Studying Land Use Travel Demand Interaction Using 3S Technology for Tiruchirappalli City
- PDF / 3,336,409 Bytes
- 10 Pages / 595.276 x 790.866 pts Page_size
- 86 Downloads / 168 Views
RESEARCH ARTICLE
Studying Land Use Travel Demand Interaction Using 3S Technology for Tiruchirappalli City Nisha Radhakrishnan1 • R. Aswathy1 • Samson Mathew1
Received: 2 February 2016 / Accepted: 9 August 2016 Ó Indian Society of Remote Sensing 2016
Abstract This paper gives an overview of a major application of modern geospatial tools such as remote sensing, GIS and GPS, i.e., 3S technology in estimating travel demand along Indian roads by considering the study area, Tiruchirappalli urban city in Tamil Nadu. In the study, an attempt was made to estimate travel demand based on the current land-use classification as the pattern of travel depends on the type of land use activity in a zone. IRS high resolution image Cartosat-1 of year 2009 was used to extract the land-use information required. The travel demand model developed was validated with the field obtained OD-matrix to understand the accuracy of the method considered. Keywords 3S Land use Trip generation Trip attraction O–D matrix Travel demand Link volume Validation
Introduction Urbanization is one of the major challenges for urban and transportation planners. The high rate of urban population growth is a cause of concern among India’s urban and town planners for efficient urban planning. Travel is an activity that has become part of our daily life and the demand for it always creates problems, especially in urban areas, such as congestion, delay, air pollution, noise and environment. In
Nisha Radhakrishnan: ISRS Membership No. L-3606. & Nisha Radhakrishnan [email protected]; [email protected] 1
Department of Civil Engineering, NIT Tiruchirappalli, Trichy, Tamil Nadu 620015, India
order to alleviate these problems, it is necessary to understand the underlying travel pattern by estimating accurate Origin–Destination (O–D) matrices and thus it forms the cornerstone of transportation planning. Estimating O–D matrices has been the focal point of research for a long time and the history of travel demand modeling has always been dominated by the four-step model. The four steps of the classical urban transportation planning system model are trip generation, trip distribution, mode choice and traffic assignment. Trip generation determines the frequency of origins or destinations of trips in each zone by trip purpose, as a function of land uses and household demographics, and other socio-economic factors. Trip distribution matches origins with destinations, often using a gravity model function, equivalent to an entropy maximizing model. Mode choice computes the proportion of trips between each origin and destination that use a particular transportation mode. Route assignment allocates trips between an origin and destination by a particular mode to a route. Often for highway route assignment, Wardrop’s principle of user equilibrium is applied, wherein each driver (or group) chooses the shortest (travel time) path, subject to every other driver doing the same. The difficulty is that travel times are a function of demand, while demand is a f
Data Loading...
