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

Author(s):  
J.D. Hunt

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.

Author(s):  
J. D. Hunt ◽  
J. D. P. McMillan

A stated-preference experiment was performed in Calgary to examine the nature of various influences on the decision to carpool to work in the central business district. A total of 678 complete interviews were conducted. In each interview, the respondent was presented with five successive pairs of possible automobile use alternatives and asked to indicate which alternative was preferred in each case. This forced the respondent to trade off among conditions regarding specific attributes. Several socioeconomic characteristics of the respondent and attributes of the respondent's actual trip to work were also recorded, and the contents of the hypothetical alternatives presented were adjusted accordingly. The observations thus obtained were used to estimate the parameter values for different utility functions in logit models representing this choice of behavior. The results indicate, among other things, that the extra time spent in the automobile serving other carpool participants is valued at a premium rate of about $4.00 (Canadian) per hour (or about 45 percent) more than the automobile ride time for the direct trip; the availability of a guaranteed ride home has a value roughly equivalent to the basic transit fare in Calgary; and each additional household member in a carpool adds further benefit in a reasonably linear manner but does not alter the effect of parking costs for the respondent, whereas each additional non-household member does not add further benefit but does tend to reduce in a nonlinear manner the effect of parking costs for the respondent.


2015 ◽  
Vol 2526 (1) ◽  
pp. 108-118 ◽  
Author(s):  
Mohamed S. Mahmoud ◽  
Khandker M. Nurul Habib ◽  
Amer Shalaby

This paper presents an investigation of the mode choice behavior of cross-regional commuters in the greater Toronto and Hamilton area of Ontario, Canada. A survey of cross-regional intermodal passenger travel (called SCRIPT) was developed and conducted during the spring and the fall of 2014. SCRIPT collects data on respondents' revealed preference in daily commuting trips to pivot each respondent's mode choice stated preference experiment separately. An innovative multimodal trip planner tool was developed to generate feasible travel options for each stated preference experiment with information on household auto ownership level, proximity to transit, work start time, and total travel time from home to work, as well as predeveloped discrete choice models to identify access station locations of intermodal travel modes. The stated preference experiments were based on the D-efficient design technique. The survey used 1,203 randomly selected cross-regional commuters. The paper reports on a mode choice model estimated by the revealed preference data portion of the survey to verify the validity of the survey design, sampling procedure, and data quality. An empirical model provides insight into cross-regional commuters' mode choice behavior.


Author(s):  
Douglas W. Harwood ◽  
John M. Mason ◽  
Robert E. Brydia

The current AASHTO policy for sight distance at Stop-controlled intersections is based on a model of the acceleration performance of a minor-road vehicle turning left or right onto a major road and the deceleration performance of the following major road vehicle. An alternative intersection sight distance model based on gap acceptance is developed and quantified. Field studies that were performed to determine the critical gaps appropriate for use in sight distance design are described. It is recommended that the sight distance along the major road for a passenger car at a Stop-controlled intersection should be based on a distance equal to 7.5 s of travel time at the design speed of the major road. Longer sight distances are recommended for minor-road approaches that have sufficient truck volumes to warrant consideration of a truck as the design vehicle.


Author(s):  
Edith Weisberg ◽  
Deborah Bateson ◽  
Stephanie Knox ◽  
Marion Haas ◽  
Rosalie Viney ◽  
...  

2020 ◽  
Vol 12 (24) ◽  
pp. 10470
Author(s):  
Haiyan Zhu ◽  
Hongzhi Guan ◽  
Yan Han ◽  
Wanying Li

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.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Fei Yang ◽  
Lin Chen ◽  
Yang Cheng ◽  
Xia Luo ◽  
Bin Ran

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.


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