Transportation Planning Quiz

The Four-Step Forecasting Model predicts future travel demand by analyzing a sequence of steps: trip generation, trip distribution, modal split, and route assignment.

Trip generation refers to the process of predicting the number of trips originating from and terminating at various zones within a transportation system.

Trip distribution predicts how trips generated from different zones are distributed to different destinations.

Modal split analyzes the proportion of trips made by different transportation modes (car, bus, train, etc.).

Route assignment assigns trips to specific routes and predicts traffic flow on each route.

Data collection in transportation planning involves gathering information on factors like traffic volume, travel patterns, and land use.

Effective measures to manage increasing travel demand include promoting public transportation, encouraging ride-sharing, walking, and cycling, implementing traffic management strategies, and promoting urban planning that reduces the need for travel.

Travel demand forecasting is essential for making informed transportation planning decisions. It helps predict future travel patterns, identify potential bottlenecks, and prioritize infrastructure improvements.

A series of mathematical equations used to understand how people choose travel methods like driving, walking, or transit.

The study of how land use and travel patterns influence each other.

The ability to predict how long it takes to travel between different locations.

Estimating future traffic volume on roads.

Looking at the performance of the road network, analyzing factors like travel speed, congestion, and distance travelled.

Understanding the reasons why people choose to travel.

The process of predicting how many trips will be made from different origins and destinations.

Strategies to manage travel demand, reducing car reliance and promoting alternatives like public transport and cycling.

The second step, this model determines how trips are distributed from origin zones to destination zones based on factors like distance, travel time, and cost.

This step involves splitting the trips allocated from each zone to different destinations among various transportation modes like buses, trains, cars, and walking, based on travel costs, convenience, and personal preferences.

The final step in the four-step model, where assigned trips are assigned to specific routes within each transportation mode based on factors like travel time, congestion, and route availability.

A comprehensive model that forecasts transportation demand and system performance by dividing the process into four sequential steps: trip generation, trip distribution, modal split, and trip assignment.

The process of gathering information about the study area, including population, economic activities, transportation network, and travel patterns.

A collection of data that reflects the current state of the transportation system, including population, employment, and facilities within each zone.

A table that summarizes the number of trips originating from each zone and ending in every other zone in the study area.

The outer boundary of a study area, marking the edge of the region under analysis.

Points outside the study area that represent interactions with the external world. They act as entry and exit points for trips.

Small, geographically defined units within a study area used for traffic analysis. Each zone represents the characteristics of a specific region.

A point representing the center of a traffic analysis zone, where all the zone's properties are concentrated.

Imaginary lines connecting zone centroids to the nearest transport facilities, assuming equal travel time for everyone in the zone.

Zones outside the study area used to model the interaction with external areas. These zones capture the influence of major transport links feeding into the study area.

A network that represents the transportation infrastructure of a study area, including various modes of transport like roads, junctions, buses, railways, and stations.

A directed graph representing the road network, consisting of road segments (links) connected at points called junctions (nodes).

Nodes in a transportation network, representing intersections. They are characterized by attributes such as node number, connected links, and type of intersection.

Attributes of transportation networks: Node number, starting nodes of connected links, type of intersection.

Information about public transport networks, including frequency of service, fares, line capacity, and station capacity.

Gathering information about transportation systems in a specific year for planning purposes.

The place where individuals reside as a family, providing crucial information about travel patterns.

Collecting data about household characteristics, individual characteristics, and travel details using questionnaires. This data allows planners to understand travel behavior better.

The process of designing questionnaires that are clear, straightforward, and minimize the burden on respondents. It ensures better response rates and data quality.

Three key sections in a traditional household survey: Household characteristics, personal characteristics, and trip details, providing a comprehensive understanding of travel behavior.

A method of data collection where a trained person visits a respondent's home and conducts an interview, filling out the questionnaire in person.

Expanding the survey data to accurately represent the entire population of the study area.

This correction addresses discrepancies between the sample's demographic characteristics (sex, age) and the actual population statistics as recorded in a census.

A correction applied to account for trips that were not reported by respondents, often due to forgetfulness or underestimation.

This refers to the situation where people are unavailable for the survey due to being away from home, possibly traveling. Corrections need to be made to account for this.

This correction addresses potential differences in the average size of households in the sample versus the actual population, which can be derived from census data.

A type of data collection where respondents receive a questionnaire and are asked to fill it out themselves and mail it back.