scholarly journals Analysis of Built Environment Influence on Pedestrian route choice behavior in Dutch Design Week using GPS Data

2020 ◽  
Vol 5 ◽  
Author(s):  
Yanan Liu ◽  
Dujuan Yang ◽  
Bauke De Vries ◽  
Harry J.P. Timmermans
Keyword(s):  
Built Environment ◽  
Logit Model ◽  
Choice Behavior ◽  
Route Choice ◽  
Multinomial Logit Model ◽  
Gps Tracking ◽  
Route Choice Behavior ◽  
Alternative Routes ◽  
Modeling Behavior ◽  
The City

Visitors not only have specific destinations targeting the Dutch Design Week (DDW) exhibitions distributed all over the city, but also visit the city in between exhibition activities. The mixed environment makes modeling behavior of DDW visitors more complex than shoppers and tourisms only. This research pays special attention to the influence of built environment on pedestrian route choice. The built environment includes building and transportation infrastructure. GPS tracking data and social demographic information were collected during the event. Multinomial logit model and path size logit model are used to analysis route choice behavior. The results show that some built environment factors have significant influence on route choice. Shops are more attractive for aged visitors. Females prefer shorter routes more. In big event, the alternative routes with more sharing links could increase the possibility to choose.

scholarly journals Simulating the effects of redesigned street-scale built environments on access/egress pedestrian flows to metro stations

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Yanan Liu ◽  
Dujuan Yang ◽  
Harry J. P. Timmermans ◽  
Bauke de Vries
Keyword(s):  
Built Environment ◽  
Route Choice ◽  
Local Area ◽  
Destination Choice ◽  
Built Environments ◽  
Renewal Processes ◽  
City Center ◽  
Metro Station ◽  
Route Choice Behavior ◽  
The City

AbstractIn urban renewal processes, metro line systems are widely used to accommodate the massive traffic needs and stimulate the redevelopment of the local area. The route choice of pedestrians, emanating from or going to the metro stations, is influenced by the street-scale built environment. Many renewal processes involve the improvement of the street-level built environment and thus influence pedestrian flows. To assess the effects of urban design on pedestrian flows, this article presents the results of a simulation model of pedestrian route choice behavior around Yingkoudao metro station in the city center of Tianjin, China. Simulated pedestrian flows based on 4 scenarios of changes in street-scale built environment characteristics are compared. Results indicate that the main streets are disproportionally more affected than smaller streets. The promotion of an intensified land use mix does not lead to a high increase in the number of pedestrians who choose the involved route when traveling from/to the metro station, assuming fixed destination choice.

Effect Evaluation and Modeling of Variable Message Signs on Route Choice Behavior

2014 ◽  
Vol 587-589 ◽  
pp. 2003-2006
Author(s):  
Xi Jun Ou Yang ◽  
Xi Zhang ◽  
Hang Wang
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Peak Period ◽  
Variable Message Signs ◽  
Personal Property ◽  
Route Choice Behavior ◽  
Accident Conditions ◽  
Message Signs

Based on SP survey, this study researched on the driver's personal property, travel attribute and VMS (Variable Message Signs) attribute. On this basis, combining with the traffic survey data, the multinomial Logit models were used to reflect the route choice behavior. The data were analyzed by Matlab software, then to compare the effect of VMS under different traffic conditions, and proved the rationality of the model. The results of SP survey show that the main factors that affect drivers' route choice are familiarity of road network, accuracy of VMS and attention to VMS. The calculations of Multinomial Logit model demonstrate that the effect of VMS is more obvious during peak period, and it’s more effective under traffic accident conditions. Combining qualitative and quantitative analysis, it provides suggestions for the widely application of the VMS in Changsha city.

scholarly journals Empirical Study of Effect of Dynamic Travel Time Information on Driver Route Choice Behavior

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3257 ◽  
Author(s):  
Jinghui Wang ◽  
Hesham Rakha
Keyword(s):  
Travel Time ◽  
Choice Behavior ◽  
Route Choice ◽  
Time Variability ◽  
Route Choice Behavior ◽  
Increase Risk ◽  
The Difference ◽  
Alternative Routes ◽  
Time Information ◽  
Travel Time Variability

The objective of this paper is to study the effect of travel time information on day-to-day driver route choice behavior. A real-world experimental study is designed to have participants repeatedly choose between two alternative routes for five origin-destination pairs over multiple days after providing them with dynamically updated travel time information (average travel time and travel time variability). The results demonstrate that historical travel time information enhances behavioral rationality by 10% on average and reduces inertial tendencies to increase risk seeking in the gain domain. Furthermore, expected travel time information is demonstrated to be more effective than travel time variability information in enhancing rational behavior when drivers have limited experiences. After drivers gain sufficient knowledge of routes, however, the difference in behavior associated with the two information types becomes insignificant. The results also demonstrate that, when drivers lack experience, the faster less reliable route is more attractive than the slower more reliable route. However, with cumulative experiences, drivers become more willing to take the more reliable route given that they are reluctant to become risk seekers once experience is gained. Furthermore, the effect of information on driver behavior differs significantly by participant and trip, which is, to a large extent, dependent on personal traits and trip characteristics.

Mechanism Research of Bus Dynamic Information Impact on the Commuter Travel Behavior

2015 ◽  
Vol 743 ◽  
pp. 660-666
Author(s):  
E.H. Liu ◽  
S. Tian ◽  
Q. Chen
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Logit Model ◽  
Choice Behavior ◽  
Personal Information ◽  
Route Choice ◽  
Dynamic Information ◽  
Binary Logit Model ◽  
Route Choice Behavior ◽  
Binary Logit

In this paper, according to the characteristics of the bus travel decision-making, the traffic behavior selection data in Nanjing were collected by designing traffic wishes questionnaires and a binary logit model was built on dynamic information service under the bus commuters travel route choice behavior of binary logit model. This paper analyses the effect by using the model parameter calibration including bus-taking time, bus congestion and personal information e.g. age and gender on the bus commuters travel route choice behavior. Studies have shown that public transport information are closely related to travel routes and travel activities, and bus commuters will make adjustments on travel route after obtaining travel information. Public transportation information can change the passengers’ state of participating in transportation and improve the level of the public transport system service in some ways.

Cycling in Toronto, Ontario, Canada: Route Choice Behavior and Implications for Infrastructure Planning

2017 ◽  
Vol 2662 (1) ◽  
pp. 41-49 ◽  
Author(s):  
Siyuan Li ◽  
Matthew Muresan ◽  
Liping Fu
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Network Planning ◽  
Smartphone Application ◽  
Multinomial Logit ◽  
Choice Models ◽  
Critical Importance ◽  
Route Choice Behavior ◽  
The City ◽  
Voluntary Basis

This research investigated the route choice behavior of cyclists in Toronto, Ontario, Canada, with data collected from a smartphone application deployed to many cyclists in the city. For the study, 4,556 cyclists registered and logged more than 30,000 commuting trips over 9 months. In addition to the time-stamped, second-by-second GPS readings on each trip, information on age, gender, and rider history was collected on a voluntary basis. Multinomial logit route choice models were estimated for the commuting cycling trips. The results revealed the critical importance of cycling facilities (e.g., bike lanes, cycling paths and trails) on cyclists’ route choice decisions, and provided valuable information for use in Toronto’s ongoing bicycle network planning.

AN ANALYSIS OF TRUCKS' ROUTE CHOICE BEHAVIOR CONSIDERING VEHICLE TYPE AND TRIP LENGTH

2018 ◽  
Vol 74 (5) ◽  
pp. I_657-I_666
Author(s):  
Hideki OKA ◽  
Makoto CHIKARAISHI ◽  
Jun TANABE ◽  
Daisuke FUKUDA ◽  
Takashi OGUCHI
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Trip Length ◽  
Vehicle Type ◽  
Route Choice Behavior

scholarly journals Design of an artificial simulator for analyzing route choice behavior in the presence of information system

1995 ◽  
Vol 22 (4-7) ◽  
pp. 119-147 ◽  
Author(s):  
P.D.V.G. Reddy ◽  
H. Yang ◽  
K.M. Vaughn ◽  
M.A. Abdel-Aty ◽  
R. Kitamura ◽  
...  
Keyword(s):  
Information System ◽  
Choice Behavior ◽  
Route Choice ◽  
Route Choice Behavior
Sign in / Sign up

Export Citation Format

Share Document