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.

Effect of Route Choice Models on Estimating Network Capacity Reliability

2000 ◽  
Vol 1733 (1) ◽  
pp. 63-70 ◽  
Author(s):  
Anthony Chen ◽  
Maya Tatineni ◽  
Der-Horng Lee ◽  
Hai Yang
Keyword(s):  
Network Performance ◽  
Choice Behavior ◽  
Choice Model ◽  
Route Choice ◽  
Network Capacity ◽  
Service Level ◽  
Choice Models ◽  
Transportation Systems ◽  
Traffic Demand ◽  
Route Choice Behavior

The issue of planning for adequate capacity in transportation systems to accommodate growing traffic demand is becoming a serious problem. Recent research has introduced "capacity reliability" as a new network performance index. Capacity reliability is defined as the probability that a network can accommodate a certain volume of traffic demand at a required service level given variable arc capacities, while accounting for drivers' route choice behavior. Previous papers on this topic provide a comprehensive methodology for assessing capacity reliability along with extensive simulation results. However, an important issue that remains is what type of route choice model should be used to model driver behavior in estimating network capacity reliability. Three different route choice models (one deterministic and two stochastic models) are compared, and the effect of using each of these models on estimating network capacity reliability is examined.

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.

Influence of Changes in Level on Passenger Route Choice in Railway Stations

2005 ◽  
Vol 1930 (1) ◽  
pp. 12-20 ◽  
Author(s):  
Winnie Daamen ◽  
Piet H. L. Bovy ◽  
Serge P. Hoogendoorn
Keyword(s):  
Choice Behavior ◽  
Choice Model ◽  
Route Choice ◽  
Choice Models ◽  
Walking Distance ◽  
Choice Data ◽  
Factors Affecting ◽  
Simulation Tools ◽  
Route Choice Behavior ◽  
Transfer Station

In assessing the design of a public transfer station, it is important to be able to predict the routes taken by passengers. Most simulation tools use simple route choice models that take into account only the shortest walking distance or walking time between a passenger's origin and destination. To improve this type of route choice model, other factors affecting passenger route choice need to be identified. Also, the way these factors influence route choice behavior needs to be determined to indicate how each factor is valued. In this research, route choice data have been collected in two Dutch train stations by following passengers through the facility from their origins to their destinations. These data have been used to estimate extended route choice models. The focus is on the influences of level changes in walking routes on passenger route choice behavior. It appears that ways of bridging level changes (ramps, stairs, escalators) each have a significant and different impact on the attractiveness of a route to a traveler.

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.

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 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.

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