FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W930150929> ?p ?o ?g. }

• W930150929 abstract "Transportation problems such as congestion and air pollution are attracting more attention than ever. Transportation strategies such as congestion pricing and construction of infrastructure have been adopted to alleviate the problems. However, these strategies all involve great cost. Therefore, accurate forecasting of the response of travel demand to changes in the transportation system is required in planning and evaluating future transportation strategy. The present research sought to develop a comprehensive activity-based travel demand modeling system in order to make travel demand forecasting more accurate and realistic as well as easy to use. The modeling system comprises four sequential steps: lifestyle basis of activity decisions, activity generation, destination and mode choice, and departure time choice. Numerous attempts have been made, especially in the last ten years, to model decision processes more realistically in formulating activity-travel patterns. Many of these approaches are very complex and there is always the issue of trade-offs between behavioral realism and complexity. Due to the potential heterogeneous responses to transportation policy and land-use planning and the diverse lifestyles of a population, it is often advantageous to first divide individuals of a study area into several lifestyle clusters before the development of separate activity-based travel demand models. By doing so, the complexity of the models can be greatly reduced and, at the same time, the activity and travel patterns can be implicitly considered. There has been considerable research conducted over the last 20 years focused on trip/activity generation. The statistical models commonly applied are of two main types. One is discrete choice models and the other is count data models. There is little discussion in the literature comparing different statistical modeling approaches or identifying which statistical models are most appropriate for modeling trip/activity generation data. The current dissertation compares the two model systems to identify which one can give a more realistic representation of the patterns of activities performed by suburban residents. Once an individual has decided on his/her activity type, choosing a suitable destination and transportation mode follows. People are assumed to select a destination first and then choose a particular transportation mode to the destination. In the current dissertation, the destination choice and mode choice given the destination are modeled by using a generalized logit model and a binary logit model separately. Finally, a Bayesian theorem is used to develop an activity-based travel demand model that incorporates the interrelationship between activity-type, destination and mode choices. Departure time is the next decision. The current study formulates and applies a random-coefficients Cox hazard model to analyze departure time choice for non-workers in the context of daily activity schedules. The model recognizes the presence of unobserved heterogeneity affecting departure time decisions by means of random-coefficients. A special note of thanks is due to the City University of Hong Kong for the graduate scholarship and the Department of Management Sciences for providing a very pleasant studying environment. In particular, I wish to express my thanks to all the support staff from the MS department and the Suzhou institute who have helped make the environment harmonious and conducive to research. Finally, I would like to give my deepest thanks to my parents for their support, patience and unconditional love." @default.
• W930150929 created "2016-06-24" @default.
• W930150929 creator A5020482966 @default.
• W930150929 creator A5036930696 @default.
• W930150929 date "2010-01-01" @default.
• W930150929 modified "2023-09-23" @default.
• W930150929 title "ACTIVITY-BAED TRAVEL DEMAND MODELING SYSTEM IN SUBURBAN AREA" @default.
• W930150929 hasPublicationYear "2010" @default.
• W930150929 type Work @default.
• W930150929 sameAs 930150929 @default.
• W930150929 citedByCount "0" @default.
• W930150929 crossrefType "journal-article" @default.
• W930150929 hasAuthorship W930150929A5020482966 @default.
• W930150929 hasAuthorship W930150929A5036930696 @default.
• W930150929 hasConcept C10138342 @default.
• W930150929 hasConcept C127413603 @default.
• W930150929 hasConcept C144024400 @default.
• W930150929 hasConcept C144072006 @default.
• W930150929 hasConcept C144133560 @default.
• W930150929 hasConcept C149923435 @default.
• W930150929 hasConcept C157085824 @default.
• W930150929 hasConcept C182306322 @default.
• W930150929 hasConcept C193809577 @default.
• W930150929 hasConcept C22212356 @default.
• W930150929 hasConcept C2778226110 @default.
• W930150929 hasConcept C2779888511 @default.
• W930150929 hasConcept C2908647359 @default.
• W930150929 hasConcept C39118121 @default.
• W930150929 hasConcept C41008148 @default.
• W930150929 hasConcept C42475967 @default.
• W930150929 hasConceptScore W930150929C10138342 @default.
• W930150929 hasConceptScore W930150929C127413603 @default.
• W930150929 hasConceptScore W930150929C144024400 @default.
• W930150929 hasConceptScore W930150929C144072006 @default.
• W930150929 hasConceptScore W930150929C144133560 @default.
• W930150929 hasConceptScore W930150929C149923435 @default.
• W930150929 hasConceptScore W930150929C157085824 @default.
• W930150929 hasConceptScore W930150929C182306322 @default.
• W930150929 hasConceptScore W930150929C193809577 @default.
• W930150929 hasConceptScore W930150929C22212356 @default.
• W930150929 hasConceptScore W930150929C2778226110 @default.
• W930150929 hasConceptScore W930150929C2779888511 @default.
• W930150929 hasConceptScore W930150929C2908647359 @default.
• W930150929 hasConceptScore W930150929C39118121 @default.
• W930150929 hasConceptScore W930150929C41008148 @default.
• W930150929 hasConceptScore W930150929C42475967 @default.
• W930150929 hasLocation W9301509291 @default.
• W930150929 hasOpenAccess W930150929 @default.
• W930150929 hasPrimaryLocation W9301509291 @default.
• W930150929 hasRelatedWork W1481840569 @default.
• W930150929 hasRelatedWork W1557068073 @default.
• W930150929 hasRelatedWork W1910023149 @default.
• W930150929 hasRelatedWork W206046325 @default.
• W930150929 hasRelatedWork W2066531726 @default.
• W930150929 hasRelatedWork W2096031223 @default.
• W930150929 hasRelatedWork W2202611630 @default.
• W930150929 hasRelatedWork W2362767805 @default.
• W930150929 hasRelatedWork W247588154 @default.
• W930150929 hasRelatedWork W2554077798 @default.
• W930150929 hasRelatedWork W2588217016 @default.
• W930150929 hasRelatedWork W270000216 @default.
• W930150929 hasRelatedWork W2782011332 @default.
• W930150929 hasRelatedWork W3146542091 @default.
• W930150929 hasRelatedWork W561350610 @default.
• W930150929 hasRelatedWork W580447849 @default.
• W930150929 hasRelatedWork W615426861 @default.
• W930150929 hasRelatedWork W626225279 @default.
• W930150929 hasRelatedWork W852538305 @default.
• W930150929 hasRelatedWork W27488082 @default.
• W930150929 isParatext "false" @default.
• W930150929 isRetracted "false" @default.
• W930150929 magId "930150929" @default.
• W930150929 workType "article" @default.