scholarly journals Is generalised cost justified in travel demand analysis?

2018 ◽  
Vol 47 (1) ◽  
pp. 75-108
Author(s):  
Mark Wardman ◽  
Jeremy Toner
Keyword(s):  
Travel Demand ◽  
Demand Analysis ◽  
Generalised Cost

Transit Travel Demand Analysis Method Based on APTS Multi-Source Data

2013 ◽  
Vol 361-363 ◽  
pp. 2122-2126
Author(s):  
Jun Chen ◽  
Xiao Hua Li ◽  
Lan Ma
Keyword(s):  
Public Transportation ◽  
Large Scale ◽  
Travel Demand ◽  
Low Cost ◽  
Transportation Systems ◽  
Demand Analysis ◽  
Sample Survey ◽  
Analysis Method ◽  
Source Data ◽  
Bus Stops

Traditional transit travel information is acquired by Trip Sample Survey which has some disadvantages including high cost and short data lifecycle. This paper researched transit travel demand analysis method using Advanced Public Transportation Systems (APTS) data. The study collected APTS data of Nanning City in China and established APTS multi-source data analysis platform applying data warehouse technology. Based on key problems research, the paper presented the analysis procedure and content. Then, this study proposed the core algorithms of the method which are determinations of boarding bus stops, alighting bus stops and transfer bus stops of smart card passengers. Finally, these algorithms programs are experimented using large scale practical APTS data. The results show that this analysis method is low cost, operability and high accuracy.

scholarly journals Applying FEATHERS for Travel Demand Analysis: Model Considerations

2018 ◽  
Vol 8 (2) ◽  
pp. 211 ◽  
Author(s):  
Qiong Bao ◽  
Bruno Kochan ◽  
Yongjun Shen ◽  
Lieve Creemers ◽  
Tom Bellemans ◽  
...  
Keyword(s):  
Travel Demand ◽  
Demand Analysis ◽  
Analysis Model

Simulation of Daily Activity Patterns Incorporating Interactions within Households

2005 ◽  
Vol 1926 (1) ◽  
pp. 135-141 ◽  
Author(s):  
Ondřej Přibyl ◽  
Konstadinos G. Goulias
Keyword(s):  
Decision Trees ◽  
Daily Activity ◽  
Travel Demand ◽  
Activity Patterns ◽  
Demand Analysis ◽  
New Method ◽  
Travel Patterns ◽  
The Past ◽  
Microsimulation Models ◽  
Daily Activity Patterns

Activity-based approaches to travel demand analysis have gained attention in the past few years and rapidly created the need to develop alternative microsimulation models for comparisons. In this paper, one such example simulates an individual's daily activity–travel patterns and incorporates the interactions among members of households. This model uses several tools to simulate the activity patterns, including a new method to extract activity patterns from data and decision trees to take into account personal and household characteristics. The model outputs are the individuals’ daily activity patterns on a detailed temporal scale. These patterns respect individuals’ constraints, which are implicitly embedded in the simulated activity and travel schedules via the intrahousehold interactions. This model was evaluated with data from 1,500 persons in Centre County, Pennsylvania, collected during fall 2002 and spring 2003.

Assessment of Potential Effect on Travel of Telecommuting in Singapore

1996 ◽  
Vol 1552 (1) ◽  
pp. 154-160
Author(s):  
Piotr Olszewski ◽  
Soi-Hoi Lam
Keyword(s):  
Travel Demand ◽  
Demand Management ◽  
Potential Effect ◽  
Demand Analysis ◽  
Management Tool ◽  
Travel Demand Management ◽  
Potential Reduction ◽  
Telecommunications Infrastructure ◽  
High Degree ◽  
Near Future

Recently, there has been an increased interest in telecommuting in Singapore. A survey of 630 companies indicated that although only 1.7 percent have a formal telecommuting arrangement, 3.6 percent plan to introduce it in the near future and an additional 21.6 percent would like to explore the concept. Singapore has many of the prerequisites for telecommuting to become popular: a high and growing proportion of information workers, an excellent telecommunications infrastructure, and a large installed base of personal computers. To assess the potential effects of telecommuting, a stratified travel demand analysis was performed by using travel characteristics specific to different groups of information workers. The results indicate that a considerable reduction in vehicle trips to work can be achieved if telecommuting becomes more popular. The potential reduction is up to 4.9 percent in the year 2005 and up to 11.2 percent in 2010. The corresponding savings in distance traveled are in the range of 512 000 to 1 309 000 vehicle-km. Although these predictions have a high degree of uncertainty, they indicate that telecommuting has a potential to provide significant travel reduction benefits in Singapore and should be used as a travel demand management tool.

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