Route choice and residential environment: introducing liveability requirements in navigation systems in Flanders

Vehicle route planning and navigation systems aim to provide the most beneficial routes to their users while disregarding the impact on the liveability of the surrounding residential areas. Therefore, future integration of route choice behaviour by route planners and measures to improve liveability and safety standards should be pursued. The Spatial Plan for Flanders, which is the overarching spatial policy plan in the northern part of Belgium, determines a system of road categories aimed at optimising the liveability of sensitive areas, such as residential neighbourhoods or school precincts, without jeopardizing accessibility. This paper examines to what extent routes proposed by commercial route planners differ from more socially desirable routes that are guided by the policy principles of road categorisation in Flanders as proposed by the plan. Results show that commercial route-planners’ routes choose more often roads of the lowest category than socially acceptable. However, for some of the assessed connections, the socially desired alternative is a feasible route as well, which is not excessively increasing time consumption or distance travelled. It is concluded that the implementation of the prevailing road categorisation system in Flanders in routing algorithms has the potential to promote more sustainable route choices, while infrastructural measures that discourage cut-through traffic may help materialising the categorisation system.     

Risk analysis of the EASA minimum fuel requirements considering the ACARE-defined safety target

We present the results of flight simulator experiments (60 runs) with randomly selected airline pilots under realistic operational conditions and discuss them in light of current fuel regulations and potential fuel starvation. The experiments were conducted to assess flight crew performance in handling complex technical malfunctions including decision-making in fourth-generation jet aircraft. Our analysis shows that the current fuel requirements of the European Aviation Safety Agency (EASA) are not sufficient to guarantee the safety target of the Advisory Council for Aviation Research and Innovation in Europe (ACARE), which is less than one accident in 10 million flights. To comply with this safety target, we recommend increasing the Final Reserve Fuel from 30 min to 45 min for jet aircraft. The minimum dispatched fuel upon landing should be at least 1 h.     

Exploring the spatial variations of transfer distances between dockless bike-sharing systems and metros

Dockless bike-sharing is emerging as a convenient transfer mode for metros. The riding distances of bike-sharing to or from metro stations are defined as transfer distances between dockless bike-sharing systems and metros, which determine the service coverages of metro stations. However, the transfer distances have rarely been studied and they may vary from station to station. Therefore, this study aims to explore the influencing factors and spatial variations of transfer distances between dockless bike-sharing systems and metros. First, a catchment method was proposed to identify bike-sharing transfer trips. Then, the Mobike trip data, metro smartcard data, and built environment data in Shanghai were utilized to calculate the transfer distances and travel-related and built environment variables. Next, a multicollinearity test, stepwise regression, and spatial autocorrelation test were conducted to select the best explanatory variables. Finally, a geographically weighted regression model was adopted to examine the spatially varying relationships between the 85th percentile transfer distances and selected explanatory variables at different metro stations. The results show that the transfer distances are correlated with the daily metro ridership, daily bike-sharing ridership, population density, parking lot density, footway density, percentage of tourism attraction, distance from CBD, and bus stop density around metro stations. Besides, the effects of the explanatory variables on transfer distances vary across space. Generally, most variables have greater effects on transfer distances in the city suburbs. This study can help governments and operators expand the service coverage of metro stations and facilitate the integration of dockless bike-sharing and metros.     

Measuring the inequality of accessible trams in Melbourne

In Melbourne, public policy has recently been enacted to improve access to the tram service with an emphasis upon people with a disability. Achieving that objective requires two elements. One is a low-floor tram and two is an elevated tram stop platform that facilitates boarding the tram. Currently the fleet of trams in Melbourne is made up of high-floor and low-floor designs, thus accessible services are unevenly distributed. In addition, construction of new tram stop platforms has been uneven. This suggests a form of inequality in accessible tram services for the disabled.Several studies of transport services have addressed this issue using the Gini coefficient and Lorenz curve calculations as seen in studies of disadvantaged groups such as the elderly. This research utilizes those approaches to estimate the current access of the disabled population to trams services in Melbourne. The approach compares the geography of the total and accessible tram services with the geography of the total and disabled population using the Gini coefficient and Lorenz curve.The results show that there is inequality in the accessible trams amongst people with a disability in Melbourne (Gini = 0.66) as 70% of the disabled population has access to only 22% of the accessible tram supply. In comparison, considering the total tram supply and the entire population, (Gini = 0.48) 70% of the population shares 40% of the tram supply. Hence, at this stage the provision of accessible tram services for people with a disability falls well below that of the general population. These results provide an insight into the current tram service inequality and can be used as a reference for future tram system investment. Further, the approach could be used to increase awareness of this matter and encourage an inclusive and sustainable public transport planning and development in both local and global contexts.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Evaluating the effects of parking policy measures in nature areas

Parking policy measures are widely used to manage cars in nature areas. Only with data from long-term monitoring projects is it possible to separate “normal” fluctuation in the number of cars from fluctuation caused by trends or caused by the effects of these measures. An evaluation of measures implemented in two dune areas in the Netherlands shows that parking policy measures affect the number of cars. While the number and location of parking places can be used to manage the number of cars and their spatial distribution in the area, the implementation of parking charges only brings about a temporary effect.     

The role of market research and consultation in developing parking policy

There is a demonstrable link between parking availability, price and mode choice, and parking policy has been shown to be a powerful demand management tool. Parking however is clearly an area of policy conflict since using it to manage demand may reduce revenue generation, or (be perceived to) damage the local economy. In terms of on-street and off-street parking there are a wide range of users who often have conflicting opinions, which have to be taken into account in its management, invariably leading to parking policies and measures that do not maximise the demand management potential of parking.This paper presents a range of public and business opinion data, from the case study of Edinburgh, Scotland, UK, collected as part of the consultation for its parking strategy in 2005–2006. The strategy covers a wider geographical area than simply the city centre, and whilst this paper makes reference to this wider area it primarily deals with the city centre since that is where the majority of the parking strategy issues are to be found. After setting the policy and political context, the paper goes on to present these data. It then shows how the city's parking policies were changed in response to the consultation. These policy changes are compared with parking policies that would solely manage travel demand, to demonstrate how the political process leads to compromise in the formulation of parking policies and measures.     

A multilayer model to simulate cruising for parking in urban areas

In this paper we propose an assignment model on urban networks to simulate parking choices; this model is able to simulate the impact of cruising for parking on traffic congestion. For simulating parking choice and estimating the impact of cruising on road congestion we propose a multi-layer network supply model, where each layer simulates a trip phase (on-car trip between the origin and destination zone, cruising for parking at destination zone and walking egress trip). In this model the cruising time is explicitly simulated on the network. The proposed model is tested on a trial network and on a real-scale network; numerical tests highlighted that the proposed model is able to simulate user parking choice behaviour and the impact of cruising for parking upon road congestion, particularly when the average parking saturation degrees exceed 0.7.     

Examining transformative processes in volunteer tourism

This study adopts a multidisciplinary perspective on the process of transformational change in volunteer tourism. Transformational change is understood as an individualized process which can lead to a critical awareness of the self, leading to a new self-definition. It involves four specific elements, a reflection upon the content of their knowledge, the process of knowing, the premise of what they know and the relational elements of their knowledge. Adopting a qualitative semi-structured interview approach, volunteer tourists provide an account of their volunteer tourism experiences in relation to these four transformational process elements. The results indicate that transformational change does occur through tourism, but that this is an individualized process, not an end outcome. Transformation may be strong at an internal level but it may or may not manifest in behaviour that the individual tourist him or herself is even aware of, let alone observable behaviour that researchers can quantify. It is therefore best understood as a process with distinct steps, of which a change in behaviour is just one element. Facilitators of change can be identified but only partially explain why transformation does and does not occur.     

Determining long-term parking needs at OR Tambo International Airport in Johannesburg

The economic growth and arrival of low-cost airlines in South Africa has led to a boom in air passenger travel. The OR Tambo International Airport in Johannesburg has seen increased passenger numbers of around 10% per annum. This, combined with FIFA requirements for the Soccer World Cup 2010, has sparked various investments.During the planning of the investment a knowledge gap was identified. A research study by the University of Cape Town has resulted in the development of a long-term sketch planning tool that can assist in exploring future scenarios. This paper summarises the development and application of the tool.     

Exploring the trip chaining behaviour of public transport users in Melbourne

This paper explores trip chaining behaviour of Melbourne residents using evidence from a household travel survey. The research literature has suggested that trip-making behaviour has grown increasingly complex as modern life has become busier and people grow time-poor. Complex trip chains have been said to require flexible travel modes, and for this reason some research has suggested that public transport is limited in this regard compared to the private car. Results of this study show that between 1994 and 1999 the complexity of trip chains was relatively stable and the complexity of chains was found to be larger for rail and tram than for car-based trips. Disaggregate analyses compare the complexity of chains based on work versus non-work chains, the purpose of stops on the chain, and whether the chain entered the central city of Melbourne or not. Overall these findings suggest a less bleak outlook for public transport ridership in a travel future which is said to be becoming more complex.     

Combined impacts of highways and light rail transit on residential property values: a spatial hedonic price model for Phoenix,Arizona

This study analyzes the positive and negative relationships between housing prices and proximity to light rail and highways in Phoenix, Arizona. We hypothesize that the accessibility benefits of light rail transit (LRT) and highways accrue at nodes (stations and highway exits specifically), while disamenities emanate from rail and highway links as well as from nodes. Distance decay of amenities and disamenities is captured using multiple distance bands, and hypotheses are tested using a spatial hedonic model using generalized spatial two-stage least-squares estimation. Results show that proximity to transport nodes was associated significantly and positively with single-family detached home values. As a function of distance from highway exits and LRT stations, the distance-band coefficients form an inverted-U pattern consistent with a positive longer-range distance–decay accessibility effect minus a smaller and shorter-range distance–decay disamenity effect. The positive accessibility effect for highway exits extends farther than for LRT stations. Coefficients for the distance from highway and LRT links, however, were not significant. We also test the effect of highway design on home values and find that below-grade highways have relatively positive impacts on nearby houses compared to those at ground level or above.     

The effects of deregulation, changed customer requirements and new technology on the organisation and spatial patterns of the air freight sector in Europe

Customer requirements, new technologies and the deregulation and liberalisation measures of the last 15 years have had a significant influence on market structures in air freight transport in Europe. The study examines the sector using the concept of global production networks. It describes the reorganisation in various dimensions. Firstly, there is the development from single air freight forwarders to global networks of firms. Secondly, we find a reorganisation of inter-company relations. Thirdly, airlines around the world organise their air traffic as a hub system. This lends added importance to the selected hub airport, and puts pressure on them to enlarge. As spatial consequences there is greater competition among international airports.     

Understanding the parking supply mechanism in China: a case study of Shenzhen

Parking policy in China is characterized by “high regulation in supply and mispricing.” City governments rely on the “minimum parking requirement,” the conventional approach, to manage parking quantity, which shapes a unique phenomenon called the “developer-led supply pattern.” In this paper, we establish ordinary least squares models to explore “spatial-mismatch” characteristics that result from the current parking policy and infer the latent mechanism of parking supply using geographical correlation analysis. In the case of Shenzhen, we found that few urban factors at the district level are involved in the decision making of developers regarding parking provision, which compromises the endeavor of creating sustainable transport and thus requires further policy intervention. Market force serves its role in strict planning regulations at the neighborhood level because of the dominant role of property developers. These models not only confirm the mismatch of parking supply with the objectives of sustainable urban transport but also reveal the willingness of developers as a driving force that interacts with the regulatory environment. Such willingness leads to a spatially inconsistent, inefficient parking supply pattern over the entire Shenzhen metropolis. Based on these findings, two suggestions are made for parking policy on district and neighborhood bases that address the situation of high-density urbanization in Chinese cities and similar circumstances.     

Changing trip behavior in a higher education institution: The role of parking fees

Higher education institutions are major trip-generating locations and the transportation to and from them has negative environmental influences. To discourage car owners from solo driving and encourage them to use more environmentally friendly travel modes, it is important to understand what factors influence their travel mode choice. Using a discrete choice model, we examined the motivations to leave the car at home, with and without parking fee. Besides parking fees, we examined the effects of other variables known to predict commuting choice, such as time and social discomfort, pro-environmental attitudes, reduced vehicle maintenance expenses and awareness of alternative commuting options. Results show that adding a parking fee not only increased the tendency to leave the car at home, it also influenced the relative weight given to the considerations that determine to leave the car at home. Specifically, after the introduction of a parking fee, the previously significant impacts of pro-environmental attitudes and social discomfort on leaving the car at home became non-significant, and the impacts of other, more instrumental factors (e.g., time discomfort, costs related to car ownership and maintenance, time wasted searching for a parking space and in traffic jams) which were insignificant beforehand, became the significant predictors. Parking fees were found to be effective and can change to accommodate different policies (revenue collection, pollution reduction, and students’ discomfort). The implications of such a study are the trade-off between monetary (parking fee) and non-monetary variables to accommodate more sustainable traffic management.     

Job growth,accessibility, and changing commuting burden of employment centres in Melbourne

How transport and employment agglomeration enhance urban productivity is a fundamental problem for many cities. Internationally, there has been a great deal of interest in the effect of employment concentration on urban productivity, but very few studies have examined its effect on worker commuting burdens and transport costs. This paper aims to advance international knowledge by measuring job growth and costs of labour market access between 2011 and 2016 for employment centres (EC) in Melbourne, Australia. A comprehensive transport cost model is used that incorporates detailed transport costs and travel times associated with transport modes. By tracking job growth and changes in worker commuting burdens, this paper distinguishes ‘high-cost’ ECs from ‘low-cost’ ECs, for their respective labour pools, and identifies which ECs offer opportunities for better transport outcomes. The results show that well-planned public transport (PT) systems and residential development, coupled with walking and cycle networks, are important features of ECs experiencing lower commuting burdens. Drawing upon the conclusions, this research recommends more effective approaches by governments to foster effective investments in urban infrastructure and discusses how broader policy and investment decisions can align to optimise employment agglomeration and minimise negative transport impacts.     

Accessibility across transport modes and residential developments in Nairobi

A key goal of urban transportation planning is to provide people with access to a greater number of opportunities for interaction with people and places. Measures of accessibility are gaining attention globally for use in planning, yet few studies measure accessibility in cities in low-income countries, and even fewer incorporate semi-formal bus systems, also called paratransit. Drawing on rich datasets available for Nairobi, Kenya this analysis quantifies place-based accessibility for walking, paratransit, and driving using three different measures: a mobility measure quantifying how many other locations in Nairobi can be reached in 60 min, a contour measure quantifying the number of health facilities that can be reached in 60 min, and a gravity measure quantifying the number of health facilities weighted by a time-decay function. Health facilities are used because they are an essential service that people need physical access to and as a representation of the spatial distribution of activities more broadly. The findings show that place-based accessibility is highest for driving, then paratransit, then walking, and that there are high levels of access to health facilities near the Central Business District (CBD) for all modes. Additionally, paratransit accessibility is comparatively better in the contour and gravity measures, which may mean that paratransit is efficiently providing access based on the spatial distribution of services. The contour measure results are also compared across different residential levels, which are grouped based on neighborhood characteristics and ordered by income. Counterintuitively, the wealthiest areas have very low levels of place-based accessibility for all modes, while poor areas have comparatively better walking access to health facilities. Interestingly, the medium low residential level, characterized in part by tenement apartment buildings, has significantly higher accessibility than other residential types. One way to reduce inequality in access across income groups is to increase spatial accessibility for the modes used by low- and middle-income households, for example with policies that prioritize public transport and non-motorized travel, integrate paratransit with land use development, and provide safe, efficient, and affordable options.     

Social exclusion, location and transport disadvantage amongst non-driving seniors in a Melbourne municipality, Australia

Over the past decade, researchers have refocused their attention upon the interconnection between locationally disadvantaged communities and poor transport services in order to better understand social exclusion. Limited access to private and public transport has often been identified as a major contributing factor to social isolation and economic poverty that certain groups in the community experience. To date, an insufficient amount of research attention has focused on the elderly or seniors, who are often identified as being subject to social exclusion because of difficulties associated with travelling outside their homes to access services and facilities especially for non-car drivers. Moreover, a disproportionate amount of research undertaken on transport related forms of social exclusion in Australia has understandably looked towards the outskirts of its major urban centres, where services and facilities are sparsely located and generally only accessible by car. This paper provides a different insight by analysing a middle distant municipality where large spatial concentrations of seniors are to be found, some of whom do not have ready access to a car or have difficulty accessing the public bus service. Using a variety of data sources for a municipality in Melbourne, this case study reveals that social exclusion of non-car driving seniors is reinforced by a regional public transport system that cannot adequately service the entire municipality. For now, the incidence of locational and transport related disadvantage is restricted to small pockets of the municipality, but as seniors age and surrender their car driving licences this problem could become more serious. The study concludes by calling for more analyses to be undertaken into transport engendered social exclusion if this problem is to be contained as the post-war baby-boomers generation ages across most of the middle suburbs of Australian cities.     

Reducing the uncertainty induced by spatial aggregation in accessibility and spatial interaction applications

Analyses of spatial interaction are to some degree plagued by uncertainty regarding the impact of spatially dispersed interaction masses within zones on travel times. In this paper, interaction-weighted travel times are computed from a matrix between regularly distributed points at fine resolution, and used together with secondary data to improve estimates of interaction weighted travel time based on commonly applied methods. The paper proposes a method for computing intra-zonal, interaction weighted travel times that is considerably less sensitive to spatial aggregation than existing approaches, and demonstrates that population-weighted centroids are to be preferred over geographically-weighted centroids.