Book reviews

TRANSPORT AND REURBANISATION, by Leo H. Klaassen, Jan A. Bourdrez and Jacques Volmuller. Gower Press, England, 1981. 214 pp.

TRANSPORT AND PUBLIC POLICY PLANNING, edited by David Banister and Peter Hall. Mansell Publishing Ltd., London, 1981. 455 pp.

ACCESS FOR ALL by K. H. Schaeffer and Elliott Sclar. Columbia University Press, 1982. 182 pp.

ENVIRONMENTAL ANALYSIS OF TRANSPORTATION SYSTEMS, by Louis F. Cohn and Gary R. McVoy. John Wiley, 1982. 374 pp. (£35.00).

THE ECONOMICS OF URBAN FREIGHT TRANSPORT, by K. J. Button and A. D. Pearman. The MacMillan Press Ltd., London. 218 pp. (£20.00).

TRANSPORTATION MARKINGS, BY Brian Clearman. University Press of America, 1981. 459 pp.

REGULATION AND POLICIES OF AMERICAN SHIPPING, by Ernst G. Frankel, Auburn House Publishing Co., Boston, Massachusetts. 321 pp. ($24.95)     

The MEPLAN models of Bilbao,Leeds and Dortmund

A trio of closely related land‐use/transport interaction models was developed using Marcial Echenique & Partners’ software package MEPLAN. The models were for the cities of Bilbao, (Spain), Dortmund (West Germany) and Leeds (England). All were calibrated using data drawn from earlier studies. The three models were used to predict the effects (relative to a base case) of a common programme of land‐use and transport policies or scenarios. This paper explains briefly the theoretical basis of the MEPLAN package as applied to urban models such as these three; describes the types of policies that have been assessed; and presents some of the key results.     

The importance of industrial and socio-economic considerations for maritime management and newly developed ecosystem based management plans

Commercial maritime management activities have significant industrial and socio-economic dimensions that need to be addressed from the onset of the policy planning and policy-making process. This commentary addresses the importance of industrial and socio-economic dimensions and the need to formalize their role in newly developed ecosystem based fisheries management plans that are currently being considered in the USA. It builds upon a discussion presented in this journal by Everett (2005).     

Supplemental infrastructure: how community networks and immigrant identity influence cycling

Transportation - While factors such as urban form, infrastructure, and attitudes shape cycling behavior, the experience of cycling can vary drastically across socioeconomic and identity groups. For...     

Joint modeling of evacuation departure and travel times in hurricanes

Hurricanes are costly natural disasters periodically faced by households in coastal and to some extent, inland areas. A detailed understanding of evacuation behavior is fundamental to the development of efficient emergency plans. Once a household decides to evacuate, a key behavioral issue is the time at which individuals depart to reach their destination. An accurate estimation of evacuation departure time is useful to predict evacuation demand over time and develop effective evacuation strategies. In addition, the time it takes for evacuees to reach their preferred destinations is important. A holistic understanding of the factors that affect travel time is useful to emergency officials in controlling road traffic and helps in preventing adverse conditions like traffic jams. Past studies suggest that departure time and travel time can be related. Hence, an important question arises whether there is an interdependence between evacuation departure time and travel time? Does departing close to the landfall increases the possibility of traveling short distances? Are people more likely to depart early when destined to longer distances? In this study, we present a model to jointly estimate departure and travel times during hurricane evacuations. Empirical results underscore the importance of accommodating an inter-relationship among these dimensions of evacuation behavior. This paper also attempts to empirically investigate the influence of social ties of individuals on joint estimation of evacuation departure and travel times. Survey data from Hurricane Sandy is used for computing empirical results. Results indicate significant role of social networks in addition to other key factors on evacuation departure and travel times during hurricanes.

     

The role of habit and residential location in travel behavior change programs,a field experiment

Transportation - Early evaluations of travel change programs demonstrated dramatic success in shifting people out of cars and into transit and active travel. Yet methodological shortcomings of...     

An analysis of the pricing system in the Greek–Italian coastal routes

Price discrimination is practiced by oligopolistic coastal shipping companies in the ‘unregulated’ Greece–Italy routes in the year 2002. Investigation has been carried out ‘per route’—in a doctoral thesis—instead of ‘per market’ which was the so-far erroneous approach of shipping economists. This is so for a host of differentiating factors play a considerable and non-negligible role (like geography, distance, demand, seasonality and others). Service—and price-discrimination—in coastal shipping is affected also by the predetermined ship design which thus is a special feature—but not exclusively—in coastal shipping. Companies in the Adriatic Sea try to extract the greater possible value of the user's willingness to pay, peak and off-peak, group and ungrouped, for social groups (clubs, families and students). Marketing and economics interfere in a complicated—far from the nice world of theory—situation, where maximization of revenue and profit, capacity utilization, intense seasonality and high fixed cost (common and joint costs as well) are a few of the factors that interplay. This paper can be considered as a case study for applied pricing. Excess capacity is also a strategic factor affecting pricing. It is our opinion that the analysis here gives for the first time a complete theoretical and practical account—based on the price lists of the companies—of the pricing policy of the ferry boats running in the Adriatic Sea belonging to coastal shipping companies connecting Italy with Greece and Greece with the European Union (EU). We believe this work to be useful for maritime Europe.     

Inferring origin–destination trip matrices from aggregate volumes on groups of links: a case study using volumes inferred from mobile phone data

The origin–destination matrix is an important source of information describing transport demand in a region. Most commonly used methods for matrix estimation use link volumes collected on a subset of links in order to update an existing matrix. Traditional volume data collection methods have significant shortcomings because of the high costs involved and the fact that detectors only provide status information at specified locations in the network. Better matrix estimates can be obtained when information is available about the overall distribution of traffic through time and space. Other existing technologies are not used in matrix estimation methods because they collect volume data aggregated on groups of links, rather than on single links. That is the case of mobile systems. Mobile phones sometimes cannot provide location accuracy for estimating flows on single links but do so on groups of links; in contrast, data can be acquired over a wider coverage without additional costs. This paper presents a methodology adapted to the concept of volume aggregated on groups of links in order to use any available volume data source in traditional matrix estimation methodologies. To calculate volume data, we have used a model that has had promising results in transforming phone call data into traffic movement data. The proposed methodology using vehicle volumes obtained by such a model is applied over a large real network as a case study. The experimental results reveal the efficiency and consistency of the solution proposed, making the alternative attractive for practical applications. Copyright © 2011 John Wiley & Sons, Ltd.     

Accessibility in the regional CGE framework: the effects of major transport infrastructure investments in Poland

Transportation - Since its EU accession, Poland has invested strongly in the development of fast road transport network. As a result, the total length of modern, high-speed roads has increased from...     

土地开发利用和社会经济发展对家庭汽车拥有量的影响——沙特阿拉伯利雅得市和澳大利亚墨尔本市的比较(英文)

汽车保有量取决于城市的土地开发模式。在一定时期内,一个地区的就业、住房、休闲、教育和购物条件以及家庭成员的年龄、性别、收入和家庭规模都会影响到人们对出行目的地和出行方式的选择,而家庭住房位置的影响则是长期的。应用沙特阿拉伯利雅得和澳大利亚墨尔本两座城市数据,分析了城市总体用地水平和人均水平、家庭人口及其距离工作地点的路程等对家庭汽车拥有量的影响,建立了家庭汽车拥有量多项式逻辑模型。模型表明,城市扩张是影响家庭汽车拥有量的主要因素,利雅得市家庭汽车拥有量在2辆以上,而墨尔本市不少于1辆。