scholarly journals LAND PRICES AND LOCATION OF FREIGHT TRANSPORT FACILITIES IN THE URBAN TRANSPORT PLANNING PROCESS

2019 ◽  
Author(s):  
GIUSEPPE MUSOLINO
Keyword(s):  
Planning Process ◽  
Freight Transport ◽  
Urban Transport ◽  
Transport Planning ◽  
Land Prices

scholarly journals Exploring Public Opinion on Personal Mobility Vehicle Use: A Case Study in Palermo, Italy

2020 ◽  
Vol 12 (13) ◽  
pp. 5460 ◽  
Author(s):  
Tiziana Campisi ◽  
Nurten Akgün ◽  
Dario Ticali ◽  
Giovanni Tesoriere
Keyword(s):  
Public Opinion ◽  
Planning Process ◽  
Age Groups ◽  
Urban Transport ◽  
Sociodemographic Characteristics ◽  
Urban Mobility ◽  
Transport Planning ◽  
Personal Mobility ◽  
Gender And Age ◽  
Personal Mobility Vehicle

The Sustainable Urban Mobility Planning (SUMP) process deals with barriers to improve accessibility and quality of life in urban mobility. Public opinion is highly essential for this process because it presents the real needs of road users. This paper illustrates the influence of public opinion on using Private Mobility Vehicle (PMV) in urban. A survey was carried out with 400 participants in Palermo, Italy. The results suggested that there was heterogeneity in gender and age groups in subcategories which represented people who use, do not use, and completely reject, using PMVs in urban. In addition, it was explored that there was a statistically significant relationship at 95% confidence level between sociodemographic characteristics (gender and age groups) and public opinion on PMV using. Employment status was found as an important parameter in transport planning. It was also showed that there was an inconsistency between local and national results. The results suggested that sociodemographic characteristics and public opinion should be investigated in further studies. In addition, a participatory planning process should be carried out to monitor for reliable evaluation in urban transport planning.

scholarly journals ROAD FREIGHT TRANSPORT PLANNING UNDER SUSTAINABLE CITY DEVELOPMENT

2020 ◽  
Vol 3 (156) ◽  
pp. 8-16
Author(s):  
N. Mospan
Keyword(s):  
Urban Population ◽  
Planning Process ◽  
Freight Transportation ◽  
Freight Transport ◽  
City Development ◽  
Urban Context ◽  
Sustainable City ◽  
Transport Planning ◽  
Urban Freight ◽  
Urban Freight Transport

This research paper devoted to the urban freight transport planning under sustainable city development. Continued urban population growth, traffic congestions, financial losses because of longer delivery times, harm-ful impact on environmental are highlighted as strong arguments for the freight traffic management in the cities. The article aims to help all stakeholders understand the challenges brought about by freight activities in an urban context, and make the planning process consistent and comprehensive for the city freight transportation system improvement. The brief overview of some recent foreign and native studies in urban transport planning and traffic engi-neering reveals main field of interests for modern researchers. The clear focus of the analysed scientific works di-rected on such aspects in sustainable urban freight transport development as energy and economic efficiency, eco-friendliness, safety, institutional and legal issues of freight transportations. Special attention is paid to the analy-sis of government initiatives in sustainable transport system development of Ukraine. Identification of the main freight transportation features in an urban area is carried out on the initial re-search stage. Each feature has an explanation for better understanding necessity of their usage in the freight transport planning process. The other focus of the research devotes to the description of the stages during urban freight transport planning process. Author attends a deep freight transport demand and supply analysis for a de-termination of the basic freight distribution regularities in an urban context. Therefore, a list of indicators for subsystem of city freight transportation evaluation is presented in the article. The whole set of indicators is divid-ed into economical, operational, environmental, social and general groups of indicators. Moreover, the compo-nents of successful measures implementation for an urban freight transport subsystem improvement are highlight-ed. Financial management, political support, institution, organisation and legal framework condition are consid-ered as the key elements of successful plans and measures implementation. Keywords: planning, sustainable development, freight transport, urban population, authorities.

scholarly journals Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2308 ◽  
Author(s):  
Can Bıyık
Keyword(s):  
Urban Areas ◽  
Planning Process ◽  
Smart Cities ◽  
Radical Change ◽  
Urban Transport ◽  
Transport Systems ◽  
Structured Interviews ◽  
Policy Makers ◽  
Comprehensive Survey ◽  
Future Vision

The smart city transport concept is viewed as a future vision aiming to undertake investigations on the urban planning process and to construct policy-pathways for achieving future targets. Therefore, this paper sets out three visions for the year 2035 which bring about a radical change in the level of green transport systems (often called walking, cycling, and public transport) in Turkish urban areas. A participatory visioning technique was structured according to a three-stage technique: (i) Extensive online comprehensive survey, in which potential transport measures were researched for their relevance in promoting smart transport systems in future Turkish urban areas; (ii) semi-structured interviews, where transport strategy suggestions were developed in the context of the possible imaginary urban areas and their associated contextual description of the imaginary urban areas for each vision; (iii) participatory workshops, where an innovative method was developed to explore various creative future choices and alternatives. Overall, this paper indicates that the content of the future smart transport visions was reasonable, but such visions need a considerable degree of consensus and radical approaches for tackling them. The findings offer invaluable insights to researchers inquiring about the smart transport field, and policy-makers considering applying those into practice in their local urban areas.

scholarly journals Research on Human Travel Correlation for Urban Transport Planning Based on Multisource Data

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 195
Author(s):  
Hua Chen ◽  
Ming Cai ◽  
Chen Xiong
Keyword(s):  
Travel Demand ◽  
Population Distribution ◽  
Human Mobility ◽  
Urban Transport ◽  
License Plate ◽  
Traffic Patterns ◽  
Trajectory Data ◽  
Transport Planning ◽  
Population Distributions ◽  
Single Dataset

With the rapid development of positioning techniques, a large amount of human travel trajectory data is collected. These datasets have become an effective data resource for obtaining urban traffic patterns. However, many traffic analyses are only based on a single dataset. It is difficult to determine whether a single-dataset-based result can meet the requirement of urban transport planning. In response to this problem, we attempted to obtain traffic patterns and population distributions from the perspective of multisource traffic data using license plate recognition (LPR) data and cellular signaling (CS) data. Based on the two kinds of datasets, identification methods of residents’ travel stay point are proposed. For LPR data, it was identified based on different vehicle speed thresholds at different times. For CS data, a spatiotemporal clustering algorithm based on time allocation was proposed to recognize it. We then used the correlation coefficient r and the significance test p-values to analyze the correlations between the CS and LPR data in terms of the population distribution and traffic patterns. We studied two real-world datasets from five working days of human mobility data and found that they were significantly correlated for the stay and move population distributions. Then, the analysis scale was refined to hour level. We also found that they still maintain a significant correlation. Finally, the origin–destination (OD) matrices between traffic analysis zones (TAZs) were obtained. Except for a few TAZs with poor correlations due to the fewer LPR records, the correlations of the other TAZs remained high. It showed that the population distribution and traffic patterns computed by the two datasets were fairly similar. Our research provides a method to improve the analysis of complex travel patterns and behaviors and provides opportunities for travel demand modeling and urban transport planning. The findings can also help decision-makers understand urban human mobility and can serve as a guide for urban management and transport planning.

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