Mode Choice Behavior Analysis under the Impact of Transfer Fare Discount: A Case Study from Beijing Public Transit System

2020 ◽  
Author(s):  
Xumei Chen ◽  
Jiaxin Ma ◽  
Xihong Bai
Keyword(s):  
Behavior Analysis ◽  
Choice Behavior ◽  
Public Transit ◽  
Mode Choice ◽  
Transit System ◽  
The Impact

Mode Choice Behavior Analysis in N1 Highway: A Case Study from Cumilla to Dhaka

2021 ◽  
pp. 371-383
Author(s):  
S. I. Feroz ◽  
F. H. Chowdhury ◽  
N. A. Alam ◽  
Y. R. Momo ◽  
M. M. Rahman
Keyword(s):  
Behavior Analysis ◽  
Choice Behavior ◽  
Mode Choice

scholarly journals Report from an Interdisciplinary Case Study on a Public Transit System in Crisis

2006 ◽  
Vol 9 (4) ◽  
pp. 23-33 ◽  
Author(s):  
Kim Jones ◽  
Robert Mock ◽  
Sarah Cearley
Keyword(s):  
Public Transit ◽  
Transit System

scholarly journals Analysis of Emergency Evacuation Modal Choice Behavior with Spatial Indicators: Case Study in Xi’an, China

2019 ◽  
Vol 11 (24) ◽  
pp. 7023
Author(s):  
Zhihao Duan ◽  
Jinliang Xu ◽  
Han Ru ◽  
Yaping Dong ◽  
Xingliang Liu
Keyword(s):  
Choice Behavior ◽  
Multinomial Logit Model ◽  
Emergency Evacuation ◽  
Policy Makers ◽  
Effective Measure ◽  
Modal Choice ◽  
Emergency Events ◽  
Spatial Indicators ◽  
The Impact

To reduce the impact of a natural or man-made disaster, an evacuation is often implemented to transfer the population in the potentially impacted area to a safe zone. Evacuation is an effective measure for dealing with emergency events. This paper presents a multinomial logit model for modal choice behavior in a short-notice emergency evacuation, which incorporates spatial indicators into the utility function. The study examined the determinants of evacuees’ modal choice for three evacuation distances and analyzed determinants impacting the mechanism of the modal choice decision process. The data collected in Xi’an was used to provide empirical evidence for the relationship between spatial indicators and modal choice behavior. The findings of this study will help emergency planners and policy-makers develop strategies for evacuation planning and will enable a better understanding of emergency modal choice behaviors.

Opting Out of Transit: How Does Strong Local Autonomy Impact Allocation of Transit Service in a Multi-Jurisdictional Transit Agency? A Historical Case Study Analysis

2020 ◽  
pp. 1087724X2097304
Author(s):  
David Weinreich ◽  
Ahmad Bonakdar
Keyword(s):  
Resource Allocation ◽  
Historical Case Study ◽  
Study Analysis ◽  
Historical Case ◽  
Transit System ◽  
Case Study Analysis ◽  
Transit Service ◽  
Opt Out ◽  
The Impact

This study examines how the voluntary nature of local membership in transportation agencies can impact resource allocation, drawing on details from a major US transit agency in a state that lets cities opt in or out of transit agency membership. This study finds significant correlation between local opt-outs and transit service using national data. This study examines the impact opt-outs have on transit resource allocation and decision making over time, their effect on transit service over decades, and equity implications, using historical case study analysis from the Dallas Area Rapid Transit system (DART). This study concludes that authorizing legislation allowing local jurisdictions to opt out of transit districts weakens planning capacity, creates a structure making it difficult to allocate scarce transit dollars based on transit need and social equity goals, instead favoring allocation based on satisfying each municipality.

scholarly journals Old People’s Fear of COVID-19 Infection and Public Transportation Avoidance : Korean Subway Evidence

2021 ◽  
Author(s):  
Byungjin Park ◽  
Joonmo Cho
Keyword(s):  
Public Transportation ◽  
Public Transit ◽  
The Elderly ◽  
Fixed Effect Model ◽  
Capital City ◽  
Mass Transportation ◽  
Age Group ◽  
Transit System ◽  
Daily Lives ◽  
The Impact

Abstract Background: With the spread of the coronavirus worldwide, a principal policy implemented by nations was restrictions on movement of people. The effect of governments’ mobility restriction measures has been analyzed after the COVID-19 outbreak. However, there is lack of studies on the impact of voluntary restriction that significantly affects the decrease of the mobility. This research aims to analyze mass transportation use after the COVID-19 outbreak by age group to explore how the fear of infection affected the public transit system. Methods: Mass transportation big data of Seoul Metro transportation use in the capital city of South Korea was employed for a panel analysis. To control the environmental characteristics of each district of Seoul Metropolitan City, the fixed-effect model was employed. Results: The analysis results showed that in both the period of the highest infections and the period of the lowest infection of COVID-19, users aged 65 and over reduced subway use more than people aged between 20 and 64. The decrease of subway use caused by the sharp increase of COVID-19 cases was the most prominent among people aged 65 and over. The elasticity of change of subway use demand to change in cases in Seoul was about 0.08 for people aged 65 and over, higher than 0.06 for people aged between 20 and 64. Conclusion: The voluntary restrictions driven by fear of the COVID-19 infection have led to the decrease of public transit demand in Seoul. Although the subway use demand decreased both in the age group of 20 to 64 and the age group of people 65 and older, the elderly responded more sensitively to COVID-19. The results suggest that the fear of COVID-19 pandemic varies with age. It seems that the elderly’s higher death rate from COVID-19 has significantly impacted their behavioral change. This study imply that the elder’s fear of infection has affected their daily lives, consumption, and production activities and their mobility using public transportation.

Investigating the Strategies for Reducing Motorcycle Mode Choice in Urban Trips: Case Study of Tehran City

2019 ◽  
Vol 2673 (10) ◽  
pp. 58-69 ◽  
Author(s):  
Babak Mirbaha ◽  
Fatemeh Mohajeri
Keyword(s):  
Choice Behavior ◽  
Stated Preference ◽  
Mode Choice ◽  
Noise Pollution ◽  
Nested Logit ◽  
Master Plan ◽  
Logit Models ◽  
Maintenance Costs ◽  
Survey Results

Motorcycles in Iran, especially in metropolises such as Tehran, are used extensively for various reasons such as low maintenance costs, high maneuverability, and the possibility of entering congestion priced zones without paying a toll. Nevertheless, motorcycles are involved in 25% of accidents and produce almost 30% of air and 50% of noise pollution in Tehran. Current research aims to investigate possible scenarios for reducing the use of motorcycles in Tehran’s traffic and transportation master plan strategies. After designing the scenarios, a stated preference method is used for gathering the required data from various groups of motorcycle riders in Tehran. More than 2,000 questionnaires were completed of which 1,766 were deemed acceptable for data entering and further analysis. Increasing the price of motorcycle maintenance and charging motorcycles to enter the congestion priced zone of Tehran (CPZT) were two main scenarios which were considered in this research. Multinomial and nested logit models were applied to analyze the trip choice behavior of motorcycle riders who had participated in the survey. Results indicated that strategies such as increasing motorcycle maintenance costs could be effective in reducing the use of motorcycles. For instance, increasing motorcycle maintenance costs by 4.7 times and imposing a 70,000 IRR toll price to enter the CP zone resulted in a 66% reduction in motorcycle mode choice by motorcycle riders.

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