Medical-purposed travel behaviors in rural areas in developing countries: a case study in rural Cambodia

This study aimed at identifying influencing factors in an individual’s choice of health service facility and transportation mode to the facility, using two datasets: one collected through face-to-face interviews held between February and March 2016, containing responses from 258 local residents, and the other collected from 45 residents in the follow-up survey in December 2016. The study area was located in rural Cambodia, where road conditions were recently improved and a health sector policy was implemented to assist poor people in accessing to health services. An empirical analysis was carried out using nested logit models, consisting of two choices of three travel modes (private, shared, or walking) and two types of public health service facilities (health center or referral hospital). The results revealed the following: (1) individuals in households with motorcycles tend to visit health service facilities using private travel modes, whereas individuals in households without their own transportation tend to visit health service facilities using shared travel modes or on foot, and (2) travel distance between individuals’ houses and the selected facilities likely discourages people from visiting referral hospitals, where a variety of health services are available, but does not affect the choice of health centers, offering limited health services while being located closer to residential areas. These findings suggested the need to equip health centers with more functions as health service providers and to operationalize public transportation services for those who cannot afford to visit referral hospitals, which would enable people to receive necessary health services more conveniently.

     

Effects of household structure and accessibility on travel

The concept of accessibility has been widely used in the transportation field, commonly to evaluate transportation planning options. The fundamental hypothesis of many studies related to accessibility could be “greater accessibility leads to more travel”. However, several studies have shown inconsistent results given this common hypothesis, finding instead that accessibility is independent of the trip/tour frequency. In addition, empirical aggregate urban modeling applications commonly produce either non-significant or negative (wrong sign) relationships between accessibility and the trip/tour frequency. For this reason, many practitioners rarely incorporate a measure of accessibility into trip/tour generation models out of consideration of the induced demand. In this context, this study examined the effect of accessibility in urban and suburban residences on the maintenance and discretionary activity tour frequencies of the elderly and the non-elderly using household travel survey data collected in the Seoul Metropolitan Area of Korea. The major finding of this study is that a higher density of land use and better quality of transportation service do not always lead to more tours due to the presence of intra-household interactions, trip chaining, and different travel needs by activity type. This finding implies that accessibility-related studies should not unquestioningly accept the common hypothesis when they apply accessibility measures to evaluate their transportation planning options or incorporate them into their trip/tour generation models.     

Impacts of regional transportation improvements on urban development in Japan

Urban agglomerations in Tokyo and Osaka in post-war period are largely attributable to the policies underlying the four National Development Plans implemented in that period. These policies, which were originally intended to achieve an effect on the opposite of agglomeration, relate primarily to the high-speed transit network known as the Tokaido shinkasen and the expressway segments linking the Kanto and Kansai regions. For the purpose of capturing the historical scenario of regional agglomeration, we have formulated a long-term macro-econometric model from 1950–85, with 5-year simulation cycles. This constitutes an employment distribution block, an input-output block, and an inter-prefectural activities block, incorporating all major macro-variables. In an earlier stage of this research the model was calibrated and the total tests upon all formulations were completed. Ascertaining that the accuracy of the model is well within permissible limits, an evaluation of policy scenarios due to the delay in the introduction of the shinkansen on the Tokaido line, has been conducted. Results indicate that Tokyo grows much less rapidly than in reality, Osaka maintains the same rate of growth, and the other areas show a substantial growth by 1985. In the present version, we improve on the model with respect to its qualitative performance by relaxing the exogeneity of national employment and GNP to allow for the evaluation of these policy variables. In completing these final tests on the model, we are able to confirm the validity of the model by demonstrating its accuracy to be in a satisfactory range. In a case study, the policy areas that have contributed to the present distribution of development have been explored in detail. Comparative policy transformations, necessary to achieve the opposite effects to agglomeration, are discussed.     

Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains

Using the conceptual framework of time–space geography, this paper incorporates both spatio-temporal constraints and household interaction effects into a meaningful measure of the potential of a household to interact with the built environment. Within this context, personal accessibility is described as a measure of the potential ability of individuals within a household not only to reach activity opportunities, but to do so with sufficient time available for participation in those activities, subject to the spatio-temporal constraints imposed by their daily obligations and transportation supply environment. The incorporation of activity-based concepts in the measurement of accessibility as a product of travel time savings not only explicitly acknowledges a temporal dimension in assessing the potential for spatial interaction but also expands the applicability of accessibility consideration to such real-world policy options as the promotion of ride-sharing and trip chaining behaviors. An empirical application of the model system provides an indication of the potential of activity-based modeling approaches to assess the bounds on achievable improvements in accessibility and travel time based on daily household activity patterns. It also provides an assessment of roles for trip chaining and ride-sharing as potentially effective methods to facilitate transportation policy objectives.     

Exploring the mechanism governing the relative use of major and minor roads in urban areas

A grid model of major and minor roads in an urban area is used to explore some reasons why through traffic will use either or both types of road. It is assumed that individual road users will minimize their own travel time without regard to other users. Results are discussed for several typical urban traffic conditions as are the equilibrium flows on major and minor roads.     

The asymmetric income effect on household vehicle ownership in Taiwan: A threshold cointegration approach

This paper uses the asymmetric threshold cointegration test to examine the asymmetric relationship between household income and vehicle ownership in Taiwan, presenting estimated asymmetric error correction models. The empirical data include information on household income, car ownership and motorcycle ownership in different regions from 1974 to 2009. The results show that, first, motorcycle ownership is asymmetrically cointegrated with household income in each region, and car ownership is asymmetrically cointegrated with household income in all regions except Taipei city. Second, both car and motorcycle ownership levels increase faster than they decrease in the asymmetric adjustment of their long-run relationship. Third, sensitivity tests for the period 1987-2009 show that the cointegration relationship of the car ownership equations vanished. Finally, we find evidence on the effects of household income on motorcycle ownership, and the effects of income variables on car and motorcycle ownership are dissimilar. This study exhibits different results across regions. These findings may be related to the development of public transit system in each region.     

Impact of horizontal geometric design of two-lane rural roads on vehicle co2 emissions

In 2014, highway vehicles accounted for 72.8% of all Greenhouse Gases emissions from transportation in Europe. In the United States (US), emissions follow a similar trend. Although many initiatives try to mitigate emissions by focusing on traffic operations, little is known about the relationship between emissions and road design. It is feasible that some designs may increase average flow speed and reduce accelerations, consequently minimizing emissions.This study aims to evaluate the impact of road horizontal alignment on CO₂ emissions produced by passenger cars using a new methodology based on naturalistic data collection. Individual continuous speed profiles were collected from actual drivers along eleven two-lane rural road sections that were divided into 29 homogeneous road segments. The CO₂ emission rate for each homogeneous road segment was estimated as the average of CO₂ emission rates of all vehicles driving, estimated by applying the VT-Micro model.The analysis concluded that CO₂ emission rates increase with the Curvature Change Rate. Smooth road segments normally allowed drivers to reach higher speeds and maintain them with fewer accelerations. Additionally, smother segments required less time to cover the same distance, so emissions per length were lower. It was also observed that low mean speeds produce high CO₂ emission rates and they increase even more on roads with high speed dispersions.Based on this data, several regression models were calibrated for different vehicle types to estimate CO₂ emissions on a specific road segment. These results could be used to incorporate sustainability principles to highway geometric design.     

Four-step travel demand model implementation for estimating traffic volumes on rural low-volume roads in Wyoming

This study develops a four-step travel demand model for estimating traffic volumes for low-volume roads in Wyoming. The study utilizes urban travel behavior parameters and processes modified to reflect the rural and low-volume nature of Wyoming local roads. The methodology disaggregates readily available census block data to create transportation analysis zones adequate for estimating traffic on low-volume rural roads. After building an initial model, the predicted and actual traffic volumes are compared to develop a calibration factor for adjusting trip rates. The adjusted model is verified by comparing estimated and actual traffic volumes for 100 roads. The R-square value from fitting predicted to actual traffic volumes is determined to be 74% whereas the Percent Root Mean Square Error is found to be 50.3%. The prediction accuracy for the four-step travel demand model is found to be better than a regression model developed in a previous study.     

Job accessibility and joint household travel: a study of Hong Kong with a particular focus on new town residents

Transportation - This study advances understanding of the role of residential location in joint household travel and activities for non-work purposes in an Asian city context. This has been done by...     

Improvements and rationalizations of bus service in rural areas of Denmark

This paper presents an empirical investigation of the effects of marginal changes in public bus transport in rural areas. It is based on a larger study of bus services in rural areas of Denmark (Hansen, 1986). At the beginning of the 1980s, politicians suddenly demanded reductions in public expenditures. Therefore, the Regional Transportation Corporations reduced services and increased fares. However, this article shows that it is possible to meet the demand for reduced subsidy and the passengers' wishes for better service simultaneously. Where the empirical investigations show fare elasticities of about -0.2, the service elasticities seem to be numerically above 1. In the last part of the paper these findings are applied to an alternative saving policy.     

Factors affecting mortality of vertebrates on the roads in the Czech Republic

This paper summarizes the results of monitoring animals killed by vehicles on selected roads in the Czech Republic as well as the circumstances of these accidents. Relationships between species of road-killed animals and factors associated with these accidents were evaluated, such as type of road and traffic density, distance from the built-up area, state of vegetation around the road, terrain topology with regard to the road, and the impact of the month/season.     

Assessing the impact of long-term mobility choice motivation and short-term mobility means connotation on the use intention of electric cars in rural areas

In this study several hypotheses comprising a heuristic framework derived from rational-choice (RC) premises and regarding some potentially influencing variables on future use intention of different vehicle types are tested with a rural area sample. Especially the differentiation between long-term vs. short-term as well as functional/rational vs. extra-functional/emotional motivators is assessed. Results suggest a predominance of functional motivators and rational connotations over extra-functional/emotional ones. The models to check whether short-term or long-term effects dominate did not clearly confirm a predominance of long-term factors as hypothesized. In several regression models a moderating effect of rational short-term connotations on different long-term motivators was found, thus contributing notably to the prediction of future vehicle use-intention. The need for further research and theory-driven modeling is briefly discussed.     

A continuum model for the dispersion of traffic on two-lane roads

A continuum model for two-lane traffic flow is developed using the theory of kinematic waves in which the wavespeeds in the two lanes are assumed constant but unequal. The transient behaviour is found exactly using Riemann's method of characteristics and an asymptotic model of the long time flow is described. It is shown, that for large times, the traffic concentration moves with a weighted mean wavespeed of the two lanes and disperses about this mean speed as a result of interlane concentration differences generated by the relative wavespeeds. The dispersion can be described by a virtual coefficient of diffusion proportional to the square of the differences of the two wavespeeds and inversely proportional to the rate of lane changing. The technique is extended to describe three-lane traffic flow and to include the dependence of wavespeed upon concentration.     

The influence of transportation improvements on interregional trade in Brazil

In this study the impact of transportation improvements on Brazilian interregional commodity flows are considered. The decreasing friction of distance is measured by two variants of the gravity model. First, distance coefficients are calculated for trade among all states in 1942 and 1962. Second, distance coefficients for each state's imports are calculated separately and then related to state per capita income, for the year, 1962. Both the time-series and cross-section results indicate a significant diminution in the friction of distance in the course of Brazilian development. The degree to which trade has integrated the national economy is assessed by the convergence of agricultural prices. Not only have interregional price differentials tended to diminish, but regional price structures are becoming more similar. The interrelation of these price structures provides a method of regionalizing the Brazilian space-economy.Most of the data for this study were collected during the author's tenure as Ford Foundation Visiting Professor at Instituto de Pesquisas Economicas, Universidade de Sao Paulo, Brazil. The Milton Fund and the Department of City and Regional Planning, both of Harvard, sustained the completion of this research. Milton Campanario and Abby Rashid provided invaliable assistance in assembling the data. Jeffrey Dutton of the Harvard Laboratory for Computer Graphics provided a program for calculating distances. William McAuliffe suggested some imaginative interpretations of the factor analysis.     

Commercialising the management and maintenance of trunk roads in the United Kingdom

Public funding of new infrastructure from money raised through taxes or borrowing has been questioned globally in recent years. One alternative solution has been to finance major capital projects through Build, Operate & Transfer (BOT) schemes. In the United Kingdom, the Private Finance Initiative (PFI) has become established as the procurement method of choice for many projects and services in central and local government. It is a natural development of other changes in government administration which have been introduced over the past few years. Projects delivered in this way enable government to become a buyer of services on behalf of the public rather than a direct provider of those services to the public, taking advantage of private sector management skills and resources in their delivery. The PFI has demonstrated its ability to deliver value for money solutions in projects across a range of capital-intensive public services, but the greatest success in delivering projects has been in the transport sector. This paper outlines how the British Government's Highways Agency has restructured and commercialised the management and maintenance of the strategic road network for which it is responsible, and how it has been at the forefront of developing successful privately financed projects. The paper explains the Agency's particular version of BOT – Design, Build, Finance and Operate (DBFO) projects. These projects are delivering new and improved road construction and maintenance, providing better services to users of the country's strategic road network and achieving significant value for money savings for taxpayers.     

The market acceptance of electric motorcycles in Taiwan experience through a stated preference analysis

The environmental and energy concerns of using motorcycles in urban areas have fostered the rapid development development of electric motorcycles (EMs) in Taiwan in recent years. EMs' zero-emission, low noise level and high energy efficiency features provide the promising potential to alleviate the severe environmental pollution problem caused by the existing gasoline motorcycles. This study summarizes the recent development of the EM. More specifically, this study aims to analyze the potential demand for EMs based on an interview survey using stated preference modeling approaches. Study results show that female motorists are the potential target market for EMs. Developmental and energy-use issues of EMs are also discussed in this study.     

The effect of prices and income on car travel in the UK

The objective of this paper is to analyse the factors determining household car travel, and specifically the effects of household income and the prices of cars and motor fuels, and to explore the intertemporal pattern of adjustment. The question of asymmetry in the response to rising and falling income is also addressed. Such asymmetry may be caused by habit or resistance to change or the tendency to acquire habits to consume more easily than to abandon them. The impact of prices, the speed of adjustment and the resistance to change will be important in determining the possibility of influencing travel behaviour and specifically car use. The study utilises repeated cross-section data from the annual UK Family Expenditure Surveys and employs a pseudo-panel methodology. The results are compared with those for car ownership estimated on the basis of similar models.     

Remoteness and accessibility in the vulnerability analysis of regional road networks

This paper considers the development of a method for network vulnerability analysis which considers the socio-economic impacts of network degradation and seeks to determine the most critical locations in the network. The method compares the levels of remoteness (or its inverse, accessibility) of localities within the study region, on the basis of the impacts of degradation of the road network on a recognised accessibility/remoteness index that can be applied to each and every location within the region. It thus extends the earlier work on accessibility-based vulnerability analysis which was limited to assessment of impacts on selected nodes in a network. The new method allows study of impacts on both specified locations (which do not have to be represented as network nodes) and the region as a whole. The accessibility/remoteness index is defined so that an accessibility surface can be calculated for the region, and the volume under this surface provides an overall measure of accessibility. Changes in the volume under different network states thus reflect the overall impacts. The method is applied to a rural region in south east Australia.     

Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic

Connected Vehicles (CV) equipped with a Speed Advisory System (SAS) can obtain and utilize upcoming traffic signal information to manage their speed in advance, lower fuel consumption, and improve ride comfort by reducing idling at red lights. In this paper, a SAS for pre-timed traffic signals is proposed and the fuel minimal driving strategy is obtained as an analytical solution to a fuel consumption minimization problem. We show that the minimal fuel driving strategy may go against intuition of some people; in that it alternates between periods of maximum acceleration, engine shut down, and sometimes constant speed, known in optimal control as bang-singular-bang control. After presenting this analytical solution to the fuel minimization problem, we employ a sub-optimal solution such that drivability is not sacrificed and show fuel economy still improves significantly. Moreover this paper evaluates the influence of vehicles with SAS on the entire arterial traffic in micro-simulations. The results show that SAS-equipped vehicles not only improve their own fuel economy, but also benefit other conventional vehicles and the fleet fuel consumption decreases with the increment of percentage of SAS-equipped vehicles. We show that this improvement in fuel economy is achieved with a little compromise in average traffic flow and travel time.     

An econometric model of vehicle use in the household sector

Vehicle-use modelling at the household level has taken on new importance with the pressures on governments to encourage more efficient utilisation of increasingly scarce nonreplenishible liquid fuels. The fundamental energy equation recognizes two direct influences on consumption—the fuel efficiency of the vehicle and the amount of use. Until recently, the interrelationship between vehicle choice and vehicle utilisation at the household level was acknowledged but ignored. The availability of reliable vehicle-use data at the household level now enables a more serious effort at amending the imbalance of research effort where the reliance has been predominantly on vehicle choice modelling and gross (exogenous) assumptions on utilisation as a basis for predicting fuel consumption. This paper proposes an econometric method for identifying the influences on household vehicle use. It differs from previous empirical work in that vehicle kilometers, fuel cost per kilometer and vehicle fuel efficiency are endogenous, with utilisation of each vehicle endogeneously dependent on the utilisation of each and every household vehicle. The data are drawn from wave 1 of a four-wave panel of 1436 households in the Sydney metropolitan area. The empirical findings expose a set of influences on use hitherto not considered. The model specification provides an appropriate module for integration with household-based discrete choice models of vehicle choice.