Intrahousehold Interaction in Transit-Oriented Residential Choice Behavior Represented in Stated Preference Approach

2009 ◽  
Vol 2134 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Junyi Zhang ◽  
Akimasa Fujiwara
Keyword(s):  
Choice Behavior ◽  
Stated Preference ◽  
Residential Choice ◽  
In Transit

scholarly journals Can Road Toll Convince Car Travelers to Adjust Their Departure Times? Accounting for the Effect of Choice Behavior under Long and Short Holidays

2020 ◽  
Vol 12 (24) ◽  
pp. 10470
Author(s):  
Haiyan Zhu ◽  
Hongzhi Guan ◽  
Yan Han ◽  
Wanying Li
Keyword(s):  
Traffic Congestion ◽  
Choice Behavior ◽  
Road Traffic ◽  
Stated Preference ◽  
Revealed Preference ◽  
The Road ◽  
Departure Time ◽  
Departure Time Choice ◽  
Mnl Model ◽  
Peak Travel

The adjustment of road toll is an important measure that can alleviate road traffic congestion by convincing car travelers to travel during off-peak times. In order to reduce congestion on the expressway on the first day of a holiday, factors that affect the departure times of holiday travelers must be comprehensively understood to determine the best strategy to persuade car travelers to avoid peak travel times. This paper takes holiday car travelers as the research object and explores the characteristics and rules of departure time choice behavior for different holiday lengths. Based on Utility Maximization Theory, a multinomial logit (MNL) model of departure time choice for a three-day short holiday and a seven-day long holiday was established. Model calibration and elastic analysis were carried out using Revealed Preference/Stated Preference (RP/SP) survey data. Additionally, the influence of the highway toll policy on departure times for long and short holidays was analyzed. The results show that the rate of first-day departures is much higher than that of other departure times for both short and long vacations under the current policy of free holiday passage on highways. Factors such as trip duration, size of the tourist group, the number of visits, travel range, travel time, monthly income, occupation, age and road toll have a significant influence on the departure time decisions of holiday car travelers, and the effect and degree of influence are markedly different for different holiday lengths. The effects of tolls for each departure time and different pricing scenarios on the choice behavior of travelers are different between long and short holidays. Furthermore, the effectiveness of the road toll policy also varies for travelers with different travel distances. This study can provide useful information for the guidance of holiday travelers, the management of holiday tolls on expressways and the formulation of holiday leave time.

scholarly journals An Empirical Study of Parameter Estimation for Stated Preference Experimental Design

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Fei Yang ◽  
Lin Chen ◽  
Yang Cheng ◽  
Xia Luo ◽  
Bin Ran
Keyword(s):  
Experimental Design ◽  
Choice Behavior ◽  
Arrival Time ◽  
Choice Model ◽  
Stated Preference ◽  
Orthogonal Design ◽  
Parameters Estimation ◽  
Efficient Design ◽  
Travel Choice ◽  
Better Than

The stated preference experimental design can affect the reliability of the parameters estimation in discrete choice model. Some scholars have proposed some new experimental designs, such as D-efficient, Bayesian D-efficient. But insufficient empirical research has been conducted on the effectiveness of these new designs and there has been little comparative analysis of the new designs against the traditional designs. In this paper, a new metro connecting Chengdu and its satellite cities is taken as the research subject to demonstrate the validity of the D-efficient and Bayesian D-efficient design. Comparisons between these new designs and orthogonal design were made by the fit of model and standard deviation of parameters estimation; then the best model result is obtained to analyze the travel choice behavior. The results indicate that Bayesian D-efficient design works better than D-efficient design. Some of the variables can affect significantly the choice behavior of people, including the waiting time and arrival time. The D-efficient and Bayesian D-efficient design for MNL can acquire reliability result in ML model, but the ML model cannot develop the theory advantages of these two designs. Finally, the metro can handle over 40% passengers flow if the metro will be operated in the future.

Stated-Preference Examination of Location Choice Behavior of Small Retail Firms

1997 ◽  
Vol 1606 (1) ◽  
pp. 25-32 ◽  
Author(s):  
J.D. Hunt
Keyword(s):  
Choice Behavior ◽  
Stated Preference ◽  
Location Decisions ◽  
Driving Time ◽  
Minor Road ◽  
A Minor ◽  
Electrical Substation ◽  
Or Manager ◽  
Parameter Values ◽  
Preference Experiment

A stated-preference experiment was performed in Calgary, Alberta, Canada, to examine the nature of various influences on location decisions by various categories of small independent retail firms. A total of 287 completed observations were obtained. In each observation the respondent shop owner or manager was presented with a set of possible shop locations and asked to indicate the order of preference for those locations. These observations were used to estimate the parameter values for a range of alternative utility functions in logit models representing this choice behavior. The results indicate that all the included attributes have significant effects except for the driving time to the nearest electrical substation, which was included as an irrelevant variable to see if the method would indicate it was irrelevant. The results also indicate that the addition of one more competitor nearby is as onerous as an increase in rent of C$127 per month; a switch from a separate location on a minor road to a separate location on a major road is as desirable as a decrease in rent of C$388 per month; a switch from a separate location on a minor road to a mall is as desirable as a decrease in rent of C$665 per month; and an increase in parking charge of C$1 per hour for customers is as onerous as an increase in rent of almost C$200 per month. Some results are novel and others are broadly consistent with findings in other research, which is seen to add credence to the approach used.

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.

scholarly journals Heterogenous Trip Distance-Based Route Choice Behavior Analysis Using Real-World Large-Scale Taxi Trajectory Data

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yajuan Deng ◽  
Meiye Li ◽  
Qing Tang ◽  
Renjie He ◽  
Xianbiao Hu
Keyword(s):  
Behavior Analysis ◽  
Choice Behavior ◽  
Stated Preference ◽  
Route Choice ◽  
Small Scale ◽  
Trajectory Data ◽  
Underlying Assumption ◽  
Route Choice Behavior ◽  
Mnl Model ◽  
Taxi Trajectory

Most early research on route choice behavior analysis relied on the data collected from the stated preference survey or through small-scale experiments. This manuscript focused on the understanding of commuters’ route choice behavior based on the massive amount of trajectory data collected from occupied taxicabs. The underlying assumption was that travel behavior of occupied taxi drivers can be considered as no different than the well-experienced commuters. To this end, the DBSCAN algorithm and Akaike information criterion (AIC) were first used to classify trips into different categories based on the trip length. Next, a total of 9 explanatory variables were defined to describe the route choice behavior, and and the path size (PS) logit model was then built, which avoided the invalid assumption of independence of irrelevant alternatives (IIA) in the commonly seen multinomial logit (MNL) model. The taxi trajectory data from over 11,000 taxicabs in Xi’an, China, with 40 million trajectory records each day were used in the case study. The results confirmed that commuters’ route choice behavior are heterogenous for trips with varying distances and that considering such heterogeneity in the modeling process would better explain commuters’ route choice behaviors, when compared with the traditional MNL model.

scholarly journals ANALYSIS OF RESIDENTIAL CHOICE BEHAVIOR BASED ON CLASSIFICATION OF RESIDENTIAL PREFERENCE

2011 ◽  
Vol 67 (6) ◽  
pp. II_1-II_10 ◽  
Author(s):  
Yusuke NISHIYAMA ◽  
Jun NAKATANI ◽  
Kiyo KURISU ◽  
Toshiya ARAMAKI ◽  
Keisuke HANAKI
Keyword(s):  
Choice Behavior ◽  
Residential Choice ◽  
Residential Preference ◽  
Behavior Based
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