Reduced Overestimation in Forecasting Telecommuting as a Travel Demand Management Policy

2008 ◽  
Vol 2082 (1) ◽  
pp. 8-16 ◽  
Author(s):  
Gil Tal
Keyword(s):  
Travel Demand ◽  
Demand Management ◽  
Management Policy ◽  
Travel Demand Management

scholarly journals A Prototype Rule-Based Expert System for Travel Demand Management

2013 ◽  
Vol 4 (1) ◽  
pp. 34-39
Author(s):  
Resdiansyah Mansyur ◽  
Riza Atiq O.K Rahmat ◽  
Amiruddin Ismail
Keyword(s):  
Expert System ◽  
Travel Demand ◽  
Demand Management ◽  
Management Policy ◽  
Travel Demand Management ◽  
Rule Based ◽  
Intelligent Decision ◽  
Support Software ◽  
Intelligent Decision Support ◽  
Selection Of

In this research, a prototype rule-based expert system for travel demand management (TDM) in selecting suitable policy was designed and developed. This expert system suggests a process for travel demand management policy implementation, and offers guidance and advice on the selection of effective and appropriate policies. The system is supported with an object-oriented modeling in the knowledge abstraction and representation, and the interactions with the system are performed through a friendly graphical user interface (GUI). The prototype of the system was developed in shell expert system platform (KAPPA-PC). The outcomes obtained by the current prototype show that the used rule-based expert system architecture resulted in successful computerized intelligent decision support software that is easy to maintain, modify, and extend.

Linking Residential Parking to Automobile Transportation Impact Outcomes at a Development Level

2020 ◽  
pp. 036119812096479
Author(s):  
Kristina M. Currans ◽  
Gabriella Abou-Zeid ◽  
Nicole Iroz-Elardo
Keyword(s):  
Travel Behavior ◽  
Travel Demand ◽  
Demand Management ◽  
Management Strategies ◽  
Land Development ◽  
Future Research ◽  
Alternative Mode ◽  
Travel Demand Management ◽  
Development Level ◽  
Automobile Demand

Although there exists a well-studied relationship between parking policies and automobile demand, conventional practices evaluating the transportation impacts of new land development tend to ignore this. In this paper, we: (a) explore literature linking parking policies and vehicle use (including vehicle trip generation, vehicle miles traveled [VMT], and trip length) through the lens of development-level evaluations (e.g., transportation impact analyses [TIA]); (b) develop a conceptual map linking development-level parking characteristics and vehicle use outcomes based on previously supported theory and frameworks; and (c) evaluate and discuss the conventional approach to identify the steps needed to operationalize this link, specifically for residential development. Our findings indicate a significant and noteworthy dearth of studies incorporating parking constraints into travel behavior studies—including, but not limited to: parking supply, costs or pricing, and travel demand management strategies such as the impacts of (un)bundled parking in housing costs. Disregarding parking in TIAs ignores a significant indicator in automobile use. Further, unconstrained parking may encourage increases in car ownership, vehicle trips, and VMT in areas with robust alternative-mode networks and accessibility, thus creating greater demand for vehicle travel than would otherwise occur. The conceptual map offers a means for operationalizing the links between: the built environment; socio-economic and demographic characteristics; fixed and variable travel costs; and vehicle use. Implications for practice and future research are explored.

Estimating Price and Service Elasticity of Urban Transportation Demand with Stated Preference Technique: Case in Korea

2003 ◽  
Vol 1839 (1) ◽  
pp. 167-172 ◽  
Author(s):  
Sungwon Lee ◽  
Yeong Heok Lee ◽  
Jee Hyung Park
Keyword(s):  
Travel Demand ◽  
Stated Preference ◽  
Demand Management ◽  
Parameter Estimate ◽  
Demand Elasticity ◽  
Fuel Price ◽  
Travel Demand Management ◽  
Passenger Car ◽  
Transportation Demand ◽  
Car Travel

Price and service elasticities of passenger car travel are estimated using stated preference and sample enumeration methodology. Moreover, the effects of hypothetical travel demand management policies are analyzed by changes on modal share using the elasticity estimates. The elasticity of passenger car travel with fuel price is estimated to be within the range of −0.078 to −0.171. The parameter estimate of the fare variable is estimated to be statistically insignificant in every subgroup of car users. This finding suggests that fare policies are relatively ineffective for increasing transit modal shares in Korea. Meanwhile, car users' responsiveness to changes in parking costs is estimated to be much higher than for fuel cost. This suggests that parking regulations or pricing policies may be effective in reducing travel by passenger car. The elasticity with in-vehicle time, which is a key attribute of public transport amenities, is estimated to be particularly high, implying that policy measures such as introducing express buses or express urban trains could be effective in reducing passenger car travel. The demand elasticity of service levels of mass transit represented by the degree-of-crowdedness proxy turns out to be very high. Reducing crowdedness in public transit can be very effective in attracting more passengers, or at least in retaining current patronage.

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