scholarly journals The Fuzzy Lattice Order Decision-Making Method for Travel Mode Choice Based on The Travel Time Reliability

2007 ◽  
Author(s):  
Liyuan Zhao ◽  
Wen Du ◽  
Guang Hao ◽  
Chengbing Li
Keyword(s):  
Decision Making ◽  
Travel Time ◽  
Mode Choice ◽  
Travel Time Reliability ◽  
Lattice Order ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
Fuzzy Lattice

scholarly journals OPTIMIZATION OF AN URBAN TRANSPORT SYSTEM ON THE CONDITION OF DIFFERENT GOALS OF MUNICIPAL AUTHORITIES, OPERATORS AND PASSENGERS

Transport ◽  
2016 ◽  
Vol 31 (1) ◽  
pp. 63-69 ◽  
Author(s):  
Mark Koryagin ◽  
Vladimir Katargin
Keyword(s):  
Control System ◽  
Travel Time ◽  
Public Transport ◽  
Mode Choice ◽  
Theoretic Approach ◽  
Passenger Transport ◽  
Travel Mode ◽  
Passenger Flow ◽  
Road Capacity ◽  
Travel Mode Choice

A control system of urban passenger transport is considered. The system participants are a passenger flow, a transport operator and municipal authorities. The participants’ strategies include a travel mode choice, a frequency of public transport service, and a road capacity. Objective functions are transport costs, public transport profit, road costs, and travel time. The passenger flow heterogeneity is based on the value of time that has an exponential distribution. The total costs of passenger flow depend on the probability of the travel mode choice. The dependence between travel time, roads capacity, and traffic is based on Greenshields model. The authorities’ objective consists of travel time and road costs, which can be changed by the road capacity. The game theoretic approach is applied to describe the control system. The existence of Nash equilibrium for coalition-free games for two (the passenger flow and the authorities and three (with addition of public transport) players is proved. The characteristics of urban passenger transport were studied based on a numerical example.

scholarly journals The Response of Urban Travel Mode Choice to Parking Fees considering Travel Time Variability

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Ling Ding ◽  
Xu Yang
Keyword(s):  
Travel Time ◽  
Mode Choice ◽  
Time Variability ◽  
Pricing Strategies ◽  
Travel Time Reliability ◽  
Travel Mode ◽  
Multinomial Logit Models ◽  
Travel Time Savings ◽  
Automobile Use ◽  
Travel Time Variability

Increasing automobile use leads to higher costs for traveling associated with emissions, congestion, noise, and other impacts. One option to address this is to introduce high parking charges to reduce the demand for automobile use and encourage the travel mode switch to public transport. To estimate commuters’ mode choice behavior in response to high parking fees, commuters from Nanjing completed an individually customized discrete choice survey in which they chose between driving and taking the bus or metro when choices varied in terms of time and cost attributes. Multinomial logit models were used to estimate commuters’ responses to high parking charges. In the models, the variability of travel times is considered and analyzed in the stated mode choice models. The results suggest that increases in costs of driving will lead to a great reduction in driving demand. The travel time reliability ratio is 0.50 and the value of each minute late is almost 5.0 times more than the average travel time with the restriction of the maximum allowed delays. The methods used in this study could be adopted to estimate the effect of variable pricing strategies on mode choice responses for different trip purposes. The high value given to travel time variability has implications for transport policy in terms of decision making with respect to new pricing strategies. Moreover, the valuation of travel time savings taken into account in this study would be helpful to better understand the effect of high parking fees.

scholarly journals Park and ride study at light rapid transit (LRT) stations in Puchong, Malaysia

2018 ◽  
Vol 7 (3) ◽  
pp. 1730
Author(s):  
Boon Hoe GOH ◽  
Phang Han Xiang ◽  
Yuen Choon Wah ◽  
Kang Byung Gyoo
Keyword(s):  
Travel Time ◽  
Choice Model ◽  
Mode Choice ◽  
Binary Logistic Regression ◽  
Travel Distance ◽  
Rapid Transit ◽  
Travel Mode ◽  
Trip Purpose ◽  
Park And Ride ◽  
Travel Mode Choice

This paper explored the factors influencing commuter’s preferences of using park and ride (PnR), by investigating their travel mode choice behaviour, and assessing the effectiveness of PnR facilities. Binary logistic regression (BLR) was used to develop travel mode choice model which provides insight into commuter’s considerations contributing to the utilisation of PnR facility. Several scenarios were modelled to investigate the effect of policy changes on commuter’s travel mode shift, which could be essential in formulating effective strategy to promote the use of PnR. The results revealed working trip, short travel time (< 15 mins) and medium long travel distance (1–3 km), were the main considerations of commuter using PnR. The significant influencing factors were determined as travel distance from origin to departing station and from arriving distance to destination, trip purpose, frequency of using light rapid transit (LRT), education level and occupation. 3 scenarios were modelled which revealed that provision of parking subsidy, medium travel distance (around 10 km) and medium travel time (around 20 mins) encouraged commuter to use PnR while travelling in group discourage the use of PnR. 

scholarly journals From attitude to satisfaction: introducing the travel mode choice cycle

2021 ◽  
pp. 1-18
Author(s):  
Jonas De Vos ◽  
Patrick A. Singleton ◽  
Tommy Gärling
Keyword(s):  
Mode Choice ◽  
Travel Mode ◽  
Travel Mode Choice

scholarly journals Exploring the impact of COVID-19 on individual's travel mode choice in China

2021 ◽  
Vol 106 ◽  
pp. 271-280
Author(s):  
Siliang Luan ◽  
Qingfang Yang ◽  
Zhongtai Jiang ◽  
Wei Wang
Keyword(s):  
Mode Choice ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
The Impact
Sign in / Sign up

Export Citation Format

Share Document