Готові списки джерел за темами / Trip mode

Добірка наукової літератури з теми "Trip mode"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

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Статті в журналах з теми "Trip mode"

1

Yang, S., Wei Deng, D. X. Wu, and W. Gong. "Analysis of the Interrelationship between Trip Chain Pattern and Trip Mode Choice Based on Multinomial Logistic Model." Applied Mechanics and Materials 743 (March 2015): 407–12. http://dx.doi.org/10.4028/www.scientific.net/amm.743.407.

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Анотація:
This paper explores the interrelationship between trip chain pattern and trip mode choice based on multinomial logistic model, using 2010 Nanjing resident trip survey data. Unlike previous literatures, trip mode choice is divided into single-mode and multi-modes in this study. Estimation coefficients verify trip chain pattern and trip mode selection are a pair of choices that influence each other. Trip mode is great positively associated with trip chain pattern of HW+WH, HO+OH, HW+OH, however, in return trip chain pattern is the most significant negative factor that affects trip mode choice, which means that no trip chain pattern would provoke travelers to select multi-modes. Despite the results seem to reach a contradiction between trip chain pattern and trip mode choice, still two facets of views try to explain the phenomenon, in addition, discussion on the interrelationship between complex trip chain pattern and multi-modes which might put forward more challenges to urban planning is also proposed as well in the paper.
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2

Shalaby, Amer S., and Gerald N. Steuart. "Trip End Mode Split." Transportation Research Record: Journal of the Transportation Research Board 1556, no. 1 (January 1996): 58–66. http://dx.doi.org/10.1177/0361198196155600108.

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Анотація:
Trip interchange models and their underlying assumption that relative level of service (LOS) of travel modes is a major determinant of mode choice for the work trip are examined. The investigation is done through a comparative analysis of trip end and trip interchange mode split for work trips in the greater Toronto area (GTA). Two model sets are developed; one includes trip end models and the other includes trip interchange models. The models are developed using a relatively new statistical procedure for nonparametric analysis of data referred to as classification and regression trees. The results show that the explanatory power enjoyed by trip end models is virtually the same as that of trip interchange models. Relative LOS is found to have an insignificant role in explaining heterogeneity in mode split, particularly outside the central business district of the study area. It is recommended that predictions made by trip interchange models of mode shift following changes in LOS attributes be approached with caution. Trip end models, which attribute less significance to relative LOS than trip interchange models and are thus conservative with respect to mode shift, could be considered in planning studies, particularly in areas of low transit use. The interaction between the decisions of residential and employment locations, car ownership, and mode choice is emphasized, and the need for more research to investigate and model such interactions is stressed.
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3

Liao, Yong, and Tao Wu. "The Research on Share Rate of Trip Mode Choice Based on Bayesian Theory." Applied Mechanics and Materials 373-375 (August 2013): 2262–65. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.2262.

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Анотація:
Based on Bayes analysis, a new model of trip mode choice is presented. Trip mode choice is divided into three phases: calculating prior distribution, obtaining conditional distribution by sampling and calculating share rate of trip modes. Supply characteristics of trip modes are taken as prior information. Unity value takes the place of unity function in MNL, and then prior distribution is achieved. Condition distribution is gained from sampling information. Bayes analysis is introduced into calculating posterior distribution. Share rates of trip modes, is calculated by total probability formula. Compared with other choice models, Model proposed in this paper improves the forecast accuracy of share rate without the need of parameter calibration like Logit model.
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4

Busari, Ayobami A. "Non-Motorized Trip Pattern in Sub-Saharan Africa: Assessment of Walk Trip." Open Transportation Journal 13, no. 1 (December 13, 2019): 194–202. http://dx.doi.org/10.2174/1874447801913010194.

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Анотація:
Background: Walking as a parent mode of transportation has received little or no attention regarding planning, design, and development, thereby leading to chaotic outcomes when it comes to controlling and future estimation in most sub-Saharan Africa countries. This necessitated the research on the pertinent factors and variables that affect walking as a means of transportation in the study area, a semi-urban industrial cluster in South-Western Nigeria. Methods: One Thousand five hundred (1500) information cards were distributed for seven months. This was done to accumulate information on trip patterns, modal split, walk trip volume and so on. The data obtained was analysed using SPSS version 23. Results: The result revealed that 53.2% of the respondent engages in a walk trip every day either to access mode, access sub-mode or for recreation purposes. The commercial zone showed the highest percentage of walk trips of 40%. The mathematical model showed that age and walk trips are inversely proportional. Based on the result of the analysis, cost, safety and exercise are the primary reason why people engage in a walking trip. The R2 value of 0.83 established the robustness of the model. Conclusion: The created model can be utilized for anticipating the future modular part by inputting anticipated future estimation of exploratory variables, which will also aid the planning of a better transport system for the locality. The lack of essential infrastructure poses a big problem for the utilisation of this mode of transportation.
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5

Goulias, Konstadinos, Werner Brog, and Erhard Erl. "Perceptions in Mode Choice Using Situational Approach “Trip-by-Trip Multivariate Analysis for Public Transportation”." Transportation Research Record: Journal of the Transportation Research Board 1645, no. 1 (January 1998): 82–93. http://dx.doi.org/10.3141/1645-11.

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Анотація:
Objective and subjective constraints that trip makers face are analyzed by using a trip-by-trip multivariate unbalanced panel analysis. These constraints emerge from trip makers’ stated reasons and dispositions for why a given mode was not used for their trips. A finite set of behavioral dimensions (situations), which are general, system, and service constraints, lack of information about the modes, negative disposition toward a mode, and time, comfort, and cost considerations were derived from open-ended questions on the respondents’ stated reasons. The presence of these situations, for each trip a person made in a day, is explained in terms of social and economic characteristics of the trip maker, place of residence, household resources, and trip characteristics. As expected, stated reasons for not using a specific mode vary with respect to the mode chosen, and they change within a day in a nonlinear manner depending on a person’s schedule. Illustrated is another facet of unobserved heterogeneity represented in the radically different individual perceptions, which have been recognized as important components in dynamic behavior simulation studies.
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6

Qi, Cong, Zhenjun Zhu, Xiucheng Guo, Ruiying Lu, and Junlan Chen. "Examining Interrelationships between Tourist Travel Mode and Trip Chain Choices Using the Nested Logit Model." Sustainability 12, no. 18 (September 12, 2020): 7535. http://dx.doi.org/10.3390/su12187535.

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Анотація:
As tourism grows, determining methods to ease traffic problems as a result of domestic tourism holidays has become a central issue in traffic planning and management. Trip chain and travel mode choices as well as their interplays are crucial in analysing and understanding the travel behaviour of tourists, which can help to address these problems. Therefore, this study explored the relationship between destination transportation modes and trip chain choices using nested logit models wherein two nest structures were used to analyse the decision processes of travellers. Empirical analysis confirmed the effectiveness of the rational model using survey data collected from 350 respondents in Nanjing, China in 2020. The results showed that tourists preferred deciding on the trip chain prior to the travel mode, and higher time and costs were acceptable when tourists selected a complex trip chain with tour activities. Moreover, non-local tourists owning a driver’s licence, travelling with companions, and staying for longer periods were more likely to use public transport with trip chains comprising tour activities; however, the relationship for trip chains with non-tour activities was the reverse. These findings are valuable for designing effective transport management strategies to ease traffic during holiday periods.
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7

Xiang, Yun, Chengcheng Xu, Weijie Yu, Shuyi Wang, Xuedong Hua, and Wei Wang. "Investigating Dominant Trip Distance for Intercity Passenger Transport Mode Using Large-Scale Location-Based Service Data." Sustainability 11, no. 19 (September 26, 2019): 5325. http://dx.doi.org/10.3390/su11195325.

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Анотація:
Intercity transport systems have been plagued by low efficiency and overutilization for a long time, due to unhealthy competition among multi-transport modes. Hence, this study aims to estimate the dominant trip distance of intercity passenger transport modes to optimize the allocation of intercity passenger transport resources and improve the efficiency of intercity transport systems. Dominant trip distance was classified into two types: Absolute dominant trip distance and relative dominant trip distance; and their respective models were developed using passenger transport mode share functions and fitting curves. Particularly, the big data of intercity passenger transport mode share rate of more than 360 cities in China was obtained using a network crawler and each passenger transport mode share function and their curves were proposed. Furthermore, the dominant trip distances estimation models of intercity passenger transport were developed and solved. The results show that there are significant differences in dominant trip distance between the transport modes. For example, the absolute and relative dominant trip distances of highway are 8–119 km and 8–463 km, respectively, while those of airway are 1594–3000 km and 2477–3000 km, respectively.
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8

Zhou, Zhuping, Wei Wang, and Qizhou Hu. "An Application of Hierarchical Structure Model for Trip Mode Choice Forecasting in China." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/925963.

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Анотація:
Trip mode split is the result of interrelated and mutually independent factors, such as city scale, urban form, economic level, trip distance, and travel time. In order to analyze the formation of traffic structure, it is necessary to make a comprehensive study on the mechanism of these factors and obtain the basic causal relationship of them. Based on this, by using the hierarchical structure model in system engineering, this paper firstly clarifies the logical relationship of different factors. Then, the existing trip survey data of several cities is used to establish the mathematical relationship of various factors of the structure model. Finally, the mode choice forecasting method is proposed based on the structure model of influencing factors. The case study result of six cities shows small bias, indicating that the proposed method is of great practical value. Policy makers can use the results to discover the trip structure feature and grasp the direction of transportation development policy.
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9

Westrom, Ryan, Stephanie Dock, Jamie Henson, Mackenzie Watten, Anjuli Bakhru, Matthew Ridgway, Jennifer Ziebarth, et al. "Multimodal Trip Generation Model to Assess Travel Impacts of Urban Developments in the District of Columbia." Transportation Research Record: Journal of the Transportation Research Board 2668, no. 1 (January 2017): 29–37. http://dx.doi.org/10.3141/2668-04.

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The research effort described in this paper aims to develop a state-of-the-practice methodology for estimating urban trip generation from mixed-use developments. The District Department of Transportation’s initiative focused on ( a) developing and testing a data collection methodology, ( b) collecting local data to complement the ITE’s national data in trip rate estimation, and ( c) developing a model–tool that incorporates contextual factors identified as affecting overall trip rate as well as trip rate by mode. The final model accurately predicts total person trips and mode choice. The full set of models achieves better statistical performance in relation to average model error and goodness of fit than either ITE rates alone or other existing research. The model includes sensitivity to local environment and on-site components. The model advances site-level trip generation research in two major ways: first, it calculates total person trips independent of mode choice; second, it calculates mode choice with sensitivity to the amount of parking provided on site—a major finding in the connection between parking provision and travel behavior at a local-site level. The methodology allows agencies to improve their assessment of expected trips from proposed buildings and therefore the level of impact a planned building may have on the transportation system.
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10

Qin, Shi Huan, Mo Song, Jian Ming Ying, and Li Neng Xu. "Bayesian Dynamic Model of Generalized Trip Cost Based on Traveler Perception." Advanced Materials Research 1030-1032 (September 2014): 2223–26. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.2223.

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Анотація:
Research on trip choice has been a hotspot in the area of traffic science. Daily trip choice behavior can be regard as a reiterative process and each choice represent a process during which travelers’ experience accumulated. The consequence of each choice will affect the next trip choice and the most direct one is the influence on the change of generalized trip cost traveler perceived. Therefore, the generalized trip cost traveler perceived is defined as the gist of the choice on trip mode and trip route and Bayesian dynamic model of generalized trip cost based on traveler perception is established in this paper.
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Дисертації з теми "Trip mode"

1

Ye, Xin. "An exploration of the relationship between mode choice and complexity of trip chaining patterns." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000417.

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2

Mousavi, Amir. "A novel method for trip generation estimation using a prominent land use as a case study." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/98263/1/Amir_Mousavi_Thesis.pdf.

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Анотація:
This research provided a new method for modelling development’s traffic generation for each mode of transport by considering trip chaining effects utilising urban form and socio-demographic related indicators in a suburb scale. Estimating traffic generation by using this method shows better performance compared to the conventional methods for traffic generation estimation. The methodology of this research can be transferred to other transport modelling endeavours and the variables can be used as transport attributes in other traffic and transport-related studies. This method will also contribute to saving considerable time and budget in terms of providing data related to trip generation.
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3

Shalaby, Amer Saïd. "Investigating mode split for the work trip, role of relative level of service and interaction with mobility dimensions." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq28303.pdf.

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4

Maggio, Edward. "Access to public transportation : an exploration of the National Household Travel Survey appended data." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001836.

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5

Lachman, Michael A. "Benchmarking a Transit System on Time-Constrained Trip Chain Access: A Comparative GIS Analysis of Two University Towns." Ohio University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1483613270824226.

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6

Cabrera, Delgado Jorge. "Quelle prise en compte des dynamiques urbaines dans la prévision de la demande de transport ?" Phd thesis, Université Lumière - Lyon II, 2013. http://tel.archives-ouvertes.fr/tel-00877044.

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Анотація:
Dans la pratique de la planification urbaine, la prévision de la demande de transport fait en général appel au modèle à quatre étapes (génération, distribution, répartition modale et affectation), malgré des avancées théoriques considérables dans le domaine.Cette persistance s'explique par une facilité relative de mise en œuvre, liée notamment à la forme des données disponibles et susceptibles d'alimenter les modèles. Cependant, la nature statique de l'approche pose des interrogations quant à sa pertinence pour faire des prévisions de moyen-long terme. Cette thèse étudie, la validité de l'hypothèse de stabilité temporelle des trois premières étapes du modèle de prévision. Pour ce faire, en prenant l'agglomération lyonnaise comme terrain d'étude, nous avons codifié des réseaux routiers et de transports en commun à différentes dates (1985, 1995 et 2006). Cette donne, généralement indisponible, combinée aux enquêtes ménages déplacements correspondantes,nous permet de calibrer les trois premières étapes du modèle traditionnel et de tester leur capacité prédictive. Pour les modèles de génération, on note des prévisions acceptables à un horizon de 10 ans. À 20 ans, certaines évolutions dans les styles de vie se sont traduites paru ne baisse du nombre moyen de sorties pour le motif travail, que les modèles traditionnels ne permettent pas de prévoir complètement. Au niveau de la distribution, l'allongement des distances entre lieux de réalisation de certaines activités et le lieu de domicile peut être relativement bien reproduit par des modèles gravitaires avec des paramètres stables dans le temps. Au niveau de la répartition modale, les paramètres ne sont pas stables et les modèles estimés n'auraient pas permis de prévoir le regain de parts de marché des transports en commun observé ces dernières années.
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7

LIU, RUI. "Travel Diary Semantics Enrichment of Trajectoriesbased on Trajectory Similarity Measures." Thesis, KTH, Geoinformatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-221426.

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Trajectory data is playing an increasingly important role in our daily lives, as well as in commercial applications and scientific research. With the rapid development andpopularity of GPS, people can locate themselves in real time. Therefore, the users’behavior information can be collected by analyzing their GPS trajectory data, so as topredict their new trajectories’ destinations, ways of travelling and even thetransportation mode they use, which forms a complete personal travel diary. The taskin this thesis is to implement travel diary semantics enrichment of user’s trajectoriesbased on the historical labeled data of the user and trajectory similarity measures.Specially, this dissertation studies the following tasks: Firstly, trip segmentationconcerns detecting the trips from trajectory which is an unbounded sequence oftimestamp locations of the user. This means that it is important to detect the stops,moves and trips of the user between two consecutive stops. In this thesis, a heuristicrule is used to identify the stops. Secondly, tripleg segmentation concerns identifyingthe location / time instances between two triplegs where / when a user changesbetween transport modes in the user's trajectory, also called makes transport modetransitions. Finally, mode inference concerns identifying travel mode for each tripleg.Specially, steps 2 and 3 are both based on the same trajectory similarity measure andproject the information from the matched similar trip trajectory onto the unlabeled triptrajectory. The empirical evaluation of these three tasks is based on real word data set(contains 4240 trips and 5451 triplegs with 14 travel modes for 206 users using oneweek study period) and the experiment performance (including trends, coverage andaccuracy) are evaluated and accuracy is around 25% for trip segmentation; accuracyvaries between 50% and 55% for tripleg segmentation; for mode inference, it isbetween 55% and 60%. Moreover, accuracy is higher for longer trips than shortertrips, probably because people have more mode choices in short distance trips (likemoped, bus and car), which makes the measure more confused and the accuracy canbe increased by nearly 10% with the help of reverse trip identifiable, because it makesa trip have more similar historical trips and increases the probability that a newunlabeled trip can be matched based on its historical trips.
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8

Kölbl, Robert Johann. "A bio-physical model of trip generation/trip distribution." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326306.

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9

Wittek, Dorothee [Verfasser], Klaus [Akademischer Betreuer] Bogenberger, Klaus Gutachter] Bogenberger, and Rolf [Gutachter] [Moeckel. "Pre-trip Information Systems and Mode Choice Modelling in the Era of On-demand Mobility Services / Dorothee Wittek ; Gutachter: Klaus Bogenberger, Rolf Moeckel ; Akademischer Betreuer: Klaus Bogenberger ; Universität der Bundeswehr München, Fakultät für Bauingenieurwesen und Umweltwissenschaften." Neubiberg : Universitätsbibliothek der Universität der Bundeswehr München, 2020. http://nbn-resolving.de/urn:nbn:de:bvb:706-6604.

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Wittek, Dorothee [Verfasser], Klaus [Akademischer Betreuer] Bogenberger, Klaus [Gutachter] Bogenberger, and Rolf [Gutachter] Moeckel. "Pre-trip Information Systems and Mode Choice Modelling in the Era of On-demand Mobility Services / Dorothee Wittek ; Gutachter: Klaus Bogenberger, Rolf Moeckel ; Akademischer Betreuer: Klaus Bogenberger ; Universität der Bundeswehr München, Fakultät für Bauingenieurwesen und Umweltwissenschaften." Neubiberg : Universitätsbibliothek der Universität der Bundeswehr München, 2020. http://d-nb.info/1214612482/34.

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Книги з теми "Trip mode"

1

Vladisavljevic-Vojinovic, Dragana. An investigation of nested logit structures for work trip mode choice models. Ottawa: National Library of Canada, 1996.

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2

Frank, Lawrence D. An analysis of relationships between urban form (density, mix, and jobs: housing balance) and travel behavior (mode choice, trip generation, trip length, and travel time). [Olympia, Wash.]: Washington State Dept. of Transportation, 1994.

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3

Associates, Barton-Aschman. Model validation and reasonableness checking manual. [Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, Federal Transit Administration, Assistant Secretary for Transportation Policy, 2001.

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4

Neri, Indro. Troppa trippa: Sull'antico mestiere del trippaio a Firenze ed i mille modi di cucinare la trippa nel mondo. Firenze: Neri, 1996.

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5

D'Juran, Clayton Alexander. A combined fratar-gravity model for trip distribution. Ottawa: National Library of Canada, 1995.

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6

Matthewman, Tony. The history of TRIX HO/OO model railways in Britain. London: New Cavendish Books, 1994.

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7

P, Achmad Faiz Hadi. Aktualisasi model trip distribusi penerbangan domestik di Pelabuhan Udara Juanda, Surabaya. Surabaya]: Fakultas Teknik Sipil dan Perencanaan, Jurusan Teknik Sipil, Institut Teknologi Sepuluh Nopember, 2006.

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8

Steiner, Ruth Lorraine. Traditional neighborhood shopping districts: Patterns of use and modes of access. Berkeley, Calif: University of California at Berkeley, Institute of Urban and Regional Development, 1997.

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9

History of Trix HO/OO Model Railways in Britain. London: New Cavendish Books, 1994.

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10

Jea, David P. W. A trip prediction model based on density stratification of the greater Toronto area. Ottawa: National Library of Canada, 1990.

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Частини книг з теми "Trip mode"

1

Ando, Ryosuke, Shogo Kawakami, and Naojiro Aoshima. "Incorporating a Disaggregate Model for Trip Generation, Trip Distribution and Mode Choice." In Regional Science: Perspectives for the Future, 345–60. London: Palgrave Macmillan UK, 1997. http://dx.doi.org/10.1007/978-1-349-25514-6_24.

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2

Langer, Dorothea, and Angelika C. Bullinger. "User Requirement? Travel Mode Choice Routines Across Different Trip Types." In HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments, 111–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59987-4_9.

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3

Dutta, Subhasis, Sushil B. Wankhede, Kaustubh V. Gadgil, and S. Panyam. "Failure Mode Effect Analysis of Analog Alarm Trip Unit Using Simulation Technique." In Reliability, Safety and Hazard Assessment for Risk-Based Technologies, 189–98. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9008-1_16.

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4

Milot, Jonathan, Jaël Champagne Gareau, and Éric Beaudry. "An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction." In Advances in Artificial Intelligence, 408–19. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47358-7_42.

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5

Gupta, Kirti, Neeta Pandey, and Maneesha Gupta. "Tri-state CML Circuits." In Model and Design of Improved Current Mode Logic Gates, 151–71. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0982-7_7.

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6

Wang, Kefeng, Hui Sun, Qiang Zeng, and Chunyun Zhang. "Research on the multi trip split delivery vehicle routing problem with time windows and release dates under joint distribution mode." In Frontier Research: Road and Traffic Engineering, 838–45. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003305002-109.

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7

Melikov, Pierre, Jeremy A. Kho, Vincent Fighiera, Fahad Alhasoun, Jorge Audiffred, José L. Mateos, and Marta C. González. "Characterizing Urban Mobility Patterns: A Case Study of Mexico City." In Urban Informatics, 153–70. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_11.

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AbstractSeamless access to destinations of value such as workplaces, schools, parks or hospitals, influences the quality of life of people all over the world. The first step to planning and improving proximity to services is to estimate the number of trips being made from different parts of a city. A challenge has been representative data available for that purpose. Relying on expensive and infrequently collected travel surveys for modeling trip distributions to facilities has slowed down the decision-making process. The growing abundance of data already collected, if analyzed with the right methods, can help us with planning and understanding cities. In this chapter, we examine human mobility patterns extracted from data passively collected. We present results on the use of points of interest (POIs) registered on Google Places to approximate trip attraction in a city. We compare the result of trip distribution models that utilize only POIs with those utilizing conventional data sets, based on surveys. We show that an extended radiation model provides very good estimates when compared with the official origin–destination matrices from the latest census in Mexico City.
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Van Paesschen, Ellen, Wolfgang De Meuter, and Maja D’Hondt. "SelfSync: A Dynamic Round-Trip Engineering Environment." In Model Driven Engineering Languages and Systems, 633–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11557432_47.

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9

Kalevi, Rantanen, Conley David W., and Domb Ellen R. "Enriching the Model for Problem Solving." In Simplified TRIZ, 121–25. 3rd edition. | Boca Raton : Taylor & Francis, CRC Press, 2018.: Productivity Press, 2017. http://dx.doi.org/10.1201/b22111-9.

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Hashimoto, Kengo. "Subcriticality." In Accelerator-Driven System at Kyoto University Critical Assembly, 13–49. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0344-0_2.

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AbstractFor a subcritical reactor system driven by a periodically pulsed spallation neutron source in KUCA, the Feynman-α and the Rossi-α neutron correlation analyses are conducted to determine the prompt neutron decay constant and quantitatively to confirm a non-Poisson character of the neutron source. The decay constant determined from the present Feynman-α analysis well agrees with that from a previous analysis for the same subcritical system driven by an inherent source. Considering the effect of a higher mode excited, the disagreement can be successfully resolved. The power spectral analysis on frequency domain is also carried out. Not only the cross-power but also the auto-power spectral density have a considerable correlated component even at a deeply subcritical state, where no correlated component could be previously observed under a 14 MeV neutron source. The indicator of the non-Poisson character of the present spallation source can be obtained from the spectral analysis and is consistent with that from the Rossi-α analysis. An experimental technique based on an accelerator-beam trip or restart operation is proposed to determine the subcritical reactivity of ADS. Applying the least-squares inverse kinetics method to the data analysis, the subcriticality can be inferred from time-sequence neutron count data after these operations.
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Тези доповідей конференцій з теми "Trip mode"

1

Chen, Gang, Da-wei Hu, and Ying Huang. "Influence of Trip Time and Trip Cost on Trip Mode for Residents in a Medium-Sized City." In 15th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479292.115.

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Gunay, Gurkan, and Ilgin Gokasar. "Modeling Airport Ground Access Mode Choice by Trip Purpose: Business vs. Personal Trips." In The International Conference on Civil Infrastructure and Construction. Qatar University Press, 2020. http://dx.doi.org/10.29117/cic.2020.0059.

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3

Tang, Li, Hongyao Deng, Xing Zhao, and Xuejun Zhang. "Comparative Analysis of Travel Mode Choices under the Perspectives of Trip and Trip Chain." In 18th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481523.100.

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Indriany, Sylvia, Ade Sjafruddin, Aine Kusumawati, and Widyarini Weningtyas. "Mode choice model for working trip under risk and uncertainty." In HUMAN-DEDICATED SUSTAINABLE PRODUCT AND PROCESS DESIGN: MATERIALS, RESOURCES, AND ENERGY: Proceedings of the 4th International Conference on Engineering, Technology, and Industrial Application (ICETIA) 2017. Author(s), 2018. http://dx.doi.org/10.1063/1.5042897.

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Chen, Xiaoxu, Chao Yang, and Xiangdong Xu. "Utilizing Mobile Phone Signaling Data for Trip Mode Identification." In 19th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482292.396.

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Pu, Xiang, Wei Wang, and Yunteng Wu. "Short-Distance Trip Mode Choice Behavior of the Elderly." In 15th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479292.355.

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7

Chen, Xiyun. "Analysis of Greenway Network Size Based on Trip Mode Chain." In Third International Conference on Transportation Engineering (ICTE). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41184(419)101.

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Lu, Zhenbo, Juan Liu, Gai Zhang, Yu Zhao, and Nianqi Zhang. "Identification of Trip Mode Based on Mobile Phone Signaling Data." In 18th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481523.021.

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9

Zhang, Xiaolong. "Individual trip mode recognition based on smartphone GPS positioning data." In 2021 International Conference on Intelligent Traffic Systems and Smart City, edited by Fengxin Cen and Guoping Tan. SPIE, 2022. http://dx.doi.org/10.1117/12.2627813.

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10

Priya, G. Nantha, Samson Mathew, and G. Subbaiyan. "An investigation on Mode choice and trip length of senior citizens." In Annual International Conference on Architecture and Civil Engineering (ACE 2016). Global Science & Technology Forum ( GSTF ), 2016. http://dx.doi.org/10.5176/2301-394x_ace16.21.

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Звіти організацій з теми "Trip mode"

1

Sabogal-Cardona, Orlando, Lynn Scholl, Daniel Oviedo, Amado Crotte, and Felipe Bedoya. Not My Usual Trip: Ride-hailing Characterization in Mexico City. Inter-American Development Bank, August 2021. http://dx.doi.org/10.18235/0003516.

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With a few exceptions, research on ride-hailing has focused on North American cities. Previous studies have identified the characteristics and preferences of ride-hailing adopters in a handful of cities. However, given their marked geographical focus, the relevance and applicability of such work to the practice of transport planning and regulation in cities in the Global South is minimal. In developing cities, the entrance of new transport services follows very different trajectories to those in North America and Europe, facing additional social, economic, and cultural challenges, and involving different strategies. Moreover, the determinants of mode choice might be mediated by social issues such as the perception of crime and the risk of sexual harassment in public transportation, which is often experienced by women in large cities such as Mexico. This paper examines ride-hailing in the Metropolitan Area of Mexico City, unpacking the characteristics of its users, the ways they differ from users of other transport modes, and the implications for urban mobility. Building on the household travel survey from 2017, our analytical approach is based on a set of categorical models. Findings suggest that gender, age, education, and being more mobile are determinants of ride-hailing adoption. The analysis shows that ride-hailing is used for occasional trips, and it is usually done for leisure and health trips as well as for night trips. The study also reflects on ride-hailings implications for the way women access the city.
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Kwon, Jaymin, Yushin Ahn, and Steve Chung. Spatio-Temporal Analysis of Roadside Transportation-Related Air Quality (StarTraq 2021): A Characterization of Bike Trails and Highways in the Fresno/Clovis Area. Mineta Transportation Institute, November 2022. http://dx.doi.org/10.31979/mti.2022.2128.

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The San Joaquin Valley is identified as an area with a high level of particulate matter (PM) in the air, reaching above the federal and state clean air standards (EPA 2019). Many of the cities in the valley are classified as the most polluted cities in the United States for both particulate matter and ozone pollution (American Lung Association, 2021). To resolve this issue, alternative forms of transportation have been considered in transportation planning. In this study, active transportation mode air quality was monitored on selected Woodward Park and Old Clovis trails and urban bike lanes. Real-time aerosol monitors, and low-cost sensors were carried in a backpack on bicycles during the sampling. Researchers collected GPS data via a portable GPS technology called Tracksticks. Driving transportation mode air quality data was acquired from the roadways within the Fresno/Clovis area, spanning six sampling routes, and during intercity trips between Fresno, Berkeley, and Los Angeles, for a total of five sampling routes. ‘On-Road' (outside vehicle) monitors were installed on the roof of a vehicle while ‘In-Vehicle’ monitors were installed inside the vehicle for comparison with the particulate pollution levels in the two contrasting microenvironments. The results showed the following three main outcomes: (1) clear relationships exist among PMs of different sizes; (2) there were greater variations in air quality of bike trails and On-Road samples than backyard and In-Vehicle samples; (3) we observed significant differences in air quality inside and outside the vehicle while driving local and intercity roadways; and (4) the road trip to the Bay area revealed that San Joaquin Valley has increased ambient PM2.5 and black carbon (BC) levels compared to those in the Bay Area on every trip, regardless of the daily change of the air quality.
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Lewis, Sherman, Emilio Grande, and Ralph Robinson. The Mismeasurement of Mobility for Walkable Neighborhoods. Mineta Transportation Institute, November 2020. http://dx.doi.org/10.31979/mti.2020.2060.

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The major US household travel surveys do not ask the right questions to understand mobility in Walkable Neighborhoods. Yet few subjects can be more important for sustainability and real economic growth based on all things of value, including sustainability, affordability, and quality of life. Walkable Neighborhoods are a system of land use, transportation, and transportation pricing. They are areas with attractive walking distances of residential and local business land uses of sufficient density to support enough business and transit, with mobility comparable to suburbia and without owning an auto. Mobility is defined as the travel time typically spent to reach destinations outside the home, not trips among other destinations that are not related to the home base. A home round trip returns home the same day, a way of defining routine trips based on the home location. Trip times and purposes, taken together, constitute travel time budgets and add up to total travel time in the course of a day. Furthermore, for Walkable Neighborhoods, the analysis focuses on the trips most important for daily mobility. Mismeasurement consists of including trips that are not real trips to destinations outside the home, totaling 48 percent of trips. It includes purposes that are not short trips functional for walk times and mixing of different trips into single purposes, resulting in even less useful data. The surveys do not separate home round trips from other major trip types such as work round trips and overnight trips. The major household surveys collect vast amounts of information without insight into the data needed for neighborhood sustainability. The methodology of statistics gets in the way of using statistics for the deeper insights we need. Household travel surveys need to be reframed to provide the information needed to understand and improve Walkable Neighborhoods. This research makes progress on the issue, but mismeasurement prevents a better understanding of the issue.
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Green, John G., and Francis J. Miller. Examining the Effects of Precision Scheduled Railroading on Intercity Passenger and High-Speed Rail Service. Mineta Transportation Institute, March 2022. http://dx.doi.org/10.31979/mti.2022.2016.

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More than just scheduling terminal-to-terminal trips for trains, “Precision Scheduled Railroading” (PSR) creates entire point-to-point trip plans for individual railroad shipments. Since precision execution was first put into practice, the benefits to shipment arrival reliability and to freight railroads’ profitability have been demonstrated by its use in several Class One freight railroads. However, the effects of the PSR operating strategy on passenger railway operations in shared freight/passenger corridors has not been studied in detail. This research examines the effects of PSR railroad operations on passenger railways, including measuring “Host Railroad Minutes of Delay per 10,000 Train-Miles” and “On-Time Performance” of individual passenger railways, both intercity and high-speed.
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5

Winters, Philip. Worksite Trip Reduction Model and Manual. Tampa, FL: University of South Florida, April 2004. http://dx.doi.org/10.5038/cutr-nctr-rr-2002-15.

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6

Dotan, A., W. S. Hodgkiss, G. L. Edmonds, and J. C. Nickles. Acoustic Modem: March 16, 1989 Trip Report. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada240912.

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Niles, John S., and J. M. Pogodzinski. Steps to Supplement Park-and-Ride Public Transit Access with Ride-and-Ride Shuttles. Mineta Transportation Institute, July 2021. http://dx.doi.org/10.31979/mti.2021.1950.

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Public transit ridership in California declined in the five years before the pandemic of 2020–21 and dropped significantly further after the pandemic began. A sharp downward step in the level of transit boarding occurred after February 2020, and continues to the date of this report as a result of the public-health guidance on social distancing, expanded work-at-home, and a travel mode shift from public transit to private cars. A critical issue has come to the foreground of public transportation policy, namely, how to increase the quality and geographic reach of transit service to better serve the essential trips of mobility disadvantaged citizens who do not have access to private vehicle travel. The research focus of this report is an examination of the circumstances where fixed route bus route service could cost-effectively be replaced by on-demand microtransit, with equivalent overall zone-level efficiency and a higher quality of complete trip service. Research methods were reviews of documented agency experience, execution of simple simulations, and sketch-level analysis of 2019 performance reported in the National Transit Database. Available evidence is encouraging and suggestive, but not conclusive. The research found that substitutions of flexible microtransit for fixed route buses are already being piloted across the U.S., with promising performance results. The findings imply that action steps could be taken in California to expand and refine an emphasis on general purpose microtransit in corridors and zones with a relatively high fraction of potential travelers who are mobility disadvantaged, and where traditional bus routes are capturing fewer than 15 boardings per vehicle hour. To be sufficiently productive as fixed route replacements, microtransit service technologies in the same or larger zones need to be capable of achieving vehicle boardings of five per hour, a challenge worth addressing with technology applications. Delivery of microtransit service can be undertaken through contracts with a growing set of private sector firms, which are developing processes to merge general purpose customers with those now assigned to ADA-required paratransit and Medi-Cal-supported non-emergency medical transport.
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Brown, Anne, Alice Grossman, and Lucy Noble. Via2G Microtransit Pilot Evaluation. Mineta Transportation Institute, May 2021. http://dx.doi.org/10.31979/mti.2021.2002.

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Google partnered with Via to launch an on-demand microtransit called Via2G between January and March 2020. The pilot provided employees with free travel to/from two of its offices in suburban, congested Silicon Valley. While the pilot was cut short due to COVID-19, rider participation grew steadily during operation. Of trip requests, 8,636 (87.8%) resulted in a ride offer. Unfulfilled requests were primarily outside of pilot operating times or when rider demand exceeded driver supply. Most users (72%) completed at least two trips, although recurring users were less likely to complete errands on the commute and fewer had a car available for commuting compared to all surveyed Google employees. Prior to Via2G, two-thirds (66%) of survey respondents drove to work at least one day per week, while a plurality (42%) drove five days per week. Compared to non-participants, pilot users were more likely to take ride-hail (14 vs 22 percent) or the Google Bus (24 vs 30 percent) at least once a week prior to the pilot. Recommendations suggest iterations for Google or other centralized employers to consider in future microtransit programs.
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Hsueh, Gary, David Czerwinski, Cristian Poliziani, Terris Becker, Alexandre Hughes, Peter Chen, and Melissa Benn. Using BEAM Software to Simulate the Introduction of On-Demand, Automated, and Electric Shuttles for Last Mile Connectivity in Santa Clara County. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1822.

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Despite growing interest in low-speed automated shuttles, pilot deployments have only just begun in a few places in the U.S., and there is a lack of studies that estimate the impacts of a widespread deployment of automated shuttles designed to supplement existing transit networks. This project estimated the potential impacts of automated shuttles based on a deployment scenario generated for a sample geographic area: Santa Clara County, California. The project identified sample deployment markets within Santa Clara County using a GIS screening exercise; tested the mode share changes of an automated shuttle deployment scenario using BEAM, an open-source beta software developed at the Lawrence Berkeley National Laboratory to run traffic simulations with MATSim; elaborated the model outputs within the R environment; and then estimated the related impacts. The main findings have been that the BEAM software, despite still being in its beta version, was able to model a scenario with the automated shuttle service: this report illustrates the potential of the software and the lessons learned. Regarding transportation aspects, the model estimated automated shuttle use throughout the county, with a higher rate of use in the downtown San José area. The shuttles would be preferred mainly by people who had been using gasoline-powered ride hail vehicles for A-to-B trips or going to the bus stop, as well as walking trips and a few car trips directed to public transport stops. As a result, the shuttles contributed to a small decrease in emissions of air pollutants, provided a competitive solution for short trips, and increased the overall use of the public transport system. The shuttles also presented a solution for short night trips—mainly between midnight and 2 am—when there are not many options for moving between points A and B. The conclusion is that the automated shuttle service is a good solution in certain contexts and can increase public transit ridership overall.
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Thomas, Daniel. The Tri-Model Framework for International Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada481034.

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