An urban mobility index for evaluating and reducing private motorized trips

Moeinaddini, Mehdi; Asadi-Shekari, Zohreh; Shah, Muhammad Zaly

doi:10.1016/j.measurement.2014.11.026

Cited by 40 publications

(27 citation statements)

References 53 publications

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“…Ridership can be affected by the quality and quantity of transit service [16]. The results of the studies that have been done in this area show that reliable public transport has the quality to encourage people to change their travel behaviour from private car usage to public systems of transportation.…”

Section: Resultsmentioning

confidence: 99%

“…Public transport in the urban cities came into existence to fulfil transportation needs as well as mobility and accessibility demands. Public transportation has developed fast, hence, the need for vast public transportation system felt more than ever [16]. Economic development, mobility enhancement and health improvement are some of the various benefits of the smart mobility solutions.…”

Section: Resultsmentioning

confidence: 99%

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A preliminary survey analysis of school shuttle bus system towards smart mobility solutions

Yue¹,

Hoy²,

Chye³

2017

AIP Conference Proceedings

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Abstract. Mobility and accessibility are crucial indicators of urban development. Public transport in the urban areas came into existence to fulfil transportation needs as well as mobility and accessibility demands. Ridership can be affected by the quality and quantity of transit service. However, technical improvements are needed for such as real-time bus information, controlling run time and headway delay. Thus, this paper is aimed to carry out a preliminary survey to determine the problems of school shuttle bus that faced by the students in a selected educational institution, their perceptions of using shuttle bus tracking and information mobile application and impacts of real-time information of public transits on bus ridership and towards smart mobility solutions. Efficient public transportation system needs further investigation about the role of mobile application for the bus tracking system in supporting smart mobility actions and real-time information. The proposed application also provides a smart solution for the management of public infrastructures and urban facilities in Malaysia in future. Eventually, this study opens an opportunity to improve Malaysian quality of life on the public value that created for the city as a whole.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A preliminary survey analysis of school shuttle bus system towards smart mobility solutions

Yue¹,

Hoy²,

Chye³

2017

AIP Conference Proceedings

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“…The model of mass road transport needs to be replaced by na integrated transport model that aims to restrict traffic growth, reduce social impacts and apply more environmentally friendly sustainable technologies (Glaeser & Kahn, 2010;Vieira & Fransoo, 2015;TERM, 2000). Brown (2003) argues that cities that are more dependente on car utilization have greater issues of congestion and mobility difficulties than cities offering other displacement options (Moeinaddini, Asadi-Shekari & Shah, 2015;Vieira & Fransoo, 2015). Traffic jam arises because there is insufficient capacity for the current demand, resulted from misunderstanding associated with urban planning or lack thereof.…”

Section: Urban Mobilitymentioning

confidence: 99%

Distribution in Large Urban Centers: Mobility Disabilities Generating Complex Logistics

Freitas

Martins

2018

RORAIMA MANAGEMENT REVIEW

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Urban population growth in developing countries has transformed mobility in large urban centers more dramatic. In this way, the routine of companies and citizens suggest that restrictions of urban mobility seem to affect the traditional business distribution in large cities. Therefore, this research proposes to analyze how the literature has dealt with the impact of deficiencies in urban mobility on logistic capacities. It was possible to verify that the deficiencies of urban mobility have led to economic activities dispersion by the environment, which implies in an increase of small vehicles fleet and, consequently, resulting in the worse in mobility of goods and people in these cities.

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“…The changing traffic patterns in the future (Moeinaddini et al, 2012), especially Induced Traffic Effect (Cervero and Hansen, 2002;Cervero, 2003) which says that the improvement in transportation facilities more often than not results in generation of new traffic demand because of new users who did not use these facilities when the new developments were not in place i.e. increase in highway capacity attracts new traffic, and the Rebound Effect (Hymel et al, 2010) which highlights the more-thanbefore use of transportation facilities by the current users due to availability of new and improved services.…”

Section: Need For Traffic Forecastingmentioning

confidence: 99%

Modeling Growth Trend and Forecasting Techniques for Vehicular Population in India

Jha¹,

Sinha²,

Arkatkar³

et al. 2013

IJTTE

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Forecasting and estimation of growth in vehicular population is a sine qua non of any major transportation engineering development, requires capturing the past trend and using it to predict the future trend based on qualified assumptions, simulations and models created using explanatory variables. This work attempts to review the in vogue approaches and investigate a more contemporary approach, the Time Series (TS) Analysis. Three fundamentally different methods were explored and results from each of these analyses were collated to check for respective levels of accuracy in predicting vehicular population for the same target year. Within the scope of this study and estimation, results obtained from TS Analysis were found to be considerably more accurate than those from Trend Line Analysis and observably better than those from Econometric Analysis. To reinforce these observations and inferences drawn, a second set of analysis was done on more recent input by using AADT data from PeMS, California. Inter alia this was carried out to contrast any statistical improvement observed when doing TS analysis with rich and accurate data. With all the data sets used and locations analyzed for forecasting, the Time Series analysis technique was invariably found to be a potent tool for forecasting.

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An urban mobility index for evaluating and reducing private motorized trips

Cited by 40 publications

References 53 publications

A preliminary survey analysis of school shuttle bus system towards smart mobility solutions

A preliminary survey analysis of school shuttle bus system towards smart mobility solutions

Distribution in Large Urban Centers: Mobility Disabilities Generating Complex Logistics

Modeling Growth Trend and Forecasting Techniques for Vehicular Population in India

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