Travel Behavior: Understanding Travel Choice in Modes and Routes from GIS Data

2017 ◽  
pp. 2326-2334
Author(s):  
Hoang Nguyen ◽  
Chen Cai
Keyword(s):  
Travel Behavior ◽  
Travel Choice ◽  
Behavior Understanding ◽  
Gis Data

scholarly journals “How Come You Are Here?” Considering the Context in Research on Travel Decisions

2017 ◽  
Vol 58 (2) ◽  
pp. 333-337 ◽  
Author(s):  
Pietro Beritelli ◽  
Stephan Reinhold ◽  
Jieqing Luo
Keyword(s):  
Consumer Research ◽  
Travel Behavior ◽  
Destination Marketing ◽  
Travel Choice ◽  
Contextual Understanding ◽  
Travel Decisions ◽  
Travel Decision ◽  
Decision Research

Travel decision research still struggles to explain a large portion of the variance in travel choices. We argue that advances in this domain must originate from a shift in the kinds of questions we ask travelers to understand what triggers their decisions. The proposed shift from “Why did you . . . ?” to “How come . . . ?” changes the emphasis from retrospective sense giving to a contextual understanding of travel choice, focusing in particular on the constellations that produce actual travel behavior. This shift opens research avenues of a new theoretical and methodological nature and has fundamental implications for consumer research as well as destination marketing practices.

Social Networks, Social Interactions, and Activity-Travel Behavior: A Framework for Microsimulation

2008 ◽  
Vol 35 (6) ◽  
pp. 1012-1027 ◽  
Author(s):  
Theo Arentze ◽  
Harry Timmermans
Keyword(s):  
Social Networks ◽  
Social Interaction ◽  
Social Interactions ◽  
Travel Behavior ◽  
Information Needs ◽  
Travel Patterns ◽  
Basic Principles ◽  
Travel Choice ◽  
The Social ◽  
The One

We argue that the social networks and activity-travel patterns of people interact and coevolve over time. Through social interaction, people exchange information about activity-travel choice alternatives and adapt their latent and overt preferences for alternatives to each other. At the same time, social networks are not static: new social links emerge and existing social links may dissolve in time, depending on activity-travel schedules and the attributes of persons. In this paper we propose a theoretical framework to incorporate these dynamics in microsimulations of activity-travel patterns. A core assumption of the proposed theory is that the utility that a person derives from social interaction is a function of dynamic social and information needs, on the one hand, and of similarity between the relevant characteristics of the persons involved, on the other. Furthermore, persons tend to adapt their preferences so as to increase the utility they derive from their social networks. We derive the theory and models from basic principles and discuss results of a first round of simulations conducted to examine the behavior of the model. We argue that the model is consistent with existing theories and findings in social network analysis.

scholarly journals Modeling the Morning Commute Problem in a Bottleneck Model Based on Personal Perception

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Xiao Guo ◽  
Huijun Sun
Keyword(s):  
Travel Behavior ◽  
Travel Choice ◽  
Numerical Examples ◽  
Bottleneck Model ◽  
Model Based ◽  
Work Area ◽  
Departure Time ◽  
Departure Time Choice ◽  
Morning Commute ◽  
Living Area

This paper studies the travel behavior of travelers who drive from the living area through the highway to the work area during the morning rush hours. The bottleneck model based on personal perception travel behavior has been investigated. Based on their willingness to arrive early, travelers can be divided into two categories: active travelers and negative travelers. Three possible situations have been considered based on travelers’ personal perception. Travelers’ travel choice behaviors are analyzed in detail and equilibrium is achieved with these three situations. The numerical examples show that the departure time choice of the travelers is related not only to the proportion of each type of travelers, but also to personal perceived size.

New GNSS receivers expand the range of applications in the GIS data acquisition Neue GNSS-Empfänger erweitern das Einsatzspektrum bei der GIS-Datenerfassung

GIS Business ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 36-37
Author(s):  
Schmitt, T
Keyword(s):  
Data Acquisition ◽  
Gis Data ◽  
Gnss Receivers

New GNSS receivers expand the range of applications in the GIS data acquisition Neue GNSS-Empfänger erweitern das Einsatzspektrum bei der GIS-Datenerfassung

Printing GIS data: More than "click to print" GIS-Daten drucken: Mehr als "click to print"

GIS Business ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. 36-37
Author(s):  
Tschunkert, A
Keyword(s):  
Gis Data

Printing GIS data: More than "click to print" GIS-Daten drucken: Mehr als "click to print

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