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In urban renewal processes, metro line systems are widely used to accommodate the massive traffic needs and stimulate the redevelopment of the local area. The route choice of pedestrians, emanating from or going to the metro stations, is influenced by the street-scale built environment. Many renewal processes involve the improvement of the street-level built environment and thus influence pedestrian flows. To assess the effects of urban design on pedestrian flows, this article presents the results of a simulation model of pedestrian route choice behavior around Yingkoudao metro station in the city center of Tianjin, China. Simulated pedestrian flows based on 4 scenarios of changes in street-scale built environment characteristics are compared. Results indicate that the main streets are disproportionally more affected than smaller streets. The promotion of an intensified land use mix does not lead to a high increase in the number of pedestrians who choose the involved route when traveling from/to the metro station, assuming fixed destination choice.
Yanan Liu; Dujuan Yang; Harry J. P. Timmermans; Bauke de Vries. Simulating the effects of redesigned street-scale built environments on access/egress pedestrian flows to metro stations. Computational Urban Science 2021, 1, 1 -14.
AMA StyleYanan Liu, Dujuan Yang, Harry J. P. Timmermans, Bauke de Vries. Simulating the effects of redesigned street-scale built environments on access/egress pedestrian flows to metro stations. Computational Urban Science. 2021; 1 (1):1-14.
Chicago/Turabian StyleYanan Liu; Dujuan Yang; Harry J. P. Timmermans; Bauke de Vries. 2021. "Simulating the effects of redesigned street-scale built environments on access/egress pedestrian flows to metro stations." Computational Urban Science 1, no. 1: 1-14.
Automated vehicles (AVs) are expected to improve traffic flow efficiency and safety. The deployment of AVs on motorways is expected to be the first step in their implementation. One of the main concerns is how human drivers will interact with AVs. Dedicating specific lanes to AVs have been suggested as a possible solution. However, there is still a lack of evidence-based research on the consequence of dedicated lanes for AVs on human drivers’ behavior. To bridge this research gap, a driving simulator experiment was conducted to investigate the behavior of human drivers exposed to different road design configurations of dedicated lanes on motorways. The experiment sample consisted of 34 (13 female) licensed drivers in the age range of 20–30. A repeated measures ANOVA was applied, which revealed that the type of separation between the dedicated lane and the other lanes has a significant influence on the behavior of human drivers driving in the proximity of AV platoons. Human drivers maintained a significantly lower time headway (THW) when driving in the proximity of a continuous access dedicated lane as compared to a limited-access dedicated lane with a guardrail separation for AV platoons. A similar result was found for the limited-access dedicated lane in comparison to the limited-access dedicated lane with guardrail separation. Moreover, the results regarding the empirical relationships between THW and sociodemographic variables indicate a significant THW difference between males and females as well as a significant inverse relationship between THW and the years of driving experience.
Mathijs Schoenmakers; Dujuan Yang; Haneen Farah. Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands. Transportation Research Part F: Traffic Psychology and Behaviour 2021, 78, 119 -129.
AMA StyleMathijs Schoenmakers, Dujuan Yang, Haneen Farah. Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands. Transportation Research Part F: Traffic Psychology and Behaviour. 2021; 78 ():119-129.
Chicago/Turabian StyleMathijs Schoenmakers; Dujuan Yang; Haneen Farah. 2021. "Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands." Transportation Research Part F: Traffic Psychology and Behaviour 78, no. : 119-129.
Building information modeling (BIM) and Augmented Reality (AR) have many potential benefits if it can be implemented on the construction site. However, the adoption is very limited so far. Till now, construction workers get information mostly in a paper-based format, which is an obstacle for innovation implementation on site. To identify which forms of data provision are more preferred, and which attributes would influence construction workers’ acceptance of innovations on-site, this paper reports the results of two stated choice experiments using discrete choice methods. A total of 160 valid respondents were recruited from construction sites in the Netherlands to complete an online experiment. The mixed logit (ML) model was estimated to unravel construction workers’ preferences. The results show that construction workers are willing to accept new forms of data provision and new technologies in general. They are more likely to accept innovation if there is enough guidance.
Dujuan Yang; Bauke de Vries; Laurens van der Schaft. The construction workers’ preference and acceptance of innovations in data provision: A stated choice experiment study in the Netherlands. Journal of Building Engineering 2020, 35, 101970 .
AMA StyleDujuan Yang, Bauke de Vries, Laurens van der Schaft. The construction workers’ preference and acceptance of innovations in data provision: A stated choice experiment study in the Netherlands. Journal of Building Engineering. 2020; 35 ():101970.
Chicago/Turabian StyleDujuan Yang; Bauke de Vries; Laurens van der Schaft. 2020. "The construction workers’ preference and acceptance of innovations in data provision: A stated choice experiment study in the Netherlands." Journal of Building Engineering 35, no. : 101970.
Internal and external circumstances affect a vehicles’ fuel consumption. Various studies reviewed internal combustion engine vehicles (ICEVs) energy consumption. While Battery Electric Vehicles (BEVs) are expected to replace ICEVs, more research is necessary to understand their energy performance. To fill this research gap, a microscopic traffic model and an energy prediction model were combined to estimate the effects of driving styles, weather, traffic and infrastructure on the energy consumption of BEVs. By using a VISSIM model, various scenarios were tested. This resulted in a qualitative insight into the energy consumption and travel time, which was validated by performing 30 driving tests and by using dynamometer data. The results indicate that built environment variables have a large effect on the energy consumption of BEVs. An increasing traffic intensity has been found to not always increase the energy consumption. Moreover, the energy consumption can be decreased by choosing a more energy-efficient route.
Alex Donkers; Dujuan Yang; Miloš Viktorović. Influence of driving style, infrastructure, weather and traffic on electric vehicle performance. Transportation Research Part D: Transport and Environment 2020, 88, 102569 .
AMA StyleAlex Donkers, Dujuan Yang, Miloš Viktorović. Influence of driving style, infrastructure, weather and traffic on electric vehicle performance. Transportation Research Part D: Transport and Environment. 2020; 88 ():102569.
Chicago/Turabian StyleAlex Donkers; Dujuan Yang; Miloš Viktorović. 2020. "Influence of driving style, infrastructure, weather and traffic on electric vehicle performance." Transportation Research Part D: Transport and Environment 88, no. : 102569.
Understanding the relationship between micro-scale built environment and pedestrian trips from/to metro stations is important to stimulate walking as the key egress/access mode. This study developed a path size correction latent class logit model using 515 observed route trajectories between a metro station and an origin/destination near the metro station in Tianjin, China. Results suggest that pedestrians can be classified into two latent classes. Pedestrians in both classes prefer routes with a fence and lower floor area ratio. Except for the common significant results in the two classes, pedestrians who work in the area in class 1 attach a higher utility to shorter routes, lower width of the sidewalks, less street greenery, less traffic lights number, and smaller width of the road. Pedestrians who do not work in the area in class 2 attach a higher utility to longer routes, higher building lot coverage, and larger width of the road.
Yanan Liu; Dujuan Yang; Harry J.P. Timmermans; Bauke de Vries. The impact of the street-scale built environment on pedestrian metro station access/egress route choice. Transportation Research Part D: Transport and Environment 2020, 87, 102491 .
AMA StyleYanan Liu, Dujuan Yang, Harry J.P. Timmermans, Bauke de Vries. The impact of the street-scale built environment on pedestrian metro station access/egress route choice. Transportation Research Part D: Transport and Environment. 2020; 87 ():102491.
Chicago/Turabian StyleYanan Liu; Dujuan Yang; Harry J.P. Timmermans; Bauke de Vries. 2020. "The impact of the street-scale built environment on pedestrian metro station access/egress route choice." Transportation Research Part D: Transport and Environment 87, no. : 102491.
For autonomous vehicles (AV), the ability to share information about their surroundings is crucial. With Level 4 and 5 autonomy in sight, solving the challenge of organization and efficient storing of data, coming from these connected platforms, becomes paramount. Research done up to now has been mostly focused on communication and network layers of V2X (Vehicle-to-Everything) data sharing. However, there is a gap when it comes to the data layer. Limited attention has been paid to the ontology development in the automotive domain. More specifically, the way to integrate sensor data and geospatial data efficiently is missing. Therefore, we proposed to develop a new Connected Traffic Data Ontology (CTDO) on the foundations of Sensor, Observation, Sample, and Actuator (SOSA) ontology, to provide a more suitable ontology for large volumes of time-sensitive data coming from multi-sensory platforms, like connected vehicles, as the first step in closing the existing research gap. Additionally, as this research aims to further extend the CTDO in the future, a possible way to map to the CTDO with ontologies that represent road infrastructure has been presented. Finally, new CTDO ontology was benchmarked against SOSA, and better memory performance and query execution speeds have been confirmed.
Miloš Viktorović; Dujuan Yang; Bauke De Vries. Connected Traffic Data Ontology (CTDO) for Intelligent Urban Traffic Systems Focused on Connected (Semi) Autonomous Vehicles. Sensors 2020, 20, 2961 .
AMA StyleMiloš Viktorović, Dujuan Yang, Bauke De Vries. Connected Traffic Data Ontology (CTDO) for Intelligent Urban Traffic Systems Focused on Connected (Semi) Autonomous Vehicles. Sensors. 2020; 20 (10):2961.
Chicago/Turabian StyleMiloš Viktorović; Dujuan Yang; Bauke De Vries. 2020. "Connected Traffic Data Ontology (CTDO) for Intelligent Urban Traffic Systems Focused on Connected (Semi) Autonomous Vehicles." Sensors 20, no. 10: 2961.
Visitors not only have specific destinations targeting the Dutch Design Week (DDW) exhibitions distributed all over the city, but also visit the city in between exhibition activities. The mixed environment makes modeling behavior of DDW visitors more complex than shoppers and tourisms only. This research pays special attention to the influence of built environment on pedestrian route choice. The built environment includes building and transportation infrastructure. GPS tracking data and social demographic information were collected during the event. Multinomial logit model and path size logit model are used to analysis route choice behavior. The results show that some built environment factors have significant influence on route choice. Shops are more attractive for aged visitors. Females prefer shorter routes more. In big event, the alternative routes with more sharing links could increase the possibility to choose.
Yanan Liu; Dujuan Yang; Bauke De Vries; Harry J.P. Timmermans. Analysis of Built Environment Influence on Pedestrian route choice behavior in Dutch Design Week using GPS Data. Collective Dynamics 2020, 5, 262 -270.
AMA StyleYanan Liu, Dujuan Yang, Bauke De Vries, Harry J.P. Timmermans. Analysis of Built Environment Influence on Pedestrian route choice behavior in Dutch Design Week using GPS Data. Collective Dynamics. 2020; 5 ():262-270.
Chicago/Turabian StyleYanan Liu; Dujuan Yang; Bauke De Vries; Harry J.P. Timmermans. 2020. "Analysis of Built Environment Influence on Pedestrian route choice behavior in Dutch Design Week using GPS Data." Collective Dynamics 5, no. : 262-270.
This study presents a latent class competing risks model to examine the influence of socio-demographics and life course events on car transaction behaviour. The types of car transaction and interval times between car transactions events are incorporated in a competing risk model. To capture unobserved behavioural heterogeneity across the population, the model classifies households into different segments. Results estimated based on retrospective survey data show significant heterogeneity exist in household car ownership decisions. The covariates are found to have different effects on car ownership decisions between different classes. Households in the class labelled “Young households without a car” are more sensitive to life course events related to household composition. Households labelled as “middle-aged and aged households with car(s)” are more sensitive to life course events related to job and house locations.
Gaofeng Gu; Tao Feng; Dujuan Yang; Harry Timmermans. Modeling dynamics in household car ownership over life courses: a latent class competing risks model. Transportation 2020, 1 -21.
AMA StyleGaofeng Gu, Tao Feng, Dujuan Yang, Harry Timmermans. Modeling dynamics in household car ownership over life courses: a latent class competing risks model. Transportation. 2020; ():1-21.
Chicago/Turabian StyleGaofeng Gu; Tao Feng; Dujuan Yang; Harry Timmermans. 2020. "Modeling dynamics in household car ownership over life courses: a latent class competing risks model." Transportation , no. : 1-21.
The mismatch between the design of the micro-scale built environment around metro stations and pedestrian/cyclist preferences causes inconvenience and dissatisfaction. How to design streets near metro stations to provide a walking/biking friendly built environment is still a key question in promoting the use of metro systems. To identify which general attributes of the street-scale built environment are relevant for pedestrians/cyclists and increase walkability/cycle-ability, this paper reports the results of a stated choice experiment in which eight built environment attributes were systematically varied: street segment length, average number of building floors on both sides of the street, retail shops in frontage of streets, street crossing facilities for pedestrians/cyclists, width of sidewalks/bicycle paths, greenery, density of street lamps and crowdedness of pedestrian/cyclists to understand their influence on a road segment choice and preferences. A total of 803 respondents were recruited from Tianjin, China to complete the stated choice experiment through on-street face-to-face interviews. A multinomial logit model was estimated to unravel pedestrian/cyclist preferences using the stated choice data. The results indicate that pedestrians and cyclists have similar preferences for road segments with building lower than 6 floors, 50% retail shops in frontage, more greenery, lamps between 15 m and 30 m, more crossing facilities, wider sidewalk/bike lane and not crowded. These significant built environment attributes can be used in urban design projects with a walking/biking friendly built environment around a metro station.
Yanan Liu; Dujuan Yang; Harry J.P. Timmermans; Bauke de Vries. Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment. Journal of Transport Geography 2019, 82, 102570 .
AMA StyleYanan Liu, Dujuan Yang, Harry J.P. Timmermans, Bauke de Vries. Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment. Journal of Transport Geography. 2019; 82 ():102570.
Chicago/Turabian StyleYanan Liu; Dujuan Yang; Harry J.P. Timmermans; Bauke de Vries. 2019. "Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment." Journal of Transport Geography 82, no. : 102570.
The increasing shift of individuals to use new electric mobility tools like electric cars (EV) and electric bikes has changed household energy expenditure. It may also affect households’ investments in renewable energy equipment, i.e. solar panels, heat pumps. Relatively little research has been conducted on how the decision to purchase electric vehicles affects the decision to invest in home renewable energy equipment. This paper, therefore, aims to examine the effects of mobility tools decisions on the intention to invest in solar panels and heat pumps, based on the data collected through a stated choice experiment. A mixed logit model is estimated to capture unobserved heterogeneity among individuals. Results show that mobility tools significantly influence the choice of home renewable energy equipment. Households who prefer to purchase electric vehicles have a higher probability to invest in solar panels and heat pumps than households who prefer other mobility tools. In addition, EV adopters’ intention to invest in solar panels are stronger than the intention to invest in heat pumps. This suggests that electric vehicle users are likely the early adopters of solar panels.
Gaofeng Gu; Dujuan Yang; Tao Feng; Harry Timmermans. Influence of the adoption of new mobility tools on investments in home renewable energy equipment: Results of a stated choice experiment. Sustainable Cities and Society 2019, 50, 101641 .
AMA StyleGaofeng Gu, Dujuan Yang, Tao Feng, Harry Timmermans. Influence of the adoption of new mobility tools on investments in home renewable energy equipment: Results of a stated choice experiment. Sustainable Cities and Society. 2019; 50 ():101641.
Chicago/Turabian StyleGaofeng Gu; Dujuan Yang; Tao Feng; Harry Timmermans. 2019. "Influence of the adoption of new mobility tools on investments in home renewable energy equipment: Results of a stated choice experiment." Sustainable Cities and Society 50, no. : 101641.
Autonomous driving has a potential to improve the future road transportation. Truck platooning is one of the main solutions. However, the impact of truck platooning on traffic flow and safety on highways is still unclear. This research focuses on impacts of large-scale truck platooning on Dutch highway. It applied a microscopic modeling to simulate the impact of truck platooning within critical traffic locations such as merging and diverging areas. The results showed that large-scale truck platooning has an impact on the traffic safety and efficiency within these traffic locations compared to the current situation.
Dujuan Yang; Anique Kuijpers; Gamze Dane; Tom van der Sande. Impacts of large-scale truck platooning on Dutch highways. Transportation Research Procedia 2019, 37, 425 -432.
AMA StyleDujuan Yang, Anique Kuijpers, Gamze Dane, Tom van der Sande. Impacts of large-scale truck platooning on Dutch highways. Transportation Research Procedia. 2019; 37 ():425-432.
Chicago/Turabian StyleDujuan Yang; Anique Kuijpers; Gamze Dane; Tom van der Sande. 2019. "Impacts of large-scale truck platooning on Dutch highways." Transportation Research Procedia 37, no. : 425-432.
Urban policy increasingly positions smart urban development as a transformative approach to deliver sustainability. In this paper, we question the transformative credentials of smartness and argue that it is better understood as a partial fix for the economic, environmental and social challenges faced by cities. Drawing on the urban sustainability and smart city literatures, we develop the concept of the urban smart-sustainability fix. This concept focuses on how smart-sustainable city initiatives selectively integrate digital and environmental agendas via entrepreneurial forms of urban governance. We develop this concept by examining how the urban smart-sustainability fix is constructed in the European Commission’s flagship smart cities and communities lighthouse projects, focusing on the Triangulum initiative. Our research reveals three elements of the urban smart-sustainability fix: (1) the spatial development of smart-sustainable districts; (2) the digitisation of urban infrastructure to reveal hidden processes; and, (3) collaborative experimentation with low-carbon and digital technologies. We argue that this has produced urban districts that are attempting to reduce their carbon emissions while promoting green economic growth. The main aim of the urban smart-sustainability fix is to make the urban realm more manageable resulting in amplification, rather than transformation, of the dominant ecological modernisation agenda of sustainable development.
Christopher Martin; James Evans; Andrew Karvonen; Krassimira Paskaleva; Dujuan Yang; Trond Linjordet. Smart-sustainability: A new urban fix? Sustainable Cities and Society 2018, 45, 640 -648.
AMA StyleChristopher Martin, James Evans, Andrew Karvonen, Krassimira Paskaleva, Dujuan Yang, Trond Linjordet. Smart-sustainability: A new urban fix? Sustainable Cities and Society. 2018; 45 ():640-648.
Chicago/Turabian StyleChristopher Martin; James Evans; Andrew Karvonen; Krassimira Paskaleva; Dujuan Yang; Trond Linjordet. 2018. "Smart-sustainability: A new urban fix?" Sustainable Cities and Society 45, no. : 640-648.
With the rapid rural urbanization and new rural construction in China, tremendous changes are occurring in rural built environments and rural household vehicle ownership. However, few studies have examined the relationship between rural built environments and rural household vehicle ownership. In this study, a questionnaire survey of 374 rural households was conducted and the built environment data of seven typical villages in rural Sichuan were collected using Geographic Information System (GIS) technology and on-site measurement. This study aimed to investigate the relationship between the rural built environment and rural household vehicle ownership in China through a multinomial logit (MNL) model. Results show that household structure attributes have the most significant relationship with vehicle ownership, followed by rural built environment attributes and the respondents’ driving skills. In the process of urbanization, with increases in building density, road density, and destination accessibility, an increase in high-carbon vehicle ownership is an inevitable trend among rural households. However, low-carbon-oriented rural planning can effectively control the increase in high-carbon vehicle ownership. For example, the distance between rural households and important destinations, such as hospitals, schools, and markets, should be shortened and rural residents should be encouraged to learn to ride bicycles. Moreover, rural residents riding motorcycles can effectively reduce household car ownership.
Yibin Ao; Chuan Chen; Dujuan Yang; Yan Wang. Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China. Sustainability 2018, 10, 1566 .
AMA StyleYibin Ao, Chuan Chen, Dujuan Yang, Yan Wang. Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China. Sustainability. 2018; 10 (5):1566.
Chicago/Turabian StyleYibin Ao; Chuan Chen; Dujuan Yang; Yan Wang. 2018. "Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China." Sustainability 10, no. 5: 1566.
The wisdom of ‘smart’ development increasingly shapes urban sustainability in Europe and beyond. Yet, the ‘smart city’ paradigm has been critiqued for favouring technological solutions and business interests over social inclusion and urban innovation. Despite the rhetoric of ‘citizen-centred approaches’ and ‘user-generated data’, the level of stakeholder engagement and public empowerment is still in question. It is unclear how smart city initiatives are developing common visions according to the principles of sustainable urban development. This paper examines how data governance in particular is framed in the new smart city agenda that is focused on sustainability. The challenges and opportunities of data governance in sustainability-driven smart city initiatives are articulated within a conceptual Framework on Sustainable Smart City Data Governance. Drawing on three cases from European countries and a stakeholder survey, the paper shows how governance of data can underpin urban smart and sustainable development solutions. The paper presents insights and lessons from this multi-case study, and discusses risks, challenges, and future research.
Krassimira Paskaleva; James Evans; Christopher Martin; Trond Linjordet; Dujuan Yang; Andrew Karvonen. Data Governance in the Sustainable Smart City. Informatics 2017, 4, 41 .
AMA StyleKrassimira Paskaleva, James Evans, Christopher Martin, Trond Linjordet, Dujuan Yang, Andrew Karvonen. Data Governance in the Sustainable Smart City. Informatics. 2017; 4 (4):41.
Chicago/Turabian StyleKrassimira Paskaleva; James Evans; Christopher Martin; Trond Linjordet; Dujuan Yang; Andrew Karvonen. 2017. "Data Governance in the Sustainable Smart City." Informatics 4, no. 4: 41.
Seheon Kim; Dujuan Yang; Soora Rasouli; Harry Timmermans. Heterogeneous hazard model of PEV users charging intervals: Analysis of four year charging transactions data. Transportation Research Part C: Emerging Technologies 2017, 82, 248 -260.
AMA StyleSeheon Kim, Dujuan Yang, Soora Rasouli, Harry Timmermans. Heterogeneous hazard model of PEV users charging intervals: Analysis of four year charging transactions data. Transportation Research Part C: Emerging Technologies. 2017; 82 ():248-260.
Chicago/Turabian StyleSeheon Kim; Dujuan Yang; Soora Rasouli; Harry Timmermans. 2017. "Heterogeneous hazard model of PEV users charging intervals: Analysis of four year charging transactions data." Transportation Research Part C: Emerging Technologies 82, no. : 248-260.
Gamze Dane; Anna Grigolon; Soora Rasouli; Harry Timmermans; Dujuan Yang; Robin Hickman; Moshe Givoni; David Bonilla; David Banister. Ageing populations and travel. Handbook on Transport and Development 2015, 556 -570.
AMA StyleGamze Dane, Anna Grigolon, Soora Rasouli, Harry Timmermans, Dujuan Yang, Robin Hickman, Moshe Givoni, David Bonilla, David Banister. Ageing populations and travel. Handbook on Transport and Development. 2015; ():556-570.
Chicago/Turabian StyleGamze Dane; Anna Grigolon; Soora Rasouli; Harry Timmermans; Dujuan Yang; Robin Hickman; Moshe Givoni; David Bonilla; David Banister. 2015. "Ageing populations and travel." Handbook on Transport and Development , no. : 556-570.
D Dujuan Yang; Hjp Harry Timmermans. Analysis of consumer response to fuel price fluctuations applying sample selection model to GPS panel data: Dynamics in individuals’ car use. Transportation Research Part D: Transport and Environment 2015, 38, 67 -79.
AMA StyleD Dujuan Yang, Hjp Harry Timmermans. Analysis of consumer response to fuel price fluctuations applying sample selection model to GPS panel data: Dynamics in individuals’ car use. Transportation Research Part D: Transport and Environment. 2015; 38 ():67-79.
Chicago/Turabian StyleD Dujuan Yang; Hjp Harry Timmermans. 2015. "Analysis of consumer response to fuel price fluctuations applying sample selection model to GPS panel data: Dynamics in individuals’ car use." Transportation Research Part D: Transport and Environment 38, no. : 67-79.
People’s adaptive behaviour to increasing energy prices has been studied at length in transportation research. Prior research however has not addressed research questions concerning the contribution of travel-related changes in more encompassing energy conservation strategies. Moreover, context-dependency and choice under constraints has not been studies at any length. In this paper, we therefore report the results of a context-dependent elaboration of a mixture amount choice experiment to measure context-dependent responses to accumulative energy charges under budget constraints. Accounting for consumer heterogeneity in adaptive response behaviour, mixed logit analysis is used to analyse the extent and nature of adaptations of activity-travel behaviour and resource allocation in response to increasing energy costs. The results indicate that individuals are inclined to compensate for increased expenditures on energy due to price increases. Moreover, results show the existence of significant heterogeneity among respondents in terms of their adaptation strategies to various energy-saving choices.
Dujuan Yang; Harry Timmermans; Aloys Borgers. The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment. Transportation 2014, 43, 79 -100.
AMA StyleDujuan Yang, Harry Timmermans, Aloys Borgers. The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment. Transportation. 2014; 43 (1):79-100.
Chicago/Turabian StyleDujuan Yang; Harry Timmermans; Aloys Borgers. 2014. "The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment." Transportation 43, no. 1: 79-100.
Dujuan Yang; Harry Timmermans. Effects of Urban Spatial Form on Individuals’ Footprints: Empirical Study Based on Personal GPS Panel Data from Rotterdam and Eindhoven Area. Procedia Environmental Sciences 2014, 22, 169 -177.
AMA StyleDujuan Yang, Harry Timmermans. Effects of Urban Spatial Form on Individuals’ Footprints: Empirical Study Based on Personal GPS Panel Data from Rotterdam and Eindhoven Area. Procedia Environmental Sciences. 2014; 22 ():169-177.
Chicago/Turabian StyleDujuan Yang; Harry Timmermans. 2014. "Effects of Urban Spatial Form on Individuals’ Footprints: Empirical Study Based on Personal GPS Panel Data from Rotterdam and Eindhoven Area." Procedia Environmental Sciences 22, no. : 169-177.
Dujuan Yang; Harry Timmermans; Anna Grigolon. Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis. Journal of Transport Geography 2013, 33, 170 -179.
AMA StyleDujuan Yang, Harry Timmermans, Anna Grigolon. Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis. Journal of Transport Geography. 2013; 33 ():170-179.
Chicago/Turabian StyleDujuan Yang; Harry Timmermans; Anna Grigolon. 2013. "Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis." Journal of Transport Geography 33, no. : 170-179.