JNTU B.Tech IV URBAN TRANSPORTATION PLANNING Previous Question Paper (July/August - 2022 - R18)

Transport surveys are essential for data collection to understand existing travel patterns, identify bottlenecks, and develop travel demand models. These surveys are generally categorized into the following types:

• Home Interview Survey (HIS): The most comprehensive survey, collecting data on household characteristics, socio-economic status, and detailed trip diaries of all members (origin, destination, mode, purpose, and time).
• Roadside Interview Survey: Conducted at screenlines or cordon lines where vehicles are stopped to interview drivers regarding their trip origin, destination, and purpose. This is effective for capturing through-traffic and inter-zonal movements.
• Public Transport Surveys: Includes on-board surveys (passenger interviews), boarding and alighting surveys at stops, and passenger counts to determine load factors, route efficiency, and service quality.
• Traffic Volume Counts: Classified counts conducted at mid-blocks or intersections to determine the volume of different vehicle types, peak hour factors, and directional distribution.
• Parking Surveys: Involves inventory of parking spaces and usage surveys (duration of stay, turnover, and accumulation) in central business districts or high-activity zones.
• Speed and Delay Studies: Utilizes moving observer methods or floating car techniques to identify congestion points, travel time variability, and causes of delay on the road network.
• Goods Movement Surveys: Focuses on the logistics sector, tracking the origin, destination, and commodity type of freight vehicles to understand commercial traffic patterns.
• Public Opinion and Attitude Surveys: Qualitative surveys used to gauge user preferences regarding new transport policies, infrastructure improvements, or willingness to pay for better services.

These surveys provide the foundational database required for the four-stage travel demand modeling process: trip generation, trip distribution, mode choice, and traffic assignment.

An inventory of land use and economic activities is a fundamental component of urban transportation planning, providing the baseline data required to model travel demand and understand the spatial distribution of trip generators and attractors. This inventory systematically documents how land is utilized and the nature of economic functions occurring within a study area.

The inventory typically includes the following key dimensions:

• Land Use Classification: Categorizing parcels into distinct types such as residential, commercial, industrial, institutional, recreational, and agricultural. This classification helps in estimating trip generation rates based on the density and intensity of development.
• Economic Activity Data: Collecting information on employment sectors, business types, and industrial output. This data is critical for identifying major employment hubs, which are primary destinations for work-related commute trips.
• Socio-economic Indicators: Gathering data on population density, household income levels, and vehicle ownership rates. These factors are primary determinants of travel behavior and mode choice.
• Spatial Distribution: Mapping these activities to understand the relationship between origin zones (residential) and destination zones (workplaces, schools, markets). This spatial data is often organized into Traffic Analysis Zones (TAZs).

The process of conducting this inventory involves secondary data collection from municipal records, zoning maps, and census reports, supplemented by primary surveys such as land use field surveys and establishment surveys. The collected data is then digitized into a Geographic Information System (GIS) to facilitate spatial analysis. By quantifying the relationship between land use patterns and economic activities, planners can forecast future travel demand, evaluate the impact of proposed developments on the transportation network, and design integrated land use-transportation strategies that promote sustainable urban growth.