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Journal articles on the topic 'Commuting demand'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Yu, Qing, Weifeng Li, Dongyuan Yang, and Haoran Zhang. "Mobile Phone Data in Urban Commuting: A Network Community Detection-Based Framework to Unveil the Spatial Structure of Commuting Demand." Journal of Advanced Transportation 2020 (November 12, 2020): 1–15. http://dx.doi.org/10.1155/2020/8835981.

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As the outcomes of rapid urbanization, the spatial separation of homes and workplaces extends the commuting distance and complicates the commuting demand of residents. To promote urban livability and sustainability, it becomes crucially important to understand the commuting patterns by decomposing and simplifying the diverse commuting demand. In this paper, a methodology framework is proposed to describe the spatial structure of commuting demand in a city using mobile phone data. Four steps are mainly included in the proposed methodology: the preprocessing of mobile phone data, the labeling of

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Sun, Honghu, Feng Zhen, and Yupei Jiang. "Study on the Characteristics of Urban Residents’ Commuting Behavior and Influencing Factors from the Perspective of Resilience Theory: Theoretical Construction and Empirical Analysis from Nanjing, China." International Journal of Environmental Research and Public Health 17, no. 5 (2020): 1475. http://dx.doi.org/10.3390/ijerph17051475.

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In the transitional period of China’s urbanization, commuting problems and demands are diversified and multi-level, so commuting research topics, viewpoints, and analysis paths should be organically combined to dynamically adapt to the complex commuting contradictions. Based on this, this paper introduces the resilience theory to improve the research paradigm of commuting behavior. Taking Nanjing, China as a case study, with the help of the survey data of commuting behavior of typical communities, this paper provides an empirical analysis of the characteristics and influencing factors of urban

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Ismail, Khairil Idham, Hanizah Mohd Yusoff, Rosnah Ismail, and Nor Kamaliana Khamis. "P-231 NEAR-COMMUTING CRASHES AND ITS INDIRECT RELATIONSHIP WITH WORK-HOME DEMANDS VIA SERIAL MEDIATORS AMONG HOSPITAL NURSES: A PLS-SEM APPROACH." Occupational Medicine 74, Supplement_1 (2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.0803.

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Abstract Introduction Near-commuting crashes among nurses were often underreported. Conversely, commuting crashes involving nurses are becoming more common worldwide. Nurses endure demanding experiences at work and at home. This demand can spill over into other areas of their lives, causing them to become overwhelmed and exhausted. The same phenomenon can occur during commuting, resulting in near-commute crashes or crashes themselves. However, evidence of the complex interplay between work-home demands and near-commuting crashes via serial mediation is limited and confined as a single mediator

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Kabdesov, Kenzhekhan, and Francis Amagoh. "Commuting, Transportation Flows and the Labor Market in Almaty." Eurasian Journal of Economic and Business Studies 3, no. 65 (2022): 77–87. http://dx.doi.org/10.47703/ejebs.v3i65.107.

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Commuting nowadays is a worldwide trend. Due to the urban development, cities become larger creating agglomerations. It leads to broader human mobility. One of the other key thoughts about commuting is the positive impact of commuting flows on creating new workplaces (Russo et. al., 2011; Xiao et. al, 2021). First, vast commuting flows can make it easy to find appropriate candidates for job vacancies to be filled. Secondly, there is a demand for different goods and services in receiving areas created by commuters. Therefore, by means of local demand, new workplaces can be produced. The aim of

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Jian, Wenliang, Xiaoxiao Liu, Hao Liu, Yongshi Hu, and Liangpeng Gao. "The Impacts of the Multiscale Built Environment on Commuting Mode Choice: Spatial Heterogeneity, Moderating Effects, and Implications for Demand Estimation." Journal of Advanced Transportation 2023 (April 27, 2023): 1–14. http://dx.doi.org/10.1155/2023/9346631.

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Promoting the usage of sustainable commuting modes requires in-depth understanding about residents’ commuting mode choice behavior. This study presents an empirical study to investigate the relationship between the built environment and commuting mode choice using CLDS 2016 cross-city questionnaire data. Several multilevel multinomial logit models including the null model, base model, and moderating effect model are developed to analyze the effects of built environments at both city and neighborhood levels on commuting mode choice. Estimation results of the null model reveal the significant sp

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Kaiser, Tamás. "Smart development in the making: Links between commuting, digital technologies and the demand for e-government applications in Hungary." Journal of Infrastructure, Policy and Development 8, no. 9 (2024): 7042. http://dx.doi.org/10.24294/jipd.v8i9.7042.

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Although various actors have examined the user acceptance of e-government developments, less attention has so far devoted to the relationship between attitudes of certain commuter groups against digital technologies and their intention to engage in productive time-use by mobile devices. This paper aims to fill this gap by establishing an overall framework which focuses on Hungarian commuters’ attitudes toward e-government applications as well as their possible demands of developing them. Relying on a representative questionnaire survey conducted in Hungary in March and April 2020, the data wer

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Salon, Deborah, and Sumila Gulyani. "Commuting in Urban Kenya: Unpacking Travel Demand in Large and Small Kenyan Cities." Sustainability 11, no. 14 (2019): 3823. http://dx.doi.org/10.3390/su11143823.

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In Kenya’s capital city, Nairobi, streets are regularly gridlocked. While it is clear that roads are congested at peak hours, it is not known which commuters are experiencing that congestion or what their commute times actually are. Even less is known about commuting patterns in other Kenyan cities. This paper contributes new evidence on commuting from a survey of 14,580 households, conducted in 15 Kenyan cities in 2013. Walking and matatus—privately-operated paratransit—account for 89% of all adult commuting in urban Kenya. As cities increase in size, the proportion relying on walking falls a

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Monte, Ferdinando, Stephen J. Redding, and Esteban Rossi-Hansberg. "Commuting, Migration, and Local Employment Elasticities." American Economic Review 108, no. 12 (2018): 3855–90. http://dx.doi.org/10.1257/aer.20151507.

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We provide theory and evidence that the elasticity of local employment to a labor demand shock is heterogeneous depending on the commuting openness of the local labor market. We develop a quantitative general equilibrium model that incorporates spatial linkages in goods markets (trade) and factor markets (commuting and migration). We quantify this model to match the observed gravity equation relationships for trade and commuting. We find that empirically-observed reductions in commuting costs generate welfare gains of around 3.3 percent. We provide separate quasi-experimental evidence in suppo

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Montazer, Shirin, and Marisa Young. "Commuting Distance and Work-to-Family Conflict: The Moderating Role of Residential Attributes." Social Currents 7, no. 3 (2020): 231–51. http://dx.doi.org/10.1177/2329496519900491.

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Commuting is a boundary-spanning demand that can limit employees’ availability to fulfill family-related roles and routines, leading to work-to-family conflict (WFC). We argue that in cities with challenging housing markets, implications of commuting for WFC may vary by residential attributes, and that the moderating effects of residential attributes may vary by gender due to differences in the work-family interface. Analyses of survey data from individuals in the Greater Toronto Area suggest that (1) the positive association between commuting and WFC is stronger among those who are dissatisfi

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Hong, Rongrong, Wenming Rao, Dong Zhou, Chengchuan An, Zhenbo Lu, and Jingxin Xia. "Commuting Pattern Recognition Using a Systematic Cluster Framework." Sustainability 12, no. 5 (2020): 1764. http://dx.doi.org/10.3390/su12051764.

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Identifying commuting patterns for an urban network is important for various traffic applications (e.g., traffic demand management). Some studies, such as the gravity models, urban-system-model, K-means clustering, have provided insights into the investigation of commuting pattern recognition. However, commuters’ route feature is not fully considered or not accurately characterized. In this study, a systematic framework considering the route feature for commuting pattern recognition was developed for urban road networks. Three modules are included in the proposed framework. These modules were

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Cai, Liu, Luo, Xing, and Liu. "Job Accessibility from a Multiple Commuting Circles Perspective Using Baidu Location Data: A Case Study of Wuhan, China." Sustainability 11, no. 23 (2019): 6696. http://dx.doi.org/10.3390/su11236696.

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Jobs–housing imbalance is a hot topic in urban study and has obtained many results. However, little research has overcome the limits of administrative boundaries in job accessibility measurement and considered differences in job accessibility within multiple commuting circles. Using Baidu location data, this research proposes a new method to measure job accessibility within multiple commuting circles at the grids’ level. Taking the Wuhan metropolitan area as a case study, the results are as follows: (1) Housing and service jobs are concentrated in the central urban areas along the Yangtze Rive

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Lee, Richard W. "Exploration of Long-Distance Interregional Commuting Issues: Analysis of Northern California Interregional Commuters Using Census Data and Focus Group Interviews." Transportation Research Record: Journal of the Transportation Research Board 1521, no. 1 (1996): 29–36. http://dx.doi.org/10.1177/0361198196152100104.

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Recent national and local travel surveys indicate substantial increases in types of travel that are not well explained by most applications of traditional travel demand models. Understanding phenomena such as nonwork travel, the travel patterns of nontraditional households, or long-distance interregional commuting requires new basic research. A promising approach to primary travel demand research was developed and is described. A case study of interregional commuting in Northern California that combined quantitative analysis of census and travel survey data with focus group techniques is prese

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Boukarta, Soufiane, and Ewa Berezowska-Azzag. "The influence of built environment and socio-economic factors on commuting energy demand. A path analysis-based approach." Quaestiones Geographicae 41, no. 4 (2022): 19–39. http://dx.doi.org/10.14746/quageo-2022-0039.

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Transport is the second energy consumer sector after housing in Algeria. In this article, we explore the ener- gy implication of commuting by considering a panel of socio-economic (SE) and built environment (BE) driving factors. The method is based on four steps: (i) The first step is to identify the main and potential drivers from the literature review and to propose a model that summarises the main assumptions that could explain the volume of commuting and the resulting energy consumption. (ii) In the second step, we designed and distributed 700 questionnaires in the municipality of Djelfa a

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Guo, Liang, Shuo Yang, Qinghao Zhang, Leyu Zhou, and Hui He. "Examining the Nonlinear and Synergistic Effects of Multidimensional Elements on Commuting Carbon Emissions: A Case Study in Wuhan, China." International Journal of Environmental Research and Public Health 20, no. 2 (2023): 1616. http://dx.doi.org/10.3390/ijerph20021616.

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Understanding the specific effects of multidimensional elements of a built environment, transportation management policies, and the socio-demographics of travelers associated with commuting carbon emissions is significant for planners in promoting low-carbon and healthy urban development through transportation and land use and urban management policies. Most of the existing studies focus on the complex mechanisms affecting commuting behavior, but the relevant elements and specific mechanisms affecting commuting carbon emissions have not received sufficient attention. This study uses a random f

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de Meester, Edith, and Maarten van Ham. "Symmetry and Asymmetry in Working and Commuting Arrangements between Partners in the Netherlands: Does the Residential Context Matter?" Environment and Planning A: Economy and Space 41, no. 9 (2009): 2181–200. http://dx.doi.org/10.1068/a41246.

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Time spent on work and commuting within dual-earner households is often analysed separately for individuals, but this does no justice to the reality of dual-earner households where decisions on work and commuting are made in a household context. This paper reports on a quantitative study of the impact of the residential context on working arrangements and commuting arrangements of partners in couple and family households. Using multinomial logistic regression, we analysed data from the 2002 Netherlands Housing Demand Survey and the 2004 ABF Real Estate Monitor. The results show a (gendered) ef

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Suzuki, Takamasa. "Complementarity of bus services on rail demand in commuting trips." Journal of the City Planning Institute of Japan 50, no. 2 (2015): 233–38. http://dx.doi.org/10.11361/journalcpij.50.233.

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Noussan, Michel, and Matteo Jarre. "Assessing Commuting Energy and Emissions Savings through Remote Working and Carpooling: Lessons from an Italian Region." Energies 14, no. 21 (2021): 7177. http://dx.doi.org/10.3390/en14217177.

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Effective solutions are needed to decrease the greenhouse gases emissions of the transport sector, not only in terms of supply-side measures, but also including demand-side solutions. This paper focuses on the passenger demand related to daily commuting, either for work or study purposes. A bottom-up analysis is presented, which draws from detailed data for Lombardy, the most populous region in Northern Italy, to build an estimate of the annual energy consumption and emissions related to commuting. The potential of different measures to decrease emissions is evaluated, including the renovation

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Moslem, Sarbast, Szabolcs Duleba, and Domokos Esztergár-Kiss. "Comparative mode choice analysis of university staff commuting travel preferences." European Journal of Transport and Infrastructure Research 22, no. 2 (2022): 83–107. http://dx.doi.org/10.18757/ejtir.2022.22.2.5949.

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Surveying citizen preferences on transportation modes when commuting is a major issue in urban transport planning. Most of the current methods approach the problem through the attributes of choices thus forecasting the demand indirectly. This paper aims to analyze a survey of commuting students and university staff by two direct preference models: the Analytic Hierarchy Process and the Best-Worst Method. Both techniques are based on pairwise comparisons; consequently, the commuting transport alternatives can be directly compared with each other, and the results are comparable, too. However, th

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Patterson, Zachary, Gordon Ewing, and Murtaza Haider. "Gender-Based Analysis of Work Trip Mode Choice of Commuters in Suburban Montreal, Canada, with Stated Preference Data." Transportation Research Record: Journal of the Transportation Research Board 1924, no. 1 (2005): 85–93. http://dx.doi.org/10.1177/0361198105192400111.

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Transportation literature suggests that men and women differ in their commuting patterns and in their propensity to switch between travel options. In North America, it is expected that women will have an increasing impact on travel demand. As such, differences in female responses to travel demand management strategies are likely to become increasingly important as governments try to curtail travel demand. This paper uses a 1994 stated preference survey of suburban commuters in Montreal, Canada, to determine whether there is evidence for differences between men and women in the factors that aff

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Wang, Jing, Chaowu Tan, and Zhigang Liu. "Parking Management Efficiency Analysis through Various Charge Schemes for Day-Long Commuting considering Elastic Travel Demand." Journal of Advanced Transportation 2018 (2018): 1–19. http://dx.doi.org/10.1155/2018/1580287.

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In this paper, we investigate the travel pattern of the day-long commuting in a bisection bottleneck network and the efficiency of pricing schemes with elastic travel demand. We extend the Vickrey model to morning and evening commutes and allow commuters to arrive at workplace late and depart from workplace early. The parking searching time is considered in the morning commute. Next, we derive the independent morning and evening commuting travel patterns without road toll and parking fee. Then, we propose three pricing regimes: duration dependent parking fees; optimal time-varying road tolls;

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Hasnine, M. Sami, Adam Weiss, and Khandker Nurul Habib. "Stated Preference Survey Pivoted on Revealed Preference Survey for Evaluating Employer-Based Travel Demand Management Strategies." Transportation Research Record: Journal of the Transportation Research Board 2651, no. 1 (2017): 108–17. http://dx.doi.org/10.3141/2651-12.

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This paper presents a study of commuters’ responses to various employer-based transportation demand management (TDM) strategies that was conducted in the Region of Peel, Ontario, Canada. The study involves design and implementation of a web-based survey of daily commuting mode choices and an efficient design-based stated preference (SP) experiment on the mode choice effects of potential employer-based TDM strategies. For the SP experiments, the survey also collected an elicited confidence rating from the respondents. The survey of 835 random commuters was conducted in fall 2014 and spring 2015

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Hu, Hongchang, and Xianghong Li. "Explore New Low-carbon Travel Routes for Beijing Residents." International Journal of Social Sciences and Public Administration 4, no. 1 (2024): 485–94. http://dx.doi.org/10.62051/ijsspa.v4n1.58.

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This paper breaks the traditional thinking, re-examines the "supply and demand" relationship of transportation travel, and proposes to find a new path of low-carbon travel from the "demand side". The author innovatively proposed and demonstrated the "differentiated OAO office mode", and put forward personalized suggestions for the four travel needs of school, travel, medical treatment and commuting.

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Wei, Shang, and Yang Li. "Scenario-Based Analysis of High-End New Energy Vehicle User Demands." International Journal of Global Economics and Management 4, no. 1 (2024): 66–75. http://dx.doi.org/10.62051/ijgem.v4n1.11.

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With the rise in global environmental awareness and the rapid development of new energy technologies, high-end new energy vehicles (NEV) have become an important direction for the automotive industry. Consumer demand is evolving from merely seeking a means of transportation to desiring a comprehensive experience across various scenarios, emphasizing high quality, high performance, and environmental friendliness. Understanding the characteristics and trends of high-end NEV users' demands is crucial for car manufacturers in formulating market strategies, product design, and service improvement.

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Vanoutrive, Thomas. "Commuting, spatial mismatch, and Transport Demand Management: The case of gateways." Case Studies on Transport Policy 7, no. 2 (2019): 489–96. http://dx.doi.org/10.1016/j.cstp.2018.12.011.

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Coombes, Mike. "Commuting Contrasts in Post-Industrial England: Mobility in the World's First Urban Industrial City Regions." Built Environment 45, no. 4 (2019): 476–92. http://dx.doi.org/10.2148/benv.45.4.476.

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This paper compares commuting behaviour in different regions of England, with the primary focus on a set of five northern city regions centred on Manchester whose built environment was forged by very early industrialization. Commuting flows are shaped by local geography, which in the study area features many similarly sized, closely spaced towns with strongly localized identity, plus a central upland area of the Pennines. Recent policies to improve transport within and between these city regions aim to increase agglomeration economies through increased commuting, a strategy supported by some r

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Zhang, Jin, Wenquan Li, Guoqing Wang, and Jingcai Yu. "Feasibility Study of Transferring Shared Bicycle Users with Commuting Demand to Flex-Route Transit—A Case Study of Nanjing City, China." Sustainability 13, no. 11 (2021): 6067. http://dx.doi.org/10.3390/su13116067.

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Shared bicycle users with commuting purposes generally need to take a traditional public transit and then use the shared bicycle to complete the first/last mile transport. While shared bicycle provides convenient travel for travelers, it also brings a series of problems such as disorderly parking and road occupancy. Therefore, exploring the problem of travel mode shift between shared bicycle and public transit is of significance for improving the traffic environment and increasing the sharing rate of public transit. This paper introduces the flex-route transit system and quantitatively analyze

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Liu, Huasheng, Haoran Deng, Yu Li, Yuqi Zhao, and Xiaowen Li. "School Surrounding Region Traffic Commuting Analysis Based on Simulation." International Journal of Environmental Research and Public Health 19, no. 11 (2022): 6566. http://dx.doi.org/10.3390/ijerph19116566.

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Student commuting is an important part of urban travel demand and private car commuting plays an important role in urban traffic, especially in areas near schools. Since parents, especially the parents of elementary and junior high school students, prefer to drive rather than take public transport, there will be a negative effect on traffic management. To address the challenge, a simulation model is established based on schools’ surrounding regions to analyze traffic status. Specifically, the model focuses on urban construction and transportation near the entrance of schools and neighborhoods.

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Kondor, Daniel, Hongmou Zhang, Remi Tachet, Paolo Santi, and Carlo Ratti. "Estimating Savings in Parking Demand Using Shared Vehicles for Home–Work Commuting." IEEE Transactions on Intelligent Transportation Systems 20, no. 8 (2019): 2903–12. http://dx.doi.org/10.1109/tits.2018.2869085.

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Yang, Tianren. "Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework." Environment and Planning B: Urban Analytics and City Science 47, no. 8 (2020): 1440–55. http://dx.doi.org/10.1177/2399808320924433.

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In order to contain commuting distance growth and relieve traffic burden in mega-city regions, it is essential to understand journey-to-work patterns and changes in those patterns. This research develops a planning support model that integrates increasingly available mobile phone data and conventional statistics into a theoretical urban economic framework to reveal and explain commuting changes. Base-year calibration and cross-year validation were conducted first to test the model’s predictive ability. Counterfactual simulations were then applied to help local planners and policymakers underst

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Petříček, Jakub, Marek Komárek, Miroslav Marada, and Jakub Randák. "Planned construction of HSR in Czechia and occasional long-distance work commuting: impact of passenger income." Review of Economic Perspectives 22, no. 4 (2022): 279–91. http://dx.doi.org/10.2478/revecp-2022-0013.

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Abstract This article analyses occasional work commuting mobility within three major metropolitan areas in Czechia in the context of future HSR routes. The main aim is to explain uneven commuting flows of inter-metropolitan travelers through their level of income, given their potential for the use of HSR from a demand perspective. To achieve the goals, the paper uses quantitative data analysis methods performed on a selection of 228 respondents who realized at least one business trip between Prague and Brno or Prague and Ostrava between January and September 2019. The results reveal that the l

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Gričar, Sergej, Urška Longar, Tanja Longar, and Violeta Šugar. "Cycling into Sustainability: Lessons from the Netherlands for Slovenia’s E-Bike Adoption." Sustainability 16, no. 22 (2024): 9987. http://dx.doi.org/10.3390/su16229987.

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This study investigates whether Slovenia can learn from the Netherlands to enhance its bicycle commuting culture and how e-bikes can improve cycling performance among its residents. The research utilises secondary data from the Statistical Office of the Republic of Slovenia and Statista, covering variables such as bicycle sales, gross domestic product, and urbanisation rates from 1997 to 2024. The data are analysed using Vector Auto Regression (VAR). The results reveal that urbanisation positively influences both traditional and e-bike demand, highlighting the importance of improved cycling in

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Luo, Yi, and Da Lin Qian. "Effects of Bus Lane Operation on Transportation Networks." Advanced Materials Research 1030-1032 (September 2014): 2019–23. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.2019.

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In this paper, we proposed a network efficiency measure for congested networks based on the user equilibrium, travel costs, demand and road resources being occupied. Compares the network efficiency on expressway before and after the bus lane operation, the results show that the exclusive bus lane stimulates demand for mass transportation, which greatly improves the efficiency of transit operation. Finally, combined with the survey data, we are clear that how to improve the level of services of public transportation and how to attract more travelers to use buses for commuting.

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Rotaris, Lucia, and Romeo Danielis. "Commuting to college: The effectiveness and social efficiency of transportation demand management policies." Transport Policy 44 (November 2015): 158–68. http://dx.doi.org/10.1016/j.tranpol.2015.08.001.

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MUNAKATA, Ryoga, Shota ISHIYAMA, Yuki SASAKI, and Mikiharu ARIMURA. "EVALUATION OF ON-DEMAND TRANSPORTATION INTRODUCTION COMMUTING USING HIGH GRANULARITY HUMAN FLOW DATA." Japanese Journal of JSCE 80, no. 20 (2024): n/a. https://doi.org/10.2208/jscejj.24-20023.

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Verwoert, Liesl. "Long-distance commuter workforce." APPEA Journal 53, no. 2 (2013): 467. http://dx.doi.org/10.1071/aj12078.

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Australia’s resources industry has experienced record growth and a strong demand for labour during the past decade. Much of this demand is occurring in remote parts of Australia and is met by population growth of resident and non-resident long-distance-commuter (LDC) workers. LDC workers are defined as those who travel significant distances between where they usually live and work, and include fly-in/fly-out and drive-in/drive-out workers. While the LDC workforce is not new, the scale of this phenomenon and the shift in commuting patterns among this workforce to meet Australia’s evolving labou

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Liu, Zhicheng, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, and Claudio Silva. "Learning Geo-Contextual Embeddings for Commuting Flow Prediction." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 808–16. http://dx.doi.org/10.1609/aaai.v34i01.5425.

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Predicting commuting flows based on infrastructure and land-use information is critical for urban planning and public policy development. However, it is a challenging task given the complex patterns of commuting flows. Conventional models, such as gravity model, are mainly derived from physics principles and limited by their predictive power in real-world scenarios where many factors need to be considered. Meanwhile, most existing machine learning-based methods ignore the spatial correlations and fail to model the influence of nearby regions. To address these issues, we propose Geo-contextual

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Schleith, D., M. J. Widener, C. Kim, and M. W. Horner. "Categorizing Urban Form for the Largest Metro Regions in the U.S. Using the Excessive Commuting Framework." Built Environment 45, no. 4 (2019): 450–61. http://dx.doi.org/10.2148/benv.45.4.450.

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The degree to which U.S. cities, metro regions, and general urbanized areas have distinct centres of economic activity has been a matter of debate for many decades. In the jobs–housing literature, there is related debate about whether having many distinct mixed-use centres in cities leads to longer or shorter commutes. The excess commuting framework has been increasingly refined and applied to assess urban areas' jobs–housing balance. The framework has expanded over the years but an issue in the present research is whether its various theoretical measurements and efficiency calculations might

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Niizuma, Yasuaki, Yoko Araki, Hiroe Mori, Akinori Takahashi, and Yutaka Watanuki. "Responses of body components to changes in the energetic demand throughout the breeding stages of rhinoceros auklets." Canadian Journal of Zoology 80, no. 9 (2002): 1549–55. http://dx.doi.org/10.1139/z02-158.

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When rearing chicks, seabirds increase their daily energy expenditures during commuting flights between foraging areas and breeding colonies, owing to the heavy food loads. At this time, parents are expected to enlarge the size of their energy-supplying organs in response to the increased energy demands but reduce their total body mass to minimize the energetic cost of flight. The changes in body components of 40 incubating and chick-rearing rhinoceros auklets (Cerorhinca monocerata) were examined. Chick-rearing auklets did not have larger energy-supplying organs and breast muscles than incuba

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Wei, Baohua, and Lei Zhu. "Exploring the Impact of Built Environment Factors on the Relationships between Bike Sharing and Public Transportation: A Case Study of New York." ISPRS International Journal of Geo-Information 12, no. 7 (2023): 293. http://dx.doi.org/10.3390/ijgi12070293.

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Bike sharing offers a usable form of feeder transportation for connecting to public transportation and effectively meets unmet travel demands, alleviating the pressure on public transportation systems by diverting urban commuters. To advance the comprehension of how the built environment shapes the relationship between bike-sharing systems and public transport modes, we implement a categorization framework that divides bike-sharing data into three distinct patterns: competition, integration, and complementation, based on their coordination with public transportation. The SLM model is employed

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Fan, Xiaomeng, Fengyan Cindy Cai, and Galen V. Bodenhausen. "The boomerang effect of zero pricing: when and why a zero price is less effective than a low price for enhancing consumer demand." Journal of the Academy of Marketing Science 50, no. 3 (2022): 521–37. http://dx.doi.org/10.1007/s11747-022-00842-1.

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AbstractPrior literature has demonstrated the power of zero pricing to boost consumer demand, but the current research shows a novel “boomerang effect”: a zero (vs. low, nonzero) price can lower demand when the offer comes with high incidental costs (e.g., the time cost in commuting to an offline class; the physical risk of getting a new vaccine). Five studies show that zero pricing, relative to low pricing, has a boosting (boomerang) effect on demand when incidental costs are low (high). The diverging effects of zero pricing on demand are explained by a dual-process model with a positive affe

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Tenkanen, Henrikki, Ngoc Chau, and Subhrasankha Dey. "A data-driven approach for estimating travel-related carbon emissions with high spatial and temporal granularity." AGILE: GIScience Series 5 (May 30, 2024): 1–4. http://dx.doi.org/10.5194/agile-giss-5-45-2024.

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Abstract. The transport sector is the second-largest contributor to greenhouse gas emissions in the EU, with a high reliance on fossil fuels and increasing demand for transportation. In Finland, cars are the most common means of travel, accounting for 60% of overall domestic travel. Considering that a significant portion of the work-related trips in Finland (70%) are done by car, there exists great potential to reduce travel-related emissions by substituting short-distance work trips with active transport. Typically, the potential for reducing travel related carbon emissions are studied using

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Twaddle, Heather, Fred Hall, and Blanka Bracic. "Latent Bicycle Commuting Demand and Effects of Gender on Commuter Cycling and Accident Rates." Transportation Research Record: Journal of the Transportation Research Board 2190, no. 1 (2010): 28–36. http://dx.doi.org/10.3141/2190-04.

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Yao, Xiaobai. "Where are public transit needed – Examining potential demand for public transit for commuting trips." Computers, Environment and Urban Systems 31, no. 5 (2007): 535–50. http://dx.doi.org/10.1016/j.compenvurbsys.2007.08.005.

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Luo, Qingyu, Wanli Tian, and Hongfei Jia. "Location and Capacity Model of Charging Station for Electric Vehicles Based on Commuting Demand." IEEJ Transactions on Electrical and Electronic Engineering 15, no. 7 (2020): 1089–99. http://dx.doi.org/10.1002/tee.23154.

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Han, Xiao, Yong Yang, Rui Jiang, Zi-You Gao, and H. Michael Zhang. "Commuting departure time choice under stochastic demand: Departure preferences and the value of information." Transportation Research Part A: Policy and Practice 197 (July 2025): 104476. https://doi.org/10.1016/j.tra.2025.104476.

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Chang, Zheng. "International Real Estate Review." International Real Estate Review 20, no. 4 (2017): 525–48. http://dx.doi.org/10.53383/100252.

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Since the late 2000s, many universities worldwide have seen a significant increase in the number of non-local students. This study examines the aggregate housing demand of those students and their impact on local rentals by using mainland students in Hong Kong as an example. The findings show that students have very different residential patterns and housing demand than other types of residents. Their income elasticity of commuting is close to 0, and they have lower income elasticity of housing demand compared with the local residents. As a group, they exhibit strong patterns of clustered livi

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Galang, Nicole Allyson A., Alexandra Mae M. Villeno, Peter Jeff Camaro, and Ronaldo R. Cabauatan. "Impact of Digital Platform Economy and Ride-Hailing Services on Urban Mobility in Pampanga." Journal of Technology and Systems 7, no. 1 (2025): 28–57. https://doi.org/10.47941/jts.2506.

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Purpose: This study examines the impact of ride-hailing services and the digital platform economy on urban mobility in Pampanga, Philippines, focusing on the residents of Angeles City, Mabalacat City, and San Fernando City. The research aims to assess how these services affect accessibility, convenience, and commuting efficiency in the region, considering factors like transportation accessibility, demographic trends, and the increasing preference for on-demand services. Methodology: Data was collected through an online survey targeting residents of the three cities. Statistical methods, includ

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Elsaid, Feras, Luis Amador-Jimenez, and Ciprian Alecsandru. "Incorporating bicycling demand into pavement management systems for convenient bikeway networks." Canadian Journal of Civil Engineering 47, no. 6 (2020): 759–70. http://dx.doi.org/10.1139/cjce-2019-0111.

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Several cities around the world have announced strategies to extend and (or) upgrade their bikeway networks in response to the rapid increase of bicycle users. However, there is a disconnection between these strategies and management systems, often used for the scheduling of maintenance and rehabilitation of roads. Traditional pavement management systems fail to incorporate bicycle pathways considering bicycling demand, along with pavement condition, as a driving element to budget for improvements. More convenient and safer bicycling facilities can encourage more individuals to shift their dai

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Goliszek, Sławomir, Marcin Połom, and Patryk Duma. "Potential and cumulative accessibility of workplaces by public transport in Szczecin." Bulletin of Geography. Socio-economic Series 50, no. 50 (2020): 133–46. http://dx.doi.org/10.2478/bog-2020-0037.

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AbstractThe article presents the accessibility of workplaces in Szczecin using the method of potential and cumulative accessibility for commuting by public transport. The public transport commuting times used in the study were generated using the public transport model, which was developed based on data in the General Transit Feed Specification (GTFS) format. The results of potential accessibility by public transport were calculated for several selected time thresholds in the morning rush hours between 7 a.m. and 9 a.m.. On the other hand, cumulative accessibility is characterised by variabili

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De Gruyter, Chris, Tayebeh Saghapour, Liang Ma, and Jago Dodson. "How does the built environment affect transit use by train, tram and bus?" Journal of Transport and Land Use 13, no. 1 (2020): 625–50. http://dx.doi.org/10.5198/jtlu.2020.1739.

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While much research has explored the influence of the built environment on public transport use, little focus has been given to how this influence varies by public transport mode. Using a case study of Melbourne, this study assesses the influence of the built environment and other characteristics (transit service quality, demand management and socio-demographics) on commuting by train, tram and bus. Key findings indicate that the built environment has a significant influence, but with notable differences between individual public transport modes. Commuting by tram was found to have the stronge

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