scholarly journals Using Hierarchical Information Integration to Model Consumer Responses to Possible Planning Actions: Recreation Destination Choice Illustration

1990 ◽  
Vol 22 (3) ◽  
pp. 291-308 ◽  
Author(s):  
J J Louviere ◽  
H J P Timmermans
Keyword(s):  
Information Integration ◽  
Destination Choice ◽  
Consumer Responses ◽  
Hierarchical Information Integration

Modeling Car Drivers’ On-Street Parking Decisions using the Integrated Hierarchical Information Integration Approach

2018 ◽  
Vol 2672 (49) ◽  
pp. 23-33 ◽  
Author(s):  
Annum Khaliq ◽  
Peter van der Waerden ◽  
Davy Janssens
Keyword(s):  
Information Integration ◽  
Urban Areas ◽  
Multinomial Logit Model ◽  
Walking Distance ◽  
Large Set ◽  
Multi Agent Systems ◽  
Street Segment ◽  
The Road ◽  
A Minor ◽  
Hierarchical Information Integration

Rising issues in urbanization and transportation urge municipalities to optimize the use of on-street parking spaces in order to meet local needs and complement the role of available off-street parking. In this paper car drivers’ parking decisions have been investigated using a stated choice experiment, based on the method of integrated hierarchical information integration. According to this approach, a large set of parking related attributes and attribute levels are grouped into two higher order decision constructs, which are presented as hypothetical street segments. The respondents were asked if they would park their car in the street segment with the listed attributes. The collected data is used to estimate the parameters of a standard multinomial logit model. This study differs from previous studies as a large range of attributes is examined, including the parking situation and the road conditions in a street segment along with some features of off-street parking facilities present in the vicinity of the street segment. The results indicate that the contextual variables such as ‘walking distance to destination’ and ‘parking cost’ are key attributes that car drivers consider while making on-street parking decisions, while street-level attributes such as ‘occupancy,’‘security,’ and ‘surrounding activities’ seem to have only a minor impact. The study concludes with an outlook of how these insights into car drivers’ parking choice process can be used by local authorities to reduce cruising in urban areas. Moreover, these findings can be integrated in multi-agent systems to investigate car drivers’ movements in urban areas.

Traveler Preference for Park-and-Ride Facilities

2005 ◽  
Vol 1926 (1) ◽  
pp. 126-134
Author(s):  
Ilona Bos ◽  
Rob Van der Heijden ◽  
Eric Molin ◽  
Harry J. P. Timmermans
Keyword(s):  
The Netherlands ◽  
Empirical Evidence ◽  
Error Bounds ◽  
Information Integration ◽  
Statistical Error ◽  
Preference Data ◽  
Park And Ride ◽  
Two Samples ◽  
Preference Functions ◽  
Hierarchical Information Integration

This paper reports the main findings of a study, conducted in the Netherlands, aimed at testing whether preference functions for park-and-ride facilities, estimated from data collected in a specific Dutch region, can be generalized to a nationwide sample. Preference data in both samples were collected with hierarchical information integration. Contrast parameters were used to test the equality of a set of parameters for decision constructs that were assumed to influence the choice of park-and-ride facilities. Results suggest that the estimated preference functions for the two samples are largely the same within conventional statistical error bounds and provide empirical evidence of generalizability. In addition to the academic importance of this finding, for practitioners it means that no tailored-made research is required to assess the feasibility of such new park-and-ride facilities, especially if the results of this study are further replicated in other contexts and regions.

scholarly journals Car Drivers’ Willingness to Pay for Design Related Attributes of Parking Garages: Hierarchical Information Integration Approach

2019 ◽  
Vol 2673 (12) ◽  
pp. 485-493
Author(s):  
Peter van der Waerden ◽  
Soufyan Agarad
Keyword(s):  
Willingness To Pay ◽  
Information Integration ◽  
Choice Experiment ◽  
Multinomial Logit Model ◽  
Walking Distance ◽  
Online Questionnaire ◽  
Final Destination ◽  
Parking Garages ◽  
Choice Tasks ◽  
Hierarchical Information Integration

This paper focuses on car drivers’ willingness to pay for design related attributes of parking garages. Car drivers’ willingness is retrieved from a stated choice experiment including three basic attributes (capacity of parking, parking tariff, and walking distance between parking and final destination) and 25 design related attributes. The design related attributes are included in the choice experiment following the principles of Hierarchical Information Integration that grouped the 25 attributes into five constructs: attributes related to the parking area, pedestrian environment, accessibility, service, and safety. Per construct, respondents were invited to choose two times between two parking facilities. The experiment was included in an online questionnaire that was completed by 315 respondents who evaluated in total 3,150 choice tasks. The respondents’ choices are evaluated using a standard multinomial logit model. The results show that the following design related attributes significantly contribute to the total utility of parking garages: the width of parking spaces, the width of road lanes, the type of pedestrians’ routes, the width of staircases, the types of elevator points, the presence of parking guidance systems, the available payment options, the presence of toilets, the level of lighting, the presence of ramps, and the level of cleanliness and maintenance. The respondents are willing to pay most for the available payment options (range €2.91) and the level of cleanliness and maintenance (range €2.69).

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