Relevant bibliographies by topics / Transport demand forecasting

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Transport demand forecasting'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Transport demand forecasting"

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van Vuren, Tom. "Modeling of transport demand – analyzing, calculating, and forecasting transport demand." Transport Reviews 40, no. 1 (2019): 115–17. http://dx.doi.org/10.1080/01441647.2019.1635226.

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Dosunmu, Bayo. "Delivering London 2012: Transport demand forecasting." Proceedings of the Institution of Civil Engineers - Transport 165, no. 4 (2012): 257–66. http://dx.doi.org/10.1680/tran.12.00039.

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Pitfield, D. E. "Predicting Air-Transport Demand." Environment and Planning A: Economy and Space 25, no. 4 (1993): 459–66. http://dx.doi.org/10.1068/a250459.

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In this paper, the efficiency of autoregressive integrated moving average (ARIMA) and regression models in simulating air-transport passengers by route are compared and constrasted. It is concluded that ARIMA models are far superior not only in their simulation capabilities but also in their applicability to such data. In the context of the UK Civil Aviation Authority's approach to forecasting, it is suggested that ARIMA models, including those with intervention terms, bear closer examination.
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Wu, Ping, Xiao Nian Sun, and Xian Guang Wang. "Research on New Ideas of Comprehensive Traffic Demand Analysis Techniques and Methods." Applied Mechanics and Materials 587-589 (July 2014): 2246–51. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.2246.

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There are several misunderstandings in the current forecasting methods of integrated traffic demand in China, seriously impacting on the forecasting accuracy of integrated traffic demand. Starting from systems theory and the adaptive theory of traffic and economic development and combined with characteristics of integrated transportation demand, this paper proposes the innovative thinking of the analytical techniques and methods of integrated traffic demand in the future and the forecasting methods of integrated passenger and cargo transport demand as well as the model approach of the structur
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Trujillo, Lourdes, Emile Quinet, and Antonio Estache. "Dealing with demand forecasting games in transport privatization." Transport Policy 9, no. 4 (2002): 325–34. http://dx.doi.org/10.1016/s0967-070x(02)00022-7.

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Tsekeris, Theodore, and Charalambos Tsekeris. "Demand Forecasting in Transport: Overview and Modeling Advances." Economic Research-Ekonomska Istraživanja 24, no. 1 (2011): 82–94. http://dx.doi.org/10.1080/1331677x.2011.11517446.

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Pukšec, Tomislav, Goran Krajačić, Zoran Lulić, Brian Vad Mathiesen, and Neven Duić. "Forecasting long-term energy demand of Croatian transport sector." Energy 57 (August 2013): 169–76. http://dx.doi.org/10.1016/j.energy.2013.04.071.

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Sun, Shi Chao, Zheng Yu Duan, and Chuan Chen. "Freight Transport Demand Forecasting in Urban Logistics Planning: A Case Study of Yiwu City." Applied Mechanics and Materials 505-506 (January 2014): 915–21. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.915.

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Freight transport demand forecasting as one of the basis in urban logistics planning, is not only an important premise of designing a variety of logistics development policies and infrastructure constructions, but also a key indicator to measure whether the logistics planning is reasonable. This paper addresses the methods of the freight transport demand forecasting in urban logistics planning based on a case study of Yiwu city. Considering the change of long-term trend emphatically, conventional trend extrapolation method, regression analysis method, elasticity coefficient method, linear expo
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Jugović, Alen, Svjetlana Hess, and Tanja Poletan Jugović. "Traffic Demand Forecasting for Port Services." PROMET - Traffic&Transportation 23, no. 1 (2012): 59–69. http://dx.doi.org/10.7307/ptt.v23i1.149.

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Successful management of any sea port depends primarily on the harmonisation of transport supply and demand, whereas their incompatibility leads to a number of problems. The port, i.e. its management, through its operation and part of port policy may affect the planning of the construction or modernization of its port facilities. In doing so, the specified planning requires forecasting and quantification of the needs for infrastructural services of specified port, i.e. assessment of traffic demand. Accordingly, the basic problem of research in this paper is forecasting of traffic demand for th
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Liu, Xiao Na, Jian Jun Wang, and Teng Fei Zhang. "A Method of Bike Sharing Demand Forecasting." Applied Mechanics and Materials 587-589 (July 2014): 1813–16. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.1813.

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Bike sharing system is an important part of urban public transport system, mainly to undertake the function of connection and transfer with bus system, and connection with private car and satisfy the demand of citizen short-distance travel, and other functions. Setting bike sharing rental point is according to the planning of urban comprehensive transportation, using data on the residents travel , including travel rate, traffic structure, etc. and then to predict the proportion of future bike sharing to the total amount of travel, finally obtain bike sharing overall scale combining Bike sharin
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Dissertations / Theses on the topic "Transport demand forecasting"

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Dasigi, Shalini. "An Integrated Approach Linking Land Use and Socioeconomic Characteristics for Improving Travel Demand Forecasting." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427798330.

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Larsson, Felix, and Robin Linna. "An Analysis of Passenger Demand Forecast Evaluation Methods." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139942.

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In the field of aviation forecasting is used, among other things, to determine the number of passengers to expect for each flight. This is beneficial in the practice of revenue management, as the forecast is used as a base when setting the price for each flight. In this study, a forecast evaluation has been done on seven different routes with a total of 61 different flights, using four different methods. These are: Mean Absolute Scaled Error (MASE), Mean Absolute Percentage Error (MAPE), Tracking Signal, and a goodness of fit test to determine if the forecast errors are normally distributed. T
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Yazici, Riza Onur. "Air Passenger Demand Forecasting For Planned Airports, Case Study: Zafer And Or-gi Airports In Turkey." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12612933/index.pdf.

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The economic evaluation of a new airport investment requires the use of estimated future air passenger demand.Today it is well known that air passenger demand is basicly dependent on various socioeconomic factors of the country and the region where the planned airport would serve. This study is focused on estimating the future air passenger demand for planned airports in Turkey where the historical air passsenger data is not available.For these purposses, neural networks and multi-linear regression were used to develop forecasting models. As independent variables,twelve socioeconomic parameter
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Alm, Jonathan, and Kiöhling Marcus von. "Lagerstyrningsmetoders påverkan på totalkostnad : Möjliga ufall för lager med säsongsvarierad efterfrågan." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Logistik och verksamhetsledning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-45423.

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Purpose – To analyze the impact on total cost by inventory control methods under the influence of seasonal demand. The purpose will be answered with following research questions: What inventory control methods can be used when there is seasonal demand? What is the impact of inventory control methods on total cost under the influence of seasonal demand? Method – The study was conducted as a case study and the empirical data was collected through interviews and document study. Both of these contributed to the basis for the analysis and for the calculations in the test of the study. Literature
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Camilleri, Pierre. "What future for electric light commercial vehicles ? : a prospective economic and operational analysis of electric vans for business users, with a focus on urban freight." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1105/document.

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Le marché des véhicules électriques est animé par une dynamique très positive. Il s'agit cependant essentiellement d'un marché de niche. Il est donc légitime de s’interroger quant à son avenir.D'une part, cette dynamique est portée par de fortes préoccupations environnementales et bénéficie d'un large soutien des autorités publiques. Les constructeurs automobiles ont ces dernières années fortement investi dans cette technologie, les progrès technologiques sont rapides et offrent des perspectives intéressantes.D'autre part, des subventions conséquentes sont aujourd’hui nécessaires pour permettr
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金森, 亮., Ryo KANAMORI, 富生 三輪, Tomio MIWA, 高行 森川 та Takayuki MORIKAWA. "都市圏レベルの交通需要予測手法の違いによる予測値の差の検証－確率的統合均衡モデルと非集計モデルの比較－". 日本都市計画学会, 2007. http://hdl.handle.net/2237/10028.

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Lewe, Jung-Ho. "An Integrated Decision-Making Framework for Transportation Architectures: Application to Aviation Systems Design." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-04132005-204114/unrestricted/Jung-Ho%5FLewe%5F200505%5Fphd.pdf.

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Thesis (Ph. D.)--Aerospace Engineering, Georgia Institute of Technology, 2005.<br>Amy R. Pritchett, Committee Member ; Moore, Mark D., Committee Member ; Wilhite, Alan, Committee Member ; Schrage, Daniel P., Committee Chair ; Mavris, Dimitri N., Committee Co-Chair ; DeLaurentis, Daniel A., Committee Member. Vita. Includes bibliographical references.
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Chevrolet, Dominique. "Deux études de transport urbain : ordonnancement des phases d'un carrefour, modèles désagrégés de déplacements dans l'agglomération grenobloise." Phd thesis, Grenoble 1, 1986. http://tel.archives-ouvertes.fr/tel-00321160.

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La première partie de la thèse est consacrée au problème de la gestion des feux tricolore d'un carrefour, et la deuxième partie s'inscrit dans le cadre plus général de la modélisation des déplacements urbains
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Silva, Mateus Araujo e. "Verificação da aplicabilidade da técnica de mineração de dados na previsão da demanda por transporte de passageiros urbanos usando dados da região metropolitana de São Paulo." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-11052006-102320/.

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O objetivo desta pesquisa é validar a hipótese de que o minerador de dados pode ser utilizado como uma ferramenta para previsão dos padrões de viagens, inclusive sob mudança comportamental dos indivíduos. Para o desenvolvimento deste trabalho foi adotada uma postura científica indutiva, utilizando como dados as informações contidas nas duas pesquisas origem-destino realizadas em 1987 e 1997 pelo METRÔ-SP na região metropolitana de São Paulo (RMSP). Os dados da primeira pesquisa e as mudanças comportamentais dos indivíduos observadas no período de 1987 a 1997 forneceram as condições para elabor
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Martins, Hugo José Santos. "Análise do ajustamento da oferta à procura na indústria da pastelaria." Master's thesis, Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/11347.

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Mestrado em Gestão e Estratégia Industrial<br>Este estudo pretende analisar a forma como o ajustamento da oferta à procura pode ser feito numa indústria tão imprevisível como é a da Pastelaria com o objetivo de reduzir o número de sobras sem agravar as ocorrências de stockout. No primeiro momento é realizado um estudo aprofundado da realidade bibliográfica que fundamenta todo o trabalho prático. Numa segunda fase, através da recolha de dados feita a priori, procede-se à elaboração do modelo de previsão e, para complementá-lo, é feito o estudo da realização do transporte que vai permitir o reaj
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Books on the topic "Transport demand forecasting"

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Tiwari, Geetam. Forecasting travel demand by non-motorised transport. Transportation Research and Injury Prevention Programme, Indian Institute of Technology, Delhi, 2013.

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Hill, Eileen. Forecasting public transport demand: The demographic dimension. Transport Studies Unit, Oxford University, 1990.

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James, Fox. Review of RAND Europe's transport demand model systems. RAND, 2003.

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Trujillo, Lourdes. Forecasting the demand for privatized transport: What economic regulators should know and why. World Bank, World Bank Institute, Governance, Regulation, and Finance Division, 2000.

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Chalamwong, Yongyuth. Forecast of demographic and macroeconomic parameters for transport demand in Thailand and neighboring countries: Final report. Thailand Development Research Institute Foundation, 1995.

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Alberta. Transportation industry. [Government of] Alberta, 2006.

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Modeling of Transport Demand: Analyzing, Calculating, and Forecasting Transport Demand. Elsevier, 2018.

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Transport sector strategy study for Indonesia, demand forecasting: Briefing note. Government of The Republic of Indonesia, Ministry of Communications, Directorate General of Land Communication, 1999.

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Ming, Zhang, ed. Methodology development of forecasting inter-regional air transport demand in China. Deutsche Forschungsanstalt für Luft- und Raumfahrt, 1993.

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Estache, Antonio, Lourdes Trujillo, and Emile Quinet. Forecasting the Demand for Privatized Transport: What Economic Regulators Should Know, and Why. The World Bank, 2000. http://dx.doi.org/10.1596/1813-9450-2446.

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Book chapters on the topic "Transport demand forecasting"

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Bates, John. "Forecasting the demand for transport." In The Routledge Handbook of Transport Economics. Routledge, 2017. http://dx.doi.org/10.4324/9781315726786-11.

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Beser, Muriel, and Staffan Algers. "SAMPERS — The New Swedish National Travel Demand Forecasting Tool." In National Transport Models. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04853-5_9.

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Jacob, Maria, Cláudia Neves, and Danica Vukadinović Greetham. "Short Term Load Forecasting." In Forecasting and Assessing Risk of Individual Electricity Peaks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28669-9_2.

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Abstract Electrification of transport and heating, and the integration of low carbon technologies (LCT) is driving the need to know when and how much electricity is being consumed and generated by consumers. It is also important to know what external factors influence individual electricity demand.
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Correia, Ricardo, Tânia Fontes, and José Luís Borges. "Forecasting of Urban Public Transport Demand Based on Weather Conditions." In Advances in Mobility-as-a-Service Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61075-3_8.

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"Forecasting Air Transport Demand." In Airport Engineering. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470950074.ch2.

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Milenković, Miloš, and Nebojša Bojović. "Railway Demand Forecasting." In Advances in Civil and Industrial Engineering. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0084-1.ch005.

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Forecasting represents an indispensable activity in railway transportation planning. Forecasting of demand levels is vital to the railway company as a whole as it provides the basic input for the planning and control of all functional areas including railway transport operations planning, marketing and finance. Demand levels and the timing of their appearance (on a day, week, month or seasonal basis) greatly effects capacity levels, financial needs and general structure of the business.Forecasting employs historical data and uses various forecasting methods to make accurate estimates of future demands. Forecasting approaches can be generally divided into two categories: econometric or causal and time series techniques. In this chapter a comprehensive review of methods belonging to these two broad classes will be made. Special emphasis will be given to the application of these techniques to railway demand modeling.
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Goodwin, Phil. "Forecasting road traffic and its significance for transport policy." In Transport Matters. Policy Press, 2019. http://dx.doi.org/10.1332/policypress/9781447329558.003.0007.

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Traffic forecasting developed initially to decide how much road capacity to provide, but early methods tended to underestimate the growth. The methods were changed but then from the late 1980s systematically overestimated traffic growth, distorting the appraisal of benefits, and transforming the policy implications: it became evident that no feasible road capacity expansion would be enough to cope with the forecast traffic, and it would be necessary to manage demand instead. Since 2015 the official forecasts have sensibly avoided specifying a ‘most probable’ future, replacing it with a variety of different possibilities from almost no growth to exceedingly high. This creates a framework for a much more useful type of policy appraisal, though practical road proposals mostly still confidently assert high traffic growth at levels which have not been seen for over 25 years.
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"The Theory and Practice of Disaggregate Demand Forecasting for Various Modes of Urban Transportation." In Transport Economics. Routledge, 2005. http://dx.doi.org/10.4324/9780203985359-11.

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Bao, Qiong, Bruno Kochan, Tom Bellemans, Davy Janssens, and Geert Wets. "Activity-Based Travel Demand Forecasting Using Micro-Simulation." In Data Science and Simulation in Transportation Research. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4920-0.ch009.

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Activity-based models of travel demand employ in most cases a micro-simulation approach, thereby inevitably including a stochastic error that is caused by the statistical distributions of random components. As a result, running a transport micro-simulation model several times with the same input will generate different outputs. In order to take the variation of outputs in each model run into account, a common approach is to run the model multiple times and to use the average value of the results. The question then becomes: What is the minimum number of model runs required to reach a stable result? In this chapter, systematic experiments are carried out by using the FEATHERS, an activity-based micro-simulation modeling framework currently implemented for Flanders (Belgium). Six levels of geographic detail are taken into account, which are building block level, subzone level, zone level, superzone level, province level, and the whole Flanders. Three travel indices (i.e., the average daily number of activities per person, the average daily number of trips per person, and the average daily distance travelled per person), as well as their corresponding segmentations with respect to socio-demographic variables, transport mode alternatives, and activity types are calculated by running the model 100 times. The results show that application of the FEATHERS at a highly aggregated level only requires limited model runs. However, when a more disaggregated level is considered (the degree of the aggregation here not only refers to the size of the geographical scale, but also to the detailed extent of the index), a larger number of model runs is needed to ensure confidence of a certain percentile of zones at this level to be stable. The values listed in this chapter can be consulted as a reference for those who plan to use the FEATHERS framework, while for the other activity-based models the methodology proposed in this chapter can be repeated.
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Tesfay, Yohannes Yebabe. "Stochastic Evaluation of Capacity and Demand Management of the Airline Industry." In Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5357-2.ch004.

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In the airline industry, the term load factor defined as the percentage of seats filled by revenue passengers and is used to measure efficiency and performance. This metric evaluates the airlines capacity and demand management. This paper applies stochastic models to analyse the load factor of the Association European Airlines (AEA) for flights of Europe - North Africa and Europe- Sub Saharan Africa. The estimation result prevails that the airlines have better demand management in the flights of Europe- Sub Saharan Africa than in the flight of Europe - North Africa. However, the capacity management of the airlines is poor for both regional flights. The autocorrelation structures for the load factor for both regional flights have both periodic and serial correlations. Consequently, the use of ordinal panel data models is inappropriate to capture the necessary variation of the load factor of the regional flights. Therefore, in order to control for the periodic autocorrelation, the author introduces dynamic time effects panel data regression model. Furthermore, in order to eliminate serial correlation the author applies the Prais–Winsten methodology to fit the model. Finally, the author builds realistic and robust forecasting model of the load factor of the Europe- North Africa and Europe-Sub Saharan Africa flights.
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Conference papers on the topic "Transport demand forecasting"

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Horvath, B. "Forecasting of travel demand in urban public transport." In 2012 IEEE 16th International Conference on Intelligent Engineering Systems (INES). IEEE, 2012. http://dx.doi.org/10.1109/ines.2012.6249851.

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Lu, Huapu, Huilan Guo, and Hong Yuan. "External Transport Demand Forecasting and Planning of Macau." In Second International Conference on Transportation and Traffic Studies (ICTTS ). American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40503(277)60.

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Zedgenizov, Anton. "Location-based transport demand forecasting methods for suburbanized areas." In International Conference "Aviamechanical engineering and transport" (AVENT 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/avent-18.2018.88.

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Li, Yanhong, Zhenzhou Yuan, Shouhua Cao, Ying Ding, and Peifeng Hu. "Application of Combined Traffic Demand Forecasting for Comprehensive Transport Corridor." In 2008 Fourth International Conference on Networked Computing and Advanced Information Management (NCM). IEEE, 2008. http://dx.doi.org/10.1109/ncm.2008.143.

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Phan, Hoang Nam, Xia Luo, and Lei Lei. "Traffic Demand Forecasting for Kunming-Haiphong Transport Corridor (Hanoi — Laocai Expressway)." In Second International Conference on Transportation Engineering. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)528.

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Hart, Martin, Marek Tomastik, and Romana Heinzova. "The methodology of demand forecasting system creation in an industrial company the foundation to logistics management." In 2015 4th International Conference on Advanced Logistics and Transport (ICALT). IEEE, 2015. http://dx.doi.org/10.1109/icadlt.2015.7136583.

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Quevedo, J., J. Saludes, V. Puig, and J. Blanch. "Short-term demand forecasting for real-time operational control of the Barcelona water transport network." In 2014 22nd Mediterranean Conference of Control and Automation (MED). IEEE, 2014. http://dx.doi.org/10.1109/med.2014.6961503.

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Moscoso López, Jose-Antonio. "Short-term forecasting of intermodal freight using ANNs and SVR: Case of the Port of Algeciras Bay." In CIT2016. Congreso de Ingeniería del Transporte. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.3464.

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Forecasting of future intermodal traffic demand is very important for decision making in ports operations management. The use of accurate prediction tools is an issue that awakens a lot of interest among transport researchers. Intermodal freight forecasting plays an important role in ports management and in the planning of the principal port activities. Hence, the study is carried out under the motivation of knowing that modeling the freight transport flows could facilitate the management of the infrastructure and optimize the resources of the ports facilities. The use of advanced models for f
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Taghizadeh, M. R., H. G. Shakouri, M. B. Menhaj, M. R. Mehregan, and A. Kazemi. "Design of a multi-level fuzzy linear regression model for forecasting transport energy demand: A case study of Iran." In Industrial Engineering (CIE39). IEEE, 2009. http://dx.doi.org/10.1109/iccie.2009.5223766.

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Ionita, Mariana, Alfonso Gautieri, Emiliano Votta, and Alberto Redaelli. "A Molecular Modelling Approach for Designing Bioartificial Membranes for Clinical Use With Tailored Transport Properties." In ASME 2007 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2007. http://dx.doi.org/10.1115/sbc2007-176371.

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There has been a demand for hemodialysis membranes with better biocompatibility, the use of which would reduce the incidence of complications in patients who have been under long hemodialysis treatment. Recently, highly biocompatible membranes have been obtained by blending synthetic and polymers [1]. Specifically, poly(vinyl-alcohol) (PVA) and poly(acrylic acid) (PAA) have been combined with chitosan (Chi) and dextran (Dex) to create a biomaterials with excellent biocompatibility and mechanical properties. In this work we present a computational method based on molecular mechanics (MM) and dy
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