ◽  
The Impact ◽  
The City

Reducing passenger flow through highly frequented bottlenecks in public transportation networks is a well-known urban planning problem. This issue has become even more relevant since the outbreak of the SARS-CoV-2 pandemic and the necessity for minimum distances between passengers. We propose an approach that allows to dynamically navigate passengers around dangerously crowded stations to better distribute the passenger load across an entire urban public transport network. This is achieved through the introduction of new constraints into routing requests, that enable the avoidance of specific nodes in a network. These requests consider walks, bikes, metros, subways, trams and buses as possible modes of transportation. An implementation of the approach is provided in cooperation with the Munich Travel Corporation (MVG) for the city of Munich, to simulate the effects on a real city’s urban traffic flow. Among other factors, the impact on the travel time was simulated given that the two major exchange points in the network were to be avoided. With an increase from 26.5 to 26.8 minutes on the average travel time, the simulation suggests that the time penalty might be worth the safety benefits.

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