Destination Choice Model for Commercial Vehicle Movements in Metropolitan Area

2013 ◽  
Vol 2344 (1) ◽  
pp. 126-134 ◽  
Author(s):  
Bing Mei
Keyword(s):  
Metropolitan Area ◽  
Commercial Vehicle ◽  
Choice Model ◽  
Destination Choice

Do Agritourism Visitors Care about Landscapes? An Examination with Producer-Level Data

2017 ◽  
Vol 57 (3) ◽  
pp. 360-369 ◽  
Author(s):  
Richard T. Melstrom ◽  
Cassandra Murphy
Keyword(s):  
Choice Model ◽  
Destination Choice ◽  
Random Utility ◽  
Utility Model ◽  
Cross Section Data ◽  
Section Data ◽  
Conditional Logit ◽  
Level Data ◽  
Tourist Demand ◽  
Landscape Attributes

This article develops a random utility model of tourist demand for agritourism destinations. Prior research has largely focused on modeling the effect of visitor characteristics and demographics on the demand for agritourism. In contrast, we analyze cross-section data on producer-reported visits to measure the effects of destination attributes. This allows us to examine whether tourists choose destinations based on landscape attributes. The destination choice model is applied to agritourism demand in Oklahoma. We calculate elasticities from both conditional logit and Poisson interpretations of the model. The results provide no evidence that landscapes affect the demand for single-day sites, but do suggest local land use plays a role in the demand for overnight destinations.

scholarly journals The Potential Impacts of Urban and Transit Planning Scenarios for 2031 on Car Use and Active Transportation in a Metropolitan Area

2020 ◽  
Vol 17 (14) ◽  
pp. 5061
Author(s):  
Patrick Morency ◽  
Céline Plante ◽  
Anne-Sophie Dubé ◽  
Sophie Goudreau ◽  
Catherine Morency ◽  
...  
Keyword(s):  
Strategic Planning ◽  
Metropolitan Area ◽  
Travel Behavior ◽  
Large Scale ◽  
Choice Model ◽  
Central Zone ◽  
Active Transportation ◽  
Transit Oriented Development ◽  
Transit Planning ◽  
Car Use

Land use and transportation scenarios can help evaluate the potential impacts of urban compact or transit-oriented development (TOD). Future scenarios have been based on hypothetical developments or strategic planning but both have rarely been compared. We developed scenarios for an entire metropolitan area (Montreal, Canada) based on current strategic planning documents and contrasted their potential impacts on car use and active transportation with those of hypothetical scenarios. We collected and analyzed available urban planning documents and obtained key stakeholders’ appreciation of transportation projects on their likelihood of implementation. We allocated 2006–2031 population growth according to recent trends (Business As Usual, BAU) or alternative scenarios (current planning; all in TOD areas; all in central zone). A large-scale and representative Origin-Destination Household Travel Survey was used to measure travel behavior. To estimate distances travelled by mode, in 2031, we used a mode choice model and a simpler method based on the 2008 modal share across population strata. Compared to the BAU, the scenario that allocated all the new population in already dense areas and that also included numerous public transit projects (unlikely to be implemented in 2031), was associated with greatest impacts. Nonetheless such major changes had relatively minor impacts, inducing at most a 15% reduction in distances travel by car and a 28% increase in distances walked, compared to a BAU. Strategies that directly target the reduction of car use, not considered in the scenarios assessed, may be necessary to induce substantial changes in a metropolitan area.

scholarly journals A Stated Choice Model of Sequential Mode and Destination Choice Behaviour for Shopping Trips

1996 ◽  
Vol 28 (1) ◽  
pp. 173-184 ◽  
Author(s):  
H J P Timmermans
Keyword(s):  
Choice Model ◽  
Stated Preference ◽  
Destination Choice ◽  
Sequential Choice ◽  
Design Strategies ◽  
Choice Behaviour ◽  
Research Findings ◽  
Shopping Trips ◽  
Sequential Mode ◽  
Complex Forms

Stated preference and choice models currently used in urban planning are focused on predicting single choices. In this paper the intention is to extend these modelling approaches to the case of sequential choice behaviour. Design strategies and model specifications that allow one to predict sequential choice are discussed. The approach is illustrated in a study of sequential mode and destination choice behaviour for shopping trips. The research findings suggest that the proposed approach may be a valuable extension of currently available stated preference and choice methods to analyse more complex forms of decisionmaking.

scholarly journals Does Climate Change Influence Guest Loyalty at Alpine Winter Destinations?

2019 ◽  
Vol 11 (15) ◽  
pp. 4233 ◽  
Author(s):  
Bausch ◽  
Humpe ◽  
Gössling
Keyword(s):  
Climate Change ◽  
Natural Environment ◽  
Choice Model ◽  
Destination Choice ◽  
Dynamic Feedback ◽  
Adaptation Measures ◽  
Protection Measures ◽  
Winter Tourism ◽  
The Impact ◽  
Guest Loyalty

: Research has dealt extensively with different aspects of climate change and winter tourism such as the impact on ski resorts and ski lift operators, adaptation strategies, governance at destinations and reactions of winter sports guests to changing snow conditions. This paper goes deeper into the question of destination choice and examines the role of climate change among the many factors affecting guest loyalty at Alpine winter destinations. The study uses an established destination choice model with choice sets, destination image and dynamic feedback loop. A qualitative online forum identifies factors influencing winter destination choice, followed by a quantitative survey which compares Alpine winter holidaymakers categorised as “loyal”, “disloyal” and “undecided”. The results demonstrate that climate change clearly influences destination choice, but snow sports are not the only affected attractors. Enjoyment of the natural environment and value for money are just as high on the list of guest motivators. This indicates that climate change adaptation measures such as snowmaking can be counterproductive to guest loyalty because they spoil the natural scenery and raise prices. The paper concludes with a recommendation for winter destinations to prioritize conservation of the natural environment and integrate more environmental protection measures into their management strategies.

Modeling of Bicycle Route and Destination Choice Behavior for Bicycle Road Network Plan

2000 ◽  
Vol 1705 (1) ◽  
pp. 70-76 ◽  
Author(s):  
Tetsuro Hyodo ◽  
Norikazu Suzuki ◽  
Katsumi Takahashi
Keyword(s):  
Road Network ◽  
Choice Behavior ◽  
Planning Process ◽  
Choice Model ◽  
Route Choice ◽  
Single Mode ◽  
Destination Choice ◽  
Route Choice Behavior ◽  
Road Width ◽  
The Relationship

A new modeling method that describes bicycle route or destination choice behavior is presented. Although there are numerous bicycle users in Japan, the urban transportation planning process often treats bicycles and pedestrians as a single mode. Therefore, a methodology by which to evaluate and analyze bicycle demand needs to be developed. A bicycle route choice model that describes the relationship between route choice behavior and facility characteristics (e.g., road width or sidewalk) has been proposed. This model can be applied to the planning of bicycle road networks. The data from a bicycle trip survey conducted in Japan are used to study the characteristics of the model. The model is applied to study access railway station choice (destination choice). The model can produce a better fit than can a conventional model.

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