Relevant bibliographies by topics / Demand Survey

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

Academic literature on the topic 'Demand Survey'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 June 2025

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Journal articles on the topic "Demand Survey"

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CLEMENTS, KENNETH W., ANTONY SELVANATHAN, and SAROJA SELVANATHAN. "Applied Demand Analysis: A Survey." Economic Record 72, no. 216 (1996): 63–81. http://dx.doi.org/10.1111/j.1475-4932.1996.tb02609.x.

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Korimilli, Madhuri S., Ram M. Pendyala, and Elaine Murakami. "Metaanalysis of Travel Survey Methods." Transportation Research Record: Journal of the Transportation Research Board 1625, no. 1 (1998): 72–78. http://dx.doi.org/10.3141/1625-09.

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Travel surveys often serve as the primary sources of information on travel demand characteristics. They provide critical data for transportation planning and decision making. In recent times, several factors motivate a comparative examination of travel survey methods. First, new travel demand modeling tools, such as those based on activity-based methods, are placing greater demands on travel behavior data gathered from household travel surveys. Second, response rates from household travel surveys have been showing a steady decline, possibly because of an increasingly survey-fatigued population. Third, declining resource availability at metropolitan planning agencies places emphasis on the need to maximize response rates to lower data collection costs per completed respondent. Ideally, a comparative examination of travel survey methods is best done through a carefully constructed experimental design that permits the isolation of the impact of various survey design parameters on response rates. However, the conduct of such a controlled experiment virtually is impractical. A metaanalysis of a sample of travel surveys conducted in the past 10 years is presented. A predictive model of response rates is developed by using linear regression techniques and the practical application of the model is demonstrated through several numerical examples.
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Marinov, Marin, Anna Fraszczyk, Tom Zunder, et al. "A supply-demand study of practice in rail logistics higher education." Journal of Transport Literature 7, no. 2 (2013): 338–51. http://dx.doi.org/10.1590/s2238-10312013000200018.

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This paper includes a study conducted to analyse the current state of supply and demand for higher education in rail logistics. More specifically the study presented consists of two surveys, as follows. The first survey, Supply Survey, explores existing transport and logistics-related courses and educational programmes offered in higher education institutions. The second survey, Demand Survey, examines demands for rail logistics higher education and aims to understand the current needs for higher education in the sector. This paper shows that a spectrum of rail, freight transport and logistics related courses and programmes exist, however there is a strong need for a more specific training and education offering operations management skills needed to improve the company performance, efficiency and quality of service provided.
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Kyonghee Han. "Who demands the Survey of Industry Demand?: Paradox of Demand-Based Engineering Education Under Catch-up Paradigm." Journal of Engineering Education Research 19, no. 4 (2016): 72–82. http://dx.doi.org/10.18108/jeer.2016.19.4.72.

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Buics, László, Alex Suta, and Márk Szalay. "On-demand transportation in promoting sustainable urban mobility: A systematic literature review and survey analysis." Journal of Infrastructure, Policy and Development 9, no. 2 (2025): 10010. https://doi.org/10.24294/jipd10010.

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The concept of sustainable urban mobility has gained increasing attention in recent years due to the challenges posed by rapid urbanization and environmental degradation. The objective of this study is to explore the role of on-demand transportation in promoting sustainable urban mobility, incorporating insights from customer interests and demands through survey analysis. To fulfill this objective, a mixed-methods approach was employed, combining a systematic literature review with survey analysis of customer interests and demands regarding on-demand transportation services. This study combines a systematic literature review and a targeted survey to provide a comprehensive analysis of sustainable urban mobility, addressing gaps in understanding customer preferences alongside technological and financial considerations. The literature review encompassed various aspects including technological advancements, regulatory frameworks, user preferences, and environmental impacts. The survey analysis involved collecting data on customer preferences, satisfaction levels, and suggestions for improving on-demand transportation services. The findings of the study revealed significant insights into customer interests and demands regarding on-demand transportation services. Analysis of survey data indicated that factors such as convenience, affordability, reliability, and environmental sustainability were key considerations for customers when choosing on-demand transportation options. Additionally, the survey identified specific areas for improvement, including service coverage, accessibility, and integration with existing transportation networks. By providing flexible, efficient, and environmentally friendly transportation options, on-demand services have the potential to reduce congestions, improve air quality, and enhance overall urban livability.
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Dahl, Carol, and Thomas Sterner. "Analysing gasoline demand elasticities: a survey." Energy Economics 13, no. 3 (1991): 203–10. http://dx.doi.org/10.1016/0140-9883(91)90021-q.

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Dr, Debasish Das, Saikat Deb Dr., Saha Diptanu, Sharma Sagar, and Mondal Puspendu. "Transit Oriented CBDs helps to Mitigate On-Street Parking Demand for 4-wheelers: A Review." Journal of Transportation Engineering and Traffic Management 2, no. 1 (2021): 1–18. https://doi.org/10.5281/zenodo.4836169.

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Shortage of parking space in the urban Central Business District (CBD) is the common problem worldwide. The parking demand is more than the supply in all categories of cities in India. Managing this parking demand is a very important issue in transportation planning, especially for metropolitan cities. Due to lack of off-street parking system in the CBD area, visitors are forced to park their vehicle in on-street, which decreases the effective carriageway width, vehicular speed, free flow, unwanted congestion, and unwanted delay etc. Traffic congestion can be reduced by controlling the on-street parking. The objective of this paper is to estimate on-street parking demand and manage this demand by probable mode shift from private car to transit. Based on literature survey, parameters like land use, land value, vehicle ownership, parking fees, walking distance from parking place to destination, waiting time, searching time etc. are important to assess parking demand. Some surveys techniques, like in-out survey, license plate survey, questionnaire survey, video graphic survey methods etc. have been used to find out those parameters.
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Ergun, Sevgi, and Suleyman Sahin. "LITERATURE SURVEY ABAUT DEMAND FORECASTING IN INDUSTRY." Ulakbilge Dergisi 5, no. 10 (2017): 469–87. http://dx.doi.org/10.7816/ulakbilge-05-10-11.

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Bent, Dale H., and Jim S. McLachlan. "Demand for Information Managers: a Canadian survey." Education for Information 12, no. 4 (1994): 451–62. http://dx.doi.org/10.3233/efi-1994-12405.

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Siano, Pierluigi. "Demand response and smart grids—A survey." Renewable and Sustainable Energy Reviews 30 (February 2014): 461–78. http://dx.doi.org/10.1016/j.rser.2013.10.022.

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Dissertations / Theses on the topic "Demand Survey"

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Zubimendi, Leire. "Survey on video-on-demand broadcasting protocols." Zürich : ETH, Swiss Federal Institute of Technology Zurich, Department of Computer Science, Institute for Pervasive Computing, Information and Communication Systems Research Group, 2008. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=361.

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Esteves, Mario Augusto Matos Simon [UNESP]. "Gerencimento da demanda: um survey na cadeia de suprimentos automotiva brasileira." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/146741.

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Submitted by MARIO AUGUSTO MATOS SIMON ESTEVES (marioaugustoesteves@gmail.com) on 2016-12-21T01:17:05Z No. of bitstreams: 1 Dissertacao de Mestrado - Mario Esteves - Final.pdf: 3642994 bytes, checksum: 14617df83472dcb04e1f218abfd26cd4 (MD5)<br>Approved for entry into archive by Felipe Augusto Arakaki (arakaki@reitoria.unesp.br) on 2016-12-22T12:43:08Z (GMT) No. of bitstreams: 1 esteves_mams_me_guara.pdf: 3642994 bytes, checksum: 14617df83472dcb04e1f218abfd26cd4 (MD5)<br>Made available in DSpace on 2016-12-22T12:43:08Z (GMT). No. of bitstreams: 1 esteves_mams_me_guara.pdf: 3642994 bytes, checksum: 14617df83472dcb04e1f218abfd26cd4 (MD5) Previous issue date: 2016-10-21<br>Com o contínuo crescimento da competitividade global, o grande desafio é trabalhar de forma enxuta, mas sem prejudicar o nível de serviço ao cliente. Para isso, busca-se uma rápida e adequada integração das necessidades do mercado na direção dos fornecedores, de modo a balancear e alinhar estrategicamente a demanda com a capacidade operacional ao longo de toda a cadeia de suprimentos. Para a presente pesquisa, utilizou-se levantamento do tipo survey, e o objetivo geral é verificar o panorama atual das práticas de Gestão de Demanda e Previsão de Demanda nas indústrias da Cadeia de Suprimentos Automotiva Brasileira, identificando as principais práticas utilizadas e as principais dificuldades relacionadas à execução dos processos de gestão e previsão de demanda, bem como as consequências causadas pelas variações e incertezas de demanda. Para tanto, com base na revisão da literatura e no método hipotético dedutivo de Popper, foi elaborado um questionário que foi respondido por 37 empresas da cadeia de suprimento automotiva dos mais diversos setores. Os resultados mostram que as empresas da cadeira de suprimento automotiva fazem uso com predominância de técnicas mais simples como opiniões de executivos e da equipe de vendas e utilização de médias móveis. A falta de disponibilidade de dados, a necessidade de capacitação e treinamento da equipe e a deficiencia no conhecimento dos modelos e ferramentas de previsão de demanda aparecem como as maiores barreiras para elaboração das previsões de demanda.<br>With the continued growth of global competitiveness, the challenge is to work lean way, but without affecting the level of customer service. As a result, a quick and proper integration of the market requirements towards suppliers should be sought, in order to balance and strategically align the demand with the operational capacity along the entire supply chain. This research use the survey method and the overall objective is to find what the current situation of Demand Management and Demand Forecasting practices in the industries of Brazilian Automotive Supply Chain, identifying the main practices and the difficulties related to the implementation of the management and demand forecasting processes, as well as those caused consequences as a result of variations and demand uncertainties. Therefore, based on the literature review and popper´s hypothetico-deductive method, it has been designed a questionnaire that was answered by 37 companies in the automotive supply chain in various sectors. The results show that companies in the automotive supply chair make use predominantly of the simplest techniques as executive and sales force opinion methods and use of moving averages. The lack of availability of data, the need of professional training and deficiency of knowledge of the models and demand forecasting tools appear as major barriers to development of demand forecasts.
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Palmer, Django. "Estimating the LES demand system using Finnish household budget survey data." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-376293.

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Börjesson, Maria. "Communication technology and travel demand models." Licentiate thesis, KTH, Infrastructure, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1640.

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<p>Transportation planners have traditionally focused onphysical travel only, and disregarded the fact that other modesof communication may influence travel demand. However, moderntelecommunications are rapidly increasing the accessibility toactivities that previously only could be reached by physicaltransportation. This development calls for methods to analyseinteractions between telecommunications and transport systems.The objective of this thesis is to accomplish a betterunderstanding of if and how impacts of information technologycould be implemented in travel demand models. An important partof this issue is to investigate what kind of data that isneeded.</p><p>This thesis also aims at investigating whether theCommunication Survey, KOM, collected by Swedish Institute forTransport and Communications, SIKA, can be used to improvetransport modelling with respect to how moderntelecommunications influence travel demand. KOM is a one-daytravel and communication diary survey, including information onthe respondents telecommuting habits as well as socio-economicstatus. One problem was the small sample size in KOM, whichmade the analyses uncertain. Since KOM is collected on a yearlybasis, it is still possible to apply similar analysis methodswithin a few years, using a larger data set, which might enableextended analyses. The small sample in KOM available to date isbest suited for general descriptive analyses of communicationpatterns in Sweden. The main conclusions of the paper aretherefore connected to the methods and future datacollection.</p><p>The thesis includes three papers. The first paper tested amodel approach that assumes substitution between travel andnon-travel based communication, using the KOM database. Traveldemand models are in general constructed as nested logit modelswith frequency, mode and destination choice levels. In thepaper, non-travel based modes of communication were included inthe choice set of such a model. The non-travel based modes ofcommunication considered were Internet (and e-mail), ordinarymail and telephone contacts. The model was developed for postand bank activities only, since that was the only activity forwhich the numbers of contacts and trips were large enough toallow model estimation. Several conclusions could be drawn.Describing the utility of the non-travel based alternatives isdifficult and needs more research. The analysisis also verysensitive to how activities are defined. It is furtheressential that the data collection is more process orientedthan traditional cross-sectional data is when analysing traveland telecommunications interactions. That is, habits ofperforming particular activities, including both trips anddifferent types of contacts, must be studied. The second andthird papers investigate telecommuting. As a first step toreach the goal of forecasting telecommuting, the second paperexamined the characteristics of current telecommuters by use ofKOM. This was mainly accomplished by estimating a telecommutingadoption model of logit type. However, only 122 employees outof 7578 actually telecommutes full days at home. Thesetelecommuters work primarily in information- and service-basedindustrial sectors concerned with computers, finance orcommunication. The difficulties in describing the utility ofthe telecommunications based alternatives (representing”no travel”) concerned also the telecommutingadoption model. Also impacts on travel from telecommuting wereinvestigated. Comparing the average commuting distance showedthat employees who exclusively telecommute full days havelonger commuting distances than others, but that othertelecommuters do not have longer average commuting distances.Telecommuting in general does not seem to be influenced by lowaccessibility to the labour market.</p><p>The third paper used data collected from a working sitewithin the company Ericsson, located in the office district ofNacka Strand in Stockholm during the autumn 2002. Thetelecommuting frequency was substantially higher at Ericssonthan in the workforce as a whole. The propensity to adopttelecommuting was modelled as a function of socio-economicvariables and access to technical equipment, work tasksuitability and management attitudes, as perceived by theemployees. The focuswas to identify tools that the company canuse to promote telecommuting, and to find incentives for thecompany to promote telecommuting. Technical equipment, suitablework tasks and managers attitude were identified as constraintsfor telecommuting. The employees also perceived that theybecame more efficient and saved time when telecommuting.</p>
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Cox, Nathanael Christopher James. "Estimating demand for new modes of transportation using a context-aware stated preference survey." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99588.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 123-129).<br>This thesis presents the design of a context-aware stated preference survey that will be used to estimate the demand for new transportation modes and services. It builds on the Future Mobility Survey, a smartphone-based prompted-recall survey that accurately gathers revealed preference information on respondents' travel patterns. By using this GPS data as the context for a hypothetical stated preference survey, we can present realistic travel scenarios to respondents that pivot off their actual behavior. The approach is the first of its kind to combine GPS and external data to generate hypothetical scenarios for a large number of modes. It does this by making use of freely available web services to gather information on travel times and distances on many modes, which then informs the presentation of these modes in the hypothetical scenario. The travel scenario is presented using a web interface that mimics trip-planning software, and the software can be readily applied across different cities and countries.<br>by Nathanael Christopher James Cox.<br>S.M. in Transportation
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Errabi, Khalid. "« Demand-Pull » ou « Technology-Push » : survey de la littérature récente et nouveaux tests économétriques." Thesis, Lyon 2, 2009. http://www.theses.fr/2009LYO22005/document.

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Cette thèse s’inscrit au croisement de plusieurs domaines de la recherche économique de l’innovation. Notre démarche fait appel à des résultats empiriques issus de l’économétrie de l’innovation. Pour étudier la relation entre innovation et demande, l’outil le plus adapté nous semble être le modèle de la croissance endogène fondé sur l’innovation par opposition au modèle de la croissance exogène. La nature et la direction de cette relation ont été explorées par différents courants économiques qui peuvent être classés selon deux grandes écoles. Les premiers sont les tenants de la thèse dite de la poussée technologique de l’innovation (« Technology-Push Innovation ») que l’on peut considérer très globalement comme « tirés » par les travaux de Joseph Schumpeter. Les seconds sont les tenants de l’approche dite de l’impulsion par la demande de l’innovation (« Demand-Pull Innovation ») dont les travaux pionniers ont été baptisés par Jacob Schmookler. Les travaux de Kleinknecht et Verspagen (1990) nous ont fortement inspiré pour démarrer cette thèse. Notre démarche constitue un prolongement et une complexification de leur analyse. En effet, l’objectif de cette thèse est double : monter que la relation entre innovation et demande n’est pas unidirectionnelle et, ce constat vérifié, examiner la possibilité d’étudier l’hétérogénéité des industries au sens de ces deux approches en fonction de leurs niveaux technologiques.Il nous semble que notre travail contribue à la compréhension des déterminants de l’innovation tels qu’ils ressortent de la controverse « Demand-Pull » versus « Technology-push », de trois façons :1) En proposant un survey problématisé de la littérature sur l’innovation,2) En présentant de façon originale des données sur la R&amp;D et la productivité des industries des pays de l’OCDE,3) En suggérant que les modèles à correction d’erreur, maintenant très bien maîtrisés, peuvent apporter d’utiles éclairages à la question des modèles d’innovation (« Demand-Pull » versus « Technology-push »)<br>This thesis is at the intersection of several fields of economic research of innovation. Our approach uses empirical results from the econometrics of innovation. To study the relationship between innovation and demand, the most suitable seems to be the endogenous growth model based on innovation as opposed to the exogenous growth model. The nature and the direction of this relationship have been explored by various economic flows that can be classified into two major schools. The first are the proponents of so-called “Technology-Push Innovation” which may be regarded very broadly as “learned” by the work of Joseph Schumpeter. The latter are the proponents of the approach “Demand-Pull Innovation”, whose pioneering works have been baptized by Jacob Schmookler.The works of Kleinknecht and Verspagen (1990) have greatly inspired us to start this thesis. Our approach is an extension of this analysis. The purpose of this thesis is twofold: 1) showing that the relationship between innovation and demand is not unidirectional, 2) and this finding verified, examining the heterogeneity of industries within the meaning of these two approaches based on their technology levels.It seems to us that our work contributes to understanding the determinants of innovation as they emerge from the controversy “Demand-Pull” versus “Technology-push”, in three ways: 1) By offering a problematized survey of the literature on innovation, 2) By presenting, in an original way, data on R&amp;D and productivity of industries in OECD countries, 3) By suggesting that the error correction models, now very well controlled, can provide useful insights to the issue of innovation models (“Demand-Pull” versus “Technology-push”)
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Hrabovsky, Ellen E. "Global demand for certified hardwood products as determined from a survey of hardwood exporters." Morgantown, W. Va. : [West Virginia University Libraries], 2003. http://etd.wvu.edu/templates/showETD.cfm?recnum=3074.

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Thesis (M.S.)--West Virginia University, 2003.<br>Title from document title page. Document formatted into pages; contains ix, 61 p. : ill. (some col.), col. map. Vita. Includes abstract. Includes bibliographical references (p. 28-30).
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Jameson, Alan. "Obstacles and Opportunities for Microcredit Companies Developing in the Countryside." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1253543053.

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Fuchs, Alexander J. "San Luis Obispo Regional Transit Authority: Recommendations for Future Service Demand." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1011.

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Transit agencies at all levels of government monitor trends in services, operations, and ridership using performance indicators. Federal and state agencies use these performance indicators in the appropriation of funds to transit agencies. Public transportation is subsidized through federal, state and local programs while only a portion of the operating expenses are covered through rider fares. In order to gather information on riders and travel patterns, transit agencies primarily focus on current transit riders, many of which are transit dependent populations. By definition, these populations use public transit services as the primary or only means of transportation. As a result, this offers limited opportunity for ridership growth among transit dependent populations. One segment of a population that offers high opportunity for ridership growth is commuters. A commuter is considered a worker that travels from home to work on a regular basis. However, in the case of commuter oriented transit services, it is important to survey non-riders so that any new services will have the greatest potential of increasing ridership among commuters. This report explores the potential commuter demand for additional or express bus services provided by San Luis Obispo Regional Transit Authority (RTA). RTA operates countywide fixed-route bus services and para-transit services for San Luis Obispo County. This report focuses on RTA’s Route 9, which operates between the North County and the Central County. In order to collect data from non-riders, electronics survey instruments were created and distributed using employer e-mail addresses. The survey instruments were sent to three major employers in San Luis Obispo County: California State University, San Luis Obispo (Cal Poly), the City of San Luis Obispo, and the County of San Luis Obispo. A link to one of the surveys instruments was also included on San Luis Obispo Council of Government’s (SLOCOG) Rideshare’s March 2013 e-newsletter as a way to reach additional non-riders. Analysis of the survey responses resulted in the recommendations to RTA. Recommendations are separated into two categories: (1) Expansion of RTA Route 9 services and (2) Future RTA non-rider outreach.
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VIDALAKIS, LYCURGO. "Observing travel behaviour from GPS data - A tool comparison survey in the Torino metropolitan area." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2507454.

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Travel surveys help researchers to paint a clear picture of specific aspects of travel behaviour. In the transport field, data quality is largely dictated by the data requirements of mathematical models, and by the rising complexity of individuals' travel behaviour. Beginning with an illustration of the most common transport models, this thesis will first present an overview of traditional survey tools, in order to understand their structural biases and current developments in the transport survey field. One of the recent solutions to common data collection problems has been the implementation of passive data collection tools in household and personal travel surveys. Passive data collection tools allow researchers to derive travel behaviour information from positional and navigational data, collected with devices that use location-aware technologies, such as GPS, GSM, and RFid. Passive data collection tools – in particular, GPS devices – have proven useful in household and personal travel surveys, and have shown themselves capable of providing researchers with high-quality travel data. The objective of this research is to evaluate the use of GPS as a survey tool in household and personal travel surveys. Technological advances and decreasing costs have helped GPS to achieve wide use in the survey field. Furthermore, GPS-equipped devices allow surveyors to collect high-quality data on the time and position of individuals and vehicles – data that are more difficult to ascertain using traditional survey tools, such as self-administered questionnaires and telephonic interviews. A research team at the Politecnico di Torino designed and carried out a multi-instrumental personal travel survey, in order to assess the context-specific problems of a GPS-based survey in the metropolitan area of Torino. Survey methods included both a paper-and-pencil travel diary, and locational data collected using GPS devices. The survey effort consisted of a 4-day pilot survey with a sample of 4 individuals, and a successive 14-day GPS survey with a sample of 8 individuals. Results from self-administered travel diaries and GPS-derived data provided surveyors with valuable data for assessing the quality and completeness of travel information, and for determining the data’s ability to accurately describe respondents’ travel behaviour. The final outcomes of the GPS survey effort and of supplementary passive data collection tests allowed researchers to identify strengths and weaknesses of the implementation of passive data collection tools. Actual trends and future developments in the field will supplement the overview.
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Books on the topic "Demand Survey"

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Cormack, R. J. Higher education demand survey. Policy Research Institute, 1986.

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Association, Fitness Industry, and Pannell Kerr Associates, eds. Membership demand and retention survey. Fitness Industry Association, 1993.

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Browne, F. X. Money demand in EU countries: A survey. European Monetary Institute, 1997.

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(Firm), Savills, ed. City of London office demand survey 1986. Savills, 1986.

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Association of Research Libraries. Systems and Procedures Exchange Center., ed. On-demand survey on freezing card catalog. System and Procedures Exchange Center, Office of Management Studies, Association of Research Libraries, 1986.

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Raatschen, Willigert. Demand controlled ventilating systems: Sensor market survey. Swedish Council for Building Research, 1992.

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A, Miller B., Plexus Research Inc, Electric Power Research Institute, and Scientific Communications Inc, eds. 1992 survey of utility demand-side management programs. Prepared for Electric Power Research Institute by Plexus Research, Inc., 1993.

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Klein, Roger. Estimating new product demand from biased survey data. University of Bristol, Department of Economics, 1995.

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Rengulbai, Tiffany B. Palau Visitors Authority manpower survey report, 1999. Palau Visitors Authority, 1999.

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Low, William. Modelling demand for labour and employment using survey data. Economics Programme, University of Northern British Columbia, 1996.

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Book chapters on the topic "Demand Survey"

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Takayama, Akira. "Investment Demand: A Survey." In Public and International Economics. Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-23029-7_19.

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Hawdon, David. "Short and Long-Run Crude Oil Price Expectations in 1986 — Results of a Survey." In Energy Demand. Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-09279-6_10.

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Mertens, Alexander, Katharina Schäfer, Sabine Theis, Christina Bröhl, Peter Rasche, and Matthias Wille. "Mass Survey for Demand Analysis." In Biosystems & Biorobotics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01836-8_6.

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Marušić, Zrinka, Ivan Sever, and Sanda Čorak. "Identifying Trends in Tourism Demand Using Longitudinal Survey." In Evolution of Destination Planning and Strategy. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42246-6_11.

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Taylor, Lester D. "Estimation of Theoretically Plausible Demand Functions from U.S. Consumer Expenditure Survey Data." In Consumer Demand in the United States. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0510-9_7.

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Karwe, Markus, and Jens Strüker. "A Survey on Privacy in Residential Demand Side Management Applications." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10329-7_10.

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Harvey, Adam. "2. Cost-benefit Decisions; Capability and Demand Survey; Feasibility Reports." In Micro-Hydro Design Manual. Practical Action Publishing, 1993. http://dx.doi.org/10.3362/9781780445472.002.

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Lasek, Agnieszka, Nick Cercone, and Jim Saunders. "Restaurant Sales and Customer Demand Forecasting: Literature Survey and Categorization of Methods." In Smart City 360°. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33681-7_40.

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Faiella, Ivan, and Luciano Lavecchia. "Households’ Energy Demand and Carbon Taxation in Italy." In Studies in Energy, Resource and Environmental Economics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35684-1_8.

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AbstractSince the second half of 2021, Italian households have experienced a significant increase in energy prices. Nonetheless the relevance of this issue, information on energy use and how quantity reacts to price increases is still scant and with a very limited level of disaggregation. We propose a novel methodology to estimate the demand and elasticity of electricity, heating and private transport fuels by aligning the microdata of the Italian Household Budget Survey with several external sources. These estimates can be used to assess how energy expenditure weighs on vulnerable households and the effects of a carbon tax. A carbon tax would—as expected—raise significant revenues and curb CO2 emissions but it could also have sizable regressive effects. In order to limit these undesired effects and to increase social consensus, policymakers should devise a set of suitable revenue recycling strategies.
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Ida, Takanori, Yoshiaki Ushifusa, Kenta Tanaka, Kayo Murakami, and Takunori Ishihara. "Behavioral Study of Demand Response: Web-Based Survey, Field Experiment, and Laboratory Experiment." In Economically Enabled Energy Management. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3576-5_6.

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Conference papers on the topic "Demand Survey"

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Lin, Nai-Dih, Yu-Cheng Chang, Chung-Han Yeh, and Li-Fang Huang. "Build Up the Sustainable Talent Ecosystem: An Empirical Study of Taiwan AITalent Demand Survey." In 2024 9th International STEM Education Conference (iSTEM-Ed). IEEE, 2024. http://dx.doi.org/10.1109/istem-ed62750.2024.10663136.

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Mateer, Mark W., and Kevin J. Kennelley. "Design of Platform Anode Retrofits Using Measured Structure Current Density." In CORROSION 1993. NACE International, 1993. https://doi.org/10.5006/c1993-93526.

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Abstract When designing anode retrofits for offshore structures with depleted sacrificial anode systems, the engineer usually relies on proven rules of thumb for predicting the current demand used in the design calculations. While this is a safe approach, especially in well understood areas such as the Gulf of Mexico, it often results in a very conservative, over-designed retrofit program. By using the modified Dwight's equation given in NACE RP-01-76, Appendix D, to calculate actual jacket current demand from anode potential surveys, it is possible to design a more optimum sacrificial anode retrofit. This method allows a considerable cost savings to be achieved while maintaining a significant safety factor in the design. We believe that in many cases the amount saved on the retrofit using this method can greatly exceed the cost of the jacket potential survey, especially for large structures.
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Dhage, Sudhir N., Smita K. Patil, and B. B. Meshram. "Survey on: Interactive Video-on-Demand (VoD) systems." In 2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA). IEEE, 2014. http://dx.doi.org/10.1109/cscita.2014.6839300.

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Remani, T., E. A. Jasmin, and T. P. Imthias Ahamed. "Load scheduling problems under demand response schemes: A survey." In 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2015. http://dx.doi.org/10.1109/spices.2015.7091424.

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Shoji, Yoshihiko. "Demand Survey of Stem Classes as Liberal Arts Subjects." In 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2017. http://dx.doi.org/10.1109/iiai-aai.2017.194.

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Zukhi, Mohd Zhafri Bin Mohd, and Azham Hussain. "A survey to identify the demand on cultural emoticon." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND TECHNOLOGY 2016 (ICAST’16). Author(s), 2016. http://dx.doi.org/10.1063/1.4960915.

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Chaniotakis, Emmanouil, Constantinos Antoniou, Josep Maria Salanova Grau, and Loukas Dimitriou. "Can Social Media data augment travel demand survey data?" In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2016. http://dx.doi.org/10.1109/itsc.2016.7795778.

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Boeglen, Herve, Benoi Hilt, P. Lorenz, J. Ledy, Anne-Marie Poussard, and Rodolphe Vauzelle. "A survey of V2V channel modeling for VANET simulations." In 2011 Eighth International Conference on Wireless On-demand Network Systems and Services (WONS 2011). IEEE, 2011. http://dx.doi.org/10.1109/wons.2011.5720179.

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Ali, N. Z., R. B. Ahmad, and S. A. Aljunid. "A survey on on-demand multipath routing protocol in MANETs." In 2008 International Conference on Electronic Design (ICED 2008). IEEE, 2008. http://dx.doi.org/10.1109/iced.2008.4786785.

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Zhang, Xiangyang, and Hossam Hassanein. "Video on-demand streaming on the Internet — A survey." In 2010 25th Biennial Symposium on Communications. IEEE, 2010. http://dx.doi.org/10.1109/bsc.2010.5472998.

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Reports on the topic "Demand Survey"

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Hastings, Justine, and Lydia Tejeda-Ashton. Financial Literacy, Information, and Demand Elasticity: Survey and Experimental Evidence from Mexico. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14538.

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Shrestha, B., G. Nakarmi, J. Merz, P. B. Shah, R. Weingartner, and S. Shrestha. Water and Erosion Studies of PARDYP Nepal; Water Demand and Supply Survey. International Centre for Integrated Mountain Development (ICIMOD), 2002. http://dx.doi.org/10.53055/icimod.399.

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Shrestha, B., G. Nakarmi, J. Merz, P. B. Shah, R. Weingartner, and S. Shrestha. Water and Erosion Studies of PARDYP Nepal; Water Demand and Supply Survey. International Centre for Integrated Mountain Development (ICIMOD), 2002. http://dx.doi.org/10.53055/icimod.399.

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Kramer, Berber, Subhransu Pattnaik, and Patrick S. Ward. Gender, demand for agricultural credit and digital technology: Survey evidence from Odisha. International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134958.

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Kaffenberger, Michelle, and Madhuri Agarwal. Demand-driven evidence to improve foundational learning: insights from a stakeholder survey. What Works Hub for Global Education, 2025. https://doi.org/10.35489/bsg-whatworkshubforglobaleducation-ri_2025/002.

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Bain, J. A. The role of the Geological Survey in satisfying customer demand for geosciences information. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193899.

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Cranfield, John, Paul Preckel, and Thomas Hertel. Poverty Analysis Using an International Cross-Country Demand System. GTAP Working Paper, 2006. http://dx.doi.org/10.21642/gtap.wp34.

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This paper proposes a new method for ex ante analysis of the poverty impacts arising from policy reforms. Three innovations underlie this approach. The first is the estimation of a global demand system using a combination of micro-data from household surveys, and macro-data from the International Comparisons Project. Estimation is undertaken in a manner that reconciles these two sources of information, explicitly recognizing that per capita national demands are an aggregation of the disaggregated, individual household demands. The second innovation relates to a methodology for post-estimation calibration of the global demand system, giving rise to country specific demand systems and an associated expenditure function which, when aggregated across the expenditure distribution, reproduce observed per capita budget shares exactly. The third innovation is use of the calibrated expenditure function to calculate the change in the head-count of poverty, poverty gap and squared poverty gap arising from policy reforms, where the poverty measures are derived using a unique poverty level of utility, rather than an income or expenditure-based measure. We employ these techniques with a demand system for food, other non-durables and services estimated using a combination of 1996 ICP data set and national expenditure distribution data. Calibration is demonstrated for three countries for which household survey expenditure data are utilized during estimation; namely, Indonesia, the Philippines and Thailand. To illustrate the usefulness of these calibrated models for policy analysis, we assess the impacts of an assumed five percent food price rise as might be realized in the wake of a multilateral trade agreement. Results illustrate the important role of subsistence expenditures at low per capita income levels, but of discretionary expenditure at higher per capita income levels. The welfare analysis underscores the relatively large impact of the price hike on poorer households, while a modified Foster-Greer-Thorbecke poverty measure shows that the five percent price rise has a differential effect on poverty across the three focus countries, although it increases the incidence and intensity of poverty in all three cases.
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Deane, Stephen, and Olivier Fines. CFA Institute Global Survey on Central Bank Digital Currencies. CFA Institute, 2023. http://dx.doi.org/10.56227/23.1.17.

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Argimón, Isabel, and Irene Roibás. Debt overhang, credit demand and financial conditions. Banco de España, 2023. http://dx.doi.org/10.53479/29530.

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The empirical literature on the debt overhang hypothesis has estimated the relationship between investment and leverage at the firm level, which does not allow to disentangle between a firm’s decision not to invest as it is highly indebted and its ability to obtain the necessary resources. Using annual Spanish credit data from the Central Credit Register and non-financial corporations’ annual accounts from the lntegrated Central Balance Sheet Data Office Survey for the period 2004-2019, we study the impact of corporate debt on non-financial firms’ demand for bank loans, as a proxy for their willingness to invest. We find a negative relationship between firms’ leverage and demand for bank credit, thus supporting the debt overhang hypothesis. We then study whether such relationship is affected by financial conditions and find that a reduction in short-term interest rates mitigates the effect of firms’ leverage on demand for credit.
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Schweitzer, M. Demand-Side Management and Integrated Resource Planning: Findings from a Survey of 24 Electric Utilities. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/814801.

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