Publication

Development of prototype UrbanSim models

Abstract

UrbanSim is an integrated transportation land-use model that has been under development since the late 1990s. It has received a significant amount of attention in the integrated modeling community. It is well known for its disaggregated approach. A number of papers describing the application of UrbanSim have appeared in the formal and gray literatures. Some of these papers report on successful applications of UrbanSim with little description of the amount of effort required to develop an operational model. Those that do report on the effort and challenges of using UrbanSim suggest that substantial data and human resources are required. One recent report quantifies the human resource requirements as an interdisciplinary team of four for three years. This reputation makes many potential users think twice before developing an UrbanSim model. We believe the best way to evaluate UrbanSim for a new region is by having a sense of how it can be used, and how much effort is required to do so. Understanding UrbanSim, however, does not require having a fully operational model. This paper is aimed at researchers and institutions that would like to evaluate UrbanSim, but are concerned about the effort required to do so. Based on two applications (Brussels in Belgium and Lausanne in Switzerland), it describes a procedure to develop a prototype UrbanSim model and how to use it to evaluate UrbanSim for application to a new region. Its objective is to motivate, describe, comment and illustrate a procedure for an efficient evaluation of the use of UrbanSim. Its main contributions are threefold. First, it develops a procedure by which a prototype UrbanSim model can be developed for evaluation purposes in a new region. Second, it provides an analysis of the effort required to do so. Finally, in so doing it advances knowledge in the field of transportation and land-use modeling by helping modelers to evaluate the use of UrbanSim for a particular study region, in a rigorous and systematic way.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related concepts (36)
Developing country
A developing country is a sovereign state with a less developed industrial base and a lower Human Development Index (HDI) relative to other countries. However, this definition is not universally agreed upon. There is also no clear agreement on which countries fit this category. The terms low and middle-income country (LMIC) and newly emerging economy (NEE) are often used interchangeably but refers only to the economy of the countries.
Least developed countries
The least developed countries (LDCs) are developing countries listed by the United Nations that exhibit the lowest indicators of socioeconomic development. The concept of LDCs originated in the late 1960s and the first group of LDCs was listed by the UN in its resolution 2768 (XXVI) on 18 November 1971. A country is classified among the Least Developed Countries if it meets three criteria: Poverty – adjustable criterion based on Gross national income (GNI) per capita averaged over three years.
Small Island Developing States
Small Island Developing States (SIDS) are a group of developing countries that are small island countries and tend to share similar sustainable development challenges. These include small but growing populations, limited resources, remoteness, susceptibility to natural disasters, vulnerability to external shocks, excessive dependence on international trade, and fragile environments.
Show more
Related publications (79)

A Bebras Computational Thinking (ABC-Thinking) program for primary school: Evaluation using the competent computational thinking test

Laila Abdelsalam El-Hamamsy

Bebras tasks are considered to develop Computational Thinking (CT) and are currently used for this purpose in many studies. However, the relationship between Bebras tasks and CT is recent and, given the scarcity of validated instruments for assessing CT th ...
New York2024

Wellbeing and sufficiency in SWICE

Sascha Nick

SWICE (Sustainable Wellbeing for the Individual and the Collectivity in the Energy transition) aims to answer: how to improve wellbeing for all with a much lower energy use? Wellbeing is a state of thriving, which involves full participation in society, a ...
2023

Roadmap on Machine learning in electronic structure

Michele Ceriotti, Jigyasa Nigam, Andrea Grisafi, Max David Veit

In recent years, we have been witnessing a paradigm shift in computational materials science. In fact, traditional methods, mostly developed in the second half of the XXth century, are being complemented, extended, and sometimes even completely replaced by ...
IOP Publishing Ltd2022
Show more
Related MOOCs (32)
Plasma Physics: Introduction
Learn the basics of plasma, one of the fundamental states of matter, and the different types of models used to describe it, including fluid and kinetic.
Plasma Physics: Introduction
Learn the basics of plasma, one of the fundamental states of matter, and the different types of models used to describe it, including fluid and kinetic.
Plasma Physics: Applications
Learn about plasma applications from nuclear fusion powering the sun, to making integrated circuits, to generating electricity.
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.