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In successfully meeting city and metropolitan growth, sustainable development is compulsory. Sustainability is a must-focus for any project, particularly for large and mega rail infrastructure. This paper aims to investigate to what degree social, environmental and economic factors influence the government when planning sustainable rail infrastructure projects. To respond to such a matter, this paper focuses on two Australian mega-rail projects: the South West Rail Link (SWRL) and the Mernda Rail Extension (MRE).

As the basis of an experimental evaluation framework strengths, weaknesses, opportunities and threats (SWOT) and factor analysis were used. These two methods were specifically selected as comparative tools for SWRL and SWRL projects, to measure their overall sustainability effect.

Using factor analysis, in the MRE, the factors of network capacity, accessibility, employment and urban planning were seen frequently throughout the case study. However, politics and economic growth had lower frequencies throughout this case study. This difference between the high-weighted factors is likely a key element that determined the SWRL to be more sustainable than the MRE. The SWOT analysis showed the strengths the MRE had over the SWRL such as resource use and waste management, and natural habitat preservation. These two analyses have shown that overall, calculating the sustainability levels of a project can be subjective, based on the conditions surrounding various analysis techniques.

This paper first introduces SWRL and MRE projects followed by a discussion about their overall sustainable development. Both projects go beyond the traditional megaprojects' goal of improving economic growth by developing and enhancing infrastructure. Globally, for such projects, sustainability measures are now considered alongside the goal of economic growth. Second, SWOT and factor analysis are undertaken to further evaluate the complexity of such projects. This includes their overall sustainable development vision alignment with environmental, economic and social factors.

A general global wave of public participation is occurring. Students and researchers as well as civil servants, policy-makers, and NGO representatives are encouraged to study, propose, and engage in public participation. New innovative forms of participation are suggested, and experiments in participation are ongoing locally and nationally. Within the transport sector, most studies of participation focus on road infrastructure and other land use changes. However, for other areas within transport, studies are limited and fragmented. Based on this, we see a need for a volume on public participation in transport, aimed at practitioners, students, and researchers, in what are unarguably times of change. The overall aim of the volume is to provide examples of different forms of public participation in transport, which can work as a setting for further analyses and discussions of public participation in transport. Drawing on different cases, eight empirical chapters are presented covering three main themes: grass-roots participation initiatives, participation in unconventional areas, and public participation that throws up unexpected results. In this introductory chapter, we set the scene for later discussions and analyses of public participation in transport. This chapter also provides an overview of the structure and content of the volume.

This research study aims at revealing a planning method for the development of the Souq Waqif-Transit village.

Over the past decade, transit-oriented developments (TODs) have become an international city planning model for promoting sustainable urbanism. On a regional scale, the State of Qatar launched the construction of Doha Metro. The current network consists of three lines with a central interchange station within the city's most vibrant cultural core, i.e., between Msheireb Downtown Doha and Msheireb, near to the Souq Waqif historical site and Al Corniche waterfront promenade. The Qatar National Development Framework emphasizes the importance of stimulating sustainable urban growth by linking the Doha Metro with TODs.

The findings show that the benefits of a strategy for monitoring and assessing the potential benefits of the investigated TOD linked to the analysis of the indices for (1) travel behavior, (2) built environment diversity and (3) other categories specific to the site's historical-heritage preservation.

Namely, a comprehensive approach for developing a historical site is/should be grounded in a planning method for enhancing the mixed-used urban fabric, public realm and walkability, and heritage preservation.

The insights from this research study aim to guide the long-term sustainable urban growth of Gulf Cooperation Council (GCC) cities in the future.

The proposed sustainable growth planning scheme for the Souq Waqif addresses gaps highlighted through design tools of investigation. The missing attributes concern three key factors: (1) mixed-used urban fabric, (2) public realm and walkability and (3) built heritage preservation. The quality of streetscape, corridors, connections and connectivity of pedestrian and walkable network: TOD is not dependent on a singular mode of transport (Doha Metro), but it includes all systems that allow for mass public mobility within the city districts. Integrating other transport systems within mixed-use areas should be reevaluated based on accessibility to such systems, including taxi services, public bus services and public shuttles.

Agricultural land loss is a severe issue that Australia faces, along with many other countries. Myriad research studies have discussed the reasons for such land loss, including urban sprawl as the main factor and factor's repercussions. However, there is a knowledge gap in understanding the impact of dwelling type on farming land reduction. Also, there is an application gap, particularly in the local context. The purpose of this study is to discover the effect of differing dwelling types (compact and non-compact) in metropolitan areas with a growing population (such as Craigieburn) toward potentially noticeable agricultural land loss.

This paper aims to fill these research and practice gaps through a case study using a mixed methods approach. A quantitative analysis was conducted of housing types, the types' growth and agricultural land area taken up by those different housing types over 18 years. Thematic analysis of policies, strategies, schemes and codes relevant to the case study enabled a better understanding of practice gaps.

The study revealed a significant loss of agricultural land. Separate housing was found to be the main culprit due to the number of houses and the area the houses require, thus exhibiting the lack of practical guidelines to prevent the houses' overdevelopment. The findings enabled the identification of opportunities for better practice through government intervention and potential industry alterations.

Previous literature has primarily explored the issues associated with urban sprawl and the sprawl's unsustainability. This research paper offers a more targeted insight into one of the key factors leading to urban sprawl: the types of dwellings being constructed.

Women's travel pattern is different from those of men. Women who have both paid employment and unpaid care work have more complex travel patterns. However, land-use policies and urban mobility strategies in the Egyptian context do not consider these differences. This paper analyzes and discusses the travel patterns of the Egyptian working women with children. It examines the difference between men's and women's travel behavior in different income levels. The paper aims at determining the main factors that affect working women's travel patterns within the care economy framework and suggesting recommendations for enhancing women's travel patterns in Greater Cairo Region (GCR).

The methodology relies on conducting a quantitative and qualitative analysis using questionnaires and interviews with working women and men from different social/economic levels in two different workplaces in GCR.

The results demonstrate that income level, workplace locations, schools locations, and schools typologies greatly affect working women's travel patterns in GCR.

The study findings will help urban planners and decision-makers to improve working women's mobility to make their daily trips shorter and more accessible to achieve equitable cities through understanding the conducted affecting factors and considering the suggested recommendations.

Urban transport plays a key role in reducing climate gas emissions. However, public policies are developed and implemented in an increasingly complex, fragmented, and multilevelled society. This chapter focuses on how interactive political leadership can address challenges related to spatial justice, network cooperation, and communication to increase legitimate and robust policies. Through in-depth case studies of the Norwegian urban regions of Trondheim and Nord-Jaeren, the importance of ensuring broad political alliances, handling spatial complexity, strong political leadership, as well as engaging in dialogue and communication with the public is shown. This may be more challenging to achieve in a complex institutional structure. We argue that governance structures reflect dynamics of the urban regions in which they are implemented. Related to our two empirical cases, the urban structure of Nord-Jaeren is more complex, compared to that of Trondheim, and likewise is their governance network. Linking the conditions of interactive political leadership to the three interconnected urban governance challenges, we see that contextual characteristics are important to explain differences in political leadership and public engagement.

The aim of this study is to propose a governance model and key performance indicators on how policymakers can contribute to a more accessible, inclusive and sustainable mobility within and across smart cities to examine sustainable urban mobility grounded on the rational management of public transportation infrastructure.

This study employed desk research methodology grounded on secondary data from existing documents and previous research to develop a sustainable mobility governance model that explores key factors that influence future urban policy development. The collected secondary data was descriptively analyzed to provide initiatives and elements needed to achieve sustainable mobility services in smart cities.

Findings from this study provide evidence on how cities can benefit from the application of data from different sources to provide value-added services to promote integrated and sustainable mobility. Additionally, findings from this study discuss the role of smart mobility for sustainable services and the application for data-driven initiatives toward sustainable smart cities to enhance mobility interconnectivity, accessibility and multimodality. Findings from this study identify technical and non-technical factors that impact the sustainable mobility transition.

Practically, this study advocates for the use of smart mobility and data-driven services in smart cities to improve commuters' behavior aimed at long-term behavior change toward sustainable mobility by creating awareness on the society and supporting policymakers for informed decisions. Implications from this study provide information that supports policymakers and municipalities to implement data-driven mobility services.

This study provides implications toward behavioral change of individuals to adopt a more sustainable mode of travels, increase citizens’ quality of life, improve economic viability of business involved in providing mobility-related services and support decision-making for municipalities and policymakers during urban planning and design by incorporating the sustainability dimension into their present and future developments.

This paper explores how urban transportation can greatly reduce greenhouse gas emissions and provides implications for cities to improve accessibility and sustainability of public transportation, while simultaneously promoting the adoption of more environmentally friendly means of mobility within and across cities. Besides, this study provides a detailed discussion focusing on the potential opportunities and challenges faced in urban environment in achieving sustainable mobility. The governance model developed in this study can also be utilized by technology startups and transportation companies to assess the factors that they need to put in place or improve for the provision of sustainable mobility services.

Despite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an equity lens. Therefore, this study proposes a modeling framework that enables researchers and planners to estimate the baseline equity performance of a major e-commerce platform and evaluate equity impacts of possible urban freight management strategies. The study also analyzes the sensitivity of various operational decisions to mitigate bias in the analysis.

The model adapts empirical methodologies from activity-based modeling, transport equity evaluation, and residential freight trip generation (RFTG) to estimate person- and household-level delivery demand and cargo van traffic exposure in 41 U.S. Metropolitan Statistical Areas (MSAs).

Evaluating 12 measurements across varying population segments and spatial units, the study finds robust evidence for racial and socio-economic inequities in last-mile delivery for low-income and, especially, populations of color (POC). By the most conservative measurement, POC are exposed to roughly 35% more cargo van traffic than white populations on average, despite ordering less than half as many packages. The study explores the model’s utility by evaluating a simple scenario that finds marginal equity gains for urban freight management strategies that prioritize line-haul efficiency improvements over those improving intra-neighborhood circulations.

Presents a first effort in building a modeling framework for more equitable decision-making in last-mile delivery operations and broader city planning.

The purpose of this paper is to model housing price temporal variations and to predict price trends within the context of land use–transportation interactions using machine learning methods based on longitudinal observation of housing transaction prices.

This paper examines three machine learning algorithms (linear regression machine learning (ML), random forest and decision trees) applied to housing price trends from 2001 to 2016 in the Greater Toronto and Hamilton Area, with particular interests in the role of accessibility in modelling housing price. It compares the performance of the ML algorithms with traditional temporal lagged regression models.

The empirical results show that the ML algorithms achieve good accuracy (R² of 0.873 after cross-validation), and the temporal regression produces competitive results (R² of 0.876). Temporal lag effects are found to play a key role in housing price modelling, along with physical conditions and socio-economic factors. Differences in accessibility effects on housing prices differ by mode and activity type.

Housing prices have been extensively modelled through hedonic-based spatio-temporal regression and ML approaches. However, the mutually dependent relationship between transportation and land use makes price determination a complex process, and the comparison of different longitudinal analysis methods is rarely considered. The finding presents the longitudinal dynamics of housing market variation to housing planners.

Public participation in policy-making can play a fundamental role in improving effectiveness via two mechanisms: strengthening the alignment between public needs and proposed measures, and increasing public consensus (and compliance) about them. It is, therefore, particularly relevant to foster public participation in sustainable mobility planning at the urban scale, as strongly recommended by the European Union, not only to avoid protests and resolve conflicts but also to find the best solutions for the city. Among many different tools and methodologies for implementing public participation, Living Labs have also shown great potential in enhancing the co-creation of strategies and measures for achieving sustainable mobility for both passengers and freight.

Through the analysis of the participatory process carried out by the municipality of Rome to support the definition of the Sustainable Urban Mobility and Logistics Plans, this chapter explores different involvement levels, tools and strategies in this field, with a particular focus on the innovative Logistics Living Lab developed in this city. This also contributes to filling a gap in the literature on how and to what extent citizens could or should participate in city logistics planning. The results of the analysis highlight that, despite these efforts, citizen participation in planning urban logistics is still a challenge that deserves additional effort and resources to be properly enhanced and improved and that a Living Lab offers great potential to meet this challenge. In turn, this case study could help policy-makers to identify solutions for more effective and acceptable measures to addressing city logistics and the externalities it generates.