Citizens’ survey for the implementation of a new means of transport (original) (raw)
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Policy Analysis for New Commuter Rail and Road Pricing Alternatives Using an SP Survey in Abidjan
Transportation Research Procedia, 2017
In Abidjan, a road pricing scheme is currently under review as a transportation control measure along with operation of a new commuter rail system. While this scheme may be effective for congestion reduction in central business district (CBD), provision of alternative means of transportation for the "pushed-out" auto users is of great importance to obtain public acceptance. Hence, it is necessary to simulate simultaneously the road pricing scheme and the commuter rail development which may serve as an alternative for assumed pushed-out auto users. Utilizing data from the available opinion survey, this paper studies how commuter rail and auto ridership are likely to vary as a function of travelers and system attributes. Additionally, the study attempts to evaluate the way this new travel mode is distinguished from other existing conventional transportation alternatives in Abidjan. The survey data contains socioeconomic information of over 4,000 respondents as well as details of to-work/school or to-other trips to CBD including the mode, travel cost, time, etc. Respondents were then asked about their willingness to shift from their current mode to commuter rail to make the same travel for different commuter rail fare levels. Modeling efforts suggest that a mixed logit model performs better in explaining choice behavior. Therefore, this model was used for policy simulation. The simulation results brought about many implications as to the tested policies. While the developed model may be applied only to future commuter rail corridors in which the survey was conducted, it captures the key variables that are significant to explain mode choice behavior and presents great potential for practical use in policy simulation and analysis in a large metropolitan area of the developing world.
Users’ preferences towards innovative and conventional public transport
Procedia - Social and Behavioral Sciences, 2011
The potential in urban environments of innovative public transport systems based on automation is being investigated within the CityMobil project (2006-2011). The Rome demonstration is implementing a cybernetic transport system (CTS) to connect the new fair with the car park. For this, a demand study has been carried out with a view to assessing the attitudes of the users towards innovative and conventional systems. A stated preference survey has been designed based on two questionnaires: one for the choice between foot and CTS, one for the choice between foot and a minibus. The responses to the two questionnaires have been pooled and a logit model has been calibrated using the joint maximum likelihood. The results are indicative of the relative preference of the users for innovation, as the demand for CTS is higher than the demand for minibus, the scenario and level-of-service attributes being the same. The hypothesis of heterogeneity across individuals of the attitude towards innovation is tested using a mixed logit formulation. Finally, the variation of preferences with the characteristics of the users, including gender, age and education, is explored.
Revista de Arquitetura IMED, 2017
Public transport and private cars, when combined with urban planning, tend to contribute to the development of local sustainability. The objective of the research is to analyze the population perception regarding the use of public transportation and private cars in the city of Passo Fundo, RS, Brazil, seeking to understand the population's preference for private transportation and public transport. Methodologically, a 90% confidence interval and a 10% sample error were used to select the 68 questionnaires applied, where multiple choice questions were used. The results revealed that 66% of the interviewed people use public transport, but they evaluate it as of poor quality. As a proposal for the improvement of motorized mobility, the Car Sharing system of three organizations: ZipCar, ZasCar and Car2Go was carried out to suggest the implementation of the system in the city. The results of the study demonstrated the feasibility of the Car Sharing System as an alternative for improv...
Jurnal Indonesia Sosial Sains, 2024
The primary objective of this research is to investigate public transportation governance in Banyumas Regency using the New Public Management (NPM) paradigm, with the aim of enhancing efficiency and effectiveness. The study focuses on understanding the factors that influence people's preferences for public transportation modes, particularly in relation to availability, cost, comfort, safety, and environmental concerns. The research also aims to address the challenges associated with the perception of private vehicles as status symbols, recognizing their impact on economic and societal development. The study employs quantitative methods and the SmartPLS4 analysis tool to uncover significant findings regarding the positive impacts of availability and comfort on preferences and the varying influences of cost, environment, and security. The ultimate goal is to provide insights that can inform the development of transportation policies, promoting effectiveness and alignment with the community's needs in Banyumas Regency.
Determinants of the demand for urban transport: results of a case study
2009
In questo lavoro vengono presentati i risultati di un'indagine empirica provenienti dalla stima di un random utility model. L'analisi di un caso di studio pone in evidenza come, nonostante l'attuale erogazione di un servizio di trasporto urbano non soddisfacente, per il futuro c'è da aspettarsi una crescente domanda di trasporto collettivo. Tuttavia, cambiamenti nello split modale necessitano un incoraggiamento per mezzo di appropriate politiche trasportistiche di supporto che potrebbero anche culminare nel raggiungimento dell'obiettivo più ampio della sostenibilità. Questo significa ridurre l'utilizzo del mezzo privato e favorire l'usufruizione delle modalità collettive. I risultati dell'indagine, inoltre, suggeriscono per il futuro che è fondamentale tener conto delle reali esigenze dell'utenzaeffettiva e potenziale-al fine di fornire un servizio di trasporto adeguato alle concrete necessità della domanda. Gli operatori di TPL, pertanto, dovrebbero assumere più un ruolo di demand developers che di service producers. This paper presents some empirical results stemming from the estimation of a random utility model. With regard to the case study, the main findings are that notwithstanding the existence of a mediocre transport urban service, people would be in favour of using buses in the future. But this shift towards public transport needs to be encouraged through appropriate policies which could culminate in the achievement of a greater sustainability, otherwise we will most certainly have a difficult future characterised by higher car ownership and car usage.
Identifying preferences for public transport investments under a constrained budget
Transportation Research Part A: Policy and Practice, 2015
As urban areas face increasing demands for new transport infrastructure to promote a sustainable future with an increasing reality of constrained government budgets, the debate on whether we should focus on rail or bus-based investments continues unabated in many jurisdictions. Associated with the debate is an emotional (or ideological) bias by communities in favour of one mode, especially rail, which carries much sway at the political level as if there is no budget constraint. This paper presents a stated choice experiment to investigate this context as two unlabelled options described by 20 potential drivers of community preferences for improved public transport, where each choice scenario is conditioned on an estimated construction cost and a total annual transport infrastructure budget for the relevant geographical jurisdiction. This is followed by a labelling of each alternative to reveal whether the option is bus rapid transit (BRT) or light rail (LRT) and to establish whether this additional information influences preference revision. Data is collected in all eight capital cities of Australia in mid 2014. Mixed logit models with heteroscedastic conditioning in terms of the cost of the project infrastructure and whether the alternative is labelled BRT or LRT, provide new evidence on the nature and extent of community modal bias in a budget-constrained choice setting. The conclusions are twofold. On the one hand, if a fully compensatory choice rule is assumed (as is common in all previous modal comparison studies), LRT is predominantly preferred over BRT despite budgetary constraints, similarities in quality of service attributes and the opportunity to choose a greater network coverage for a given construction cost. However, when we allow for attribute non-attendance (a semi-compensatory choice rule), the modal bias is no longer a significant driver of preferences.
Transport Policy, 2011
Modeling travel demand is a vital part of transportation planning and management. Level of service (LOS) attributes representing the performance of transportation system and characteristics of travelers including their households are major factors determining the travel demand. Information on actual choice and characteristics of travelers is obtained from a travel survey at an individual level. Since accurate measurement of LOS attributes such as travel time and cost components for different travel modes at an individual level is critical, they are normally obtained from network models. The networkbased LOS attributes introduce measurement errors to individual trips thereby causing errors in variables problem in a disaggregate model of travel demand. This paper investigates the possible structure and magnitude of biases introduced to the coefficients of a multinomial logit model of travel mode choice due to random measurement errors in two variables, namely, access/egress time for public transport and walking and cycling distance to work. A model was set up that satisfies the standard assumptions of a multinomial logit model. This model was estimated on a data set from a travel survey on the assumption of correctly measured variables. Subsequently random measurement errors were introduced and the mean values of the parameters from 200 estimations were presented and compared with the original estimates. The key finding in this paper is that errors in variables result in biased parameter estimates of a multinomial logit model and consequently leading to poor policy decisions if the models having biased parameters are applied in policy and planning purposes. In addition, the paper discusses some potential remedial measures and identifies research topics that deserve a detailed investigation to overcome the problem. The paper therefore significantly contributes to bridge the gap between theory and practice in transport.
Production Journal, 2022
The growing activities of transport worldwide have increased sector-related problems, e.g., traffic deaths and injuries, congestion, noise, and air pollution (Ribeiro et al., 2007; Silva et al., 2015; Zailani et al., 2016). The main cause attributed to these problems is the rapid growth of private vehicles and social habits in their favor, reducing the use of sustainable transport, such as public transportation (Vij et al., 2013; Chiou et al., 2015; Zailani et al., 2016). Lima & Machado (2019) state that cities must be well planned to guarantee equal access to all people and seeking sustainable efficient urban mobility solutions. Several challenges are involved in the process of moving people safely and comfortably to their desired destinations (Brunoro et al., 2015). Given technological advancements, there are now more mobility options, e.g., on-demand transportation and micro-mobility options (Meng et al., 2020; Davies et al., 2020). Nonetheless, public transportation is still one of the most sustainable modes of mass mobility transportation over long distances. Public Transportation (PT) provides affordable and sustainable mobility solutions, and is essential for economic interests and societal well-being (Kaeoruean et al., 2020), especially in promoting social equity (Zuo et al., 2020).
Technology choices in public transport planning: A classification framework
Research in Transportation Economics, 2020
Choice of public transport technologies in cities is not straightforward: while the academy focuses on optimization models to determine which modes should a specific city have, policy makers rely on simple recommendations which are based on city population and income. We estimated six types of classification models that could allow for more precise recommendations yet are simple enough to be applied by the authorities. We considered typical variables as population and Gross Domestic Product of cities but also geographic and morphologic characteristics in a database of 400 cities from North and South America. Ordered Probit and Multinomial Logit models were the most accurate, with a success rate over 80% in the validation subset. Among the explanatory variables, city population and GDP per capita were as expected the most significant, but fare integration, car ownership and city shape were also relevant. Even if existent public transport modes in cities are not necessarily optimal, the classification models developed can give an insight for policy makers, in the sense that cities whose public transportation complexity cannot be explained by the models are more likely to have a suboptimal public transportation system.
RePEc: Research Papers in Economics, 1997
The future sustainability of the urban transport system is largely determined by th e technological composition of and measures introduced in the system. This composition is dependent on many background factors. This paper investigates this relationship b y means of a panel analysis of experts' opinions on developments of background factor s and scores attached to the importance of transport modes in the year 2030; i n addition, the model also includes personal features of the respondents. The mai n findings are that: a reversal of the individualization has a negative impact on severa l types of modes, which may be explained by a lower mobility level; the main decisio n level influences the importance of new and collective transport modes and the urba n spatial organization has also a clear impact on the importance of collective modes. I t is concluded that when governments wish to reduce the external costs of urba n transport, developments in society, the spatial organization and the institutiona l environment-as well as general policies, other than transport oriented but influencing these developments-have to be taken into account by composing urban transpor t policy packages. In the panel data literature, the relevant term is "period" since one usually deals with modelling 1 repeated observations over time. They apply an estimation proposed by Chamberlain which avoids maximum likelihood techniques 2 to stated choice data with repeated observations. In their empirical application, the dependency of the error terms across "states" appears to play no significant role.