Traveler Destination Choice Behavior: Effects of Time of Day, Activity Duration, and Home Location

1998 ◽  
Vol 1645 (1) ◽  
pp. 76-81 ◽  
Author(s):  
Ryuichi Kitamura ◽  
Cynthia Chen ◽  
Ravi Narayanan
Keyword(s):  
Strong Evidence ◽  
Choice Behavior ◽  
Multinomial Logit ◽  
Time Of Day ◽  
Destination Choice ◽  
Duration Of Stay ◽  
Home Location ◽  
Activity Duration ◽  
Home Based ◽  
Statistical Results

Multinomial logit destination choice models are developed and the following hypotheses are examined: ( a) time of day affects destination choice behavior, ( b) the duration of stay at the destination affects destination choice, and ( c) home location affects non-home-based destination choice. The statistical results offer strong evidence in support of the hypotheses.

scholarly journals 82 The impact of feeding treats containing cannabidiol (CBD) on the daily activity level of dogs

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 60-61
Author(s):  
Elizabeth M Morris ◽  
Susanna E Kitts-Morgan ◽  
Dawn M Spangler ◽  
Kyle R McLeod ◽  
David L Harmon
Keyword(s):  
Daily Activity ◽  
Block Design ◽  
Companion Animals ◽  
Total Activity ◽  
Time Of Day ◽  
Activity Level ◽  
Activity Levels ◽  
Quiet Time ◽  
Activity Duration ◽  
The Impact

Abstract Growing public interest in and use of Cannabidiol (CBD) in companion animals has amplified the need to elucidate potential impacts. The purpose of this investigation was to determine the impact of CBD on daily activity of adult dogs. Twenty-four dogs (18.0 ± 3.4 kg) were utilized in a randomized complete block design with treatments consisting of control, 2 mg CBD/kg BW/d, and 4 mg CBD/kg BW/d split between two treats administered after twice-daily exercise (7:00-9:00 and 17:00-19:00). Four hours each day (10:00-12:00, AM and 13:30-15:30, PM), were designated as time when no persons entered the kennels, with 2 h designated as Quiet Time and the other 2 h as Music Time, where calming music played over speakers. Quiet and Music sessions were randomly allotted to daily AM or PM times. Activity monitors were fitted to dogs’ collars for continuous collection of activity parameters. Data were collected over a 2-wk baseline period to block dogs by activity level (high or low) before randomly assigning dogs within each block to treatments. After 1 wk of treatment adaptation, activity parameters were collected for 2 wk. Data were tested for normality using the UNIVARIATE procedure in SAS before examining differences using the MIXED procedure in SAS, including effects of treatment, day, session (Quiet or Music), time of day (AM or PM), and accompanying interactions. CBD did not alter total activity points (P = 0.9971) or activity duration (P = 0.8776). CBD tended (P = 0.0692) to reduce scratching compared to control. Irrespective of treatment, dogs were more active in PM than AM (P < 0.0001). Regardless of session, dogs receiving 4 mg/kg/d tended (P = 0.0914) to be less active in the PM than control. CBD did not affect activity duration during exercise periods (P = 0.1425), but dogs receiving CBD ran more than control (P = 0.0339). These results indicate that when supplemented up to 4 mg/kg/d, CBD does not negatively impact daily activity levels of dogs.

Modeling Destination Choice Behavior of the Dockless Bike Sharing Service Users

2020 ◽  
Vol 2674 (11) ◽  
pp. 875-887 ◽  
Author(s):  
Muntahith Mehadil Orvin ◽  
Mahmudur Rahman Fatmi
Keyword(s):  
Urban Areas ◽  
Choice Behavior ◽  
Investment Decision ◽  
Negative Relationship ◽  
Central Business District ◽  
Random Parameter ◽  
Destination Choice ◽  
Suburban Areas ◽  
Investment Decision Making ◽  
Bike Sharing

This study investigates trip-level destination choice behavior of users of the dockless bike sharing service (DBS). A random parameter latent segmentation-based logit (RPLSL) model is developed utilizing the DBS users’ trip itinerary data for Kelowna, Canada. The RPLSL model captures multi-dimensional heterogeneity such as inter-segment and intra-segment heterogeneity. The model is developed at a micro-spatial resolution which is defined as the bicycle analysis zone. One of the key features of this study is to test the interdependencies between the origin and destination of a trip using their built environment attributes. Model results suggest that segment 1 is more likely to include trips originating from the urban neighborhoods; whereas, segment 2 includes trips originating from the suburban neighborhoods. The parameter estimation results reveal that DBS trips are more likely to be destined to locations with longer length of cycle tracks, higher employment density, and that are closer to the Central Business District and bus stops (i.e., within 500 m). The model confirms multi-layer heterogeneity. For instance, trips originating from the urban areas in segment 1 are more likely to be destined to destinations within 500 m of the designated bike return sites (i.e., havens). In contrast, shorter trips originating in suburban areas in segment 2 show a negative relationship. Interestingly, a bike-friendly environment might increase the attractiveness of destinations closer to havens, even for the trips originating in suburban areas. The findings of this study will assist in developing policies and infrastructure investment decision making at the destination locations to promote DBS usage.

Improved Modeling of Non-Home-Based Trips

1996 ◽  
Vol 1556 (1) ◽  
pp. 22-26 ◽  
Author(s):  
Gordon W. Schultz ◽  
William G. Allen
Keyword(s):  
Detailed Analysis ◽  
Urban Areas ◽  
Mode Choice ◽  
Time Of Day ◽  
Place Of Residence ◽  
Trip Length ◽  
Trip Purpose ◽  
Trip Chaining ◽  
Home Based ◽  
A Chain

Non-home-based (NHB) trip making typically accounts for about 25 to 30 percent of travel by individuals in urban areas. However, the NHB trip purpose is usually treated as a large unknown category, and little attention is paid to the nature of these trips. An effort to better understand the characteristics of NHB trips by subdividing the NHB trip category is described. It is hoped that this effort will serve as a useful precursor to improving the analysis of trip chaining behavior. By definition, NHB trips are almost always part of a chain of trips that usually starts or ends at the trip maker's place of residence or work. By examining this chain more closely, it is possible to group NHB trips into two or three categories. More detailed analysis of these categories reveals that they have very different trip length, mode choice, and time of day characteristics. Making this subdivision improves the accuracy of the model, increases the sensitivity of the forecast to important factors, and provides a greater understanding of trip chaining behavior.

scholarly journals La théorie de Heckscher-Ohlin et la localisation des industries manufacturières canadiennes : présentation de quelques résultats empiriques

2009 ◽  
Vol 56 (1) ◽  
pp. 80-96
Author(s):  
Michel Boucher
Keyword(s):  
Comparative Advantage ◽  
Strong Evidence ◽  
Manufacturing Industries ◽  
Standard Industrial Classification ◽  
Production Technique ◽  
Factor Endowments ◽  
Intensive Production ◽  
Capital Intensive ◽  
Relative Factor ◽  
Statistical Results

Abstract This paper applies the Heckscher-Ohlin hypothesis to the location of regional manufacturing industries in Canada. The empirical results demonstrate with strong evidence the first hypothesis that Quebec and Ontario enjoy different locational characteristics because of their relative factor endowments. More precisely, firms operating in Quebec adopt labor-intensive production process relatively to those located in Ontario which choose a capital-intensive production technique. The statistical results of the second hypothesis confirm sufficiently that both provinces increased their specialization in industries when they have a relative increasing comparative advantage respectively labor-intensive industries for Quebec and capital-intensive industries for Ontario. Finally, those hypotheses are confirmed not only for the twenty two-digit manufacturing industries of the Standard Industrial Classification (SIC), but also for thirty-one three-digit manufacturing industries.

scholarly journals Agent-Based Simulation to Improve Policy Sensitivity of Trip-Based Models

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Rolf Moeckel ◽  
Nico Kuehnel ◽  
Carlos Llorca ◽  
Ana Tsui Moreno ◽  
Hema Rayaprolu
Keyword(s):  
Travel Demand ◽  
Time Budget ◽  
Time Of Day ◽  
Destination Choice ◽  
Trip Generation ◽  
Demand Model ◽  
Agent Based ◽  
Travel Mode Choice ◽  
Travel Time Budget ◽  
Aggregate Nature

The most common travel demand model type is the trip-based model, despite major shortcomings due to its aggregate nature. Activity-based models overcome many of the limitations of the trip-based model, but implementing and calibrating an activity-based model is labor-intensive and running an activity-based model often takes long runtimes. This paper proposes a hybrid called MITO (Microsimulation Transport Orchestrator) that overcomes some of the limitations of trip-based models, yet is easier to implement than an activity-based model. MITO uses microsimulation to simulate each household and person individually. After trip generation, the travel time budget in minutes is calculated for every household. This budget influences destination choice; i.e., people who spent a lot of time commuting are less likely to do much other travel, while people who telecommute might compensate by additional discretionary travel. Mode choice uses a nested logit model, and time-of-day choice schedules trips in 1-minute intervals. Three case studies demonstrate how individuals may be traced through the entire model system from trip generation to the assignment.

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.

Travel Demand Modeling and Conformity Determination: Atlanta Regional Commission Case Study

2002 ◽  
Vol 1817 (1) ◽  
pp. 172-176 ◽  
Author(s):  
Guy Rousseau ◽  
Tracy Clymer
Keyword(s):  
Land Use ◽  
Travel Demand ◽  
Mode Choice ◽  
Time Of Day ◽  
Traffic Model ◽  
Demand Model ◽  
Primary Input ◽  
Land Use Model ◽  
Home Based ◽  
Travel Demand Model

The Atlanta Regional Commission (ARC) regional travel demand model is described as it relates to its link-based emissions postprocessor. In addition to conformity determination, an overview of other elements is given. The transit networks include the walk and highway access links. Trip generation addresses trip production, trip attraction, reconciliation of productions and attractions, and special adjustments made for Hartsfield Atlanta International Airport. Trip distribution includes the application of the composite impedance variable. In the mode choice model, home-based work uses a logit function, whereas nonwork uses information from the home-based work to estimate modal shares. Traffic assignment includes preparation of time-of-day assignments. The model assigns single-occupancy vehicles, high-occupancy vehicles, and trucks by using separate trip tables. The procedures can accept or prohibit each of the three types of vehicles from each highway lane. Feedback between the land use model and the traffic model is accounted for via composite impedances generated by the traffic model and is a primary input to the land use model DRAM/EMPAL. The land use model is based on census tract geography, whereas the travel demand model is based on traffic analysis zones that are subareas within census tracts. The ARC model has extended the state of the practice by using the log sum variable from mode choice as the impedance measure rather than the standard highway time. This change means that the model is sensitive not only to highway travel time but also to highway and transit costs.

scholarly journals Older Adults’ Choice of Patterns of Outdoor Physical Activity Duration: A Mixed Multinomial Logit Model

2021 ◽  
Vol 18 (15) ◽  
pp. 8199
Author(s):  
Zhengying Liu ◽  
Wenli Huang ◽  
Yuan Lu ◽  
You Peng
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Exercise Duration ◽  
Multinomial Logit ◽  
Activity Levels ◽  
Activity Duration ◽  
Mixed Multinomial Logit Model ◽  
Physical Activity Duration

Outdoor physical activity duration is a key component of outdoor physical activity behavior of older adults, and therefore, an important determinant of their total physical activity levels. In order to develop a successful outdoor physical activity program, it is important to identify any heterogeneity in preferences for outdoor physical activity duration patterns among older adults. In addition, more insight is needed in the influence of environmental characteristics on duration choice for creating supportive neighborhood environments matching individuals’ preferences. To this end, a mixed multinomial logit model is estimated based on one-week data collected among 336 respondents aged 60 or over in 2017 in Dalian, China. The present model formulation accounts for heterogeneity in individuals’ preferences and allows for the analysis of substitution and complementary relationships between the different patterns of outdoor physical activity duration. Results indicate that older adults vary significantly in their preferences for each outdoor physical activity duration pattern. Moreover, short walking duration, short exercise duration and medium exercise duration are substitutes for medium walking duration while short walking duration and short exercise duration are complements for medium exercise duration in terms of individuals’ outdoor physical activity duration preferences. In addition, we find that distance to the nearest park, footpath conditions and neighborhood aesthetics are associated with older adults’ outdoor physical activity duration choice.

Sign in / Sign up

Export Citation Format

Share Document